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1دورية أكاديميةCheXmask: a large-scale dataset of anatomical segmentation masks for multi-center chest x-ray images
المؤلفون: Nicolás Gaggion, Candelaria Mosquera, Lucas Mansilla, Julia Mariel Saidman, Martina Aineseder, Diego H. Milone, Enzo Ferrante
المصدر: Scientific Data, Vol 11, Iss 1, Pp 1-13 (2024)
مصطلحات موضوعية: Science
وصف الملف: electronic resource
Relation: https://doaj.org/toc/2052-4463
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2دورية أكاديمية
المؤلفون: María Agustina Ricci Lara, Rodrigo Echeveste, Enzo Ferrante
المصدر: Nature Communications, Vol 13, Iss 1, Pp 1-6 (2022)
مصطلحات موضوعية: Science
وصف الملف: electronic resource
Relation: https://doaj.org/toc/2041-1723
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3دورية أكاديمية
المؤلفون: Rodrigo Echeveste, Enzo Ferrante, Diego H. Milone, Inés Samengo
المصدر: Network Neuroscience, Pp 1-17 (2022)
مصطلحات موضوعية: Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571
وصف الملف: electronic resource
Relation: https://doaj.org/toc/2472-1751
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المؤلفون: Victoria Peterson, Vasileios Kokkinos, Enzo Ferrante, Ashley Walton, Timon Merk, Amir Hadanny, Varun Saravanan, Nathaniel Sisterson, Naoir Zaher, Alexandra Urban, R. Mark Richardson
المصدر: Epilepsia.
مصطلحات موضوعية: Neurology, Neurology (clinical)
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المؤلفون: Andana Barrios, Nicolas Gaggion, Natanael Mansilla, Leandro Lucero, Thomas Blein, Céline Sorin, Enzo Ferrante, Martin Crespi, Federico Ariel
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::6d48d42210ef2600f33166a5e0983b1c
https://doi.org/10.1101/2023.04.26.538431 -
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المصدر: IEEE transactions on medical imaging.
مصطلحات موضوعية: FOS: Computer and information sciences, Radiological and Ultrasound Technology, Computer Vision and Pattern Recognition (cs.CV), Computer Science::Computer Vision and Pattern Recognition, Image and Video Processing (eess.IV), FOS: Electrical engineering, electronic engineering, information engineering, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Computer Science - Computer Vision and Pattern Recognition, Electrical Engineering and Systems Science - Image and Video Processing, Electrical and Electronic Engineering, Software, ComputingMethodologies_COMPUTERGRAPHICS, Computer Science Applications
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::62682faf87f79b40784c8918da927c9d
https://pubmed.ncbi.nlm.nih.gov/36423313
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المؤلفون: Georgios Tziritas, Yeonggul Jang, Jin Ma, Fumin Guo, Quanzheng Li, Tiancong Hua, Xiang Li, Lihong Liu, Angélica Atehortúa, James R. Clough, Zhiqiang Hu, Eric Kerfoot, Vicente Grau, Enzo Ferrante, Matthew Ng, Guanyu Yang, Mireille Garreau, Alejandro Debus, Elias Grinias, Jiahui Li, Wufeng Xue, Shuo Li, Wenjun Yan, Ilkay Oksuz, Hao Xu
المساهمون: Shenzhen University, Beijing University of Posts and Telecommunications (BUPT), Peking University [Beijing], King‘s College London, Istanbul Technical University (ITÜ), University of Oxford [Oxford], University of Toronto, Massachusetts General Hospital [Boston], University of Crete [Heraklion] (UOC), Fudan University [Shanghai], Universidad Nacional de Colombia [Bogotà] (UNAL), Laboratoire Traitement du Signal et de l'Image (LTSI), Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National de la Santé et de la Recherche Médicale (INSERM), Centre de Recherche en Information Biomédicale sino-français (CRIBS), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Southeast University [Jiangsu]-Institut National de la Santé et de la Recherche Médicale (INSERM), Yonsei University, Universidad Nacional del Litoral [Santa Fe] (UNL), Laboratory of Image Science and Technology [Nanjing] (LIST), Southeast University [Jiangsu]-School of Computer Science and Engineering, University of Western Ontario (UWO), The paper is partially supported by the Natural Science Foundation of China under Grants 61801296. The workof Eric Kerfoot was supported by an EPSRC programmeGrant (EP/P001009/1) and the Wellcome EPSRC Centre for Medical Engineering at the School of Biomedical Engineering and Imaging Sciences, Kings College London (WT203148/Z/16/Z). The work of Angelica Atehortua was supported by Colciencias-Colombia, Grant No. 647 (2015 call for National PhD studies) and Université de Rennes 1. The work of Alejandro Debus was supported by the Santa Fe Science, Technology and Innovation Agency (AS ACTEI), Government of the Province of Santa Fe, through Project AC-00010-18,Resolution N 117/14., University of Oxford, Université de Rennes (UR)-Institut National de la Santé et de la Recherche Médicale (INSERM), Université de Rennes (UR)-Southeast University [Jiangsu]-Institut National de la Santé et de la Recherche Médicale (INSERM), Jonchère, Laurent
المصدر: IEEE Journal of Biomedical and Health Informatics
IEEE Journal of Biomedical and Health Informatics, Institute of Electrical and Electronics Engineers, 2021, 25 (9), pp.3541-3553. ⟨10.1109/JBHI.2021.3064353⟩
IEEE J Biomed Health Inform
IEEE Journal of Biomedical and Health Informatics, 2021, 25 (9), pp.3541-3553. ⟨10.1109/JBHI.2021.3064353⟩مصطلحات موضوعية: Short axis, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, Computer science, Heart Ventricles, Magnetic Resonance Imaging, Cine, Article, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, 0302 clinical medicine, [SDV.MHEP.CSC]Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular system, Health Information Management, medicine, Humans, Segmentation, Electrical and Electronic Engineering, [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing, Ground truth, Cardiac cycle, business.industry, Heart, Pattern recognition, Image segmentation, Magnetic Resonance Imaging, Regression, [SDV.MHEP.CSC] Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular system, Computer Science Applications, [SDV.IB.IMA] Life Sciences [q-bio]/Bioengineering/Imaging, medicine.anatomical_structure, Ventricle, 030220 oncology & carcinogenesis, Artificial intelligence, business, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, Cardiac phase, Biotechnology
وصف الملف: application/pdf
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::00c812f31838dbb9f032c46d1d601ad4
https://doi.org/10.1109/jbhi.2021.3064353
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المؤلفون: César E. Martínez, Enzo Ferrante, Agostina J. Larrazabal, Ben Glocker
المصدر: IEEE Transactions on Medical Imaging. 39:3813-3820
مصطلحات موضوعية: FOS: Computer and information sciences, Computer Science - Machine Learning, Computer science, Computer Vision and Pattern Recognition (cs.CV), Noise reduction, cs.LG, Computer Science - Computer Vision and Pattern Recognition, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Convolutional neural network, 09 Engineering, 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, Segmentation, Electrical and Electronic Engineering, cs.CV, Radiological and Ultrasound Technology, Pixel, business.industry, Image and Video Processing (eess.IV), Nonlinear dimensionality reduction, Brain, Pattern recognition, Image segmentation, Electrical Engineering and Systems Science - Image and Video Processing, Magnetic Resonance Imaging, Computer Science Applications, Random forest, Nuclear Medicine & Medical Imaging, Computer Science::Computer Vision and Pattern Recognition, eess.IV, Embedding, Neural Networks, Computer, 08 Information and Computing Sciences, Artificial intelligence, business, Algorithms, Software
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::daf6eed498afbedbf79ea0cb83e12faf
https://doi.org/10.1109/tmi.2020.3005297
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المصدر: GigaScience
مصطلحات موضوعية: Machine Learning, AcademicSubjects/SCI02254, Commentary, AcademicSubjects/SCI00960, fairness, deep learning, Animals, Parasites, Health Informatics, Computer Science Applications
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3fb2b28c6f873b36f81c765614984a5a
https://doi.org/10.1093/gigascience/giab086 -
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المؤلفون: Ute Schäfer, Gord von Campe, Yuan Jin, Hans Lamecker, Bomin Wang, Michal Spanel, Christian Doenitz, Heiko Ramm, Ulrike Zefferer, Matthias Josef Eder, Pedro Pimentel, Angelika Szengel, Adam Herout, Victor Alves, Oldřich Kodym, Franco Matzkin, Jan Egger, Moritz Ehlke, Zachary Fishman, James G. Mainprize, Ben Glocker, Stefan Zachow, Jianning Li, Virginia F. J. Newcombe, David G. Ellis, Dieter Schmalstieg, Haochen Shi, Enzo Ferrante, Karin Pistracher, Zhi Liu, Antonio Pepe, Bjoern H. Menze, Michele R. Aizenberg, Amirhossein Bayat, Christina Gsaxner, Suprosanna Shit, Michael Hardisty, Laura Estacio, Xiaojun Chen
المصدر: IEEE transactions on medical imaging. 40(9)
مصطلحات موضوعية: Radiological and Ultrasound Technology, business.industry, Computer science, Deep learning, medicine.medical_treatment, Skull, MEDLINE, Prostheses and Implants, Data science, Cranioplasty, Computer Science Applications, Fully automated, Autoimplant, Medical imaging, medicine, Artificial intelligence, Electrical and Electronic Engineering, business, Software, Cranial implant
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ff2934f3650aab99acde6ea2430dd90f
https://pubmed.ncbi.nlm.nih.gov/33939608
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