المؤلفون: Albà, Xènia

المساهمون: University/Department: Universitat Pompeu Fabra. Departament de Tecnologies de la Informació i les Comunicacions

Thesis Advisors: Frangi Caregnato, Alejandro, Lekadir, Karim, Figueras, Rosa M.

المصدر: TDX (Tesis Doctorals en Xarxa)

مصطلحات موضوعية: Imatge mèdica, Imatges per ressonància magnètica, Estudis a gran escala, Segmentació cardíaca, Models estadístics de forma, Anàlisi automàtica de la imatge, Segmentació amb talls de gràfics, Medical imaging, Magnetic resonance imaging, Large-scale studies, Cardiac segmentation, Statistical shape models, Automatic image parsing, Segmentation with graph cuts

وصف الملف: application/pdf

URL الوصول: http://hdl.handle.net/10803/403063

المؤلفون: Krittanat Sutassananon, Worapan Kusakunniran, Mehmet Orgun, Thanongchai Siriapisith

المصدر: Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)

مصطلحات موضوعية: Data augmentation, Convolutional neural networks, Cardiac segmentation, Volumetric data, Medicine, Science

وصف الملف: electronic resource

Relation: https://doaj.org/toc/2045-2322

URL الوصول: https://doaj.org/article/f51f7ad046d54b8ca0649cd095fddd8e

المؤلفون: Tobón Gómez, Catalina

المساهمون: University/Department: Universitat Pompeu Fabra. Departament de Tecnologies de la Informació i les Comunicacions

Thesis Advisors: Frangi Caregnato, Alejandro

المصدر: TDX (Tesis Doctorals en Xarxa)

مصطلحات موضوعية: Cardiovascular disease, Cardiovascular imaging, Multimodal imaging, Gated Single Photon Emission Computed Tomography, Magnetic Resonance Imaging, Imaging acquistion simulation, Statistical shape models, 3D Active Shape Models (ASMs), Automatic Construction of ASMs, Cardiac Segmentation, Cardiac MRI simulation, XCAT Phantom, Reliability training, Sistema cardiovascular -- Malalties, Ressonància magnètica nuclear, Diagnòstic per la imatge

Time: 616.1

وصف الملف: application/pdf

URL الوصول: http://hdl.handle.net/10803/37473

المؤلفون: Yuxin Luo, Yu Fang, Guofei Zeng, Yibin Lu, Li Du, Lisha Nie, Pu-Yeh Wu, Dechuan Zhang, Longling Fan

المصدر: AIMS Mathematics, Vol 9, Iss 4, Pp 8814-8833 (2024)

مصطلحات موضوعية: magnetic resonance imaging, cardiac segmentation, fuzzy information, deep learning, attention mechanism, dynamic convolution, Mathematics, QA1-939

وصف الملف: electronic resource

Relation: https://doaj.org/toc/2473-6988

URL الوصول: https://doaj.org/article/a05e4d0e950241ff9fe69222dc08ad3c

المؤلفون: Gilles Van De Vyver, Sarina Thomas, Guy Ben-Yosef, Sindre Hellum Olaisen, Havard Dalen, Lasse Lovstakken, Erik Smistad

المصدر: IEEE Access, Vol 12, Pp 33876-33888 (2024)

مصطلحات موضوعية: Cardiac segmentation, graph convectional network, robust segmentation, ultrasound, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/10458930/; https://doaj.org/toc/2169-3536

URL الوصول: https://doaj.org/article/95877fa9bb5740bf9e221a3d19d9c19c

المؤلفون: Italo Francyles Santos da Silva, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, Marcelo Gattass, António Manuel Cunha

المصدر: Applied Sciences, Vol 14, Iss 16, p 7352 (2024)

مصطلحات موضوعية: cardiac segmentation, magnetic resonance imaging, fully convolutional networks, ACDC dataset, M&Ms dataset, deep learning, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

وصف الملف: electronic resource

Relation: https://www.mdpi.com/2076-3417/14/16/7352; https://doaj.org/toc/2076-3417

URL الوصول: https://doaj.org/article/37e36707c502468cbe7b16c2a677a831

المؤلفون: Yunhui Zheng, Zhiyong Wu, Fengna Ji, Lei Du, Zhenyu Yang

المصدر: Journal of Imaging, Vol 10, Iss 9, p 206 (2024)

مصطلحات موضوعية: artificial intelligence, cardiac segmentation, deep learning, pixel classification, model compression, Photography, TR1-1050, Computer applications to medicine. Medical informatics, R858-859.7, Electronic computers. Computer science, QA75.5-76.95

وصف الملف: electronic resource

Relation: https://www.mdpi.com/2313-433X/10/9/206; https://doaj.org/toc/2313-433X

URL الوصول: https://doaj.org/article/612e327dd8b34ad0b622058fead36bb2

المؤلفون: Bo Chen, Yongbo Li, Jiacheng Liu, Fei Yang, Lei Zhang

المصدر: Journal of Imaging, Vol 10, Iss 6, p 135 (2024)

مصطلحات موضوعية: cardiac segmentation, medical image, multi-head self-attention mechanism, multi-scale, dual model, Photography, TR1-1050, Computer applications to medicine. Medical informatics, R858-859.7, Electronic computers. Computer science, QA75.5-76.95

وصف الملف: electronic resource

Relation: https://www.mdpi.com/2313-433X/10/6/135; https://doaj.org/toc/2313-433X

URL الوصول: https://doaj.org/article/147d5893313843d3b593a4adf9687a9d

المؤلفون: Vernemmen, Ingrid, Van Steenkiste, Glenn, Hauspie, Stijn, De Lange, Lisa, Buschmann, Eva, Schauvliege, Stijn, Van Den Broeck, Wim, Decloedt, Annelies, Vanderperren, Katrien, van Loon, Gunther

المصدر: JOURNAL OF VETERINARY CARDIOLOGY ; ISSN: 1760-2734 ; ISSN: 1875-0834

مصطلحات موضوعية: Veterinary Sciences, Angiography, cardiac segmentation, heart phantom, 3D printing, in silico cardiac model, PERCUTANEOUS TRANSCATHETER CLOSURE, PATENT DUCTUS-ARTERIOSUS, AORTO-CARDIAC FISTULA, ECHOCARDIOGRAPHY, ANEURYSM, ANATOMY, HORSES

وصف الملف: application/vnd.openxmlformats-officedocument.wordprocessingml.document

Relation: https://biblio.ugent.be/publication/01HHP7W9W5X60YKV9WC1QME8WD; http://doi.org/10.1016/j.jvc.2023.11.014; https://biblio.ugent.be/publication/01HHP7W9W5X60YKV9WC1QME8WD/file/01HHP8SWRT1C4EYWK86YQBSYM3

الاتاحة: https://biblio.ugent.be/publication/01HHP7W9W5X60YKV9WC1QME8WD
http://hdl.handle.net/1854/LU-01HHP7W9W5X60YKV9WC1QME8WD
https://doi.org/10.1016/j.jvc.2023.11.014
https://biblio.ugent.be/publication/01HHP7W9W5X60YKV9WC1QME8WD/file/01HHP8SWRT1C4EYWK86YQBSYM3

المؤلفون: Arafati, Arghavan, Hu, Peng, Finn, J Paul, Rickers, Carsten, Cheng, Andrew L, Jafarkhani, Hamid, Kheradvar, Arash

المصدر: Cardiovascular diagnosis and therapy. 9(Suppl 2)

مصطلحات موضوعية: Cardiac MRI, artificial intelligence, cardiac segmentation, congenital heart disease, deep learning, Bioengineering, Biomedical Imaging, Cardiovascular, Heart Disease, Pediatric, 4.2 Evaluation of markers and technologies, Detection, screening and diagnosis

وصف الملف: application/pdf

URL الوصول: https://escholarship.org/uc/item/6x73f9vc

المؤلفون: Marco Penso, Mario Babbaro, Sara Moccia, Marco Guglielmo, Maria Ludovica Carerj, Carlo Maria Giacari, Mattia Chiesa, Riccardo Maragna, Mark G. Rabbat, Andrea Barison, Nicola Martini, Mauro Pepi, Enrico G. Caiani, Gianluca Pontone

المصدر: Journal of Cardiovascular Magnetic Resonance, Vol 24, Iss 1, Pp 1-14 (2022)

مصطلحات موضوعية: Deep learning, Cardiac segmentation, Cardiac magnetic resonance, Pacemaker, Cardioverter-defibrillators, Susceptibility artifacts, Diseases of the circulatory (Cardiovascular) system, RC666-701

وصف الملف: electronic resource

Relation: https://doaj.org/toc/1532-429X

URL الوصول: https://doaj.org/article/9ca7c5b138ee4f09907c31f05b846d13

المؤلفون: Ling, Hang Jung, Painchaud, Nathan, Courand, Pierre-Yves, Jodoin, Pierre-Marc, Garcia, Damien, Bernard, Olivier

المساهمون: Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Département d'informatique Sherbrooke (UdeS), Faculté des sciences Sherbrooke (UdeS), Université de Sherbrooke (UdeS)-Université de Sherbrooke (UdeS), Modeling & analysis for medical imaging and Diagnosis (MYRIAD), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Hôpital de la Croix-Rousse CHU - HCL, Hospices Civils de Lyon (HCL)

المصدر: Functional Imaging and Modeling of the Heart ; https://hal.science/hal-04087268 ; Functional Imaging and Modeling of the Heart, Jun 2023, Lyon, France

مصطلحات موضوعية: Ultrasound, cardiac segmentation, temporal segmentation, deep learning, CNN, [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG], [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]

جغرافية الموضوع: Lyon, France

Relation: hal-04087268; https://hal.science/hal-04087268; https://hal.science/hal-04087268v2/document; https://hal.science/hal-04087268v2/file/Extraction%20of%20volumetric%20indices%20from%20echocardiography%20-%20which%20deep%20learning%20solution%20for%20clinical%20use.pdf

الاتاحة: https://hal.science/hal-04087268
https://hal.science/hal-04087268v2/document
https://hal.science/hal-04087268v2/file/Extraction%20of%20volumetric%20indices%20from%20echocardiography%20-%20which%20deep%20learning%20solution%20for%20clinical%20use.pdf

المؤلفون: Vernemmen, Ingrid, Hauspie, Stijn, Van Steenkiste, Glenn, Buschmann, Eva, Vanderperren, Katrien, van Loon, Gunther

المصدر: Joint 3R Symposium, Abstracts

مصطلحات موضوعية: Veterinary Sciences, angiography, cardiac segmentation, heart phantom, 3D printing, in silico cardiac model

وصف الملف: application/pdf

Relation: https://biblio.ugent.be/publication/01HG8B4FXZXZ1DVBDAYE3W1HYW; https://biblio.ugent.be/publication/01HG8B4FXZXZ1DVBDAYE3W1HYW/file/01HG8BVK3XS56NPBZ4RM2GQQ6T

الاتاحة: https://biblio.ugent.be/publication/01HG8B4FXZXZ1DVBDAYE3W1HYW
http://hdl.handle.net/1854/LU-01HG8B4FXZXZ1DVBDAYE3W1HYW
https://biblio.ugent.be/publication/01HG8B4FXZXZ1DVBDAYE3W1HYW/file/01HG8BVK3XS56NPBZ4RM2GQQ6T

المؤلفون: András Kalapos, Liliána Szabó, Zsófia Dohy, Máté Kiss, Béla Merkely, Bálint Gyires-Tóth, Hajnalka Vágó

المصدر: Frontiers in Cardiovascular Medicine, Vol 10 (2023)

مصطلحات موضوعية: T1 and T2 mapping, MRI, cardiac segmentation, deep learning, artificial intelligence, Diseases of the circulatory (Cardiovascular) system, RC666-701

وصف الملف: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fcvm.2023.1147581/full; https://doaj.org/toc/2297-055X

URL الوصول: https://doaj.org/article/1e85203c93ac4279bef951a2275b3bf0

المؤلفون: Al Khalil, Yasmina, Amirrajab, Sina, Lorenz, Cristian, Weese, Jürgen, Pluim, Josien, Breeuwer, Marcel

المصدر: Al Khalil , Y , Amirrajab , S , Lorenz , C , Weese , J , Pluim , J & Breeuwer , M 2023 , ' Reducing segmentation failures in cardiac MRI via late feature fusion and GAN-based augmentation ' , Computers in Biology and Medicine , vol. 161 , 106973 . https://doi.org/10.1016/j.compbiomed.2023.106973

مصطلحات موضوعية: Cardiac segmentation, GANs, Image synthesis, Late fusion, Outlier failure reduction

وصف الملف: application/pdf

الاتاحة: https://research.tue.nl/en/publications/ac2f2e2c-bf56-4d5f-b34d-0ac325dc1f76
https://doi.org/10.1016/j.compbiomed.2023.106973
https://pure.tue.nl/ws/files/299437529/1_s2.0_S0010482523004389_main.pdf
http://www.scopus.com/inward/record.url?scp=85159584695&partnerID=8YFLogxK

المؤلفون: Cervantes-Guzmán, Alan, McPherson, Kyle, Olveres, Jimena, Moreno-García, Carlos Francisco, Robles, Fabián Torres, Elyan, Eyad, Escalante-Ramírez, Boris

مصطلحات موضوعية: Cardiovascular diseases, Mexican population, Causes of death, Cardiac segmentation algorithm, Health & Wellbeing

Relation: https://rgu-repository.worktribe.com/output/2125454; https://rgu-repository.worktribe.com/file/2125454/1/CERVANTES-GUZMAN%202023%20Robust%20cardiac%20segmentation%20%28VOR%29

الاتاحة: https://doi.org/10.1371/journal.pone.0293560
https://rgu-repository.worktribe.com/file/2125454/1/CERVANTES-GUZMAN%202023%20Robust%20cardiac%20segmentation%20%28VOR%29
https://rgu-repository.worktribe.com/output/2125454

المؤلفون: Chen, Boqi, Thandiackal, Kevin, Pati, Pushpak, Goksel, Orcun, id_orcid:0 000-0002-8639-7373

المصدر: Medical Image Analysis, 89

مصطلحات موضوعية: Unsupervised domain adaptation, Continual learning, Optic disc segmentation, Cardiac segmentation, Prostate segmentation

وصف الملف: application/application/pdf

Relation: info:eu-repo/semantics/altIdentifier/wos/001122641500001; http://hdl.handle.net/20.500.11850/629023

الاتاحة: https://hdl.handle.net/20.500.11850/629023
https://doi.org/10.3929/ethz-b-000629023

المؤلفون: Xiaochang Wu, Jiarui Liang, Yunxia Zhang, Xiaolin Tian

المصدر: Applied Sciences, Vol 13, Iss 8, p 5000 (2023)

مصطلحات موضوعية: Position and Direction Network, cardiac segmentation, X-ray chest radiograph, image segmentation, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

Relation: https://www.mdpi.com/2076-3417/13/8/5000; https://doaj.org/toc/2076-3417; https://doaj.org/article/dea1e5f5bebc4605896138ad3bfe67df

الاتاحة: https://doi.org/10.3390/app13085000
https://doaj.org/article/dea1e5f5bebc4605896138ad3bfe67df

المؤلفون: Galati, Francesco, Zuluaga, Maria

المساهمون: Eurecom Sophia Antipolis, ANR-19-P3IA-0002,3IA@cote d'azur,3IA Côte d'Azur(2019)

المصدر: Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge ; https://hal.archives-ouvertes.fr/hal-03590799 ; Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge, 13131, Springer International Publishing, pp.374-382, 2022, Lecture Notes in Computer Science, ⟨10.1007/978-3-030-93722-5_40⟩

مصطلحات موضوعية: Out-of-Distribution Detection, Quality Control, Semisupervised Model Refinement, Cardiac Segmentation, STACOM, [INFO.INFO-IA]Computer Science [cs]/Computer Aided Engineering

Relation: hal-03590799; https://hal.archives-ouvertes.fr/hal-03590799; https://hal.archives-ouvertes.fr/hal-03590799/document; https://hal.archives-ouvertes.fr/hal-03590799/file/M_Ms%282%29.pdf

الاتاحة: https://hal.archives-ouvertes.fr/hal-03590799
https://hal.archives-ouvertes.fr/hal-03590799/document
https://hal.archives-ouvertes.fr/hal-03590799/file/M_Ms%282%29.pdf
https://doi.org/10.1007/978-3-030-93722-5_40

المؤلفون: Bustamante, Mariana, 1983, Gupta, Vikas, Forsberg, Daniel, 1981, Carlhäll, Carljohan, 1973, Engvall, Jan, 1953, Ebbers, Tino, 1972

المصدر: Medical Image Analysis. 49:128-140

مصطلحات موضوعية: 4D Flow MRI, Cardiac segmentation, Multi-atlas segmentation, Heart, Magnetic resonance imaging, Automatic segmentations, Directional velocities, Hemodynamic parameters, Left ventricular function, Segmentation methods, Semiautomatic methods, Steady state free precessions, Image segmentation, adult, anatomy, article, cohort analysis, controlled study, error, female, heart cycle, heart left ventricle function, human, human tissue, major clinical study, male, motion, nuclear magnetic resonance imaging, steady state, thickness, volunteer

وصف الملف: electronic

URL الوصول: https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-150788
https://liu.diva-portal.org/smash/get/diva2:1243429/FULLTEXT01.pdf