Search

Your search keyword '"Haubold A"' showing total 5,506 results
Start Over Author "Haubold A"
5,506 results on '"Haubold A"'

1. Modified Models for Neutrino Masses and Mixings

Author

Mathai, Arak M. and Haubold, Hans J.

Subjects
High Energy Physics - Phenomenology, Astrophysics - Solar and Stellar Astrophysics
Abstract

The neutrino sector of the seesaw-modified Standard Model is investigated under the anarchy principle. The anarchy principle leading to the seesaw ensemble is studied analytically with tools of random matrix theory. The probability density function is obtained., Comment: 16 pages. arXiv admin note: text overlap with arXiv:1609.08581 by other authors

Published
2024

2. Mittag-Leffler Probability Density for Nonextensive Statistics and Superstatistics

Author

Mathai, A. M. and Haubold, H. J.

Subjects
Mathematical Physics, Condensed Matter - Statistical Mechanics
Abstract

It is shown that a Mittag-Leffler density has interesting properties. The Mittag-Leffler random variable has a structural representation in terms of a positive Levy variable and the power of a gamma variable where these two variables are independently distributed. It is shown that several central limit-type properties hold but the limiting forms are positive Levy variable rather than a Gaussian variable. A path is constructed from a Mittag-Leffler function to the Mathai pathway model which also provides paths to nonextensive statistics and superstatistics., Comment: 7 pages

Published
2024

3. A Note on Mathai's Entropy Measure

Author

Haubold, Hans J.

Subjects
Condensed Matter - Statistical Mechanics, Physics - Data Analysis, Statistics and Probability, 94A17, 62810, 62E15, 62H10
Abstract

In a paper [8] the authors classify entropy into three categories, as a thermodynamics quantity, as a measure of information production, and as a means of statistical inference. An entropy measure introduced by Mathai falls into the second and third categories. It is shown that this entropy measure is the same whether the variables involved are real or complex scalar, vector, or matrix variables. If the entropy measure is optimized under some moment-like conditions then one can obtain various types of densities which are applicable in different areas. Unlike Tsallis' entropy [9], it does not need an intermediary escort distribution to yield the desired results. Calculus of variation can be directly applied to obtain the desired results under Mathai's entropy. Tsallis' entropy, which is the basis of the area of non-extensive statistical mechanics, is a modified version of the $\alpha$-generalized entropy of Havrda-Charvat considered in [7]. Various types of distributions that can be obtained through optimization of Mathai's entropy, are illustrated in this paper., Comment: 7 pages

Published
2024

4. An Annotated Dataset of Errors in Premodern Greek and Baselines for Detecting Them

Author

Brooks, Creston, Haubold, Johannes, Cowen-Breen, Charlie, White, Jay, DeVaul, Desmond, Riemenschneider, Frederick, Narasimhan, Karthik, and Graziosi, Barbara

Subjects
Computer Science - Computation and Language
Abstract

As premodern texts are passed down over centuries, errors inevitably accrue. These errors can be challenging to identify, as some have survived undetected for so long precisely because they are so elusive. While prior work has evaluated error detection methods on artificially-generated errors, we introduce the first dataset of real errors in premodern Greek, enabling the evaluation of error detection methods on errors that genuinely accumulated at some stage in the centuries-long copying process. To create this dataset, we use metrics derived from BERT conditionals to sample 1,000 words more likely to contain errors, which are then annotated and labeled by a domain expert as errors or not. We then propose and evaluate new error detection methods and find that our discriminator-based detector outperforms all other methods, improving the true positive rate for classifying real errors by 5%. We additionally observe that scribal errors are more difficult to detect than print or digitization errors. Our dataset enables the evaluation of error detection methods on real errors in premodern texts for the first time, providing a benchmark for developing more effective error detection algorithms to assist scholars in restoring premodern works.

Published
2024

5. ReXamine-Global: A Framework for Uncovering Inconsistencies in Radiology Report Generation Metrics

Author

Banerjee, Oishi, Saenz, Agustina, Wu, Kay, Clements, Warren, Zia, Adil, Buensalido, Dominic, Kavnoudias, Helen, Abi-Ghanem, Alain S., Ghawi, Nour El, Luna, Cibele, Castillo, Patricia, Al-Surimi, Khaled, Daghistani, Rayyan A., Chen, Yuh-Min, Chao, Heng-sheng, Heiliger, Lars, Kim, Moon, Haubold, Johannes, Jonske, Frederic, and Rajpurkar, Pranav

Subjects
Computer Science - Machine Learning, Computer Science - Computation and Language
Abstract

Given the rapidly expanding capabilities of generative AI models for radiology, there is a need for robust metrics that can accurately measure the quality of AI-generated radiology reports across diverse hospitals. We develop ReXamine-Global, a LLM-powered, multi-site framework that tests metrics across different writing styles and patient populations, exposing gaps in their generalization. First, our method tests whether a metric is undesirably sensitive to reporting style, providing different scores depending on whether AI-generated reports are stylistically similar to ground-truth reports or not. Second, our method measures whether a metric reliably agrees with experts, or whether metric and expert scores of AI-generated report quality diverge for some sites. Using 240 reports from 6 hospitals around the world, we apply ReXamine-Global to 7 established report evaluation metrics and uncover serious gaps in their generalizability. Developers can apply ReXamine-Global when designing new report evaluation metrics, ensuring their robustness across sites. Additionally, our analysis of existing metrics can guide users of those metrics towards evaluation procedures that work reliably at their sites of interest.

Published
2024

6. On Extended d-D Kappa Distribution

Author

Mathai, Arak M. and Haubold, Hans J.

Subjects
Astrophysics - Solar and Stellar Astrophysics, Physics - Plasma Physics
Abstract

Thermal Doppler broadening of spectral profiles for particle populations in the absence or presence of potential fields are described by kappa distributions. The kappa distribution provides a replacement for the Maxwell-Boltzmann distribution which can be considered as a generalization for describing systems characterized by local correlations among their particles as found in space and astrophysical plasmas. This paper presents all special cases of kappa distributions as members of a general pathway family of densities introduced by Mathai., Comment: 10 pages

Published
2024

7. SALT: Introducing a Framework for Hierarchical Segmentations in Medical Imaging using Softmax for Arbitrary Label Trees

Author

Koitka, Sven, Baldini, Giulia, Schmidt, Cynthia S., Pollok, Olivia B., Pelka, Obioma, Kohnke, Judith, Borys, Katarzyna, Friedrich, Christoph M., Schaarschmidt, Benedikt M., Forsting, Michael, Umutlu, Lale, Haubold, Johannes, Nensa, Felix, and Hosch, René

Subjects
Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Artificial Intelligence, Computer Science - Computer Vision and Pattern Recognition
Abstract

Traditional segmentation networks approach anatomical structures as standalone elements, overlooking the intrinsic hierarchical connections among them. This study introduces Softmax for Arbitrary Label Trees (SALT), a novel approach designed to leverage the hierarchical relationships between labels, improving the efficiency and interpretability of the segmentations. This study introduces a novel segmentation technique for CT imaging, which leverages conditional probabilities to map the hierarchical structure of anatomical landmarks, such as the spine's division into lumbar, thoracic, and cervical regions and further into individual vertebrae. The model was developed using the SAROS dataset from The Cancer Imaging Archive (TCIA), comprising 900 body region segmentations from 883 patients. The dataset was further enhanced by generating additional segmentations with the TotalSegmentator, for a total of 113 labels. The model was trained on 600 scans, while validation and testing were conducted on 150 CT scans. Performance was assessed using the Dice score across various datasets, including SAROS, CT-ORG, FLARE22, LCTSC, LUNA16, and WORD. Among the evaluated datasets, SALT achieved its best results on the LUNA16 and SAROS datasets, with Dice scores of 0.93 and 0.929 respectively. The model demonstrated reliable accuracy across other datasets, scoring 0.891 on CT-ORG and 0.849 on FLARE22. The LCTSC dataset showed a score of 0.908 and the WORD dataset also showed good performance with a score of 0.844. SALT used the hierarchical structures inherent in the human body to achieve whole-body segmentations with an average of 35 seconds for 100 slices. This rapid processing underscores its potential for integration into clinical workflows, facilitating the automatic and efficient computation of full-body segmentations with each CT scan, thus enhancing diagnostic processes and patient care.

Published
2024

10. Fox's H-Functions: A Gentle Introduction Through Astrophysical Thermonuclear Functions

Author

Haubold, Hans J., Kumar, Dilip, and Kabeer, Ashik A.

Subjects
Nuclear Theory, Astrophysics - Cosmology and Nongalactic Astrophysics, Astrophysics - Solar and Stellar Astrophysics
Abstract

Needed for cosmological and stellar nucleosynthesis, we are studying the closed-form analytic evaluation of thermonuclear reaction rates. In this context, we undertake a comprehensive analysis of three distinct velocity distributions, namely the Maxwell-Boltzmann distribution, the pathway distribution, and the Mittag-Leffer distribution. We emphasize the utilization of Meijer G-function and Fox H-function which are special functions of mathematical physics., Comment: 8 pages

Published
2024

11. Does SuperKamiokande Observe Levy Flights of Solar Neutrinos?

Author

Haubold, Hans J. and Mathai, Arak M.

Subjects
High Energy Physics - Phenomenology, Astrophysics - Solar and Stellar Astrophysics, Condensed Matter - Statistical Mechanics, High Energy Physics - Experiment
Abstract

The paper utilizes data from the SuperKamiokande solar neutrino detection experiment and analyses them by diffusion entropy analysis and standard deviation analysis. The result indicates that solar neutrinos are subject to Levy flights (anomalous diffusion, superdiffusion). Subsequently, the paper derives the probability density function, represented as Fox H-function, and the governing fractional diffusion equation (fractional Fokker-Planck Equation) for solar neutrino Levy flights., Comment: 13 pages. arXiv admin note: substantial text overlap with arXiv:1209.1520

Published
2024

12. Pathway to Fractional Integrals, Fractional Differential Equations and the Role of H-function

Author

Mathai, Arak M. and Haubold, Hans J.

Subjects
Condensed Matter - Statistical Mechanics, Mathematical Physics, 26A33, 26B15, 33C99, 33E12, 49K05, 62E15, 94A15
Abstract

The pathway model for the real scalar variable case is re-explored and its connections to fractional integrals, solutions of fractional differential equations, Tsallis statistics and superstatistics in statistical mechanics, reaction-rate probability integral, Kraetzel transform, and pathway transform are explored. It is shown that the common thread in these connections is the H-function representations. The pathway parameter is shown to be connected to the fractional order in fractional integrals and fractional differential equations., Comment: 14 pages

Published
2024

13. Gadolinium dose reduction for brain MRI using conditional deep learning

Author

Pinetz, Thomas, Kobler, Erich, Haase, Robert, Luetkens, Julian A., Meetschen, Mathias, Haubold, Johannes, Deuschl, Cornelius, Radbruch, Alexander, Deike, Katerina, and Effland, Alexander

Subjects
Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Computer Vision and Pattern Recognition, Computer Science - Machine Learning
Abstract

Recently, deep learning (DL)-based methods have been proposed for the computational reduction of gadolinium-based contrast agents (GBCAs) to mitigate adverse side effects while preserving diagnostic value. Currently, the two main challenges for these approaches are the accurate prediction of contrast enhancement and the synthesis of realistic images. In this work, we address both challenges by utilizing the contrast signal encoded in the subtraction images of pre-contrast and post-contrast image pairs. To avoid the synthesis of any noise or artifacts and solely focus on contrast signal extraction and enhancement from low-dose subtraction images, we train our DL model using noise-free standard-dose subtraction images as targets. As a result, our model predicts the contrast enhancement signal only; thereby enabling synthesization of images beyond the standard dose. Furthermore, we adapt the embedding idea of recent diffusion-based models to condition our model on physical parameters affecting the contrast enhancement behavior. We demonstrate the effectiveness of our approach on synthetic and real datasets using various scanners, field strengths, and contrast agents.

Published
2024

15. An Architecture for Unattended Containerized (Deep) Reinforcement Learning with Webots

Author

Haubold, Tobias and Linke, Petra

Subjects
Computer Science - Robotics, Computer Science - Artificial Intelligence, Computer Science - Machine Learning, D.2.11
Abstract

As data science applications gain adoption across industries, the tooling landscape matures to facilitate the life cycle of such applications and provide solutions to the challenges involved to boost the productivity of the people involved. Reinforcement learning with agents in a 3D world could still face challenges: the knowledge required to use a simulation software as well as the utilization of a standalone simulation software in unattended training pipelines. In this paper we review tools and approaches to train reinforcement learning agents for robots in 3D worlds with respect to the robot Robotino and argue that the separation of the simulation environment for creators of virtual worlds and the model development environment for data scientists is not a well covered topic. Often both are the same and data scientists require knowledge of the simulation software to work directly with their APIs. Moreover, sometimes creators of virtual worlds and data scientists even work on the same files. We want to contribute to that topic by describing an approach where data scientists don't require knowledge about the simulation software. Our approach uses the standalone simulation software Webots, the Robot Operating System to communicate with simulated robots as well as the simulation software itself and container technology to separate the simulation from the model development environment. We put emphasize on the APIs the data scientists work with and the use of a standalone simulation software in unattended training pipelines. We show the parts that are specific to the Robotino and the robot task to learn., Comment: Latex with llncs.cls, 17 pages, 5 figures

Published
2024

17. Albumin-muscle density score predicts overall survival in patients with hepatocellular cancer undergoing treatment with transarterial chemoembolization

Author

Surov, Alexey, Wienke, Andreas, Borggrefe, Jan, Auer, Timo Alexander, Gebauer, Bernhard, Mähringer-Kunz, Aline, Nensa, Felix, Haubold, Johannes, Schaarschmidt, Benedikt Michael, Hosch, René, Kleesiek, Jens, Diallo, Thierno D., Roehlen, Natascha, Bettinger, Dominik, Eisenblätter, Michel, Steinle, Verena, Mayer, Philipp, Zopfs, David, Pinto dos Santos, Daniel, Müller, Lukas, and Kloeckner, Roman

Published
2024
Full Text
View/download PDF

19. Low-dose high-resolution chest CT in adults with cystic fibrosis: intraindividual comparison between photon-counting and energy-integrating detector CT

Author

Frings, Marko, Welsner, Matthias, Mousa, Christin, Zensen, Sebastian, Salhöfer, Luca, Meetschen, Mathias, Beck, Nikolas, Bos, Denise, Westhölter, Dirk, Wienker, Johannes, Taube, Christian, Umutlu, Lale, Schaarschmidt, Benedikt M., Forsting, Michael, Haubold, Johannes, Sutharsan, Sivagurunathan, and Opitz, Marcel

Published
2024
Full Text
View/download PDF

21. Radiomics workflow definition & challenges - German priority program 2177 consensus statement on clinically applied radiomics

Author

Floca, Ralf, Bohn, Jonas, Haux, Christian, Wiestler, Benedikt, Zöllner, Frank G., Reinke, Annika, Weiß, Jakob, Nolden, Marco, Albert, Steffen, Persigehl, Thorsten, Norajitra, Tobias, Baeßler, Bettina, Dewey, Marc, Braren, Rickmer, Büchert, Martin, Fallenberg, Eva Maria, Galldiks, Norbert, Gerken, Annika, Götz, Michael, Hahn, Horst K., Haubold, Johannes, Haueise, Tobias, Große Hokamp, Nils, Ingrisch, Michael, Iuga, Andra-Iza, Janoschke, Marco, Jung, Matthias, Kiefer, Lena Sophie, Lohmann, Philipp, Machann, Jürgen, Moltz, Jan Hendrik, Nattenmüller, Johanna, Nonnenmacher, Tobias, Oerther, Benedict, Othman, Ahmed E., Peisen, Felix, Schick, Fritz, Umutlu, Lale, Wichtmann, Barbara D., Zhao, Wenzhao, Caspers, Svenja, Schlemmer, Heinz-Peter, Schlett, Christopher L., Maier-Hein, Klaus, and Bamberg, Fabian

Published
2024
Full Text
View/download PDF

25. Body composition impacts outcome of bronchoscopic lung volume reduction in patients with severe emphysema: a fully automated CT-based analysis

Author

Wienker, Johannes, Darwiche, Kaid, Rüsche, Nele, Büscher, Erik, Karpf-Wissel, Rüdiger, Winantea, Jane, Özkan, Filiz, Westhölter, Dirk, Taube, Christian, Kersting, David, Hautzel, Hubertus, Salhöfer, Luca, Hosch, René, Nensa, Felix, Forsting, Michael, Schaarschmidt, Benedikt M., Zensen, Sebastian, Theysohn, Jens, Umutlu, Lale, Haubold, Johannes, and Opitz, Marcel

Published
2024
Full Text
View/download PDF

27. High order biorthogonal functions in H(Curl)

Author

Haubold, Tim, Beuchler, Sven, and Schöberl, Joachim

Subjects
Mathematics - Numerical Analysis, 65N22, 65N30, 33C45
Abstract

From the literature, it is known that the choice of basis functions in hp-FEM heavily influences the computational cost in order to obtain an approximate solution. Depending on the choice of the reference element, suitable tensor product like basis functions of Jacobi polynomials with different weights lead to optimal properties due to condition number and sparsity. This paper presents biorthogonal basis functions to the primal basis functions mentioned above. The authors investigate hypercubes and simplices as reference elements, as well as the cases of $H^1$ and H(Curl). The functions can be expressed sums of tensor products of Jacobi polynomials with maximal two summands., Comment: 18 pages, 1 figure

Published
2023

30. Towards Unifying Anatomy Segmentation: Automated Generation of a Full-body CT Dataset via Knowledge Aggregation and Anatomical Guidelines

Author

Jaus, Alexander, Seibold, Constantin, Hermann, Kelsey, Walter, Alexandra, Giske, Kristina, Haubold, Johannes, Kleesiek, Jens, and Stiefelhagen, Rainer

Subjects
Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Computer Vision and Pattern Recognition
Abstract

In this study, we present a method for generating automated anatomy segmentation datasets using a sequential process that involves nnU-Net-based pseudo-labeling and anatomy-guided pseudo-label refinement. By combining various fragmented knowledge bases, we generate a dataset of whole-body CT scans with $142$ voxel-level labels for 533 volumes providing comprehensive anatomical coverage which experts have approved. Our proposed procedure does not rely on manual annotation during the label aggregation stage. We examine its plausibility and usefulness using three complementary checks: Human expert evaluation which approved the dataset, a Deep Learning usefulness benchmark on the BTCV dataset in which we achieve 85% dice score without using its training dataset, and medical validity checks. This evaluation procedure combines scalable automated checks with labor-intensive high-quality expert checks. Besides the dataset, we release our trained unified anatomical segmentation model capable of predicting $142$ anatomical structures on CT data., Comment: 18 pages, 8 figures, 2 tables

Published
2023

31. Why does my medical AI look at pictures of birds? Exploring the efficacy of transfer learning across domain boundaries

Author

Jonske, Frederic, Kim, Moon, Nasca, Enrico, Evers, Janis, Haubold, Johannes, Hosch, René, Nensa, Felix, Kamp, Michael, Seibold, Constantin, Egger, Jan, and Kleesiek, Jens

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

It is an open secret that ImageNet is treated as the panacea of pretraining. Particularly in medical machine learning, models not trained from scratch are often finetuned based on ImageNet-pretrained models. We posit that pretraining on data from the domain of the downstream task should almost always be preferred instead. We leverage RadNet-12M, a dataset containing more than 12 million computed tomography (CT) image slices, to explore the efficacy of self-supervised pretraining on medical and natural images. Our experiments cover intra- and cross-domain transfer scenarios, varying data scales, finetuning vs. linear evaluation, and feature space analysis. We observe that intra-domain transfer compares favorably to cross-domain transfer, achieving comparable or improved performance (0.44% - 2.07% performance increase using RadNet pretraining, depending on the experiment) and demonstrate the existence of a domain boundary-related generalization gap and domain-specific learned features., Comment: Code available from https://github.com/TIO-IKIM/Transfer-learning-across-domain-boundaries/

Published
2023

32. Liver volumetry improves evaluation of treatment response to hepatic artery infusion chemotherapy in uveal melanoma patients with liver metastases

Author

Zensen Sebastian, Steinberg-Vorhoff Hannah L, Milosevic Aleksandar, Richly Heike, Siveke Jens T, Opitz Marcel, Haubold Johannes, Li Yan, Forsting Michael, and Schaarschmidt Benedikt Michael

Subjects
uveal melanoma, computed tomography, liver volumetry, staging, Medical physics. Medical radiology. Nuclear medicine, R895-920
Abstract

In uveal melanoma patients, short-term evaluation of treatment response to hepatic artery infusion chemotherapy (HAIC) using the Response Evaluation Criteria in Solid Tumors (RECIST) 1.1 criteria is challenging due to the diffuse metastatic spread. As liver enlargement can frequently be observed, this study aims to compare RECIST 1.1 and liver volumetry (LV) for the evaluation of HAIC treatment response.

Published
2024
Full Text
View/download PDF

33. Logion: Machine Learning for Greek Philology

Author

Cowen-Breen, Charlie, Brooks, Creston, Haubold, Johannes, and Graziosi, Barbara

Subjects
Computer Science - Computation and Language, Computer Science - Machine Learning, I.2.7
Abstract

This paper presents machine-learning methods to address various problems in Greek philology. After training a BERT model on the largest premodern Greek dataset used for this purpose to date, we identify and correct previously undetected errors made by scribes in the process of textual transmission, in what is, to our knowledge, the first successful identification of such errors via machine learning. Additionally, we demonstrate the model's capacity to fill gaps caused by material deterioration of premodern manuscripts and compare the model's performance to that of a domain expert. We find that best performance is achieved when the domain expert is provided with model suggestions for inspiration. With such human-computer collaborations in mind, we explore the model's interpretability and find that certain attention heads appear to encode select grammatical features of premodern Greek., Comment: 14 pages, 4 figures

Published
2023

34. AI-based digital histopathology for perihilar cholangiocarcinoma: A step, not a jump

Author

Dieter P. Hoyer, Saskia Ting, Nina Rogacka, Sven Koitka, René Hosch, Nils Flaschel, Johannes Haubold, Eugen Malamutmann, Björn-Ole Stüben, Jürgen Treckmann, Felix Nensa, and Giulia Baldini

Subjects
Klatskin, Cholangiocarcinoma, Survival analysis, Segmentation, Digital pathology, Artificial intelligence, Computer applications to medicine. Medical informatics, R858-859.7, Pathology, RB1-214
Abstract

Introduction: Perihilar cholangiocarcinoma (PHCC) is a rare malignancy with limited survival prediction accuracy. Artificial intelligence (AI) and digital pathology advancements have shown promise in predicting outcomes in cancer. We aimed to improve prognosis prediction for PHCC by combining AI-based histopathological slide analysis with clinical factors. Methods: We retrospectively analyzed 317 surgically treated PHCC patients (January 2009–December 2018) at the University Hospital of Essen. Clinical data, surgical details, pathology, and outcomes were collected. Convolutional neural networks (CNN) analyzed whole-slide images. Survival models incorporated clinical and histological features. Results: Among 142 eligible patients, independent survival predictors were tumor grade (G), tumor size (T), and intraoperative transfusion requirement. The CNN-based model combining clinical and histopathological features demonstrates proof of concept in prognosis prediction, limited by histopathological complexity and feature extraction challenges. However, the CNN-based model generated heatmaps assisting pathologists in identifying areas of interest. Conclusion: AI-based digital pathology showed potential in PHCC prognosis prediction, though refinement is necessary for clinical relevance. Future research should focus on enhancing AI models and exploring novel approaches to improve PHCC patient prognosis prediction.

Published
2024
Full Text
View/download PDF

41. Fast Alignment

Author

Haubold, Bernhard, Börsch-Haubold, Angelika, Haubold, Bernhard, and Börsch-Haubold, Angelika

Published
2023
Full Text
View/download PDF

42. Exact Matching

Author

Haubold, Bernhard, Börsch-Haubold, Angelika, Haubold, Bernhard, and Börsch-Haubold, Angelika

Published
2023
Full Text
View/download PDF

45. Global, regional, and national burden of upper respiratory infections and otitis media, 1990–2021: a systematic analysis from the Global Burden of Disease Study 2021

Author

Sirota, Sarah Brooke, Doxey, Matthew C, Dominguez, Regina-Mae Villanueva, Bender, Rose Grace, Vongpradith, Avina, Albertson, Samuel B, Novotney, Amanda, Burkart, Katrin, Carter, Austin, Abdi, Parsa, Abdoun, Meriem, Abebe, Ayele Mamo, Abegaz, Kedir Hussein, Aboagye, Richard Gyan, Abolhassani, Hassan, Abreu, Lucas Guimarães, Abualruz, Hasan, Abu-Gharbieh, Eman, Aburuz, Salahdein, Adane, Mesafint Molla, Addo, Isaac Yeboah, Adekanmbi, Victor, Adnani, Qorinah Estiningtyas Sakilah, Adzigbli, Leticia Akua, Afzal, Muhammad Sohail, Afzal, Saira, Ahinkorah, Bright Opoku, Ahmad, Sajjad, Ahmed, Ayman, Ahmed, Haroon, Ahmed, Syed Anees, Akinosoglou, Karolina, Akkaif, Mohammed Ahmed, Al Awaidy, Salah, Alalalmeh, Samer O, Albashtawy, Mohammed, AlBataineh, Mohammad T, Al-Gheethi, Adel Ali Saeed, Alhalaiqa, Fadwa Naji, Alhassan, Robert Kaba, Ali, Abid, Ali, Liaqat, Ali, Mohammed Usman, Ali, Syed Shujait, Ali, Waad, Almazan, Joseph Uy, Alqahtani, Jaber S, Alrawashdeh, Ahmad, Al-Rifai, Rami H, Alshahrani, Najim Z, Altartoor, Khaled, Al-Tawfiq, Jaffar A, Alvis-Guzman, Nelson, Al-Worafi, Yaser Mohammed, Aly, Hany, Aly, Safwat, Alzoubi, Karem H, Al-Zyoud, Walid Adnan, Amhare, Abebe Feyissa, Amu, Hubert, Amusa, Ganiyu Adeniyi, Anil, Abhishek, Anvari, Saeid, Anyabolo, Ekenedilichukwu Emmanuel, Arabloo, Jalal, Arafat, Mosab, Areda, Demelash, Aregawi, Brhane Berhe, Aremu, Abdulfatai, Athari, Seyyed Shamsadin, Aujayeb, Avinash, Aynalem, Zewdu Bishaw, Azadnajafabad, Sina, Azzam, Ahmed Y, Badar, Muhammad, Bahrami Taghanaki, Pegah, Bahramian, Saeed, Baig, Atif Amin, Bajcetic, Milica, Balakrishnan, Senthilkumar, Banach, Maciej, Bardhan, Mainak, Barqawi, Hiba Jawdat, Bastan, Mohammad-Mahdi, Batra, Kavita, Batra, Ravi, Behnoush, Amir Hossein, Beiranvand, Maryam, Belete, Alemu Gedefie, Belete, Melaku Ashagrie, Beloukas, Apostolos, Beran, Azizullah, Bhardwaj, Pankaj, Bhargava, Ashish, Bhat, Ajay Nagesh, Bhuiyan, Mohiuddin Ahmed, Bitra, Veera R, Bodunrin, Aadam Olalekan, Bogale, Eyob Ketema, Boppana, Sri Harsha, Borhany, Hamed, Bouaoud, Souad, Brown, Colin Stewart, Buonsenso, Danilo, Bustanji, Yasser, Cámera, Luis Alberto, Castañeda-Orjuela, Carlos A, Cegolon, Luca, Cenderadewi, Muthia, Chakraborty, Sandip, Chattu, Vijay Kumar, Cheng, Esther T W, Chichagi, Fatemeh, Ching, Patrick R, Chopra, Hitesh, Choudhari, Sonali Gajanan, Christopher, Devasahayam J, Chu, Dinh-Toi, Chukwu, Isaac Sunday, Chung, Erin, Corlateanu, Alexandru, Cruz-Martins, Natalia, Dadana, Sriharsha, Dadras, Omid, Dahiru, Tukur, Dai, Xiaochen, Das, Jai K, Dash, Nihar Ranjan, Dashti, Mohsen, Dashtkoohi, Mohadese, De la Hoz, Fernando Pio, Debopadhaya, Shayom, Demessa, Berecha Hundessa, Demis, Asmamaw Bizuneh, Devanbu, Vinoth Gnana Chellaiyan, Devegowda, Devananda, Dhama, Kuldeep, Dhulipala, Vishal R, Diaz, Daniel, Diaz, Michael J, Do, Thanh Chi, Do, Thao Huynh Phuong, Dodangeh, Masoud, Dorostkar, Fariba, Dsouza, Ashel Chelsea, Dsouza, Haneil Larson, Duraisamy, Senbagam, Durojaiye, Oyewole Christopher, Dziedzic, Arkadiusz Marian, Ed-Dra, Abdelaziz, Ekholuenetale, Michael, Ekundayo, Temitope Cyrus, El Sayed, Iman, El-Dahiyat, Faris, Elhadi, Muhammed, Elshaer, Mohammed, Eslami, Majid, Eze, Ugochukwu Anthony, Fagbamigbe, Adeniyi Francis, Faramarzi, Ali, Fasina, Folorunso Oludayo, Ferreira, Nuno, Fischer, Florian, Fitriana, Ida, Flor, Luisa S, Gaihre, Santosh, Gajdács, Márió, Galehdar, Nasrin, Ganiyani, Mohammad Arfat, Gebregergis, Miglas Welay, Gebrehiwot, Mesfin, Gebremeskel, Teferi Gebru, Getahun, Genanew K, Getie, Molla, Ghadiri, Keyghobad, Ghasemzadeh, Afsaneh, Ghorbani, Mahsa, Goldust, Mohamad, Golechha, Mahaveer, Goleij, Pouya, Gorini, Giuseppe, Goyal, Anmol, Guan, Shi-Yang, Guarducci, Giovanni, Gudeta, Mesay Dechasa, Gupta, Renu, Gupta, Sapna, Gupta, Veer Bala, Gupta, Vivek Kumar, Hadei, Mostafa, Hadi, Najah R, Haj-Mirzaian, Arvin, Halwani, Rabih, Hamidi, Samer, Hammoud, Ahmad, Hanifi, Nasrin, Hanna, Fahad, Haq, Zaim Anan, Haque, Md Rabiul, Hasan, S M Mahmudul, Hasani, Hamidreza, Hasnain, Md Saquib, Hassankhani, Hadi, Haubold, Johannes, Hayat, Khezar, Hegazi, Omar E, Hezam, Kamal, Holla, Ramesh, Hoogar, Praveen, Horita, Nobuyuki, Hostiuc, Mihaela, Huynh, Hong-Han, Ibitoye, Segun Emmanuel, Ilesanmi, Olayinka Stephen, Ilic, Irena M, Ilic, Milena D, Imam, Mohammad Tarique, Isa, Mustafa Alhaji, Islam, Md Rabiul, Islam, Sheikh Mohammed Shariful, Ismail, Nahlah Elkudssiah, Iwagami, Masao, J, Vinothini, Jafarzadeh, Abdollah, Jaggi, Khushleen, Jairoun, Ammar Abdulrahman, Jakovljevic, Mihajlo, Jamshidi, Elham, Jayaram, Shubha, Jeswani, Bijay Mukesh, Jha, Ravi Prakash, Jose, Jobinse, Joseph, Nitin, Joshua, Charity Ehimwenma, Jozwiak, Jacek Jerzy, K, Vaishali, Kabir, Zubair, Kandel, Himal, Kanmodi, Kehinde Kazeem, Kant, Surya, Kantar, Rami S, Karaye, Ibraheem M, Karimi Behnagh, Arman, Kaur, Navjot, Khajuria, Himanshu, Khalaji, Amirmohammad, Khamesipour, Faham, Khan, Gulfaraz, Khan, M Nuruzzaman, Khan, Maseer, Khan, Mohammad Jobair, Kim, Min Seo, Kimokoti, Ruth W, Kochhar, Sonali, Korshunov, Vladimir Andreevich, Kosen, Soewarta, Krishan, Kewal, Krishna, Hare, Krishnamoorthy, Vijay, Kuate Defo, Barthelemy, Kuddus, Md Abdul, Kuddus, Mohammed, Kuitunen, Ilari, Kulimbet, Mukhtar, Kumar, Dewesh, Kurmi, Om P, Kutikuppala, L V Simhachalam, Lahariya, Chandrakant, Lal, Dharmesh Kumar, Lasrado, Savita, Latifinaibin, Kaveh, Le, Huu-Hoai, Le, Nhi Huu Hanh, Le, Thao Thi Thu, Le, Trang Diep Thanh, Lee, Seung Won, Lee, Wei-Chen, Li, Ming-Chieh, Li, Peng, Lim, Stephen S, Liu, Gang, Liu, Runben, Liu, Wei, Liu, Xiaofeng, Liu, Xuefeng, Lorenzovici, László, Luo, Lisha, Majeed, Azeem, Malakan Rad, Elaheh, Malhotra, Kashish, Malik, Iram, Manilal, Aseer, Mehta, Bharati, Mekene Meto, Tesfahun, Mekonnen, Mathewos M, Meles, Hadush Negash, Memish, Ziad Ahmed, Mendez-Lopez, Max Alberto, Meo, Sultan Ayoub, Merati, Mohsen, Mestrovic, Tomislav, Mettananda, Sachith, Minh, Le Huu Nhat, Mirrakhimov, Erkin M, Misra, Arup Kumar, Mohamed, Ahmed Ismail, Mohamed, Nouh Saad, Mohammed, Mesud, Mohammed, Mustapha, Mokdad, Ali H, Monasta, Lorenzo, Moni, Mohammad Ali, Moodi Ghalibaf, AmirAli, Moore, Catrin E, Morawska, Lidia, Motappa, Rohith, Mougin, Vincent, Mousavi, Parsa, Mustafa, Ghulam, Naghavi, Pirouz, Naik, Ganesh R, Nainu, Firzan, Najafi, Mohammad Sadeq, Najdaghi, Soroush, Najmuldeen, Hastyar Hama Rashid, Nargus, Shumaila, Narimani Davani, Delaram, Naser, Mohammad, Natto, Zuhair S, Nayak, Biswa Prakash, Nejadghaderi, Seyed Aria, Nguyen, Dang H, Nguyen, Hau Thi Hien, Nguyen, Van Thanh, Nikolouzakis, Taxiarchis Konstantinos, Noman, Efaq Ali, Nri-Ezedi, Chisom Adaobi, Nuñez-Samudio, Virginia, Nwatah, Vincent Ebuka, Odetokun, Ismail A, Okekunle, Akinkunmi Paul, Okonji, Osaretin Christabel, Okwute, Patrick Godwin, Olanipekun, Titilope O, Olufadewa, Isaac Iyinoluwa, Olusanya, Bolajoko Olubukunola, Omer, Goran Latif, Onyedibe, Kenneth Ikenna, Ordak, Michal, Orish, Verner N, Ortiz-Prado, Esteban, Otstavnov, Nikita, Ouyahia, Amel, P A, Mahesh Padukudru, Padubidri, Jagadish Rao, Pandey, Ashok, Pantazopoulos, Ioannis, Pardhan, Shahina, Parija, Pragyan Paramita, Parikh, Romil R, Park, Seoyeon, Parthasarathi, Ashwaghosha, Pasovic, Maja, Pathan, Aslam Ramjan, Patil, Shankargouda, Pawar, Shrikant, Peprah, Prince, Perianayagam, Arokiasamy, Perumal, Dhayaneethie, Petcu, Ionela-Roxana, Pham, Hoang Nhat, Pham, Hoang Tran, Philip, Anil K, Pigott, David M, Piracha, Zahra Zahid, Poddighe, Dimitri, Polibin, Roman V, Postma, Maarten J, Pourbabaki, Reza, Prates, Elton Junio Sady, Puvvula, Jagadeesh, Qazi, Asma Saleem, Qian, Gangzhen, Rafferty, Quinn, Rahim, Fakher, Rahimi, Mehran, Rahimi-Movaghar, Vafa, Rahman, Md Obaidur, Rahman, Mosiur, Rahman, Muhammad Aziz, Rahmanian, Mohammad, Rahmanian, Nazanin, Rahmanian, Vahid, Rahmati, Masoud, Rajput, Prashant, Ramadan, Mahmoud Mohammed, Ramasamy, Shakthi Kumaran, Ramesh, Pushkal Sinduvadi, Rao, Indu Ramachandra, Rao, Mithun, Rao, Sowmya J, Rashedi, Sina, Rashidi, Mohammad-Mahdi, Rathish, Devarajan, Ravikumar, Nakul, Rawaf, Salman, Redwan, Elrashdy Moustafa Mohamed, Reyes, Luis Felipe Felipe, Rezaei, Nazila, Rezaei, Nima, Rezahosseini, Omid, Rizvi, Syed Mohd Danish, Rodriguez, Jefferson Antonio Buendia, Ronfani, Luca, Roudashti, Shekoufeh, Roy, Priyanka, Ruela, Guilherme de Andrade, Saddik, Basema Ahmad, Saeb, Mohammad Reza, Saeed, Umar, Saeedi, Pooya, Safari, Mehdi, Saheb Sharif-Askari, Fatemeh, Saheb Sharif-Askari, Narjes, Sahebkar, Amirhossein, Sahu, Monalisha, Sakshaug, Joseph W, Salam, Nasir, Salami, Afeez Abolarinwa, Saleh, Mohamed A, Sallam, Malik, Samodra, Yoseph Leonardo, Sanjeev, Rama Krishna, Santric-Milicevic, Milena M, Saravanan, Aswini, Sartorius, Benn, Sathyanarayan, Anudeep, Saulam, Jennifer, Saxena, Sonia, Saya, Ganesh Kumar, Schaarschmidt, Benedikt Michael, Schumacher, Austin E, Sedighi, Mansour, Sendekie, Ashenafi Kibret, Senthilkumaran, Subramanian, Sethi, Yashendra, SeyedAlinaghi, SeyedAhmad, Shafie, Mahan, Shahid, Samiah, Shaikh, Masood Ali, Sham, Sunder, Shamshirgaran, Mohammad Ali, Shanawaz, Mohd, Shannawaz, Mohammed, Sharifan, Amin, Sharifi-Rad, Javad, Shastry, Rajesh P, Sheikh, Aziz, Shigematsu, Mika, Shiri, Rahman, Shittu, Aminu, Shiue, Ivy, Shorofi, Seyed Afshin, Siddig, Emmanuel Edwar, Simpson, Colin R, Singh, Jasvinder A, Singh, Paramdeep, Singh, Surjit, Sinto, Robert, Solanki, Ranjan, Soliman, Sameh S M, Suleman, Muhammad, Suliankatchi Abdulkader, Rizwan, Swain, Chandan Kumar, Szarpak, Lukasz, Tabatabaei, Seyyed Mohammad, Tabish, Mohammad, Taha, Zanan Mohammed-Ameen, Taiba, Jabeen, Talaat, Iman M, Tamuzi, Jacques Lukenze, Taye, Birhan Tsegaw, Tefera, Yibekal Manaye, Temsah, Mohamad-Hani, Terefa, Dufera Rikitu, Thakur, Ramna, Thapar, Rekha, Thirunavukkarasu, Sathish, Tichopad, Ales, Ticoalu, Jansje Henny Vera, Tovani-Palone, Marcos Roberto, Tran, Nghia Minh, Tran, Ngoc Ha, Tran Minh Duc, Nguyen, Tsegay, Guesh Mebrahtom, Tumurkhuu, Munkhtuya, Udoakang, Aniefiok John, Upadhyay, Era, Vahabi, Seyed Mohammad, Vaithinathan, Asokan Govindaraj, Valizadeh, Rohollah, Vasankari, Tommi Juhani, Vinayak, Manish, Waqas, Muhammad, Weldetinsaa, Haftom Legese, Wickramasinghe, Nuwan Darshana, Yadollahpour, Ali, Yaghoubi, Sajad, Yezli, Saber, Yin, Dehui, Yon, Dong Keon, Yonemoto, Naohiro, Yu, Yong, Zakham, Fathiah, Zandieh, Ghazal G Z, Zare, Iman, Zarimeidani, Fatemeh, Zastrozhin, Michael, Zhai, Chunxia, Zhang, Haijun, Zhang, Zhi-Jiang, Zhao, Yang, Zhou, Juexiao, Zia, Hafsa, Zielińska, Magdalena, Zoladl, Mohammad, Zyoud, Samer H, Aravkin, Aleksandr Y, Kassebaum, Nicholas J, Naghavi, Mohsen, Vos, Theo, Hay, Simon I, Murray, Christopher J L, and Kyu, Hmwe Hmwe

Published
2025
Full Text
View/download PDF

46. k-strip: A novel segmentation algorithm in k-space for the application of skull stripping

Author

Rempe, Moritz, Mentzel, Florian, Pomykala, Kelsey L., Haubold, Johannes, Nensa, Felix, Kröninger, Kevin, Egger, Jan, and Kleesiek, Jens

Subjects
Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Computer Vision and Pattern Recognition, Computer Science - Machine Learning
Abstract

Objectives: Present a novel deep learning-based skull stripping algorithm for magnetic resonance imaging (MRI) that works directly in the information rich k-space. Materials and Methods: Using two datasets from different institutions with a total of 36,900 MRI slices, we trained a deep learning-based model to work directly with the complex raw k-space data. Skull stripping performed by HD-BET (Brain Extraction Tool) in the image domain were used as the ground truth. Results: Both datasets were very similar to the ground truth (DICE scores of 92\%-98\% and Hausdorff distances of under 5.5 mm). Results on slices above the eye-region reach DICE scores of up to 99\%, while the accuracy drops in regions around the eyes and below, with partially blurred output. The output of k-strip often smoothed edges at the demarcation to the skull. Binary masks are created with an appropriate threshold. Conclusion: With this proof-of-concept study, we were able to show the feasibility of working in the k-space frequency domain, preserving phase information, with consistent results. Future research should be dedicated to discovering additional ways the k-space can be used for innovative image analysis and further workflows., Comment: 11 pages, 6 figures, 2 tables

Published
2022

47. Global, regional, and national burden of stroke and its risk factors, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021

Author

Feigin, Valery L, Abate, Melsew Dagne, Abate, Yohannes Habtegiorgis, Abd ElHafeez, Samar, Abd-Allah, Foad, Abdelalim, Ahmed, Abdelkader, Atef, Abdelmasseh, Michael, Abd-Elsalam, Sherief, Abdi, Parsa, Abdollahi, Arash, Abdoun, Meriem, Abd-Rabu, Rami, Abdulah, Deldar Morad, Abdullahi, Auwal, Abebe, Mesfin, Abeldaño Zuñiga, Roberto Ariel, Abhilash, E S, Abiodun, Olugbenga Olusola, Abiodun, Olumide, Abo Kasem, Rahim, Aboagye, Richard Gyan, Abouzid, Mohamed, Abreu, Lucas Guimarães, Abrha, Woldu Aberhe, Abtahi, Dariush, Abu Rumeileh, Samir, Abualhasan, Ahmed, Abualruz, Hasan, Abu-Gharbieh, Eman, Abukhadijah, Hana J, Abu-Rmeileh, Niveen ME, Aburuz, Salahdein, Abu-Zaid, Ahmed, Acuna, Juan Manuel, Adane, Denberu Eshetie, Adane, Mesafint Molla, Addo, Isaac Yeboah, Adedoyin, Rufus Adesoji, Adegboye, Oyelola A, Adekanmbi, Victor, Adhikari, Kishor, Adnani, Qorinah Estiningtyas Sakilah, Adra, Saryia, Adzigbli, Leticia Akua, Afify, Abdelrahman Yousry, Afolabi, Aanuoluwapo Adeyimika, Afrashteh, Fatemeh, Afzal, Muhammad Sohail, Afzal, Saira, Aghamiri, Shahin, Agyemang-Duah, Williams, Ahinkorah, Bright Opoku, Ahmad, Aqeel, Ahmad, Muayyad M, Ahmad, Sajjad, Ahmad, Shahzaib, Ahmad, Tauseef, Ahmadzade, Amir Mahmoud, Ahmed, Ali, Ahmed, Ayman, Ahmed, Haroon, Ahmed, Syed Anees, Ajami, Marjan, Aji, Budi, Akara, Essona Matatom, Akinyemi, Rufus Olusola, Akkaif, Mohammed Ahmed, Akrami, Ashley E, Al Awaidy, Salah, Al Hamad, Hanadi, Al Hasan, Syed Mahfuz, Al Qadire, Mohammad, Al Ta'ani, Omar, Al-Ajlouni, Yazan, Alalalmeh, Samer O, Alalwan, Tariq A, Al-Aly, Ziyad, Al-amer, Rasmieh Mustafa, Aldhaleei, Wafa A, Aldossary, Mohammed S, Alemohammad, Seyedeh Yasaman, Al-Fatly, Bassam, Al-Gheethi, Adel Ali Saeed, Alhalaiqa, Fadwa Naji, Alharrasi, Maryam, Ali, Abid, Ali, Mohammed Usman, Ali, Rafat, Ali, Syed Shujait, Ali, Waad, Al-Ibraheem, Akram, Alif, Sheikh Mohammad, Aljunid, Syed Mohamed, Almahmeed, Wael, Al-Marwani, Sabah, Alomari, Mahmoud A, Alonso, Jordi, Alqahtani, Jaber S, Al-Raddadi, Rajaa M Mohammad, Alrawashdeh, Ahmad, Alsabri, Mohammed A, Alshahrani, Najim Z, Altaany, Zaid, Altaf, Awais, Al-Tammemi, Alaa B, Altwalbeh, Diala, Alvis-Guzman, Nelson, Alwafi, Hassan, Al-Wardat, Mohammad, Al-Worafi, Yaser Mohammed, Aly, Hany, Aly, Safwat, Alyahya, Mohammad Sharif Ibrahim, Alzoubi, Karem H, Al-Zyoud, Walid Adnan, Amani, Reza, Amegbor, Prince M, Amera, Tewodros Getnet, Amin, Tarek Tawfik, Amindarolzarbi, Alireza, Amiri, Sohrab, Amu, Hubert, Amugsi, Dickson A, Amusa, Ganiyu Adeniyi, Ancuceanu, Robert, Anderlini, Deanna, Angappan, Dhanalakshmi, Anil, Abhishek, Ansari, Mohammed Tahir Tahir, Ansari-Moghaddam, Alireza, Ansong, Rockson, Anvari, Saeid, Anwar, Saleha, Anwar, Sumadi Lukman, Anyabolo, Ekenedilichukwu Emmanuel, Anyasodor, Anayochukwu Edward, Apostol, Geminn Louis Carace, Appiah, Francis, Aqeel, Muhammad, Arabloo, Jalal, Arabzadeh Bahri, Razman, Arafat, Mosab, Aravkin, Aleksandr Y, Ardekani, Ali, Areda, Demelash, Aregawi, Brhane Berhe, Aregu, Getnet Mesfin, Aremu, Olatunde, Arifin, Hidayat, Ärnlöv, Johan, Artamonov, Anton A, Arulappan, Judie, Aryal, Umesh Raj, Aryan, Zahra, Asbeutah, Akram M, Asemahagn, Mulusew A, Asemu, Mulu Tiruneh, Asghari-Jafarabadi, Mohammad, Ashemo, Mubarek Yesse, Ashraf, Tahira, Aslani, Armin, Asmerom, Haftu Asmerom, Astell-Burt, Thomas, Athari, Seyyed Shamsadin, Atorkey, Prince, Atout, Maha Moh'd Wahbi, Atreya, Alok, Aujayeb, Avinash, Ausloos, Marcel, Avan, Abolfazl, Awad, Hamzeh, Awotidebe, Adedapo Wasiu, Ayana, Lemessa Assefa A, Aychiluhm, Setognal Birara, Aynalem, Amdehiwot A, Aynalem, Zewdu Bishaw, Azadnajafabad, Sina, Azami, Hiva, Aziz, Shahkaar, Azzam, Ahmed Y, Babu, Abraham Samuel, Babu, Giridhara Rathnaiah, Badar, Muhammad, Badiye, Ashish D, Bahrami Taghanaki, Pegah, Bahramian, Saeed, Bai, Ruhai, Baig, Atif Amin, Bakkannavar, Shankar M, Bako, Abdulaziz T, Baltatu, Ovidiu Constantin, Bam, Kiran, Banach, Maciej, Banakar, Morteza, Bandyopadhyay, Soham, Banik, Palash Chandra, Bansal, Kannu, Bao, Yanping, Barboza, Miguel A, Bardhan, Mainak, Barengo, Noel C, Barker-Collo, Suzanne Lyn, Bärnighausen, Till Winfried, Barqawi, Hiba Jawdat, Barrow, Amadou, Barua, Lingkan, Bashiri, Azadeh, Bashiru, Hameed Akande, Basiru, Afisu, Bastan, Mohammad-Mahdi, Basu, Sanjay, Basu, Saurav, Batra, Kavita, Begde, Ahmet, Behnam, Babak, Behnoush, Amir Hossein, Belayneh, Melesse B Y, Belingheri, Michael, Bello, Umar Muhammad, Bennett, Derrick A, Bensenor, Isabela M, Berhe, Fentaw Tadese, Bermudez, Amiel Nazer C, Beyene, Habtamu B B, Beyene, Kebede A, Bhagat, Devidas S, Bhagavathula, Akshaya Srikanth, Bhala, Neeraj, Bhalla, Ashish, Bhardwaj, Nikha, Bhardwaj, Pankaj, Bhaskar, Sonu, Bhat, Ajay Nagesh, Bhat, Vivek, Bhatti, Gurjit Kaur, Bhatti, Jasvinder Singh Singh, Bhuiyan, Mohiuddin Ahmed, Bhusal, Subarna, Bikbov, Boris, Bilgin, Cem, Biondi, Antonio, Bishaw, Keralem Anteneh, Biswas, Atanu, Biswas, Bijit, Bodhare, Trupti, Bogale, Eyob Ketema, Boloor, Archith, Bonakdar Hashemi, Milad, Bonny, Aime, Bora Basara, Berrak, Borhany, Hamed, Bosoka, Samuel Adolf, Bouaoud, Souad, Bouyahya, Abdelhakim, Boyko, Edward J, Bozic, Marija M, Braithwaite, Dejana, Breitner, Susanne, Brenner, Hermann, Britton, Gabrielle, Brunoni, Andre R, Bryazka, Dana, Bugiardini, Raffaele, Bulto, Lemma N, Burkart, Katrin, Bustanji, Yasser, Butt, Zahid A, Caetano dos Santos, Florentino Luciano, Cámera, Luis Alberto, Campos, Luciana Aparecida, Campos-Nonato, Ismael R, Cao, Fan, Capodici, Angelo, Cárdenas, Rosario, Carr, Sinclair, Carreras, Giulia, Carvalho, Andre F, Carvalho, Felix, Castaldelli-Maia, Joao Mauricio, Castañeda-Orjuela, Carlos A, Castelpietra, Giulio, Catapano, Alberico L, Cattaruzza, Maria Sofia, Cegolon, Luca, Cembranel, Francieli, Cenko, Edina, Cerin, Ester, Chadwick, Joshua, Chakraborty, Chiranjib, Chakraborty, Sandip, Chan, Jeffrey Shi Kai, Chandika, Rama Mohan, Chandrasekar, Eeshwar K, Chanie, Gashaw Sisay, Chattu, Vijay Kumar, Chaudhary, Anis Ahmad, Chaurasia, Akhilanand, Chen, Haowei, Chen, Mingling, Chen, Simiao, Chi, Gerald, Chichagi, Fatemeh, Chimoriya, Ritesh, Ching, Patrick R, Chitheer, Abdulaal, Cho, So Mi Jemma, Choi, Dong-Woo, Chong, Bryan, Chong, Chean Lin, Chopra, Hitesh, Choudhari, Sonali Gajanan, Choudhary, Rahul, Chu, Dinh-Toi, Chukwu, Isaac Sunday, Chung, Sheng-Chia, Cindi, Zinhle, Cioffi, Iolanda, Cogen, Rebecca M, Columbus, Alyssa, Costanzo, Simona, Couto, Rosa A S, Criqui, Michael H, Cruz-Martins, Natalia, Cuadra-Hernández, Silvia Magali, da Silva, Alanna Gomes, Dadana, Sriharsha, Dadras, Omid, Dai, Xiaochen, Dalal, Koustuv, Dalli, Lachlan L, Damiani, Giovanni, D'Amico, Emanuele, Dandona, Lalit, Dandona, Rakhi, Darwish, Amira Hamed, Das, Saswati, Dashti, Mohsen, Dashtkoohi, Mohadese, Dashtkoohi, Mohammad, Dastmardi, Maedeh, Davletov, Kairat, De la Cruz-Góngora, Vanessa, DeAngelo, Sean, Debele, Aklilu Tamire, Debopadhaya, Shayom, Delgado-Enciso, Ivan, Demessa, Berecha Hundessa, Demetriades, Andreas K, Denova-Gutiérrez, Edgar, Dervišević, Emina, Desai, Hardik Dineshbhai, Desale, Aragaw Tesfaw, Desta, Fikreab, Devanbu, Vinoth Gnana Chellaiyan, Devegowda, Devananda, Dewan, Syed Masudur Rahman, Dhane, Amol S, Dhimal, Meghnath, Dhulipala, Vishal R, Diaz, Michael J, Diress, Mengistie, Dodangeh, Milad, Doegah, Phidelia Theresa, Dohare, Sushil, Doheim, Mohamed Fahmy, Dokova, Klara Georgieva, Dongarwar, Deepa, D'Oria, Mario, Doshi, Ojas Prakashbhai, Doshi, Rajkumar Prakashbhai, Douiri, Abdel, Dowou, Robert Kokou, Dsouza, Ashel Chelsea, Dsouza, Haneil Larson, Dsouza, Viola Savy, Duncan, Bruce B, Duraes, Andre Rodrigues, Dziedzic, Arkadiusz Marian, Ekholuenetale, Michael, El Bayoumy, Ibrahim Farahat, El Sayed Zaki, Maysaa, Elbarazi, Iffat, El-Dahiyat, Faris, Elgendy, Islam Y, Elhadi, Muhammed, El-Huneidi, Waseem, Elmonem, Mohamed A, Elmoselhi, Adel B, Eltaha, Chadi, Emeto, Theophilus I, Esezobor, Christopher Imokhuede, Esfandiari, Negin, Esmaeili, Zahra, Esposito, Francesco, Etoom, Mohammad, Fabin, Natalia, Fadhil, Ibtihal, Fagbamigbe, Adeniyi Francis, Fagbule, Omotayo Francis, Faghani, Shahriar, Fahim, Ayesha, Fakhradiyev, Ildar Ravisovich, Falzone, Luca, Fareed, Mohammad, Fares, Jawad, Farinha, Carla Sofia e Sá, Faris, MoezAlIslam Ezzat Mahmoud, Faris, Pawan Sirwan, Farjoud Kouhanjani, Mohsen, Faro, Andre, Farrokhpour, Hossein, Fasanmi, Abidemi Omolara, Fauk, Nelsensius Klau, Fazeli, Patrick, Fazylov, Timur, Feizkhah, Alireza, Fekadu, Ginenus, Feng, Xiaoqi, Fereshtehnejad, Seyed-Mohammad, Ferrara, Pietro, Ferreira, Nuno, Fetensa, Getahun, Feyisa, Bikila Regassa, Fischer, Florian, Flor, Luisa S, Foley, Kristen Marie, Fonseca, Ana Catarina, Foroumadi, Roham, Foroutan, Behzad, Fortuna, Daniela, Foschi, Matteo, Franklin, Richard Charles, Fridayani, Ni Kadek Yuni, G, Sridevi, Gaal, Peter Andras, Gaidhane, Abhay Motiramji, Gaipov, Abduzhappar, Galali, Yaseen, Gallus, Silvano, Gandhi, Aravind P, Ganesan, Balasankar, Gasevic, Danijela, Gautam, Prem, Gautam, Rupesh K, Gebregergis, Miglas Welay, Gebrehiwot, Mesfin, Gebrekidan, Kebre Gebrekirstos, Getacher, Lemma, Getahun, Genanew K, Getie, Molla, Ghadimi, Delaram J, Ghadirian, Fataneh, Ghaffari Jolfayi, Amir, Ghafourifard, Mansour, Ghasemi, Mohammad-Reza, Ghasemzadeh, Afsaneh, Ghazy, Ramy Mohamed, Gholami, Ehsan, Gholami, Zainab, Ghozy, Sherief, Giannoni Luza, Stefano, Gilani, Jaleed Ahmed, Gill, Tiffany K, Gillum, Richard F, Gindaba, Ebisa Zerihun, Gnedovskaya, Elena V, Goel, Amit, Goldust, Mohamad, Golechha, Mahaveer, Goleij, Pouya, Golinelli, Davide, Gona, Philimon N, Gorini, Giuseppe, Goulart, Alessandra C, Goulart, Barbara Niegia Garcia, Gouravani, Mahdi, Grivna, Michal, Grosso, Giuseppe, Grover, Ashna, Guan, Shi-Yang, Guarducci, Giovanni, Guha, Avirup, Guicciardi, Stefano, Gulati, Snigdha, Gunawardane, Damitha Asanga, Guo, Cui, Guo, Zhifeng, Gupta, Anish Kumar, Gupta, Bhawna, Gupta, Mohak, Gupta, Rahul, Gupta, Rajat Das, Gupta, Rajeev, Gupta, Sapna, Habibzadeh, Farrokh, Hadi, Najah R, Haghani Dogahe, Mohammad, Haghi-Aminjan, Hamed, Haghmorad, Dariush, Haj-Mirzaian, Arvin, Halimi, Aram, Hamdy, Nadia M, Hamidi, Samer, Hamilton, Erin B, Hanif, Asif, Hanifi, Nasrin, Hankey, Graeme J, Hannan, Md Abdul, Haq, Zaim Anan, Hargono, Arief, Harlianto, Netanja I, Haro, Josep Maria, Has, Eka Mishbahatul Marah, Hasaballah, Ahmed I, Hasan, Ikramul, Hasnain, Md Saquib, Hassan, Ikrama, Hassan Zadeh Tabatabaei, Mahgol Sadat, Haubold, Johannes, Havmoeller, Rasmus J, Hay, Simon I, Hbid, Youssef, Hebert, Jeffrey J, Hegazi, Omar E, Heidari, Mohammad, Hemmati, Mehdi, Heyi, Demisu Zenbaba, Hezam, Kamal, Hiraike, Yuta, Hoan, Nguyen Quoc, Holla, Ramesh, Horita, Nobuyuki, Hossain, Md Mahbub, Hosseinzadeh, Hassan, Hosseinzadeh, Mehdi, Hosseinzadeh Adli, Ahmad, Hostiuc, Mihaela, Hostiuc, Sorin, Hu, Ben, Hu, Chengxi, Huang, Junjie, Humayun, Ayesha, Hussain, Salman, Huy, Le Duc, Huynh, Hong-Han, Hwang, Bing-Fang, Ibitoye, Segun Emmanuel, Ikeda, Nayu, Ikiroma, Adalia, Ilesanmi, Olayinka Stephen, Ilic, Irena M, Ilic, Milena D, Imam, Mohammad Tarique, Immurana, Mustapha, Inbaraj, Leeberk Raja, Iqhrammullah, Muhammad, Iradukunda, Arnaud, Irham, Lalu Muhammad, Islam, Md Rabiul, Ismail, Faisal, Ismail, Nahlah Elkudssiah, Iso, Hiroyasu, Isola, Gaetano, Itumalla, Ramaiah, Iwagami, Masao, Iwu, Chidozie Declan CD, J, Vinothini, Jaafari, Jalil, Jacob, Louis, Jafarzadeh, Abdollah, Jahrami, Haitham, Jain, Akhil, Jain, Nityanand, Jairoun, Ammar Abdulrahman, Jaiswal, Abhishek, Jakovljevic, Mihajlo, Jalilzadeh Yengejeh, Reza, Janakiraman, Balamurugan, Jatau, Abubakar Ibrahim, Jayapal, Sathish Kumar, Jayaram, Shubha, Jee, Sun Ha, Jeganathan, Jayakumar, Jegnie, Mihretu, Jema, Alelign Tasew, Jeswani, Bijay Mukesh, Jeyakumar, Angeline, Jha, Anil K, Jha, Ravi Prakash, Ji, Zixiang, Jiang, Heng, Jin, Shuai, Jin, Yingzhao, Jokar, Mohammad, Jonas, Jost B, Joo, Tamas, Jose, Jobinse, Joseph, Nitin, Joshua, Charity Ehimwenma, Joukar, Farahnaz, Jozwiak, Jacek Jerzy, Jürisson, Mikk, Kabir, Ali, Kabir, Md Awal, Kabir, Zubair, Kadashetti, Vidya, Kalani, Rizwan, Kalra, Sanjay, Kamal, Vineet Kumar, Kamireddy, Arun, Kan, Haidong, Kanaan, Mona, Kandel, Himal, Kanmodi, Kehinde Kazeem, Kantar, Rami S, Kapoor, Neeti, Karakasis, Paschalis, Karaye, Ibraheem M, Karch, André, Karimi, Hanie, Karimi, Salah Eddin, Karimi, Yeganeh, Karimi Behnagh, Arman, Karki, Prabin, Kasraei, Hengameh, Kauppila, Joonas H, Kaur, Harkiran, Kaydi, Neda, Kayode, Gbenga A, Kazemi, Foad, Kazemian, Sina, Kesse-Guyot, Emmanuelle, Khader, Yousef Saleh, Khafaie, Morteza Abdullatif, Khaing, Inn Kynn, Khajuria, Himanshu, Khalaji, Amirmohammad, Khalid, Nauman, Khalil, Anees Ahmed, Khan, Asaduzzaman, Khan, Fayaz, Khan, M Nuruzzaman, Khan, Maseer, Khan, Mohammad Jobair, Khan, Moien AB, Khan, Yusra H, Khanmohammadi, Shaghayegh, Khatab, Khaled, Khatatbeh, Haitham, Khatatbeh, Moawiah Mohammad, Khateri, Sorour, Khatib, Mahalaqua Nazli, Khayamzadeh, Maryam, Khayat Kashani, Hamid Reza, Khidri, Feriha Fatima, Khokhar, Manoj, Khosla, Atulya Aman, Khosravi, Majid, Khubchandani, Jagdish, Kian, Saeid, Kim, Kwanghyun, Kim, Min Seo, Kim, Yun Jin, Kimokoti, Ruth W, Kisa, Adnan, Kisa, Sezer, Kolahi, Ali-Asghar, Koly, Kamrun Nahar, Kompani, Farzad, Kondlahalli, Shivakumar KM Marulasiddaiah, Korja, Miikka, Korshunov, Vladimir Andreevich, Korzh, Oleksii, Kosen, Soewarta, Kostev, Karel, Kothari, Nikhil, Kotnis, Ashwin Laxmikant, Koulmane Laxminarayana, Sindhura Lakshmi, Krishan, Kewal, Krishna, Varun, Krishnamoorthy, Vijay, Krishnan, Bindu, Kruja, Jera, Kuate Defo, Barthelemy, Kucuk Bicer, Burcu, Kuddus, Md Abdul, Kuddus, Mohammed, Kugbey, Nuworza, Kulimbet, Mukhtar, Kulkarni, Vishnutheertha, Kumar, Akshay, Kumar, Ashish, Kumar, Dewesh, Kumar, G Anil, Kumar, Nithin, Kumar, Rakesh, Kumaran D, Senthil, Kundu, Amartya, Kundu, Satyajit, Kunutsor, Setor K, Kurmi, Om P, Kusuma, Dian, Kutikuppala, L V Simhachalam, Kuttikkattu, Ambily, Kytö, Ville, La Vecchia, Carlo, Lacey, Ben, Lahariya, Chandrakant, Lal, Dharmesh Kumar, Lallukka, Tea, Lám, Judit, Landires, Iván, Larsson, Anders O, Lasrado, Savita, Latifinaibin, Kaveh, Lauriola, Paolo, Lavados, Pablo M, Lawal, Basira Kankia, Le, Long Khanh Dao, Le, Nhi Huu Hanh, Le, Thao Thi Thu, Le, Trang Diep Thanh, Lee, Paul H, Lee, Seung Won, Lee, Wei-Chen, Lee, Yo Han, Li, Ming-Chieh, Li, Wei, Li, Xiaopan, Li, Yichong, Lim, Lee-Ling, Lim, Stephen S, Lin, John C, Lindholm, Daniel, Linn, Shai, Liu, Gang, Liu, Runben, Liu, Shuke, Liu, Xiaofeng, Liu, Xuefeng, Llanaj, Erand, Lo, Chun-Han, Lo, Warren David, Lohner, Valerie, López-Gil, José Francisco, Lorenzovici, László, Lorkowski, Stefan, Lotufo, Paulo A, Lucchetti, Giancarlo, Luo, Lisha, Lusk, Jay B, Ma, Zheng Feei, Machoy, Monika, Madadizadeh, Farzan, Maddison, Ralph, Mahmoudi, Elham, Mahmoudvand, Golnaz, Makram, Omar M, Malakan Rad, Elaheh, Malhotra, Kashish, Malik, Ahmad Azam, Malik, Iram, Mallhi, Tauqeer Hussain, Malta, Deborah Carvalho, Mamun, Abdullah A, Manla, Yosef, Mansouri, Mohammad Hadi, Mansouri, Pejman, Mansouri, Vahid, Mansournia, Mohammad Ali, Mantovani, Lorenzo Giovanni, Manu, Emmanuel, Marateb, Hamid Reza, Marjani, Abdoljalal, Martini, Daniela, Martini, Santi, Martorell, Miquel, Maryam, Sharmeen, Marzo, Roy Rillera, Masrie, Awoke, Mathangasinghe, Yasith, Maulik, Pallab K, Mayeli, Mahsa, Mazidi, Mohsen, McKee, Martin, McPhail, Steven M, Mechili, Enkeleint A, Mehmood, Asim, Mehrabani-Zeinabad, Kamran, Mekene Meto, Tesfahun, Meles, Hadush Negash, Mendoza, Walter, Menezes, Ritesh G, Mensah, George A, Meo, Sultan Ayoub, Meretoja, Atte, Meretoja, Tuomo J, Mestrovic, Tomislav, Mettananda, Chamila Dinushi Kukulege, Miazgowski, Tomasz, Michalek, Irmina Maria, Micheletti Gomide Nogueira de Sá, Ana Carolina, Minervini, Giuseppe, Minh, Le Huu Nhat, Mini, GK, Mirghafourvand, Mojgan, Mirica, Andreea, Mirrakhimov, Erkin M, Mirza-Aghazadeh-Attari, Mohammad, Mishra, Manish, Misra, Sanjeev, Mithra, Prasanna, Mohamed, Ahmed Ismail, Mohamed, Jama, Mohamed, Nouh Saad, Mohammad, Ameen Mosa, Mohammadi, Esmaeil, Mohammadi, Saeed, Mohammadi, Soheil, Mohammadian-Hafshejani, Abdollah, Mohammadzadeh, Ibrahim, Mohammed, Hussen, Mohammed, Mustapha, Mohammed, Salahuddin, Mohammed, Shafiu, Mokdad, Ali H, Molavi Vardanjani, Hossein, Molokhia, Mariam, Momani, Shaher, Monasta, Lorenzo, Moni, Mohammad Ali, Montazeri, Fateme, Moodi Ghalibaf, AmirAli, Moosazadeh, Mahmood, Moradi, Maryam, Moradi, Yousef, Moraga, Paula, Morawska, Lidia, Moreira, Rafael Silveira, Morrison, Shane Douglas, Mosaddeghi Heris, Reza, Mossialos, Elias, Mousavi, Parsa, Msherghi, Ahmed, Mubarik, Sumaira, Muccioli, Lorenzo, Mulita, Admir, Muniyandi, Malaisamy, Munjal, Kavita, Murillo-Zamora, Efren, Muthu, Sathish, Myung, Woojae, Nabavi, Amin, Nabhan, Ashraf Fawzy, Nafei, Ayoub, Nagarajan, Ahamarshan Jayaraman, Naghavi, Pirouz, Naik, Ganesh R, Naik, Gurudatta, Naimzada, Mukhammad David, Nair, Sanjeev, Nair, Tapas Sadasivan, Najdaghi, Soroush, Najmuldeen, Hastyar Hama Rashid, Nakhostin Ansari, Noureddin, Nangia, Vinay, Narasimha Swamy, Sreenivas, Nargus, Shumaila, Narimani Davani, Delaram, Nascimento, Bruno Ramos, Nascimento, Gustavo G, Nasrollahizadeh, Ali, Nasrollahizadeh, Amir, Natto, Zuhair S, Nauman, Javaid, Navaratna, Samidi Nirasha Kumari, Nayak, Biswa Prakash, Nayak, Vinod C, Nazri-Panjaki, Athare, Ndejjo, Rawlance, Negoi, Ionut, Negoi, Ruxandra Irina, Nejadghaderi, Seyed Aria, Nejjari, Chakib, Nematollahi, Mohammad Hadi, Nepal, Samata, Newton, Charles Richard James, Nguyen, Dang H, Nguyen, Duc Hoang, Nguyen, Hau Thi Hien, Nguyen, Hien Quang, Nguyen, Nhien Ngoc Y, Nguyen, Phat Tuan, Nguyen, Van Thanh, Niazi, Robina Khan, Nigatu, Yeshambel T, Nikravangolsefid, Nasrin, Ningrum, Dina Nur Anggraini, Nnaji, Chukwudi A, Nnyanzi, Lawrence Achilles, Nomura, Shuhei, Noor, Syed Toukir Ahmed, Norrving, Bo, Nawsherwan, Nawsherwan, Noubiap, Jean Jacques, Nri-Ezedi, Chisom Adaobi, Ntaios, George, Ntsekhe, Mpiko, Nugen, Fred, Nurchis, Mario Cesare, Nurrika, Dieta, Nzoputam, Chimezie Igwegbe, Nzoputam, Ogochukwu Janet, Oancea, Bogdan, Obamiro, Kehinde O, Odetokun, Ismail A, O'Donnell, Martin James, Oguta, James Odhiambo, Oh, In-Hwan, Ojo-Akosile, Tolulope R, Okati-Aliabad, Hassan, Okeke, Sylvester Reuben, Okekunle, Akinkunmi Paul, Okidi, Lawrence, Okonji, Osaretin Christabel, Oladnabi, Morteza, Olagunju, Andrew T, Olaiya, Muideen Tunbosun, Olalusi, Oladotun Victor, Olasehinde, Tosin Abiola, Olasupo, Omotola O, Olatubi, Matthew Idowu, Oliveira, Arão Belitardo, Oliveira, Gláucia Maria Moraes, Olorukooba, Abdulhakeem Abayomi, Olufadewa, Isaac Iyinoluwa, Oluwafemi, Yinka Doris Doris, Oluwatunase, Gideon Olamilekan, Omar, Hany A, Omar Bali, Ahmed, O'Neil, Adrienne E, Ong, Sok King, Onwujekwe, Obinna E, Opejin, Abdulahi Opejin, Ordak, Michal, Ornello, Raffaele, Ortega-Altamirano, Doris V, Ortiz, Alberto, Ortiz-Prado, Esteban, Osman, Wael M S, Osuagwu, Uchechukwu Levi, Otstavnov, Stanislav S, Owolabi, Mayowa O, Oyeyemi, Ifeoluwa Temitayo, Ozair, Ahmad, P A, Mahesh Padukudru, Pacheco-Barrios, Kevin, Padron-Monedero, Alicia, Padubidri, Jagadish Rao, Palicz, Tamás, Palma-Alvarez, Raul Felipe, Pan, Feng, Panda-Jonas, Songhomitra, Pande Katare, Deepshikha, Pandey, Anamika, Pandey, Ashok, Pandi-Perumal, Seithikurippu R, Panos, Leonidas D, Pantazopoulos, Ioannis, Papadopoulou, Paraskevi, Pardhan, Shahina, Parija, Pragyan Paramita, Parikh, Romil R, Parsons, Nicholas, Passera, Roberto, Patoulias, Dimitrios, Paudel, Uttam, Pawar, Shrikant, Peden, Amy E, Pedersini, Paolo, Peprah, Prince, Pereira, Maria Odete, Peres, Mario F P, Perianayagam, Arokiasamy, Perico, Norberto, Perna, Simone, Pestell, Richard G, Petcu, Ionela-Roxana, Petermann-Rocha, Fanny Emily, Pham, Hoang Nhat, Pham, Hoang Tran, Phillips, Michael R, Pilgrim, Thomas, Piradov, Michael A, Pirouzpanah, Saeed, Plotnikov, Evgenii, Poddighe, Dimitri, Poluru, Ramesh, Popovic, Djordje S, Postma, Maarten J, Pourshams, Akram, Pourtaheri, Naeimeh, Pradhan, Jalandhar, Pradhan, Pranil Man Singh, Prakash, V, Prasad, Manya, Prates, Elton Junio Sady, Pribadi, Dimas Ria Angga, Puvvula, Jagadeesh, Qattea, Ibrahim, Qian, Gangzhen, Qiao, Yanan, Raggi, Alberto, Raghav, Pankaja Raghav, Raghuveer, Pracheth, Rahim, Fakher, Rahim, Md Jillur, Rahimifard, Mahban, Rahimi-Movaghar, Vafa, Rahman, Md Mosfequr, Rahman, Mohammad Hifz Ur, Rahman, Mosiur, Rahman, Muhammad Aziz, Rahmani, Amir Masoud, Rahmanian, Mohammad, Rahmanian, Nazanin, Rahmanian, Vahid, Rahmati, Rahem, Rahmawaty, Setyaningrum, Raj, Gerard Marshall, Rajaa, Sathish, Rajendran, Vinoth, Rajpoot, Pushp Lata, Rajput, Prashant, Ram, Pradhum, Ramadan, Mahmoud Mohammed, Ramadan, Majed, Ramanarayanan, Venkitachalam, Ramasamy, Shakthi Kumaran, Ramazanu, Sheena, Rana, Juwel, Rana, Kritika, Rana, Rishabh Kumar, Ranabhat, Chhabi Lal, Rancic, Nemanja, Rane, Amey, Ranta, Annemarei, Rao, Mithun, Rao, Sowmya J, Rashedi, Sina, Rashidi, Mohammad-Mahdi, Rasouli-Saravani, Ashkan, Rathish, Devarajan, Rauniyar, Santosh Kumar, Rawaf, Salman, Razo, Christian, Reddy, Murali Mohan Rama Krishna, Redwan, Elrashdy Moustafa Mohamed, Rehman, Inayat Ur, Remuzzi, Giuseppe, Rezaei, Nazila, Rezaeian, Mohsen, Rezazadeh, Hossein, Rhee, Taeho Gregory, Riaz, Mavra A, Ribeiro, Antonio Luiz P, Rodrigues, Monica, Rodrigues da Silva, Thales Philipe R, Rodriguez, Jefferson Antonio Buendia, Roever, Leonardo, Romadlon, Debby Syahru, Ross, Allen Guy, Rout, Himanshu Sekhar, Roy, Bedanta, Roy, Priyanka, Roy, Simanta, Ruela, Guilherme de Andrade, Russo, Michele, Rwegerera, Godfrey M, S N, Chandan, Saad, Aly M A, Saber, Korosh, Saber-Ayad, Maha Mohamed, Sabet, Cameron John, Sabour, Siamak, Sacco, Simona, Saddik, Basema Ahmad, Sadeghi, Erfan, Saeb, Mohammad Reza, Saeed, Umar, Safi, Sher Zaman Zaman, Sagar, Rajesh, Saghafi, Alireza, Sagoe, Dominic, Saheb Sharif-Askari, Fatemeh, Sahebkar, Amirhossein, Sahoo, Pragyan Monalisa, Sahoo, Soumya Swaroop, Sajid, Mirza Rizwan, Salami, Afeez Abolarinwa, Salaroli, Luciane B, Saleh, Mohamed A, Salem, Mohammed Z Y, Salum, Giovanni A, Samadzadeh, Sara, Samargandy, Saad, Samodra, Yoseph Leonardo, Samuel, Vijaya Paul, Samy, Abdallah M, Sanabria, Juan, Santos, Itamar S, Santric-Milicevic, Milena M, Sarasmita, Made Ary, Saravanan, Aswini, Sarikhani, Yaser, Sarode, Gargi Sachin, Sarode, Sachin C, Satpathy, Maheswar, Sattouf, Zafer, Saya, Ganesh Kumar, Sayeed, Md Abu, Sayyah, Mehdi, Scarmeas, Nikolaos, Schaarschmidt, Benedikt Michael, Schlaich, Markus P, Schmidt, Maria Inês, Schneider, Ione Jayce Ceola, Schuermans, Art, Schumacher, Austin E, Schutte, Aletta Elisabeth, Schwebel, David C, Selvaraj, Siddharthan, Sen, Parijat, Senapati, Sabyasachi, Senthilkumaran, Subramanian, Sergindo, Mihretu Tagesse, Sethi, Yashendra, Seylani, Allen, Shafie, Mahan, Shah, Pritik A, Shahabi, Saeed, Shahbandi, Ataollah, Shahid, Samiah, Shahsavari, Hamid R, Shahwan, Moyad Jamal, Shaikh, Masood Ali, Shalash, Ali S, Shamim, Muhammad Aaqib, Shams-Beyranvand, Mehran, Shamsi, Anas, Shamsutdinova, Alfiya, Shanawaz, Mohd, Shannawaz, Mohammed, Sharath, Medha, Sharifan, Amin, Sharifi, Azam, Sharifi-Rad, Javad, Sharma, Anupam, Sharma, Manoj, Sharma, Sourabh, Sharma, Ujjawal, Sharma, Vishal, Sheikhi, Rahim Ali, Shetty, Adithi, Shetty, Mahabalesh, Shetty, Premalatha K, Shiferaw, Desalegn, Shigematsu, Mika, Shimels, Tariku, Shin, Min-Jeong, Shiri, Rahman, Shittu, Aminu, Shitu, Abdul-karim Olayinka, Shiue, Ivy, Shorofi, Seyed Afshin, Shrestha, Sunil, Shuval, Kerem, Si, Yafei, Siddig, Emmanuel Edwar, Sikdar, Mithun, Silva, João Pedro, Silva, Luís Manuel Lopes Rodrigues, Singh, Abhinav, Singh, Baljinder, Singh, Garima, Singh, Harmanjit, Singh, Jasvinder A, Singh, Kuldeep, Singh, Narinder Pal, Singh, Paramdeep, Singh, Puneetpal, Sipilä, Jussi O T, Sivakumar, Shravan, Skryabin, Valentin Yurievich, Skryabina, Anna Aleksandrovna, Sleet, David A, Sobia, Farrukh, Socea, Bogdan, Sohag, Abdullah Al Mamun, Solanki, Ranjan, Solanki, Shipra, Solomon, Yerukneh, Song, Yi, Soraneh, Soroush, Sorensen, Reed J D, Sotoudeh, Houman, Soyiri, Ireneous N, Spartalis, Michael, Sreeramareddy, Chandrashekhar T, Srinivasamurthy, Suresh Kumar, Stachteas, Panagiotis, Stafford, Lauryn K, Stark, Benjamin A, Starodubova, Antonina V, Subedi, Narayan, Subramaniyan, Vetriselvan, Suleman, Muhammad, Sultana, Abida, Sun, Zhong, Sundström, Johan, Suresh, Vinay, Susanty, Sri, Swain, Chandan Kumar, Szarpak, Lukasz, T Y, Sree Sudha, Tabaee Damavandi, Payam, Tabarés-Seisdedos, Rafael, Tabatabaei, Seyyed Mohammad, Tabatabai, Shima, Tabche, Celine, Tabish, Mohammad, Tadakamadla, Jyothi, Tadakamadla, Santosh Kumar, Taheri, Amirmasoud, Taiba, Jabeen, Talaat, Iman M, Talukder, Ashis, Tampa, Mircea, Tamuzi, Jacques Lukenze, Tan, Ker-Kan, Tang, Haosu, Tanwar, Manoj, Tarigan, Ingan Ukur, Tarkang, Elvis Enowbeyang, Tat, Nathan Y, Tavangar, Seyed Mohammad, Tehrani-Banihashemi, Arash, Teimoori, Mojtaba, Temsah, Mohamad-Hani, Temsah, Reem Mohamad Hani, Teramoto, Masayuki, Tesfamariam, Wegen Beyene, Tesfaye Gta, Edosa Geta, Thakur, Ramna, Thangaraju, Pugazhenthan, Thapa, Rajshree, Thapar, Rekha, Thayakaran, Rasiah, Thirunavukkarasu, Sathish, Thomas, Joe, Thomas, Nikhil Kenny Kenny, Thrift, Amanda G, Tian, Jing, Tichopad, Ales, Ticoalu, Jansje Henny Vera, Tiruneh, Chalachew, Tiwari, Krishna, Tiyuri, Amir, Tonelli, Marcello, Topor-Madry, Roman, Tovani-Palone, Marcos Roberto, Trabelsi, Khaled, Tran, Ngoc Ha, Tran, Thang Huu, Tran Minh Duc, Nguyen, Trico, Domenico, Tromans, Samuel Joseph, Truyen, Thien Tan Tri Tai, Tsai, Daniel Hsiang-Te, Tsatsakis, Aristidis, Tsermpini, Evangelia Eirini, Turuse, Ermias A A, Tyrovolas, Stefanos, Udoakang, Aniefiok John, Udoh, Arit, Ullah, Atta, Ullah, Sana, Umair, Muhammad, Umar, Muhammad, Unim, Brigid, Unnikrishnan, Bhaskaran, Urso, Daniele, Usman, Jibrin Sammani, Vacante, Marco, Vahabi, Seyed Mohammad, Vahdati, Sanaz, Vaithinathan, Asokan Govindaraj, Vakili, Omid, Valizadeh, Rohollah, Van den Eynde, Jef, Varga, Orsolya, Varthya, Shoban Babu, Vasankari, Tommi Juhani, Vellingiri, Balachandar, Venketasubramanian, Narayanaswamy, Verma, Madhur, Veroux, Massimiliano, Verras, Georgios-Ioannis, Vervoort, Dominique, Villafañe, Jorge Hugo, Villani, Simona, Vinayak, Manish, Viskadourou, Maria, Volovat, Simona Ruxandra, Volovici, Victor, Wafa, Hatem A, Waheed, Yasir, Wahood, Waseem, Wang, Cong, Wang, Fang, Wang, Shu, Wang, Song, Wang, Yanzhong, Wang, Yuan-Pang, Wanjau, Mary Njeri, Waqas, Muhammad, Wassie, Emebet Gashaw, Wassie, Gizachew Tadesse, Wei, Zihan, Weintraub, Robert G, Weldetinsaa, Haftom Legese, Wickramasinghe, Dakshitha Praneeth, Wickramasinghe, Nuwan Darshana, Wijeratne, Tissa, Willeit, Peter, Wolfe, Charles D A, Wong, Yen Jun, Wongsin, Utoomporn, Wu, Chenkai, Wu, Felicia, Wu, YaJuan, Wu, Zenghong, Xiao, Hong, Xu, Suowen, Xu, Xiaoyue, Yamagishi, Kazumasa, Yang, Danting, Yano, Yuichiro, Yarahmadi, Amir, Yaribeygi, Habib, Yasufuku, Yuichi, Yatsuya, Hiroshi, Yazdanpanah, Fereshteh, Yazdanpanah, Mohammad Hosein, Ye, Pengpeng, Yesodharan, Renjulal, Yezli, Saber, Yi, Siyan, Yi, Xinglin, Yin, Dehui, Yon, Dong Keon, Yonemoto, Naohiro, Yu, Chuanhua, Yu, Elaine A, Yun, Ke, Yusuf, Hadiza, Zadey, Siddhesh, Zafari, Nima, Zaman, Burhan Abdullah, Zaman, Sojib Bin, Zanghì, Aurora, Zare, Iman, Zarimeidani, Fatemeh, Zarrintan, Armin, Zastrozhin, Michael, Zemedikun, Dawit, Zeng, Youjie, Zhang, Beijian, Zhang, Haijun, Zhang, Liqun, Zhang, Yunquan, Zhang, Zhiqiang, Zhao, Hanqing, Zhong, Claire Chenwen, Zhou, Shang Cheng, Zhu, Bin, Zhu, Lei, Zhumagaliuly, Abzal, Ziafati, Makan, Zielińska, Magdalena, Zikarg, Yossef Teshome, Zoghi, Ghazal, Zyoud, Sa'ed H, Zyoud, Samer H, Johnson, Catherine O, Roth, Gregory A, Nair, Balakrishnan Sukumaran, Rautalin, Ilari, Bhati, Anjali, Bisignano, Catherine, Vos, Theo, and Murray, Christopher J L

Published
2024
Full Text
View/download PDF

48. Trends and levels of the global, regional, and national burden of appendicitis between 1990 and 2021: findings from the Global Burden of Disease Study 2021

Author

Han, Hannah, Letourneau, Ian D, Abate, Yohannes Habtegiorgis, Abdelmasseh, Michael, Abu-Gharbieh, Eman, Adane, Tigist Demssew, Ahinkorah, Bright Opoku, Ahmad, Aqeel, Ahmadi, Ali, Ahmed, Ayman, Alhalaiqa, Fadwa Naji, Al-Sabah, Salman Khalifah, Al-Worafi, Yaser Mohammed, Amu, Hubert, Andrei, Catalina Liliana, Anoushiravani, Amir, Arabloo, Jalal, Aravkin, Aleksandr Y, Ashraf, Tahira, Azadnajafabad, Sina, Baghcheghi, Nayereh, Bagherieh, Sara, Bantie, Berihun Bantie, Bardhan, Mainak, Basile, Guido, Bayleyegn, Nebiyou Simegnew, Behnoush, Amir Hossein, Bekele, Alehegn, Bhojaraja, Vijayalakshmi S, Bijani, Ali, Biondi, Antonio, Burkart, Katrin, Chu, Dinh-Toi, Chukwu, Isaac Sunday, Cruz-Martins, Natalia, Dai, Xiaochen, Demessa, Berecha Hundessa, Dhali, Arkadeep, Diaz, Daniel, Do, Thanh Chi, Dodangeh, Milad, Dongarwar, Deepa, Dsouza, Haneil Larson, Ekholuenetale, Michael, Ekundayo, Temitope Cyrus, El Sayed, Iman, Elhadi, Muhammed, Fagbamigbe, Adeniyi Francis, Fakhradiyev, Ildar Ravisovich, Ferrara, Pietro, Fetensa, Getahun, Fischer, Florian, Gebrehiwot, Mesfin, Getachew, Melaku, Golechha, Mahaveer, Gupta, Vivek Kumar, Habib, Joseph R, Hadi, Najah R, Haep, Nils, Haile, Teklehaimanot Gereziher, Hamilton, Erin B, Hasan, Ikramul, Hasani, Hamidreza, Hassanzadeh, Sara, Haubold, Johannes, Hay, Simon I, Hayat, Khezar, Ilesanmi, Olayinka Stephen, Inamdar, Sumant, Iwu, Chidozie C D, Iyasu, Assefa N, Jayarajah, Umesh, Jayaram, Shubha, Jokar, Mohammad, Jomehzadeh, Nabi, Joseph, Abel, Joseph, Nitin, Joshua, Charity Ehimwenma, Kabir, Ali, Kandel, Himal, Kauppila, Joonas H, Kemp Bohan, Phillip M., Khajuria, Himanshu, Khan, Maseer, Khatatbeh, Haitham, Kim, Min Seo, Kisa, Adnan, Kompani, Farzad, Koohestani, Hamid Reza, Kumar, Rakesh, Le, Thao Thi Thu, Lee, Munjae, Lee, Seung Won, Li, Ming-Chieh, Lim, Stephen S, Lo, Chun-Han, Lunevicius, Raimundas, Malhotra, Kashish, Maugeri, Andrea, Mediratta, Rishi P, Meretoja, Tuomo J, Mestrovic, Tomislav, Mirza-Aghazadeh-Attari, Mohammad, Mohamed, Nouh Saad, Mokdad, Ali H, Monasta, Lorenzo, Moni, Mohammad Ali, Moradi, Maryam, Mougin, Vincent, Mukoro, George Duke, Murillo-Zamora, Efren, Murray, Christopher J L, Naimzada, Mukhammad David, Najmuldeen, Hastyar Hama Rashid, Natto, Zuhair S, Negoi, Ionut, Nguyen, Hien Quang, Nikolouzakis, Taxiarchis Konstantinos, Olufadewa, Isaac Iyinoluwa, Padubidri, Jagadish Rao, Pandey, Ashok, Parikh, Romil R, Pham, Hoang Tran, Pollok, Richard Charles G, Rahimi, Mehran, Rahimi-Movaghar, Vafa, Rahman, Mosiur, Rahmani, Shayan, Rashidi, Mohammad-Mahdi, Rawaf, Salman, Rickard, Jennifer, Rouientan, Hamidreza, Roy, Simanta, Saddik, Basema Ahmad, Saeed, Umar, Saleh, Mohamed A, Salehi, Sana, Samy, Abdallah M, Sanabria, Juan, Sankararaman, Senthilkumar, Schumacher, Austin E, Senthilkumaran, Subramanian, Shah, Pritik A, Shool, Sina, Sibhat, Migbar Mekonnen, Sidamo, Negussie Boti, Singh, Jasvinder A, Socea, Bogdan, Solomon, Yonatan, Sreeram, Saraswathy, Tabatabaei, Seyyed Mohammad, Tan, Ker-Kan, Tavangar, Seyed Mohammad, Tefera, Yibekal Manaye, Thomas, Nikhil Kenny, Ticoalu, Jansje Henny Vera, Tsegay, Guesh Mebrahtom, Tsegaye, Dejen, Ullah, Sana, Usman, Abachebissa Nuru, Valizadeh, Rohollah, Veroux, Massimiliano, Verras, Georgios-Ioannis, Vos, Theo, Wang, Mei, Wang, Song, Wickramasinghe, Dakshitha Praneeth, Yahya, Galal, Zare, Iman, Zarrintan, Armin, Zhang, Zhi-Jiang, and Dirac, M Ashworth

Published
2024
Full Text
View/download PDF

49. Global, regional, and national incidence and mortality burden of non-COVID-19 lower respiratory infections and aetiologies, 1990–2021: a systematic analysis from the Global Burden of Disease Study 2021

Author

Bender, Rose Grace, Sirota, Sarah Brooke, Swetschinski, Lucien R, Dominguez, Regina-Mae Villanueva, Novotney, Amanda, Wool, Eve E, Ikuta, Kevin S, Vongpradith, Avina, Rogowski, Emma Lynn Best, Doxey, Matthew, Troeger, Christopher E, Albertson, Samuel B, Ma, Jianing, He, Jiawei, Maass, Kelsey Lynn, A.F.Simões, Eric, Abdoun, Meriem, Abdul Aziz, Jeza Muhamad, Abdulah, Deldar Morad, Abu Rumeileh, Samir, Abualruz, Hasan, Aburuz, Salahdein, Adepoju, Abiola Victor, Adha, Rishan, Adikusuma, Wirawan, Adra, Saryia, Afraz, Ali, Aghamiri, Shahin, Agodi, Antonella, Ahmadzade, Amir Mahmoud, Ahmed, Haroon, Ahmed, Ayman, Akinosoglou, Karolina, AL-Ahdal, Tareq Mohammed Ali, Al-amer, Rasmieh Mustafa, Albashtawy, Mohammed, AlBataineh, Mohammad T., Alemi, Hediyeh, Al-Gheethi, Adel Ali Saeed, Ali, Abid, Ali, Syed Shujait Shujait, Alqahtani, Jaber S, AlQudah, Mohammad, Al-Tawfiq, Jaffar A., Al-Worafi, Yaser Mohammed, Alzoubi, Karem H, Amani, Reza, Amegbor, Prince M, Ameyaw, Edward Kwabena, Amuasi, John H, Anil, Abhishek, Anyanwu, Philip Emeka, Arafat, Mosab, Areda, Damelash, Arefnezhad, Reza, Atalell, Kendalem Asmare, Ayele, Firayad, Azzam, Ahmed Y, Babamohamadi, Hassan, Babin, François-Xavier, Bahurupi, Yogesh, Baker, Stephen, Banik, Biswajit, Barchitta, Martina, Barqawi, Hiba Jawdat, Basharat, Zarrin, Baskaran, Pritish, Batra, Kavita, Batra, Ravi, Bayileyegn, Nebiyou Simegnew, Beloukas, Apostolos, Berkley, James A, Beyene, Kebede A, Bhargava, Ashish, Bhattacharjee, Priyadarshini, Bielicki, Julia A, Bilalaga, Mariah Malak, Bitra, Veera R, Brown, Colin Stewart, Burkart, Katrin, Bustanji, Yasser, Carr, Sinclair, Chahine, Yaacoub, Chattu, Vijay Kumar, Chichagi, Fatemeh, Chopra, Hitesh, Chukwu, Isaac Sunday, Chung, Eunice, Dadana, Sriharsha, Dai, Xiaochen, Dandona, Lalit, Dandona, Rakhi, Darban, Isaac, Dash, Nihar Ranjan, Dashti, Mohsen, Dashtkoohi, Mohadese, Dekker, Denise Myriam, Delgado-Enciso, Ivan, Devanbu, Vinoth Gnana Chellaiyan, Dhama, Kuldeep, Diao, Nancy, Do, Thao Huynh Phuong, Dokova, Klara Georgieva, Dolecek, Christiane, Dziedzic, Arkadiusz Marian, Eckmanns, Tim, Ed-Dra, Abdelaziz, Efendi, Ferry, Eftekharimehrabad, Aziz, Eyre, David William, Fahim, Ayesha, Feizkhah, Alireza, Felton, Timothy William, Ferreira, Nuno, Flor, Luisa S, Gaihre, Santosh, Gebregergis, Miglas W, Gebrehiwot, Mesfin, Geffers, Christine, Gerema, Urge, Ghaffari, Kazem, Goldust, Mohamad, Goleij, Pouya, Guan, Shi-Yang, Gudeta, Mesay Dechasa, Guo, Cui, Gupta, Veer Bala, Gupta, Ishita, Habibzadeh, Farrokh, Hadi, Najah R, Haeuser, Emily, Hailu, Wase Benti, Hajibeygi, Ramtin, Haj-Mirzaian, Arvin, Haller, Sebastian, Hamiduzzaman, Mohammad, Hanifi, Nasrin, Hansel, Jan, Hasnain, Md Saquib, Haubold, Johannes, Hoan, Nguyen Quoc, Huynh, Hong-Han, Iregbu, Kenneth Chukwuemeka, Islam, Md. Rabiul, Jafarzadeh, Abdollah, Jairoun, Ammar Abdulrahman, Jalili, Mahsa, Jomehzadeh, Nabi, Joshua, Charity Ehimwenma, Kabir, Md. Awal, Kamal, Zul, Kanmodi, Kehinde Kazeem, Kantar, Rami S., Karimi Behnagh, Arman, Kaur, Navjot, Kaur, Harkiran, Khamesipour, Faham, Khan, M Nuruzzaman, Khan suheb, Mahammed Ziauddin, Khanal, Vishnu, Khatab, Khaled, Khatib, Mahalaqua Nazli, Kim, Grace, Kim, Kwanghyun, Kitila, Aiggan Tamene Tamene, Komaki, Somayeh, Krishan, Kewal, Krumkamp, Ralf, Kuddus, Md Abdul, Kurniasari, Maria Dyah, Lahariya, Chandrakant, Latifinaibin, Kaveh, Le, Nhi Huu Hanh, Le, Thao Thi Thu, Le, Trang Diep Thanh, Lee, Seung Won, LEPAPE, Alain, Lerango, Temesgen L., Li, Ming-Chieh, Mahboobipour, Amir Ali, Malhotra, Kashish, Mallhi, Tauqeer Hussain, Manoharan, Anand, Martinez-Guerra, Bernardo Alfonso, Mathioudakis, Alexander G., Mattiello, Rita, May, Jürgen, McManigal, Barney, McPhail, Steven M, Mekene Meto, Tesfahun, Mendez-Lopez, Max Alberto Mendez, Meo, Sultan Ayoub, Merati, Mohsen, Mestrovic, Tomislav, Mhlanga, Laurette, Minh, Le Huu Nhat, Misganaw, Awoke, Mishra, Vinaytosh, Misra, Arup Kumar, Mohamed, Nouh Saad, Mohammadi, Esmaeil, Mohammed, Mesud, Mohammed, Mustapha, Mokdad, Ali H, Monasta, Lorenzo, Moore, Catrin E, Motappa, Rohith, Mougin, Vincent, Mousavi, Parsa, Mulita, Francesk, Mulu, Atsedemariam Andualem, Naghavi, Pirouz, Naik, Ganesh R, Nainu, Firzan, Nair, Tapas Sadasivan, Nargus, Shumaila, Negaresh, Mohammad, Nguyen, Hau Thi Hien, Nguyen, Dang H, Nguyen, Van Thanh, Nikolouzakis, Taxiarchis Konstantinos, Noman, Efaq Ali, Nri-Ezedi, Chisom Adaobi, Odetokun, Ismail A., Okwute, Patrick Godwin, Olana, Matifan Dereje, Olanipekun, Titilope O, Olasupo, Omotola O., Olivas-Martinez, Antonio, Ordak, Michal, Ortiz-Brizuela, Edgar, Ouyahia, Amel, Padubidri, Jagadish Rao, Pak, Anton, Pandey, Anamika, Pantazopoulos, Ioannis, Parija, Pragyan Paramita, Parikh, Romil R, Park, Seoyeon, Parthasarathi, Ashwaghosha, Pashaei, Ava, Peprah, Prince, Pham, Hoang Tran, Poddighe, Dimitri, Pollard, Andrew, Ponce-De-Leon, Alfredo, Prakash, Peralam Yegneswaran, Prates, Elton Junio Sady, Quan, Nguyen Khoi, Raee, Pourya, Rahim, Fakher, Rahman, Mosiur, Rahmati, Masoud, Ramasamy, Shakthi Kumaran, Ranjan, Shubham, Rao, Indu Ramachandra, Rashid, Ahmed Mustafa, Rattanavong, Sayaphet, Ravikumar, Nakul, Reddy, Murali Mohan Rama Krishna, Redwan, Elrashdy Moustafa Mohamed, Reiner, Robert C, Jr., Reyes, Luis Felipe, Roberts, Tamalee, Rodrigues, Mónica, Rosenthal, Victor Daniel, Roy, Priyanka, Runghien, Tilleye, Saeed, Umar, Saghazadeh, Amene, Saheb Sharif-Askari, Narjes, Saheb Sharif-Askari, Fatemeh, Sahoo, Soumya Swaroop, Sahu, Monalisha, Sakshaug, Joseph W, Salami, Afeez Abolarinwa, Saleh, Mohamed A., Salehi omran, Hossein, Sallam, Malik, Samadzadeh, Sara, Samodra, Yoseph Leonardo, Sanjeev, Rama Krishna, Sarasmita, Made Ary, Saravanan, Aswini, Sartorius, Benn, Saulam, Jennifer, Schumacher, Austin E, Seyedi, Seyed Arsalan, Shafie, Mahan, Shahid, Samiah, Sham, Sunder, Shamim, Muhammad Aaqib, Shamshirgaran, Mohammad Ali, Shastry, Rajesh P., Sherchan, Samendra P, Shiferaw, Desalegn, Shittu, Aminu, Siddig, Emmanuel Edwar, Sinto, Robert, Sood, Aayushi, Sorensen, Reed J D, Stergachis, Andy, Stoeva, Temenuga Zhekova, Swain, Chandan Kumar, Szarpak, Lukasz, Tamuzi, Jacques Lukenze, Temsah, Mohamad-Hani, Tessema, Melkamu B Tessema, Thangaraju, Pugazhenthan, Tran, Nghia Minh, Tran, Ngoc-Ha, Tumurkhuu, Munkhtuya, Ty, Sree Sudha, Udoakang, Aniefiok John, Ulhaq, Inam, Umar, Tungki Pratama, Umer, Abdurezak Adem, Vahabi, Seyed Mohammad, Vaithinathan, Asokan Govindaraj, Van den Eynde, Jef, Walson, Judd L, Waqas, Muhammad, Xing, Yuhan, Yadav, Mukesh Kumar, Yahya, Galal, Yon, Dong Keon, Zahedi Bialvaei, Abed, Zakham, Fathiah, Zeleke, Abyalew Mamuye, Zhai, Chunxia, Zhang, Zhaofeng, Zhang, Haijun, Zielińska, Magdalena, Zheng, Peng, Aravkin, Aleksandr Y, Vos, Theo, Hay, Simon I, Mosser, Jonathan F., Lim, Stephen S, Naghavi, Mohsen, Murray, Christopher J L, and Kyu, Hmwe Hmwe

Published
2024
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results