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3. Addressing Discretization Artifacts in Tomography by Accessing and Balancing Pixel Coverage of Projections

Author

Olasz, Csaba, Hartmanis, Juris, Founding Editor, Goos, Gerhard, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Barneva, Reneta P., editor, Brimkov, Valentin E., editor, Gentile, Claudio, editor, and Pacchiano, Aldo, editor

Published
2024
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4. Hybrid Residual Network and XGBoost Method for the Accurate Diagnosis of Lung Cancer

Author

Mustafa, Mohammed Ahmed, Adel, Abual-hassan, Abdulhasan, Maki Mahdi, Alassedi, Zainab, Ghadir, Ghadir Kamil, Al-Tmimi, Hayder Musaad, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Botto-Tobar, Miguel, editor, Zambrano Vizuete, Marcelo, editor, Montes León, Sergio, editor, Torres-Carrión, Pablo, editor, and Durakovic, Benjamin, editor

Published
2024
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5. Lung Cancer Classification Using Deep Learning-Based Techniques

Author

Wahengbam, Monita, Sriram, M., Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Rajagopal, Sridaran, editor, Popat, Kalpesh, editor, Meva, Divyakant, editor, and Bajeja, Sunil, editor

Published
2024
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6. Efficient Lung Cancer Segmentation Using Deep Learning-Based Models

Author

Wahengbam, Monita, Sriram, M., Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Rajagopal, Sridaran, editor, Popat, Kalpesh, editor, Meva, Divyakant, editor, and Bajeja, Sunil, editor

Published
2024
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8. Characterization of Polyethylene Pipe Properties Through Advanced Metrology Techniques

Author

Bayrakçıl, Meryem Didar, Bodur, Osman, Klein, Martin, Walcher, Eva-Maria, Poszvek, Günther, Jalowiec, Marcelina, Chaari, Fakher, Series Editor, Gherardini, Francesco, Series Editor, Ivanov, Vitalii, Series Editor, Haddar, Mohamed, Series Editor, Cavas-Martínez, Francisco, Editorial Board Member, di Mare, Francesca, Editorial Board Member, Kwon, Young W., Editorial Board Member, Tolio, Tullio A. M., Editorial Board Member, Trojanowska, Justyna, Editorial Board Member, Schmitt, Robert, Editorial Board Member, Xu, Jinyang, Editorial Board Member, Durakbasa, Numan M., editor, and Gençyılmaz, M. Güneş, editor

Published
2024
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9. Advanced Quality Assurance of Additive Manufacturing Through Computed Tomography

Author

Jałowiec, Marcelina, Walcher, Eva-Maria, Bodur, Osman, Poszvek, Günther, Klein, Martin, Bayrakçıl, Meryem Didar, Chaari, Fakher, Series Editor, Gherardini, Francesco, Series Editor, Ivanov, Vitalii, Series Editor, Haddar, Mohamed, Series Editor, Cavas-Martínez, Francisco, Editorial Board Member, di Mare, Francesca, Editorial Board Member, Kwon, Young W., Editorial Board Member, Tolio, Tullio A. M., Editorial Board Member, Trojanowska, Justyna, Editorial Board Member, Schmitt, Robert, Editorial Board Member, Xu, Jinyang, Editorial Board Member, Durakbasa, Numan M., editor, and Gençyılmaz, M. Güneş, editor

Published
2024
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10. CT Image Synthesis from MR Image Using Edge-Aware Generative Adversarial Network

Author

Joseph, Jiffy, Prasanth, Rita, Maret, Sebin Abraham, Pournami, P. N., Jayaraj, P. B., Puzhakkal, Niyas, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Gupta, Deep, editor, Bhurchandi, Kishor, editor, Murala, Subrahmanyam, editor, Raman, Balasubramanian, editor, and Kumar, Sanjeev, editor

Published
2023
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11. Reference Sample for Porosity Evaluation by Non – Destructive Method – Industrial Computed Tomography

Author

Kritikos, Michaela, Kusa, Martina, Chaari, Fakher, Series Editor, Gherardini, Francesco, Series Editor, Ivanov, Vitalii, Series Editor, Cavas-Martínez, Francisco, Editorial Board Member, di Mare, Francesca, Editorial Board Member, Haddar, Mohamed, Editorial Board Member, Kwon, Young W., Editorial Board Member, Trojanowska, Justyna, Editorial Board Member, Xu, Jinyang, Editorial Board Member, Durakbasa, Numan M., editor, and Gençyılmaz, M. Güneş, editor

Published
2023
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12. A Comprehensive Survey on Deep Learning-Based Pulmonary Nodule Identification on CT Images

Author

Christina Sweetline, B., Vijayakumaran, C., Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Das, Swagatam, editor, Saha, Snehanshu, editor, Coello Coello, Carlos A., editor, and Bansal, Jagdish Chand, editor

Published
2023
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13. Low-dose CT for lung cancer screening: position paper from the Italian college of thoracic radiology

Author

Silva, Mario, Picozzi, Giulia, Sverzellati, Nicola, Anglesio, Sandra, Bartolucci, Maurizio, Cavigli, Edoardo, Deliperi, Annalisa, Falchini, Massimo, Falaschi, Fabio, Ghio, Domenico, Gollini, Paola, Larici, Anna Rita, Marchianò, Alfonso V., Palmucci, Stefano, Preda, Lorenzo, Romei, Chiara, Tessa, Carlo, Rampinelli, Cristiano, and Mascalchi, Mario

Published
2022
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14. Recommendations in pre-procedural imaging assessment for TAVI intervention: SIC-SIRM position paper part 2 (CT and MR angiography, standard medical reporting, future perspectives)

Author

Marano, Riccardo, Pontone, Gianluca, Agricola, Eustachio, Alushi, Brunilda, Bartorelli, Antonio, Cameli, Matteo, Carrabba, Nazario, Esposito, Antonio, Faletti, Riccardo, Francone, Marco, Galea, Nicola, Golino, Paolo, Guglielmo, Marco, Palmisano, Anna, Petronio, Sonia, Petullà, Maria, Pradella, Silvia, Ribichini, Flavio, Romeo, Francesco, Russo, Vincenzo, Scandura, Salvatore, Schicchi, Nicolò, Spaccarotella, Carmen, Tomai, Fabrizio, Indolfi, Ciro, and Centonze, Maurizio

Published
2022
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15. Expert opinion paper on cardiac imaging after ischemic stroke

Author

Schnabel, Renate B., Camen, Stephan, Knebel, Fabian, Hagendorff, Andreas, Bavendiek, Udo, Böhm, Michael, Doehner, Wolfram, Endres, Matthias, Gröschel, Klaus, Goette, Andreas, Huttner, Hagen B., Jensen, Christoph, Kirchhof, Paulus, Korosoglou, Grigorios, Laufs, Ulrich, Liman, Jan, Morbach, Caroline, Nabavi, Darius Günther, Neumann-Haefelin, Tobias, Pfeilschifter, Waltraud, Poli, Sven, Rizos, Timolaos, Rolf, Andreas, Röther, Joachim, Schäbitz, Wolf Rüdiger, Steiner, Thorsten, Thomalla, Götz, Wachter, Rolf, and Haeusler, Karl Georg

Published
2021
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16. COVID-19 Infection Percentage Prediction via Boosted Hierarchical Vision Transformer

Author

Hsu, Chih-Chung, Dai, Sheng-Jay, Chen, Shao-Ning, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Mazzeo, Pier Luigi, editor, Frontoni, Emanuele, editor, Sclaroff, Stan, editor, and Distante, Cosimo, editor

Published
2022
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17. Evaluation of Fused Deposition Modeling Process Parameters Influence on 3D Printed Components by High Precision Metrology

Author

Sterca, Alexandru D., Calin, Roxana-Anamaria, Cristian, Lucian, Walcher, Eva Maria, Bodur, Osman, Ceclan, Vasile, Grozav, Sorin Dumitru, Durakbasa, Numan M., Cavas-Martínez, Francisco, Series Editor, Chaari, Fakher, Series Editor, di Mare, Francesca, Series Editor, Gherardini, Francesco, Series Editor, Haddar, Mohamed, Series Editor, Ivanov, Vitalii, Series Editor, Kwon, Young W., Series Editor, Trojanowska, Justyna, Series Editor, Durakbasa, Numan M., editor, and Gençyılmaz, M. Güneş, editor

Published
2022
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18. Investigation of Influence by Different Segmentation Parameters on Surface Accuracy in Industrial X-ray Computed Tomography

Author

Sokac, Mario, Katic, Marko, Santosi, Zeljko, Vukelic, Djordje, Budak, Igor, Durakbasa, Numan M., Cavas-Martínez, Francisco, Series Editor, Chaari, Fakher, Series Editor, di Mare, Francesca, Series Editor, Gherardini, Francesco, Series Editor, Haddar, Mohamed, Series Editor, Ivanov, Vitalii, Series Editor, Kwon, Young W., Series Editor, Trojanowska, Justyna, Series Editor, Durakbasa, Numan M., editor, and Gençyılmaz, M. Güneş, editor

Published
2022
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19. Comparison of Optical Scanner and Computed Tomography Scan Accuracy

Author

Kritikos, Michaela, Urminsky, Jan, Buransky, Ivan, Cavas-Martínez, Francisco, Series Editor, Chaari, Fakher, Series Editor, di Mare, Francesca, Series Editor, Gherardini, Francesco, Series Editor, Haddar, Mohamed, Series Editor, Ivanov, Vitalii, Series Editor, Kwon, Young W., Series Editor, Trojanowska, Justyna, Series Editor, Durakbasa, Numan M., editor, and Gençyılmaz, M. Güneş, editor

Published
2022
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20. On a Weakly Supervised Classification Problem

Author

Berikov, Vladimir, Litvinenko, Alexander, Pestunov, Igor, Sinyavskiy, Yuriy, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Burnaev, Evgeny, editor, Ignatov, Dmitry I., editor, Ivanov, Sergei, editor, Khachay, Michael, editor, Koltsova, Olessia, editor, Kutuzov, Andrei, editor, Kuznetsov, Sergei O., editor, Loukachevitch, Natalia, editor, Napoli, Amedeo, editor, Panchenko, Alexander, editor, Pardalos, Panos M., editor, Saramäki, Jari, editor, Savchenko, Andrey V., editor, Tsymbalov, Evgenii, editor, and Tutubalina, Elena, editor

Published
2022
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21. Deep Learning Based Covid-19 Patients Detection

Author

Paramasivam, C., Priyadarsini, R., Rannenberg, Kai, Editor-in-Chief, Soares Barbosa, Luís, Editorial Board Member, Goedicke, Michael, Editorial Board Member, Tatnall, Arthur, Editorial Board Member, Neuhold, Erich J., Editorial Board Member, Stiller, Burkhard, Editorial Board Member, Tröltzsch, Fredi, Editorial Board Member, Pries-Heje, Jan, Editorial Board Member, Kreps, David, Editorial Board Member, Reis, Ricardo, Editorial Board Member, Furnell, Steven, Editorial Board Member, Mercier-Laurent, Eunika, Editorial Board Member, Winckler, Marco, Editorial Board Member, Malaka, Rainer, Editorial Board Member, Kalinathan, Lekshmi, editor, R., Priyadharsini, editor, Kanmani, Madheswari, editor, and S., Manisha, editor

Published
2022
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22. Evaluation of Importance Estimators in Deep Learning Classifiers for Computed Tomography

Author

Brocki, Lennart, Marchadour, Wistan, Maison, Jonas, Badic, Bogdan, Papadimitroulas, Panagiotis, Hatt, Mathieu, Vermet, Franck, Chung, Neo Christopher, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Calvaresi, Davide, editor, Najjar, Amro, editor, Winikoff, Michael, editor, and Främling, Kary, editor

Published
2022
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23. A Predictive System to Classify Preoperative Grading of Rectal Cancer Using Radiomics Features

Author

Canfora, Ilaria, Cutaia, Giuseppe, Marcianò, Marco, Calamia, Mauro, Faraone, Roberta, Cannella, Roberto, Benfante, Viviana, Comelli, Albert, Guercio, Giovanni, Giuseppe, Lo Re, Salvaggio, Giuseppe, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Mazzeo, Pier Luigi, editor, Frontoni, Emanuele, editor, Sclaroff, Stan, editor, and Distante, Cosimo, editor

Published
2022
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25. Geometric Tolerancing Analysis of Multi-material Components (MMCs) Obtained by Industrial X-Ray Computed Tomography

Author

Sokac, Mario, Santosi, Zeljko, Vukelic, Djordje, Katic, Marko, Durakbasa, Numan M., Budak, Igor, Cavas-Martínez, Francisco, Series Editor, Chaari, Fakher, Series Editor, Gherardini, Francesco, Series Editor, Haddar, Mohamed, Series Editor, Ivanov, Vitalii, Series Editor, Kwon, Young W., Series Editor, Trojanowska, Justyna, Series Editor, Durakbasa, Numan M., editor, and Gençyılmaz, M. Güneş, editor

Published
2021
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26. Metal Artifact Reduction Based on Color Mapping and Inpainting Techniques

Author

Alcântara, Rafaela Souza, Apolinário, Antônio Lopes, Jr., Ferreira, Perfilino Eugênio, Jr., Giraldi, Gilson Antonio, Rebello, Iêda Margarida Crusoé Rocha, Dultra, Joaquim de Almeida, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Tavares, João Manuel R. S., editor, Papa, João Paulo, editor, and González Hidalgo, Manuel, editor

Published
2021
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28. Reconstruction of Carbon Papers and Analysis of Structural and Characteristic Parameters Through Lattice Boltzmann Method.

Author

Gao, Yanan, Wen, Zhi, Deng, Xie, Shi, Mingze, and Liu, Xunliang

Subjects
LATTICE Boltzmann methods, CARBON paper, CARBON analysis, COMPUTED tomography, LATTICE constants, MASS transfer
Abstract

Carbon paper is commonly used to fabricate electrodes for batteries, and its morphology is crucial to the internal mass transport. In this work, geometric models of carbon paper are obtained by experimental and numerical reconstruction methods. The micromorphology of the carbon paper is obtained with a scanning electron microscope and an X-ray computed tomography scanner, and the binary slicing method is used in the experimental reconstruction method. Three different methods are used for numerical reconstruction, namely the layered 2D fibre, 3D fibre stacking and layered 3D fibre stacking methods. The structure and characteristic parameters of the carbon paper, such as pore size distribution, dimensionless specific surface area, effective diffusion coefficient and anisotropic coefficient, are statistically analysed for comparison. The dimensionless effective diffusion coefficients of Li+ in different directions in the electrolyte-filled carbon paper are obtained using lattice Boltzmann method. Results show that the internal structural features directly affect mass transport. The curves of the calculated effective diffusivity versus porosity are well fitted using a power function similar to Bruggeman equation within the porosity range of 0.66–0.86. The anisotropic coefficient is obtained from the effective diffusion coefficient in different directions. [ABSTRACT FROM AUTHOR]

Published
2021
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31. Diversity of current ultrasound practice within and outside radiology departments with a vision for 20 years into the future: a position paper of the ESR ultrasound subcommittee.

Author

Sidhu, Paul S., Ewertsen, Caroline, Piskunowicz, Maciej, Secil, Mustafa, Ricci, Paolo, Fischer, Thomas, Gaitini, Diana, Mitkov, Vladimir, Lim, Adrian K. P., Lu, Qiang, Chong, Wui K., and Clevert, Dirk Andre

Subjects
*TELERADIOLOGY, *DIAGNOSTIC ultrasonic imaging personnel, *INTERVENTIONAL radiology, *ULTRASONIC imaging, *COMPUTED tomography, *RADIOLOGY, *MAGNETIC resonance imaging, *OPERATIVE ultrasonography
Abstract

Ultrasound practice is a longstanding tradition for radiology departments, being part of the family of imaging techniques. Ultrasound is widely practiced by non-radiologists but becoming less popular within radiology. The position of ultrasound in radiology is reviewed, and a possible long-term solution to manage radiologist expectations is proposed. An international group of experts in the practice of ultrasound was invited to describe the current organisation of ultrasound within the radiology departments in their own countries and comment on the interaction with non-radiologists and training arrangements. Issues related to regulation, non-medical practitioners, and training principles are detailed. A consensus view was sought from the experts regarding the position of ultrasound within radiology, with the vision of the best scenario for the continuing dominance of radiologists practising ultrasound. Comments were collated from nine different countries. Variable levels of training, practice, and interaction with non-radiologist were reported, with some countries relying on non-physician input to manage the service. All experts recognised there was a diminished desire to practice ultrasound by radiologists. Models varied from practising solely ultrasound and no other imaging techniques to radiology departments being central to the practice of ultrasound by radiologists and non-radiologist, housed within radiology. The consensus view was that the model favoured in select hospitals in Germany would be the most likely setup for ultrasound radiologist to develop and maintain practice. The vision for 20 years hence is for a central ultrasound section within radiology, headed by a trained expert radiologist, with non-radiologist using the facilities. Critical relevance statement The future of ultrasound within the radiology department should encompass all ultrasound users, with radiologists expert in ultrasound, managing the ultrasound section within the radiology department. The current radiology trainees must learn of the importance of ultrasound as a component of the 'holistic' imaging of the patient. Key points: 1. Ultrasound imaging within radiology departments precedes the introduction of CT and MR imaging and was first used over 50 years ago. 2. Non-radiology practitioners deploy ultrasound examinations to either 'problem solve' or perform a comprehensive ultrasound examination; radiologists provide comprehensive examinations or use ultrasound to direct interventional procedures. 3. Radiology does not 'own' ultrasound, but radiologists are best placed to offer a comprehensive patient-focused imaging assessment. 4. A vision of the future of ultrasound within the radiology department is encompassing all ultrasound users under radiologists who are experts in ultrasound, positioned within the radiology department. 5. The current radiology trainee must be aware of the importance of ultrasound as a component of the 'holistic' imaging of the patient. [ABSTRACT FROM AUTHOR]

Published
2023
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32. Diagnostic Classification of Pulmonary Nodules Using a Multi-scale and Multi-input DenseNet

Author

Wang, Mengsong, Li, Hansheng, Wu, Yifan, Bu, Qirong, Feng, Jun, Barbosa, Simone Diniz Junqueira, Editorial Board Member, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Kotenko, Igor, Editorial Board Member, Yuan, Junsong, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Wang, Yongtian, editor, Huang, Qingmin, editor, and Peng, Yuxin, editor

Published
2019
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33. Fast Registration of CT with Intra-operative Ultrasound Images for Spine Surgery

Author

Gueziri, Houssem-Eddine, Collins, D. Louis, Hutchison, David, Editorial Board Member, Kanade, Takeo, Editorial Board Member, Kittler, Josef, Editorial Board Member, Kleinberg, Jon M., Editorial Board Member, Mattern, Friedemann, Editorial Board Member, Mitchell, John C., Editorial Board Member, Naor, Moni, Editorial Board Member, Pandu Rangan, C., Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Terzopoulos, Demetri, Editorial Board Member, Tygar, Doug, Editorial Board Member, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Zheng, Guoyan, editor, Belavy, Daniel, editor, Cai, Yunliang, editor, and Li, Shuo, editor

Published
2019
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35. Neuromorphological Atlas of Human Prenatal Brain Development: White Paper.

Author

Proshchina, Alexandra, Kharlamova, Anastasia, Krivova, Yuliya, Godovalova, Olga, Otlyga, Dmitriy, Gulimova, Victoria, Otlyga, Ekaterina, Junemann, Olga, Sonin, Gleb, and Saveliev, Sergey

Subjects
*FETAL development, *DEVELOPMENTAL neurobiology, *FETAL brain, *NEURAL development, *FUNCTIONAL magnetic resonance imaging, *COMPUTED tomography, *MAGNETIC resonance imaging
Abstract

Recent morphological data on human brain development are quite fragmentary. However, they are highly requested for a number of medical practices, educational programs, and fundamental research in the fields of embryology, cytology and histology, neurology, physiology, path anatomy, neonatology, and others. This paper provides the initial information on the new online Human Prenatal Brain Development Atlas (HBDA). The Atlas will start with forebrain annotated hemisphere maps, based on human fetal brain serial sections at the different stages of prenatal ontogenesis. Spatiotemporal changes in the regional-specific immunophenotype profiles will also be demonstrated on virtual serial sections. The HBDA can serve as a reference database for the neurological research, which provides opportunity to compare the data obtained by noninvasive techniques, such as neurosonography, X-ray computed tomography and magnetic resonance imaging, functional magnetic resonance imaging, 3D high-resolution phase-contrast computed tomography visualization techniques, as well as spatial transcriptomics data. It could also become a database for the qualitative and quantitative analysis of individual variability in the human brain. Systemized data on the mechanisms and pathways of prenatal human glio- and neurogenesis could also contribute to the search for new therapy methods for a large spectrum of neurological pathologies, including neurodegenerative and cancer diseases. The preliminary data are now accessible on the special HBDA website. [ABSTRACT FROM AUTHOR]

Published
2023
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36. European Academy of Allergy and Clinical Immunology position paper on endoscopic scoring of nasal polyposis.

Author

Gevaert, Philippe, De Craemer, Jarno, Bachert, Claus, Blauwblomme, Manon, Chaker, Adam, Cingi, Cemal, Hellings, Peter W., Hopkins, Claire, Hox, Valérie, Fokkens, Wytske J., Klimek, Ludger, Lund, Valerie, Mösges, Ralph, Mullol, Joaquim, Pfaar, Oliver, Scadding, Glenis, Tomazic, Peter Valentin, Van Zele, Thibaut, Vlaminck, Stephan, and Wagenmann, Martin

Subjects
*NASAL polyps, *CLINICAL immunology, *MEDICAL research, *PLACEBOS, *ALLERGIES, *COMPUTED tomography
Abstract

Nasal endoscopy is not only used for the diagnosis of chronic rhinosinusitis with nasal polyps (CRSwNP), but also for monitoring the response to therapy playing an important role in both daily practice and research. In contrast to patient‐reported outcomes, endoscopic nasal polyp scoring by independent blinded readers is an objective measurement, not influenced by the placebo effect. It is safer and cheaper compared with computed tomography imaging and therefore, better suited for regular assessments of the extent of the disease. Since the early 90s, a variety of endoscopic staging methods have been proposed and used in clinical research, making it hard to compare results from different studies. This paper resulted from a task force with experts in the field of CRSwNP, originated by the Ear, Nose and Throat section of the European Academy of Allergy and Clinical Immunology and aims to provide a unified endoscopic NP scoring system that can serve as a reference standard for researchers, but also as a useful tool for practitioners involved in the management of CRSwNP. [ABSTRACT FROM AUTHOR]

Published
2023
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37. Management of complicated diaphragmatic hernia in the acute setting: a WSES position paper.

Author

Giuffrida, Mario, Perrone, Gennaro, Abu-Zidan, Fikri, Agnoletti, Vanni, Ansaloni, Luca, Baiocchi, Gian Luca, Bendinelli, Cino, Biffl, Walter L., Bonavina, Luigi, Bravi, Francesca, Carcoforo, Paolo, Ceresoli, Marco, Chichom-Mefire, Alain, Coccolini, Federico, Coimbra, Raul, de'Angelis, Nicola, de Moya, Marc, De Simone, Belinda, Di Saverio, Salomone, and Fraga, Gustavo Pereira

Subjects
*HERNIA surgery, *HERNIOGRAPHY, *DIAPHRAGM injuries, *GENETIC disorder diagnosis, *LAPAROSCOPIC surgery, *DIAPHRAGMATIC hernia, *GENETIC disorders, *MEDICAL protocols, *HERNIA, *CRITICAL care medicine, *EMERGENCY medical services, *ABDOMINAL surgery, *COMPUTED tomography, *ENDOSCOPIC gastrointestinal surgery, *SYMPTOMS
Abstract

Background: Diaphragmatic hernia (DH) presenting acutely can be a potentially life-threatening condition. Its management continues to be debatable. Methods: A bibliographic search using major databases was performed using the terms "emergency surgery" "diaphragmatic hernia," "traumatic diaphragmatic rupture" and "congenital diaphragmatic hernia." GRADE methodology was used to evaluate the evidence and give recommendations. Results: CT scan of the chest and abdomen is the diagnostic gold standard to evaluate complicated DH. Appropriate preoperative assessment and prompt surgical intervention are important for a clinical success. Complicated DH repair is best performed via the use of biological and bioabsorbable meshes which have proven to reduce recurrence. The laparoscopic approach is the preferred technique in hemodynamically stable patients without significant comorbidities because it facilitates early diagnosis of small diaphragmatic injuries from traumatic wounds in the thoraco-abdominal area and reduces postoperative complications. Open surgery should be reserved for situations when skills and equipment for laparoscopy are not available, where exploratory laparotomy is needed, or if the patient is hemodynamically unstable. Damage Control Surgery is an option in the management of critical and unstable patients. Conclusions: Complicated diaphragmatic hernia is a rare life-threatening condition. CT scan of the chest and abdomen is the gold standard for diagnosing the diaphragmatic hernia. Laparoscopic repair is the best treatment option for stable patients with complicated diaphragmatic hernias. Open repair is considered necessary in majority of unstable patients in whom Damage Control Surgery can be life-saving. [ABSTRACT FROM AUTHOR]

Published
2023
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38. Filter Based Approach for Automated Detection of Candidate Lung Nodules in 3D Computed Tomography Images

Author

Bhavanishankar, K., Sudhamani, M. V., Barbosa, Simone Diniz Junqueira, Series Editor, Chen, Phoebe, Series Editor, Filipe, Joaquim, Series Editor, Kotenko, Igor, Series Editor, Sivalingam, Krishna M., Series Editor, Washio, Takashi, Series Editor, Yuan, Junsong, Series Editor, Zhou, Lizhu, Series Editor, Nagabhushan, T.N., editor, Aradhya, V. N. Manjunath, editor, Jagadeesh, Prabhudev, editor, Shukla, Seema, editor, and M.L., Chayadevi, editor

Published
2018
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39. A Combinational De-Noising Algorithm for Low-Dose Computed Tomography

Author

Zhang, Wei, Kang, Yan, Barbosa, Simone Diniz Junqueira, Series editor, Chen, Phoebe, Series editor, Filipe, Joaquim, Series editor, Kotenko, Igor, Series editor, Sivalingam, Krishna M., Series editor, Washio, Takashi, Series editor, Yuan, Junsong, Series editor, Zhou, Lizhu, Series editor, Wang, Yongtian, editor, Wang, Shengjin, editor, Liu, Yue, editor, Yang, Jian, editor, Yuan, Xiaoru, editor, He, Ran, editor, and Duh, Henry Been-Lirn, editor

Published
2018
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40. Nonlinear Compressed Sensing for Multi-emitter X-Ray Imaging

Author

Klodt, Maria, Hauser, Raphael, Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Weikum, Gerhard, Series Editor, Pelillo, Marcello, editor, and Hancock, Edwin, editor

Published
2018
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41. Multi-Planar Deep Segmentation Networks for Cardiac Substructures from MRI and CT

Author

Mortazi, Aliasghar, Burt, Jeremy, Bagci, Ulas, Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Weikum, Gerhard, Series Editor, Pop, Mihaela, editor, Sermesant, Maxime, editor, Jodoin, Pierre-Marc, editor, Lalande, Alain, editor, Zhuang, Xiahai, editor, Yang, Guang, editor, Young, Alistair, editor, and Bernard, Olivier, editor

Published
2018
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42. Cache-Aware Roofline Model and Medical Image Processing Optimizations in GPUs

Author

Serrano, Estefania, Ilic, Aleksandar, Sousa, Leonel, Garcia-Blas, Javier, Carretero, Jesus, Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Yokota, Rio, editor, Weiland, Michèle, editor, Shalf, John, editor, and Alam, Sadaf, editor

Published
2018
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43. Unraveling the Mechanism of Cork Spot-like Physiological Disorders in 'Kurenainoyume' Apples Based on Occurrence Location.

Author

Imura, Eichi, Nakagomi, Mitsuho, Hayashida, Taishi, Fujita, Tomomichi, Sato, Saki, and Matsumoto, Kazuhiro

Subjects
CORK, COMPUTED tomography, APPLES, FRUIT development, PAPER bags, CELL death
Abstract

Cork spot-like physiological disorder (CSPD) is a newly identified issue in 'Kurenainoyume' apples, yet its mechanism remains unclear. To investigate CSPD, we conducted morphological observations on 'Kurenainoyume' apples with and without pre-harvest fruit-bagging treatment using light-impermeable paper bags. Non-bagged fruit developed CSPD in mid-August, while no CSPD symptoms were observed in bagged fruit. The bagging treatment significantly reduced the proportion of opened lenticels, with only 17.9% in bagged fruit compared to 52.0% in non-bagged fruits. In non-bagged fruit, CSPD spots tended to increase from the lenticels, growing in size during fruit development. The cuticular thickness and cross-sectional area of fresh cells in CSPD spots were approximately 16 µm and 1600 µm², respectively. Healthy non-bagged fruit reached these values around 100 to 115 days after full bloom from mid- to late August. Microscopic and computerized tomography scanning observations revealed that many CSPD spots developed at the tips of vascular bundles. Therefore, CSPD initiation between opened lenticels and vascular bundle tips may be influenced by water stress, which is potentially caused by water loss, leading to cell death and the formation of CSPD spots. [ABSTRACT FROM AUTHOR]

Published
2024
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44. Segmentation of Pathological Spines in CT Images Using a Two-Way CNN and a Collision-Based Model

Author

Korez, Robert, Likar, Boštjan, Pernuš, Franjo, Vrtovec, Tomaž, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Glocker, Ben, editor, Yao, Jianhua, editor, Vrtovec, Tomaž, editor, Frangi, Alejandro, editor, and Zheng, Guoyan, editor

Published
2018
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45. Automatic Full Femur Segmentation from Computed Tomography Datasets Using an Atlas-Based Approach

Author

Besler, Bryce A., Michalski, Andrew S., Forkert, Nils D., Boyd, Steven K., Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Glocker, Ben, editor, Yao, Jianhua, editor, Vrtovec, Tomaž, editor, Frangi, Alejandro, editor, and Zheng, Guoyan, editor

Published
2018
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46. Imaging the adult with simple shunt lesions: position paper from the EACVI and the ESC WG on ACHD. Endorsed by AEPC (Association for European Paediatric and Congenital Cardiology)

Author

Katarina Hanseus, Jolien W. Roos-Hesselink, Luc Mertens, Victoria Parish, Sonya V. Babu-Narayan, Gilbert Habib, Thor Edvardsen, Michael A. Gatzoulis, Tarique Hussain, Annemien E. van den Bosch, Emanuela R. Valsangiacomo Buechel, Tal Geva, Alessandra Frigiola, Wei Li, Owen Miller, Giovanni Di Salvo, Beatrice Bonello, Helmut Baumgartner, Laura Dos Subira, Werner Budts, Nankai University (NKU), Department of Interventional Cardiology [Rotterdam, The Netherlands] (Erasmus MC), Erasmus University Medical Center [Rotterdam] (Erasmus MC)-Thorax Center [Rotterdam, The Netherlands], University of Texas Southwestern Medical Center [Dallas], Cardiothoracic Centre, Guy's and St Thomas' Hospital [London], Microbes évolution phylogénie et infections (MEPHI), Institut de Recherche pour le Développement (IRD)-Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS), Oslo University Hospital [Oslo], Aix Marseille Université (AMU), University Hospital Münster - Universitaetsklinikum Muenster [Germany] (UKM), Royal Brompton Hospital, University of Zurich, Budts, Werner, and Cardiology

Subjects
Heart Septal Defects, Ventricular, shunt lesions, Heart disease, 030204 cardiovascular system & hematology, Multimodal Imaging, Heart Septal Defects, Atrial, Congenital, 0302 clinical medicine, [SDV.MHEP.MI]Life Sciences [q-bio]/Human health and pathology/Infectious diseases, ACHD, echocardiography, 030212 general & internal medicine, Child, Heart Defects, [SDV.MHEP.ME]Life Sciences [q-bio]/Human health and pathology/Emerging diseases, Persistent arterial duct, imaging, General Medicine, GUCH, Shunt (medical), [SDV.MP.VIR]Life Sciences [q-bio]/Microbiology and Parasitology/Virology, Radiology, Cardiology and Cardiovascular Medicine, Heart Defects, Congenital, Adult, medicine.medical_specialty, Cardiology, 610 Medicine & health, cardiac magnetic resonance, 2705 Cardiology and Cardiovascular Medicine, 03 medical and health sciences, [SDV.MHEP.CSC]Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular system, adult congenital heart disease, Medical imaging, medicine, Humans, 2741 Radiology, Nuclear Medicine and Imaging, [SDV.MP.PAR]Life Sciences [q-bio]/Microbiology and Parasitology/Parasitology, Radiology, Nuclear Medicine and imaging, Modalities, Modality (human–computer interaction), computed tomography, simple, Atrial, business.industry, Heart Septal Defects, Ventricular, medicine.disease, [SDV.MP.BAC]Life Sciences [q-bio]/Microbiology and Parasitology/Bacteriology, 10036 Medical Clinic, Position paper, business
Abstract

In 2018, the position paper ‘Imaging the adult with congenital heart disease: a multimodality imaging approach’ was published. The paper highlights, in the first part, the different imaging modalities applied in adult congenital heart disease patients. In the second part, these modalities are discussed more detailed for moderate to complex anatomical defects. Because of the length of the paper, simple lesions were not touched on. However, imaging modalities to use for simple shunt lesions are still poorly known. One is looking for structured recommendations on which they can rely when dealing with an (undiscovered) shunt lesion. This information is lacking for the initial diagnostic process, during repair and at follow-up. Therefore, this paper will focus on atrial septal defect, ventricular septal defect, and persistent arterial duct. Pre-, intra-, and post-procedural imaging techniques will be systematically discussed. This position paper will offer algorithms that might help at a glance. The document is prepared for general cardiologists, trainees, medical students, imagers/technicians to select the most appropriate imaging modality and to detect the requested information for each specific lesion. It might serve as reference to which researchers could refer when setting up a (imaging) study.

Published
2020

47. Lung Nodule Classification by Jointly Using Visual Descriptors and Deep Features

Author

Xie, Yutong, Zhang, Jianpeng, Liu, Sidong, Cai, Weidong, Xia, Yong, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Müller, Henning, editor, Kelm, B. Michael, editor, Arbel, Tal, editor, Cai, Weidong, editor, Cardoso, M. Jorge, editor, Langs, Georg, editor, Menze, Bjoern, editor, Metaxas, Dimitris, editor, Montillo, Albert, editor, Wells III, William M., editor, Zhang, Shaoting, editor, Chung, Albert C.S., editor, Jenkinson, Mark, editor, and Ribbens, Annemie, editor

Published
2017
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48. COVID-19 Detection on Chest X-ray and CT Scan: A Review of the Top-100 Most Cited Papers.

Author

Costa, Yandre M. G., Silva Jr., Sergio A., Teixeira, Lucas O., Pereira, Rodolfo M., Bertolini, Diego, Britto Jr., Alceu S., Oliveira, Luiz S., and Cavalcanti, George D. C.

Subjects
*COMPUTED tomography, *X-rays, *X-ray detection, *COMPUTER-assisted image analysis (Medicine), *COVID-19, *DIAGNOSTIC imaging
Abstract

Since the beginning of the COVID-19 pandemic, many works have been published proposing solutions to the problems that arose in this scenario. In this vein, one of the topics that attracted the most attention is the development of computer-based strategies to detect COVID-19 from thoracic medical imaging, such as chest X-ray (CXR) and computerized tomography scan (CT scan). By searching for works already published on this theme, we can easily find thousands of them. This is partly explained by the fact that the most severe worldwide pandemic emerged amid the technological advances recently achieved, and also considering the technical facilities to deal with the large amount of data produced in this context. Even though several of these works describe important advances, we cannot overlook the fact that others only use well-known methods and techniques without a more relevant and critical contribution. Hence, differentiating the works with the most relevant contributions is not a trivial task. The number of citations obtained by a paper is probably the most straightforward and intuitive way to verify its impact on the research community. Aiming to help researchers in this scenario, we present a review of the top-100 most cited papers in this field of investigation according to the Google Scholar search engine. We evaluate the distribution of the top-100 papers taking into account some important aspects, such as the type of medical imaging explored, learning settings, segmentation strategy, explainable artificial intelligence (XAI), and finally, the dataset and code availability. [ABSTRACT FROM AUTHOR]

Published
2022
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49. North American Society for Pediatric Gastroenterology, Hepatology and Nutrition and the Society for Pediatric Radiology Joint Position Paper on Noninvasive Imaging of Pediatric Pancreatitis: Literature Summary and Recommendations

Author

Maisam Abu-El-Haija, Judy H Squires, Sudha A. Anupindi, J Andres Martinez, Veronique D. Morinville, Jorge Alberto Macias-Flores, Sohail Z. Husain, A. Jay Freeman, Andrew T. Trout, Uzma Shah, and Kalyan R Parashette

Subjects
medicine.medical_specialty, Noninvasive imaging, medicine.diagnostic_test, business.industry, Gastroenterology, Computed tomography, Magnetic resonance imaging, Hepatology, medicine.disease, 03 medical and health sciences, Pediatric Radiology, 0302 clinical medicine, 030225 pediatrics, Internal medicine, Pediatrics, Perinatology and Child Health, medicine, Position paper, Pancreatitis, 030211 gastroenterology & hepatology, Intensive care medicine, business, Pediatric gastroenterology
Abstract

The reported incidence of pediatric pancreatitis is increasing. Noninvasive imaging, including ultrasound, computed tomography (CT), and magnetic resonance imaging (MRI), play important roles in the diagnosis, staging, follow-up, and management of pancreatitis in children. In this position paper, generated by members of the Pancreas Committee of the North American Society for Pediatric Gastroenterology, Hepatology and Nutrition (NASPGHAN) and the Abdominal Imaging Committee of The Society for Pediatric Radiology (SPR), we review the roles of noninvasive imaging in pediatric acute, acute recurrent, and chronic pancreatitis. We discuss available evidence related to noninvasive imaging, highlighting evidence specific to pediatric populations, and we make joint recommendations for use of noninvasive imaging. Further, we highlight the need for research to define the performance and role of noninvasive imaging in pediatric pancreatitis.

Published
2020

50. An Automatic Computerized Model for Cancerous Lung Nodule Detection from Computed Tomography Images with Reduced False Positives

Author

Krishnamurthy, Senthilkumar, Narasimhan, Ganesh, Rengasamy, Umamaheswari, Diniz Junqueira Barbosa, Simone, Series editor, Chen, Phoebe, Series editor, Du, Xiaoyong, Series editor, Filipe, Joaquim, Series editor, Kara, Orhun, Series editor, Kotenko, Igor, Series editor, Liu, Ting, Series editor, Sivalingam, Krishna M., Series editor, Washio, Takashi, Series editor, Santosh, K.C., editor, Hangarge, Mallikarjun, editor, Bevilacqua, Vitoantonio, editor, and Negi, Atul, editor

Published
2017
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