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4,702 results on '"Nguyen, Cuong"'

158. Global, regional, and national burden of rheumatoid arthritis, 1990–2020, and projections to 2050: a systematic analysis of the Global Burden of Disease Study 2021

Author

Black, Rachel J, Cross, Marita, Haile, Lydia M, Culbreth, Garland T, Steinmetz, Jaimie D, Hagins, Hailey, Kopec, Jacek A, Brooks, Peter M, Woolf, Anthony D, Ong, Kanyin Liane, Kopansky-Giles, Deborah R, Dreinhoefer, Karsten E, Betteridge, Neil, Aali, Amirali, Abbasifard, Mitra, Abbasi-Kangevari, Mohsen, Abdurehman, Ame Mehadi, Abedi, Aidin, Abidi, Hassan, Aboagye, Richard Gyan, Abolhassani, Hassan, Abu-Gharbieh, Eman, Abu-Zaid, Ahmed, Adamu, Kidist, Addo, Isaac Yeboah, Adesina, Miracle Ayomikun, Adnani, Qorinah Estiningtyas Sakilah, Afzal, Muhammad Sohail, Ahmed, Ayman, Aithala, Janardhana P, Akhlaghdoust, Meisam, Alemayehu, Astawus, Alvand, Saba, Alvis-Zakzuk, Nelson J, Amu, Hubert, Antony, Benny, Arabloo, Jalal, Aravkin, Aleksandr Y, Arulappan, Judie, Ashraf, Tahira, Athari, Seyyed Shamsadin, Azadnajafabad, Sina, Badawi, Alaa, Baghcheghi, Nayereh, Baig, Atif Amin, Balta, Asaminew Birhanu, Banach, Maciej, Banik, Palash Chandra, Barrow, Amadou, Bashiri, Azadeh, Bearne, Lindsay M, Bekele, Alehegn, Bensenor, Isabela M, Berhie, Alemshet Yirga, Bhagavathula, Akshaya Srikanth, Bhardwaj, Pankaj, Bhat, Ajay Nagesh, Bhojaraja, Vijayalakshmi S, Bitaraf, Saeid, Bodicha, Belay Boda Abule, Botelho, João Silva, Briggs, Andrew M, Buchbinder, Rachelle, Castañeda-Orjuela, Carlos A, Charalampous, Periklis, Chattu, Vijay Kumar, Coberly, Kaleb, Cruz-Martins, Natália, Dadras, Omid, Dai, Xiaochen, de Luca, Katie, Dessalegn, Fikadu Nugusu, Dessie, Gashaw, Dhimal, Meghnath, Digesa, Lankamo Ena, Diress, Mengistie, Doku, Paul Narh, Edinur, Hisham Atan, Ekholuenetale, Michael, Elhadi, Muhammed, El-Sherbiny, Yasser Mohamed, Etaee, Farshid, Ezzeddini, Rana, Faghani, Shahriar, Filip, Irina, Fischer, Florian, Fukumoto, Takeshi, Ganesan, Balasankar, Gebremichael, Mathewos Alemu, Gerema, Urge, Getachew, Motuma Erena, Ghashghaee, Ahmad, Gill, Tiffany K, Gupta, Bhawna, Gupta, Sapna, Gupta, Veer Bala, Gupta, Vivek Kumar, Halwani, Rabih, Hannan, Md Abdul, Haque, Shafiul, Harlianto, Netanja I, Harorani, Mehdi, Hasaballah, Ahmed I, Hassen, Mohammed Bheser, Hay, Simon I, Hayat, Khezar, Heidari, Golnaz, Hezam, Kamal, Hill, Catherine L, Hiraike, Yuta, Horita, Nobuyuki, Hoveidaei, Amir Human, Hsiao, Alexander Kevin, Hsieh, Evelyn, Hussain, Salman, Iavicoli, Ivo, Ilic, Irena M, Islam, Sheikh Mohammed Shariful, Ismail, Nahlah Elkudssiah, Iwagami, Masao, Jakovljevic, Mihajlo, Jani, Chinmay T, Jeganathan, Jayakumar, Joseph, Nitin, Kadashetti, Vidya, Kandel, Himal, Kanko, Tesfaye K, Karaye, Ibraheem M, Khajuria, Himanshu, Khan, Md Jobair, Khan, Moien AB, Khanali, Javad, Khatatbeh, Moawiah Mohammad, Khubchandani, Jagdish, Kim, Yun Jin, Kisa, Adnan, Kolahi, Ali-Asghar, Kompani, Farzad, Koohestani, Hamid Reza, Koyanagi, Ai, Krishan, Kewal, Kuddus, Mohammed, Kumar, Narinder, Kuttikkattu, Ambily, Larijani, Bagher, Lim, Stephen S, Lo, Justin, Machado, Vanessa Sintra, Mahajan, Preetam Bhalchandra, Majeed, Azeem, Malakan Rad, Elaheh, Malik, Ahmad Azam, Mansournia, Mohammad Ali, Mathews, Elezebeth, Mendes, José João, Mentis, Alexios-Fotios A, Mesregah, Mohamed Kamal, Mestrovic, Tomislav, Mirghaderi, Seyed Peyman, Mirrakhimov, Erkin M, Misganaw, Awoke, Mohamadkhani, Ashraf, Mohammed, Shafiu, Mokdad, Ali H, Moniruzzaman, Md, Montasir, Ahmed Al, Mulu, Getaneh Baye, Murillo-Zamora, Efrén, Murray, Christopher J L, Mustafa, Ghulam, Naghavi, Mohsen, Nair, Tapas Sadasivan, Naqvi, Atta Abbas, Natto, Zuhair S, Nayak, Biswa Prakash, Neupane, Subas, Nguyen, Cuong Tat, Niazi, Robina Khan, Nzoputam, Ogochukwu Janet, Oh, In-Hwan, Okati-Aliabad, Hassan, Okonji, Osaretin Christabel, Olufadewa, Isaac Iyinoluwa, Owolabi, Mayowa O, Pacheco-Barrios, Kevin, Padubidri, Jagadish Rao, Patel, Jay, Pathan, Aslam Ramjan, Pawar, Shrikant, Pedersini, Paolo, Perianayagam, Arokiasamy, Petcu, Ionela-Roxana, Qattea, Ibrahim, Radfar, Amir, Rafiei, Alireza, Rahman, Mohammad Hifz Ur, Rahmanian, Vahid, Rashedi, Vahid, Rashidi, Mohammad-Mahdi, Ratan, Zubair Ahmed, Rawaf, Salman, Razeghinia, Mohammad Sadegh, Redwan, Elrashdy Moustafa Mohamed, Renzaho, Andre M N, Rezaei, Nazila, Rezaei, Nima, Riad, Abanoub, Saad, Aly M A, Saddik, Basema, Saeed, Umar, Safary, Azam, Sahebazzamani, Maryam, Sahebkar, Amirhossein, Sahoo, Harihar, Salek Farrokhi, Amir, Saqib, Muhammad Arif Nadeem, Seylani, Allen, Shahabi, Saeed, Shaikh, Masood Ali, Shashamo, Bereket Beyene, Shetty, Adithi, Shetty, Jeevan K, Shigematsu, Mika, Shivarov, Velizar, Shobeiri, Parnian, Sibhat, Migbar Mekonnen, Sinaei, Ehsan, Singh, Ambrish, Singh, Jasvinder A, Singh, Paramdeep, Singh, Surjit, Siraj, Md Shahjahan, Skryabina, Anna Aleksandrovna, Slater, Helen, Smith, Amanda E, Solomon, Yonatan, Soltani-Zangbar, Mohammad Sadegh, Tabish, Mohammad, Tan, Ker-Kan, Tat, Nathan Y, Tehrani-Banihashemi, Arash, Tharwat, Samar, Tovani-Palone, Marcos Roberto, Tusa, Biruk Shalmeno, Valadan Tahbaz, Sahel, Valdez, Pascual R, Valizadeh, Rohollah, Vaziri, Siavash, Vollset, Stein Emil, Wu, Ai-Min, Yada, Dereje Y, Yehualashet, Sisay Shewasinad, Yonemoto, Naohiro, You, Yuyi, Yunusa, Ismaeel, Zangiabadian, Moein, Zare, Iman, Zarrintan, Armin, Zhang, Zhi-Jiang, Zhong, Chenwen, Zoladl, Mohammad, Vos, Theo, and March, Lyn M

Published
2023
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164. Using Partial Least Squares Structural Equation Modeling (PLS-SEM) to Assess the Effects of Entrepreneurial Education on Engineering Students' Entrepreneurial Intention

Author

Nguyen, Cuong Quoc, Nguyen, Anh Minh Tu, and Ba Le, Long

Abstract

This study aims to assess the impacts of three components from Theory of Planned Behaviour (TPB) on Entrepreneurial intention and analyze the mediating effects of these three components in the relationship between Entrepreneurial education and Entrepreneurial intention and in the relationship between Self-Efficacy and Entrepreneurial intention among engineering students. Data were collected via a structured questionnaire from engineering students at Industrial University of Ho Chi Minh City in Vietnam. The methodology employed Structural Equation Modelling Partial Least Squares (SEM-PLS) using SmartPLS (version 3.3.3) to assess the relationship among variables. Findings confirm the directly positive relationship between Attitude toward entrepreneurship, Perceived behaviour control and Subjective norms on engineering student's entrepreneurial intention. These three components of TPB mediate the relationship between Entrepreneurial education, Self-Efficay and engineering student's entrepreneurial intention. This study contributes toward the understanding of engineering student's entrepreneurial intention in Vietnam as an emerging market in Asia. The mediating effects of three components of TPB have been systematically investigated and the indirect roles of Entrepreneurial education and Self-Efficay have been validated by applying employed Structural Equation Modelling Partial Least Squares (SEM-PLS). Managerial implications are discussed to promote engineering student's entrepreneurial intention in Vietnam. Higher education leaders and policymakers can utilise the findings to construct the initiatives of entrepreneurship development and their implementation for engineering students.

Published
2022
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165. Internal Quality Assurance of Academic Programs: A Case Study in Vietnamese Higher Education

Author

Pham, Nhung Thi Tuyet, Nguyen, Cuong Huu, Pham, Huong Thi, and Ta, Hien Thi Thu

Abstract

Quality assurance of higher education has been carried out across the world in the past few decades. Therefore, setting up an effective internal quality assurance (IQA) system that fosters improvement in teaching and learning is of great significance. This research examined whether the IQA system was associated with the continuous improvement in the quality of academic programs in Vietnamese higher education institutions (HEIs). The study looked into the IQA system's infrastructure, its instruments and its efforts at program improvement across different types of HEIs including infrastructure, instruments, and continuous quality improvement efforts in academic programs that are implemented across the different types of institutions. A total of 715 responses from the survey and 46 interviews were analyzed for this paper. The findings demonstrated that the IQA of academic programs in Vietnamese higher education built the fundamental infrastructure and used indirect instruments but did not frequently use the IQA results to continuously improve educational quality. On the basis of these findings, recommendations are made to improve the IQA system of academic programs.

Published
2022
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166. Professional Development for Educational Policy-Makers: Relating to University Quality Assurance in Vietnam

Author

Nguyen, Cuong Huu

Abstract

Professional development plays an important part in enhancing knowledge, skills and expertise for teachers, institutional leaders and educators. While studies on professional development for teachers and school principals have been abundant, little information regarding professional development at the government level has been recorded. This study aims to investigate professional development for policy-makers in higher education quality assurance in Vietnam. A qualitative approach with focus group discussions and semi-structured interviews was employed. Data collection was conducted with officials working at the government department responsible for policy-making in quality assurance, staff members of accrediting agencies and institutional leaders, quality assurance staff members and lecturers of higher education institutions. Results show that policy-makers in Vietnamese higher education quality assurance are using traditional professional development strategies including workshops, short courses, study visits, postgraduate programs and learning by doing. It is suggested that alternative professional development approaches should be implemented in the Vietnamese national quality assurance organisation.

Published
2022

167. The Emergence of Private Higher Education in a Communist State: The Case of Vietnam

Author

Chau, Quang, Nguyen, Cuong Huu, and Nguyen, Tien-Trung

Abstract

Private higher education has become an integral part of higher education systems worldwide, including in Vietnam. However, the details explaining the private higher education sector emergence in Vietnam has hardly been addressed in the current literature. Most scholars that have mentioned this emergence in passing believed that Vietnamese private universities emerged to cater to the rising higher education demand that was unmet by its public counterparts. However, interviews with senior policy-makers, founders of private universities, and archived documents contradict this explanation: private universities emerged when demand for higher education declined sharply in Vietnam. Instead, our data point out that private higher education was part of the state-led political and economic reform. In general, we find that while the state set some uncompromised boundaries, it left ample space for private actors to take initiatives -- although a deeper analysis reveals that the state itself did not have a consensus view on where the censored line ends and where the free zone starts. Throughout this article, we argue that the notions of (public) demand vs. the state's plan for higher education should be contextualized with sufficient care in the context of a planned economy like Vietnam's.

Published
2022
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172. Insight into the role of phytoalexin naringenin and phytohormone abscisic acid in defense against phytopathogens Phytophthora infestans and Magnaporthe oryzae: In vitro and in silico approaches

Author

Nguyen-Ngoc, Hieu, Nguyen, Cuong Quoc, Vo, Kieu Anh Thi, Nguyen, Thu Trang Thi, Nghiem, Duc Trong, Ha, Nguyen Thi, Nguyen, Van Minh, Choi, Gyung Ja, Ardiansyah, Ahmad Ghozali, Nguyen, Cong Thanh, Vu, Hoang Dinh, Nguyen, Ngoc Tuan, De Tran, Quang, and Le Dang, Quang

Published
2023
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174. Deep Learning for The Inverse Design of Mid-infrared Graphene Plasmons

Author

Phan, Anh D., Nguyen, Cuong V., Linh, Pham T., Huynh, Tran V., Lam, Vu D., and Le, Anh-Tuan

Subjects
Physics - Applied Physics, Condensed Matter - Mesoscale and Nanoscale Physics, Condensed Matter - Materials Science, Physics - Optics
Abstract

We theoretically investigate the plasmonic properties of mid-infrared graphene-based metamaterials and apply deep learning of a neural network for the inverse design. These artificial structures have square periodic arrays of graphene plasmonic resonators deposited on dielectric thin films. Optical spectra vary significantly with changes in structural parameters. Our numerical results are in accordance with previous experiments. Then, the theoretical approach is employed to generate data for training and testing deep neural networks. By merging the pre-trained neural network with the inverse network, we implement calculations for inverse design of the graphene-based metameterials. We also discuss the limitation of the data-driven approach., Comment: 6 pages, 4 figures, accepted for publication on Crystals

Published
2019

175. Deep Learning for Deepfakes Creation and Detection: A Survey

Author

Nguyen, Thanh Thi, Nguyen, Quoc Viet Hung, Nguyen, Dung Tien, Nguyen, Duc Thanh, Huynh-The, Thien, Nahavandi, Saeid, Nguyen, Thanh Tam, Pham, Quoc-Viet, and Nguyen, Cuong M.

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

Deep learning has been successfully applied to solve various complex problems ranging from big data analytics to computer vision and human-level control. Deep learning advances however have also been employed to create software that can cause threats to privacy, democracy and national security. One of those deep learning-powered applications recently emerged is deepfake. Deepfake algorithms can create fake images and videos that humans cannot distinguish them from authentic ones. The proposal of technologies that can automatically detect and assess the integrity of digital visual media is therefore indispensable. This paper presents a survey of algorithms used to create deepfakes and, more importantly, methods proposed to detect deepfakes in the literature to date. We present extensive discussions on challenges, research trends and directions related to deepfake technologies. By reviewing the background of deepfakes and state-of-the-art deepfake detection methods, this study provides a comprehensive overview of deepfake techniques and facilitates the development of new and more robust methods to deal with the increasingly challenging deepfakes.

Published
2019
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176. Transferability and Hardness of Supervised Classification Tasks

Author

Tran, Anh T., Nguyen, Cuong V., and Hassner, Tal

Subjects
Computer Science - Machine Learning, Computer Science - Computer Vision and Pattern Recognition, Statistics - Machine Learning
Abstract

We propose a novel approach for estimating the difficulty and transferability of supervised classification tasks. Unlike previous work, our approach is solution agnostic and does not require or assume trained models. Instead, we estimate these values using an information theoretic approach: treating training labels as random variables and exploring their statistics. When transferring from a source to a target task, we consider the conditional entropy between two such variables (i.e., label assignments of the two tasks). We show analytically and empirically that this value is related to the loss of the transferred model. We further show how to use this value to estimate task hardness. We test our claims extensively on three large scale data sets -- CelebA (40 tasks), Animals with Attributes 2 (85 tasks), and Caltech-UCSD Birds 200 (312 tasks) -- together representing 437 classification tasks. We provide results showing that our hardness and transferability estimates are strongly correlated with empirical hardness and transferability. As a case study, we transfer a learned face recognition model to CelebA attribute classification tasks, showing state of the art accuracy for tasks estimated to be highly transferable., Comment: This paper is published at the International Conference on Computer Vision (ICCV) 2019

Published
2019

177. Toward Understanding Catastrophic Forgetting in Continual Learning

Author

Nguyen, Cuong V., Achille, Alessandro, Lam, Michael, Hassner, Tal, Mahadevan, Vijay, and Soatto, Stefano

Subjects
Computer Science - Machine Learning, Computer Science - Computer Vision and Pattern Recognition, Statistics - Machine Learning
Abstract

We study the relationship between catastrophic forgetting and properties of task sequences. In particular, given a sequence of tasks, we would like to understand which properties of this sequence influence the error rates of continual learning algorithms trained on the sequence. To this end, we propose a new procedure that makes use of recent developments in task space modeling as well as correlation analysis to specify and analyze the properties we are interested in. As an application, we apply our procedure to study two properties of a task sequence: (1) total complexity and (2) sequential heterogeneity. We show that error rates are strongly and positively correlated to a task sequence's total complexity for some state-of-the-art algorithms. We also show that, surprisingly, the error rates have no or even negative correlations in some cases to sequential heterogeneity. Our findings suggest directions for improving continual learning benchmarks and methods.

Published
2019

178. Uncertainty in Model-Agnostic Meta-Learning using Variational Inference

Author

Nguyen, Cuong, Do, Thanh-Toan, and Carneiro, Gustavo

Subjects
Computer Science - Machine Learning, Statistics - Machine Learning
Abstract

We introduce a new, rigorously-formulated Bayesian meta-learning algorithm that learns a probability distribution of model parameter prior for few-shot learning. The proposed algorithm employs a gradient-based variational inference to infer the posterior of model parameters to a new task. Our algorithm can be applied to any model architecture and can be implemented in various machine learning paradigms, including regression and classification. We show that the models trained with our proposed meta-learning algorithm are well calibrated and accurate, with state-of-the-art calibration and classification results on two few-shot classification benchmarks (Omniglot and Mini-ImageNet), and competitive results in a multi-modal task-distribution regression., Comment: Revise Experiments by adding regression quantile calibration and re-running classification calibration under the same setting

Published
2019

179. Unsupervised Task Design to Meta-Train Medical Image Classifiers

Author

Maicas, Gabriel, Nguyen, Cuong, Motlagh, Farbod, Nascimento, Jacinto C., and Carneiro, Gustavo

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

Meta-training has been empirically demonstrated to be the most effective pre-training method for few-shot learning of medical image classifiers (i.e., classifiers modeled with small training sets). However, the effectiveness of meta-training relies on the availability of a reasonable number of hand-designed classification tasks, which are costly to obtain, and consequently rarely available. In this paper, we propose a new method to unsupervisedly design a large number of classification tasks to meta-train medical image classifiers. We evaluate our method on a breast dynamically contrast enhanced magnetic resonance imaging (DCE-MRI) data set that has been used to benchmark few-shot training methods of medical image classifiers. Our results show that the proposed unsupervised task design to meta-train medical image classifiers builds a pre-trained model that, after fine-tuning, produces better classification results than other unsupervised and supervised pre-training methods, and competitive results with respect to meta-training that relies on hand-designed classification tasks.

Published
2019

180. Bayesian Active Learning With Abstention Feedbacks

Author

Nguyen, Cuong V., Ho, Lam Si Tung, Xu, Huan, Dinh, Vu, and Nguyen, Binh

Subjects
Computer Science - Machine Learning, Computer Science - Artificial Intelligence, Mathematics - Optimization and Control, Statistics - Machine Learning
Abstract

We study pool-based active learning with abstention feedbacks where a labeler can abstain from labeling a queried example with some unknown abstention rate. This is an important problem with many useful applications. We take a Bayesian approach to the problem and develop two new greedy algorithms that learn both the classification problem and the unknown abstention rate at the same time. These are achieved by simply incorporating the estimated average abstention rate into the greedy criteria. We prove that both algorithms have near-optimality guarantees: they respectively achieve a ${(1-\frac{1}{e})}$ constant factor approximation of the optimal expected or worst-case value of a useful utility function. Our experiments show the algorithms perform well in various practical scenarios., Comment: Poster presented at 2019 ICML Workshop on Human in the Loop Learning 2019 (non-archival). arXiv admin note: substantial text overlap with arXiv:1705.08481

Published
2019

184. Improving and Understanding Variational Continual Learning

Author

Swaroop, Siddharth, Nguyen, Cuong V., Bui, Thang D., and Turner, Richard E.

Subjects
Statistics - Machine Learning, Computer Science - Machine Learning
Abstract

In the continual learning setting, tasks are encountered sequentially. The goal is to learn whilst i) avoiding catastrophic forgetting, ii) efficiently using model capacity, and iii) employing forward and backward transfer learning. In this paper, we explore how the Variational Continual Learning (VCL) framework achieves these desiderata on two benchmarks in continual learning: split MNIST and permuted MNIST. We first report significantly improved results on what was already a competitive approach. The improvements are achieved by establishing a new best practice approach to mean-field variational Bayesian neural networks. We then look at the solutions in detail. This allows us to obtain an understanding of why VCL performs as it does, and we compare the solution to what an `ideal' continual learning solution might be.

Published
2019

185. Global, regional, and national burden of low back pain, 1990–2020, its attributable risk factors, and projections to 2050: a systematic analysis of the Global Burden of Disease Study 2021

Author

Ferreira, Manuela L, de Luca, Katie, Haile, Lydia M, Steinmetz, Jaimie D, Culbreth, Garland T, Cross, Marita, Kopec, Jacek A, Ferreira, Paulo H, Blyth, Fiona M, Buchbinder, Rachelle, Hartvigsen, Jan, Wu, Ai-Min, Safiri, Saeid, Woolf, Anthony D, Collins, Gary S, Ong, Kanyin Liane, Vollset, Stein Emil, Smith, Amanda E, Cruz, Jessica A, Fukutaki, Kai Glenn, Abate, Semagn Mekonnen, Abbasifard, Mitra, Abbasi-Kangevari, Mohsen, Abbasi-Kangevari, Zeinab, Abdelalim, Ahmed, Abedi, Aidin, Abidi, Hassan, Adnani, Qorinah Estiningtyas Sakilah, Ahmadi, Ali, Akinyemi, Rufus Olusola, Alamer, Abayneh Tadesse, Alem, Adugnaw Zeleke, Alimohamadi, Yousef, Alshehri, Mansour Abdullah, Alshehri, Mohammed Mansour, Alzahrani, Hosam, Amini, Saeed, Amiri, Sohrab, Amu, Hubert, Andrei, Catalina Liliana, Andrei, Tudorel, Antony, Benny, Arabloo, Jalal, Arulappan, Judie, Arumugam, Ashokan, Ashraf, Tahira, Athari, Seyyed Shamsadin, Awoke, Nefsu, Azadnajafabad, Sina, Bärnighausen, Till Winfried, Barrero, Lope H, Barrow, Amadou, Barzegar, Akbar, Bearne, Lindsay M, Bensenor, Isabela M, Berhie, Alemshet Yirga, Bhandari, Bharti Bhandari, Bhojaraja, Vijayalakshmi S, Bijani, Ali, Bodicha, Belay Boda Abule, Bolla, Srinivasa Rao, Brazo-Sayavera, Javier, Briggs, Andrew M, Cao, Chao, Charalampous, Periklis, Chattu, Vijay Kumar, Cicuttini, Flavia M, Clarsen, Benjamin, Cuschieri, Sarah, Dadras, Omid, Dai, Xiaochen, Dandona, Lalit, Dandona, Rakhi, Dehghan, Azizallah, Demie, Takele Gezahegn G, Denova-Gutiérrez, Edgar, Dewan, Syed Masudur Rahman, Dharmaratne, Samath Dhamminda, Dhimal, Mandira Lamichhane, Dhimal, Meghnath, Diaz, Daniel, Didehdar, Mojtaba, Digesa, Lankamo Ena, Diress, Mengistie, Do, Hoa Thi, Doan, Linh Phuong, Ekholuenetale, Michael, Elhadi, Muhammed, Eskandarieh, Sharareh, Faghani, Shahriar, Fares, Jawad, Fatehizadeh, Ali, Fetensa, Getahun, Filip, Irina, Fischer, Florian, Franklin, Richard Charles, Ganesan, Balasankar, Gemeda, Belete Negese Belete, Getachew, Motuma Erena, Ghashghaee, Ahmad, Gill, Tiffany K, Golechha, Mahaveer, Goleij, Pouya, Gupta, Bhawna, Hafezi-Nejad, Nima, Haj-Mirzaian, Arvin, Hamal, Pawan Kumar, Hanif, Asif, Harlianto, Netanja I, Hasani, Hamidreza, Hay, Simon I, Hebert, Jeffrey J, Heidari, Golnaz, Heidari, Mohammad, Heidari-Soureshjani, Reza, Hlongwa, Mbuzeleni Mbuzeleni, Hosseini, Mohammad-Salar, Hsiao, Alexander Kevin, Iavicoli, Ivo, Ibitoye, Segun Emmanuel, Ilic, Irena M, Ilic, Milena D, Islam, Sheikh Mohammed Shariful, Janodia, Manthan Dilipkumar, Jha, Ravi Prakash, Jindal, Har Ashish, Jonas, Jost B, Kabito, Gebisa Guyasa, Kandel, Himal, Kaur, Rimple Jeet, Keshri, Vikash Ranjan, Khader, Yousef Saleh, Khan, Ejaz Ahmad, Khan, Md Jobair, Khan, Moien AB, Khayat Kashani, Hamid Reza, Khubchandani, Jagdish, Kim, Yun Jin, Kisa, Adnan, Klugarová, Jitka, Kolahi, Ali-Asghar, Koohestani, Hamid Reza, Koyanagi, Ai, Kumar, G Anil, Kumar, Narinder, Lallukka, Tea, Lasrado, Savita, Lee, Wei-Chen, Lee, Yo Han, Mahmoodpoor, Ata, Malagón-Rojas, Jeadran N, Malekpour, Mohammad-Reza, Malekzadeh, Reza, Malih, Narges, Mehndiratta, Man Mohan, Mehrabi Nasab, Entezar, Menezes, Ritesh G, Mentis, Alexios-Fotios A, Mesregah, Mohamed Kamal, Miller, Ted R, Mirza-Aghazadeh-Attari, Mohammad, Mobarakabadi, Maryam, Mohammad, Yousef, Mohammadi, Esmaeil, Mohammed, Shafiu, Mokdad, Ali H, Momtazmanesh, Sara, Monasta, Lorenzo, Moni, Mohammad Ali, Mostafavi, Ebrahim, Murray, Christopher J L, Nair, Tapas Sadasivan, Nazari, Javad, Nejadghaderi, Seyed Aria, Neupane, Subas, Neupane Kandel, Sandhya, Nguyen, Cuong Tat, Nowroozi, Ali, Okati-Aliabad, Hassan, Omer, Emad, Oulhaj, Abderrahim, Owolabi, Mayowa O, Panda-Jonas, Songhomitra, Pandey, Anamika, Park, Eun-Kee, Pawar, Shrikant, Pedersini, Paolo, Pereira, Jeevan, Peres, Mario F P, Petcu, Ionela-Roxana, Pourahmadi, Mohammadreza, Radfar, Amir, Rahimi-Dehgolan, Shahram, Rahimi-Movaghar, Vafa, Rahman, Mosiur, Rahmani, Amir Masoud, Rajai, Nazanin, Rao, Chythra R, Rashedi, Vahid, Rashidi, Mohammad-Mahdi, Ratan, Zubair Ahmed, Rawaf, David Laith, Rawaf, Salman, Renzaho, Andre M N, Rezaei, Negar, Rezaei, Zahed, Roever, Leonardo, Ruela, Guilherme de Andrade, Saddik, Basema, Sahebkar, Amirhossein, Salehi, Sana, Sanmarchi, Francesco, Sepanlou, Sadaf G, Shahabi, Saeed, Shahrokhi, Shayan, Shaker, Elaheh, Shamsi, MohammadBagher, Shannawaz, Mohammed, Sharma, Saurab, Shaygan, Maryam, Sheikhi, Rahim Ali, Shetty, Jeevan K, Shiri, Rahman, Shivalli, Siddharudha, Shobeiri, Parnian, Sibhat, Migbar Mekonnen, Singh, Ambrish, Singh, Jasvinder A, Slater, Helen, Solmi, Marco, Somayaji, Ranjani, Tan, Ker-Kan, Thapar, Rekha, Tohidast, Seyed Abolfazl, Valadan Tahbaz, Sahel, Valizadeh, Rohollah, Vasankari, Tommi Juhani, Venketasubramanian, Narayanaswamy, Vlassov, Vasily, Vo, Bay, Wang, Yuan-Pang, Wiangkham, Taweewat, Yadav, Lalit, Yadollahpour, Ali, Yahyazadeh Jabbari, Seyed Hossein, Yang, Lin, Yazdanpanah, Fereshteh, Yonemoto, Naohiro, Younis, Mustafa Z, Zare, Iman, Zarrintan, Armin, Zoladl, Mohammad, Vos, Theo, and March, Lyn M

Published
2023
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199. Contributors

Author

Amatriain, Xavier, primary, Balaji, Yogesh, additional, Bekiranov, Stefan, additional, Belagiannis, Vasileios, additional, Benyoussef, Anas-Alexis, additional, Carneiro, Gustavo, additional, Chablani, Manish, additional, Chen, Cheng, additional, Cho, Hyun Jae, additional, Chou, Jingyuan, additional, Cochener, Béatrice, additional, Conze, Pierre-Henri, additional, Dawoud, Youssef, additional, Do, Thanh-Toan, additional, Dou, Qi, additional, Farshad, Azade, additional, Fu, Chi-Wing, additional, Guha Roy, Abhijit, additional, Guo, Pengfei, additional, Heng, Pheng-Ann, additional, Hoang, Hieu, additional, Jiang, Shanshan, additional, Jin, Yueming, additional, Kannan, Anitha, additional, Kim, Jieum, additional, Lamard, Mathieu, additional, Le, Ngan, additional, Le Callet, Patrick, additional, Le Guilcher, Alexandre, additional, Li, Xiaomeng, additional, Ling, Suiyi, additional, Liu, Quande, additional, Massin, Pascale, additional, Matta, Sarah, additional, Mobiny, Aryan, additional, Nascimento, Jacinto C., additional, Navab, Nassir, additional, Nguyen, Cuong C., additional, Nguyen, Hien Van, additional, Pastor, Andreas, additional, Patel, Vishal M., additional, Paul, Angshuman, additional, Pölsterl, Sebastian, additional, Prabhu, Viraj, additional, Quellec, Gwenolé, additional, Ravuri, Murali, additional, Ricquebourg, Vincent, additional, Rottier, Jean-Bernard, additional, Sankaranarayanan, Swami, additional, Shen, Thomas C., additional, Siddiqui, Shayan, additional, Sontag, David, additional, Summers, Ronald M., additional, Suo, Qiuling, additional, Tang, Yu-Xing, additional, Tran, Minh-Triet, additional, Vo-Ho, Viet-Khoa, additional, Wachinger, Christian, additional, Wang, Puyang, additional, Xing, Lei, additional, Yamazaki, Kashu, additional, Yeganeh, Yousef, additional, Yu, Lequan, additional, Yuan, Pengyu, additional, Zang, Chongzhi, additional, Zhang, Aidong, additional, and Zhou, Jinyuan, additional

Published
2023
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