المؤلفون: Carolin M. Pirkl, Matteo Cencini, Jan W. Kurzawski, Diana Waldmannstetter, Hongwei Li, Anjany Sekuboyina, Sebastian Endt, Luca Peretti, Graziella Donatelli, Rosa Pasquariello, Mauro Costagli, Guido Buonincontri, Michela Tosetti, Marion I. Menzel, Bjoern H. Menze

المساهمون: University of Zurich, Pirkl, Carolin M

المصدر: Medical Image Analysis

مصطلحات موضوعية: Adult, 1707 Computer Vision and Pattern Recognition, Radiological and Ultrasound Technology, Computer Graphics and Computer, 610 Medicine & health, Health Informatics, Magnetic Resonance Imaging, Computer Graphics and Computer-Aided Design, 1704 Computer Graphics and Computer-Aided Design, Nuclear Medicine and imaging, Motion, Image Processing, Computer-Assisted, Humans, 2741 Radiology, Nuclear Medicine and Imaging, Radiology, Nuclear Medicine and imaging, Aided Design, Computer Vision and Pattern Recognition, Multiparametric Magnetic Resonance Imaging, Artifacts, Child, Radiology, 11493 Department of Quantitative Biomedicine, 3614 Radiological and Ultrasound Technology, Retrospective Studies, 2718 Health Informatics

وصف الملف: 2022_Elsevier_2.pdf - application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0442cf9646316894305876cd271b4265

المؤلفون: Yan Xia, Nishant Ravikumar, Alejandro F. Frangi

مصطلحات موضوعية: Radiological and Ultrasound Technology, Heart Ventricles, Incomplete heart coverage, Convlstm, Reproducibility of Results, Conditional generative adversarial net, Health Informatics, Heart, Computer Graphics and Computer-Aided Design, Magnetic Resonance Imaging, Data imputation, Image Processing, Computer-Assisted, Humans, Radiology, Nuclear Medicine and imaging, Computer Vision and Pattern Recognition, Cardiac MRI

وصف الملف: application/pdf; Print-Electronic

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f2e704e9be51fb341edcf6dd2980ef3e
https://eprints.whiterose.ac.uk/184056/6/1-s2.0-S136184152200007X-main.pdf

المؤلفون: Miao Kang, Xiaojun Hu, Weilin Huang, Matthew R. Scott, Mauricio Reyes

مصطلحات موضوعية: FOS: Computer and information sciences, Radiological and Ultrasound Technology, Computer Vision and Pattern Recognition (cs.CV), ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Computer Science - Computer Vision and Pattern Recognition, Health Informatics, Computer Graphics and Computer-Aided Design, Magnetic Resonance Imaging, Imaging, Three-Dimensional, Image Processing, Computer-Assisted, Humans, Radiology, Nuclear Medicine and imaging, Computer Vision and Pattern Recognition, Neural Networks, Computer, Tomography, X-Ray Computed, 610 Medicine & health

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f308816e32960b155185d635a4744579

المؤلفون: Sebastien Ourselin, Brian Hutton, Tom Vercauteren, Kris Thielemans, Thomas Varsavsky, Manuel Jorge Cardoso, Alexander Hammers, Pawel J. Markiewicz, Kerstin Kläser, David Atkinson

المصدر: Medical Image Analysis

مصطلحات موضوعية: Technology, SEGMENTATION, Health Informatics, Computed tomography, Convolutional neural network, SYNTHETIC CT, Computer Science, Artificial Intelligence, Article, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, Engineering, 0302 clinical medicine, Reconstruction error, medicine, Image Processing, Computer-Assisted, Humans, Radiology, Nuclear Medicine and imaging, MR to CT synthesis, Engineering, Biomedical, Mathematics, Positron emission tomography–magnetic resonance imaging, Ground truth, Science & Technology, Radiological and Ultrasound Technology, medicine.diagnostic_test, business.industry, Radiology, Nuclear Medicine & Medical Imaging, Imitation learning, Deep learning, Gold standard (test), Computer Graphics and Computer-Aided Design, Imitative Behavior, Magnetic Resonance Imaging, Positron-Emission Tomography, Computer Science, Computer Science, Interdisciplinary Applications, Computer Vision and Pattern Recognition, EMISSION, Nuclear medicine, business, Tomography, X-Ray Computed, Life Sciences & Biomedicine, Correction for attenuation, 030217 neurology & neurosurgery, GENERATION

وصف الملف: Print-Electronic

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d9c2a75e2c3c8e6d56fba9cabd96542c
http://europepmc.org/articles/PMC7611431

المؤلفون: Ismail Irmakci, Sanjay K. Jain, Rodney LaLonde, Ulas Bagci, Ziyue Xu

المساهمون: Ege Üniversitesi

المصدر: Med Image Anal

مصطلحات موضوعية: FOS: Computer and information sciences, Computer Science - Machine Learning, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, Capsules, Health Informatics, Regularization (mathematics), Pre-clinical imaging, Article, Machine Learning (cs.LG), 030218 nuclear medicine & medical imaging, Lung segmentation, 03 medical and health sciences, 0302 clinical medicine, Transformation matrix, Market segmentation, FOS: Electrical engineering, electronic engineering, information engineering, Image Processing, Computer-Assisted, Humans, Radiology, Nuclear Medicine and imaging, Segmentation, Radiological and Ultrasound Technology, business.industry, Image and Video Processing (eess.IV), Biomedical image, Pattern recognition, Electrical Engineering and Systems Science - Image and Video Processing, Magnetic Resonance Imaging, Computer Graphics and Computer-Aided Design, 3. Good health, Task (computing), Neural Networks, Computer, Computer Vision and Pattern Recognition, Artificial intelligence, Routing (electronic design automation), Thigh MRI segmentation, Tomography, X-Ray Computed, business, Capsule network, 030217 neurology & neurosurgery

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3e73b1827fefabff7474bab30d76dc73
https://hdl.handle.net/11454/69705

المؤلفون: Dean C. Barratt, Zachary M. C. Baum, Yipeng Hu

المصدر: Medical Image Analysis

مصطلحات موضوعية: FOS: Computer and information sciences, Male, Computer Science - Machine Learning, Computer science, Computer Vision and Pattern Recognition (cs.CV), Computation, Feature extraction, Computer Science - Computer Vision and Pattern Recognition, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Health Informatics, Article, Machine Learning (cs.LG), 030218 nuclear medicine & medical imaging, 03 medical and health sciences, 0302 clinical medicine, FOS: Electrical engineering, electronic engineering, information engineering, Image Processing, Computer-Assisted, Humans, Radiology, Nuclear Medicine and imaging, Point (geometry), Computer vision, Transformer (machine learning model), image-guided interventions, Ultrasonography, Radiological and Ultrasound Technology, Heuristic, business.industry, Image and Video Processing (eess.IV), Prostate, Prostatic Neoplasms, Point set registration, Function (mathematics), Electrical Engineering and Systems Science - Image and Video Processing, prostate cancer, Computer Graphics and Computer-Aided Design, Magnetic Resonance Imaging, point-set registration, medical image registration, Transformation (function), Computer Science::Computer Vision and Pattern Recognition, Computer Vision and Pattern Recognition, Artificial intelligence, business, 030217 neurology & neurosurgery, Algorithms

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::07f1214fd33d58a8b73c9f0c846aa93b
http://europepmc.org/articles/PMC8566274

المؤلفون: Jennifer Keegan, Guang Yang, Lei Li, David N. Firmin, Lingchao Xu, Tom Wong, Fuping Wu, Raad Mohiaddin, Xiahai Zhuang

المساهمون: British Heart Foundation

المصدر: Medical Image Analysis

مصطلحات موضوعية: FOS: Computer and information sciences, Computer science, Image quality, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, Initialization, Contrast Media, Health Informatics, Dice, LGE MRI, Convolutional neural network, 09 Engineering, Article, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, Multi-scale CNN, Cicatrix, 0302 clinical medicine, Cut, medicine, Image Processing, Computer-Assisted, Humans, Radiology, Nuclear Medicine and imaging, Segmentation, Heart Atria, Graph learning, 11 Medical and Health Sciences, Radiological and Ultrasound Technology, medicine.diagnostic_test, business.industry, Magnetic resonance imaging, Pattern recognition, Computer Graphics and Computer-Aided Design, Atrial fibrillation, Magnetic Resonance Imaging, Nuclear Medicine & Medical Imaging, Pulmonary Veins, Left atrium, Scar segmentation, Catheter Ablation, Graph (abstract data type), Computer Vision and Pattern Recognition, Artificial intelligence, Neural Networks, Computer, business, 030217 neurology & neurosurgery

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bb3aa81415c93d104f5e9d4ef2709e67
http://europepmc.org/articles/PMC6988106

المؤلفون: Thierry Brouard, Qianqian Tong, Mattias P. Heinrich, Guoyan Zheng, Jennifer Keegan, Pheng-Ann Heng, Jean-Yves Ramel, Darko Štern, Weixin Si, Guodong Zeng, Zenglin Shi, Chengjia Wang, David N. Firmin, Xin Yang, Chenchen Sun, Örjan Smedby, Martin Urschler, Lei Li, David E. Newby, Chunliang Wang, Ulas Bagci, Julien Oster, Aliasghar Mortazi, Christian Payer, Raad Mohiaddin, Kawal Rhode, Tom MacGillivray, Xiangyun Liao, Sebastien Ourselin, Gaetan Galisot, Guanyu Yang, Xiahai Zhuang, Guang Yang, Cheng Bian

المساهمون: British Heart Foundation, Computer science department [University College London] (UCL-CS), University College of London [London] (UCL), Shanghai Jiao Tong University [Shanghai], Graz University of Technology [Graz] (TU Graz), Ludwig Boltzmann Institute for Clinical Forensic Imaging [Graz] (LBI-CFI), Institute of Medical Informatics [Lübeck], Universität zu Lübeck [Lübeck], Imagerie Adaptative Diagnostique et Interventionnelle (IADI), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lorraine (UL), Royal Institute of Technology [Stockholm] (KTH ), Department of Biomedical Engineering and Health Systems [Stockholm], Shenzhen University [Shenzhen], Peking University [Beijing], The Chinese University of Hong Kong [Hong Kong], Center for Research in Computer Vision [Orlando] (CRCV), University of Central Florida [Orlando] (UCF), Nanjing Southeast University, Laboratoire d'Informatique Fondamentale et Appliquée de Tours (LIFAT), Centre National de la Recherche Scientifique (CNRS)-Université de Tours-Institut National des Sciences Appliquées - Centre Val de Loire (INSA CVL), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA), Reconnaissance des formes et analyse d'images (RFAI), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Université de Tours-Institut National des Sciences Appliquées - Centre Val de Loire (INSA CVL), School of Computer Science [Wuhan], Wuhan University [China], Shenzhen Institutes of Advanced Technology (SIAT), Chinese Academy of Sciences [Changchun Branch] (CAS), Institute for Surgical Technology and Biomechanics [Bern] (ISTB), University of Bern, Centre for Cardiovascular Science [Edinburgh] (BHF), University of Edinburgh, Division of Imaging Sciences, King‘s College London, Department of Imaging Royal Brompton Hospital, Royal Brompton Hospital, National Heart and Lung Institute [London] (NHLI), Imperial College London-Royal Brompton and Harefield NHS Foundation Trust, This work was funded in part by the National Natural Science Foundation of China (NSFC) grant (61971142), the Science and Technology Commission of Shanghai Municipality grant (17JC1401600) and the British Heart Foundation Project grant (PG/16/78/32402)., Université de Tours (UT)-Institut National des Sciences Appliquées - Centre Val de Loire (INSA CVL), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Université de Tours (UT)-Institut National des Sciences Appliquées - Centre Val de Loire (INSA CVL)

المصدر: Medical Image Analysis
Medical Image Analysis, Elsevier, 2019, 58, pp.101537. ⟨10.1016/j.media.2019.101537⟩
Zhuang, X, Li, L, Payer, C, Štern, D, Urschler, M, Heinrich, M P, Oster, J, Wang, C, Smedby, Ö, Bian, C, Yang, X, Heng, P-A, Mortazi, A, Bagci, U, Yang, G, Sun, C, Galisot, G, Ramel, J-Y, Brouard, T, Tong, Q, Si, W, Liao, X, Zeng, G, Shi, Z, Zheng, G, Wang, C, MacGillivray, T, Newby, D, Rhode, K, Ourselin, S, Mohiaddin, R, Keegan, J, Firmin, D & Yang, G 2019, ' Evaluation of algorithms for Multi-Modality Whole Heart Segmentation : An open-access grand challenge ', Medical Image Analysis, vol. 58, pp. 101537 . https://doi.org/10.1016/j.media.2019.101537

مصطلحات موضوعية: FOS: Computer and information sciences, Computer science, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, Datasets as Topic, Health Informatics, Overfitting, Benchmark, Article, 09 Engineering, 030218 nuclear medicine & medical imaging, Set (abstract data type), 03 medical and health sciences, 0302 clinical medicine, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, Image Processing, Computer-Assisted, Humans, symbols.heraldic_charge, Radiology, Nuclear Medicine and imaging, Segmentation, [INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC], Challenge, Multi-modality, 11 Medical and Health Sciences, Radiological and Ultrasound Technology, business.industry, Deep learning, Whole Heart Segmentation, Heart shape, [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], Heart, Benchmarking, Magnetic Resonance Imaging, Computer Graphics and Computer-Aided Design, [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing, Nuclear Medicine & Medical Imaging, Benchmark (computing), symbols, Computer Vision and Pattern Recognition, Artificial intelligence, Tomography, X-Ray Computed, business, Algorithm, Algorithms, 030217 neurology & neurosurgery, Test data

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::263c73bb410327bed3285b236ad28621
http://hdl.handle.net/10044/1/72782

المؤلفون: Hykoush Asaturyan, Barbara Villarini, Antonio Gligorievski

مصطلحات موضوعية: Male, Contrast enhancement, Similarity (geometry), Databases, Factual, Computer science, Health Informatics, Edge detection, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, Imaging, Three-Dimensional, 0302 clinical medicine, Other medical sciences, Image Processing, Computer-Assisted, medicine, Humans, Radiology, Nuclear Medicine and imaging, Segmentation, Pancreas, Radiological and Ultrasound Technology, medicine.diagnostic_test, business.industry, Health sciences, Pattern recognition, Magnetic resonance imaging, Magnetic Resonance Imaging, Computer Graphics and Computer-Aided Design, medicine.anatomical_structure, Computer-aided diagnosis, Clinical medicine, Female, Computer Vision and Pattern Recognition, Artificial intelligence, Tomography, Tomography, X-Ray Computed, business, Algorithms, 030217 neurology & neurosurgery

وصف الملف: text

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::934f1b31326511296dede7ce328dc67c
http://eprints.ugd.edu.mk/27656/

المؤلفون: Eduard Gratacós, Elisenda Eixarch, Narcís Masoller, Gemma Piella, Mario Ceresa, Miguel Ángel González Ballester, Jordina Torrents-Barrena

المصدر: Recercat. Dipósit de la Recerca de Catalunya
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مصطلحات موضوعية: Support vector machine, Computer science, medicine.medical_treatment, Placenta, Corner detector, Health Informatics, Gestational Age, Surgical planning, 3D Super-resolution, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, 0302 clinical medicine, Gabor filter, Imaging, Three-Dimensional, Pregnancy, medicine, Image Processing, Computer-Assisted, Humans, Radiology, Nuclear Medicine and imaging, Segmentation, Fetal Disorder, Fetal surgery, Fetus, Radiological and Ultrasound Technology, 3D reconstruction, Anatomy, Placenta and blood vessels segmentation, Computer Graphics and Computer-Aided Design, Magnetic Resonance Imaging, Fetal Diseases, medicine.anatomical_structure, Female, Computer Vision and Pattern Recognition, 030217 neurology & neurosurgery, MRI

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b6ac9928499daa08a8079d23ace3f74e
http://hdl.handle.net/10230/37249