المؤلفون: CHANG Bo, SUN Haoyun, GAO Qingyu, WANG Lijia

المصدر: Chinese Journal of Magnetic Resonance, Vol 41, Iss 2, Pp 224-244 (2024)

مصطلحات موضوعية: cardiac image segmentation, deep learning, u-net, fcn, Electricity and magnetism, QC501-766

وصف الملف: electronic resource

Relation: http://121.43.60.238/bpxzz/article/2024/1000-4556/1000-4556-41-2-224.shtml; https://doaj.org/toc/1000-4556

URL الوصول: https://doaj.org/article/eb31fb14f5c74ee4ab1a3b7f3e7de8b2

المؤلفون: Clemens Ammann, Thomas Hadler, Jan Gröschel, Christoph Kolbitsch, Jeanette Schulz-Menger

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

مصطلحات موضوعية: cardiovascular magnetic resonance, MRI, artificial intelligence, deep learning, cardiac image segmentation, cardiac function quantification, Diseases of the circulatory (Cardiovascular) system, RC666-701

وصف الملف: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fcvm.2023.1118499/full; https://doaj.org/toc/2297-055X

URL الوصول: https://doaj.org/article/482dbc4a8301408b891c7814c7e7a49d

المؤلفون: Rachana Pandey, Monika Choudhary

المساهمون: Rachana Pandey

المصدر: International Journal of Recent Technology and Engineering (IJRTE), 11(6), 39-49, (2023-03-30)

مصطلحات موضوعية: Machine Learning, Deep Learning, Cardiac Image Segmentation, Analysis, Diagnosis, Interpretation

Relation: https://doi.org/10.35940/ijrte.F7480.0311623; oai:zenodo.org:7974071

الاتاحة: https://doi.org/10.35940/ijrte.F7480.0311623

المؤلفون: Ammann, Clemens, Hadler, Thomas, Gröschel, Jan, Kolbitsch, Christoph, Schulz-Menger, Jeanette

مصطلحات موضوعية: cardiovascular magnetic resonance, MRI, artificial intelligence, deep learning, cardiac image segmentation, cardiac function quantification, quality control, ddc:610

وصف الملف: application/pdf

Relation: https://refubium.fu-berlin.de/handle/fub188/40826; http://dx.doi.org/10.17169/refubium-40547

الاتاحة: https://refubium.fu-berlin.de/handle/fub188/40826
https://doi.org/10.17169/refubium-40547
https://doi.org/10.3389/fcvm.2023.1118499

المؤلفون: Beetz, Marcel, Corral Acero, Jorge, Grau, Vicente

مصطلحات موضوعية: Multi-view cascade, Crossover cascade, Fourier domain adaptation, Attention U-net, Multi-domain cardiac image segmentation, Histogram matching, Deep learning, Cardiac MR

Relation: https://zenodo.org/communities/eu; oai:zenodo.org:6324370

الاتاحة: https://doi.org/10.1007/978-3-030-93722-5_35

المؤلفون: Sendra-Balcells, C., Campello, Victor M, Martín-Isla, C., Viladés Medel, David, Descalzo, Martin, Guala, Andrea, Rodriguez-Palomares, Jose F, Lekadir, K., Universitat Autònoma de Barcelona

مصطلحات موضوعية: Cardiac image segmentation, Contrast-enhanced imaging, Data augmentation, Deep learning, Domain generalization, Transfer learning

وصف الملف: application/pdf

Relation: Computers in Biology and Medicine; Vol. 149 (october 2022), p. 106052; https://ddd.uab.cat/record/290540; urn:10.1016/j.compbiomed.2022.106052; urn:oai:ddd.uab.cat:290540; urn:scopus_id:85138444218; urn:articleid:18790534v149p106052; urn:pmid:36055164

الاتاحة: https://ddd.uab.cat/record/290540

المؤلفون: Francesco Galati, Sébastien Ourselin, Maria A. Zuluaga

المصدر: Applied Sciences; Volume 12; Issue 8; Pages: 3936

مصطلحات موضوعية: cardiac image segmentation, reliability and robustness, deep learning, cardiac magnetic resonance imaging

جغرافية الموضوع: agris

وصف الملف: application/pdf

Relation: Applied Biosciences and Bioengineering; https://dx.doi.org/10.3390/app12083936

الاتاحة: https://doi.org/10.3390/app12083936

المؤلفون: Yu, Han, Wang, Zidun, Wu, Hao, Zhu, Zhengduo, Wang, Jiaqiu, Fang, Runxing, Wu, Shanglin, Xie, Hujin, Huang, Xianjue, Benitez Mendieta, Jessica, Anbananthan, Haveena, Li, Zhiyong

المصدر: Journal of Biomechanics

مصطلحات موضوعية: Cardiac Image Segmentation, Computed Tomography Angiography, Left Atrial Motion, Left Atrial Strain

Relation: Yu, Han, Wang, Zidun, Wu, Hao, Zhu, Zhengduo, Wang, Jiaqiu, Fang, Runxing, Wu, Shanglin, Xie, Hujin, Huang, Xianjue, Benitez Mendieta, Jessica, Anbananthan, Haveena, & Li, Zhiyong (2024) In-vivo left atrial surface motion and strain measurement using novel mesh regularized image block matching method with 4D-CTA. Journal of Biomechanics, 176, Article number: 112354.; https://eprints.qut.edu.au/252850/; Centre for Biomedical Technologies; Faculty of Engineering; School of Mechanical, Medical & Process Engineering

الاتاحة: https://eprints.qut.edu.au/252850/

المؤلفون: Raul-Ronald Galea, Laura Diosan, Anca Andreica, Loredana Popa, Simona Manole, Zoltán Bálint

المصدر: Applied Sciences, Vol 11, Iss 4, p 1965 (2021)

مصطلحات موضوعية: cardiac image segmentation, deep learning, MRI image analysis, convolutional neuronal networks, artificial intelligence, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

Relation: https://www.mdpi.com/2076-3417/11/4/1965; https://doaj.org/toc/2076-3417; https://doaj.org/article/db29dd5c78de4fab871d306368e68084

الاتاحة: https://doi.org/10.3390/app11041965
https://doaj.org/article/db29dd5c78de4fab871d306368e68084

المؤلفون: Chen Chen, Chen Qin, Huaqi Qiu, Giacomo Tarroni, Jinming Duan, Wenjia Bai, Daniel Rueckert

المصدر: Frontiers in Cardiovascular Medicine, Vol 7 (2020)

مصطلحات موضوعية: artificial intelligence, deep learning, neural networks, cardiac image segmentation, cardiac image analysis, MRI, Diseases of the circulatory (Cardiovascular) system, RC666-701

وصف الملف: electronic resource

Relation: https://www.frontiersin.org/article/10.3389/fcvm.2020.00025/full; https://doaj.org/toc/2297-055X

URL الوصول: https://doaj.org/article/b9ea7fe21bbf470fa7b5194a644e991e

المؤلفون: Von Zuben, Andre

المصدر: Graduate Thesis and Dissertation 2023-2024

مصطلحات موضوعية: "Cardiac image segmentation", "Machine learning", "Anatomically-guided deep learning", "MRI-based geometry generation", "Left ventricle strain estimates", "Gaussian process"

وصف الملف: application/pdf

Relation: https://stars.library.ucf.edu/etd2023/263; https://stars.library.ucf.edu/context/etd2023/article/1024/viewcontent/AndreVonZuben_PhDthesis.pdf

الاتاحة: https://stars.library.ucf.edu/etd2023/263
https://stars.library.ucf.edu/context/etd2023/article/1024/viewcontent/AndreVonZuben_PhDthesis.pdf

المؤلفون: Amirrajab, Sina, Al Khalil, Yasmina, Pluim, Josien, Breeuwer, Marcel, Scannell, Cian M., Camara, Oscar, Puyol-Antón, Esther, Suinesiaputra, Avan, Young, Alistair, Qin, Chen, Sermesant, Maxime, Wang, Shuo

المساهمون: Medical Image Analysis, EAISI Health, NeuroPlatform

المصدر: Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers: 13th International Workshop, STACOM 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Revised Selected Papers, 466-475
STARTPAGE=466;ENDPAGE=475;TITLE=Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers
Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers ISBN: 9783031234422

مصطلحات موضوعية: Cardiac image segmentation, Respiratory motion artifacts, Quality control, Motion artifact simulation

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c9d835cc130537ded3e0619396af6049
http://www.scopus.com/inward/record.url?scp=85148045577&partnerID=8YFLogxK

المؤلفون: Xulei Yang, Yi Su, Rubing Duan, Haijin Fan, Si Yong Yeo, Calvin Lim, Liang Zhong, Ru San Tan

المصدر: IET Computer Vision, Vol 10, Iss 1, Pp 79-86 (2016)

مصطلحات موضوعية: cardiac image segmentation, random walks, dynamic shape constraint, left ventricle contractile function, cardiovascular disease, cardiac sequences, Computer applications to medicine. Medical informatics, R858-859.7, Computer software, QA76.75-76.765

وصف الملف: electronic resource

Relation: https://doaj.org/toc/1751-9632; https://doaj.org/toc/1751-9640

URL الوصول: https://doaj.org/article/5a3532b9f4224b2c89ee94f7b6e38b7c

المؤلفون: Torres, Rafael Siqueira

Thesis Advisors: Marques, Fátima de Lourdes dos Santos Nunes

مصطلحات موضوعية: Cardiac image segmentation, Frame segmentation semi-automatic segmentation., Imagens de RMN, MR Images, Segmentação de imagens cardíacas, Segmentação por frames, Segmentação semiautomática

وصف الملف: application/pdf

الاتاحة: http://www.teses.usp.br/teses/disponiveis/100/100131/tde-17112017-121645/

المؤلفون: Galati, Francesco, Ourselin, Sébastien, Zuluaga, Maria A.

المساهمون: Galati, Francesco, Ourselin, Sébastien, Zuluaga, Maria A.

المصدر: Applied Sciences, Special Issue Emerging Techniques in Imaging, Modelling and Visualization for Cardiovascular Diagnosis and Therapy, 2022, 12(8), 3936

مصطلحات موضوعية: cardiac image segmentation, reliability and robustness, deep learning, cardiac magnetic resonance imaging

Relation: https://www.eurecom.fr/publication/6864

الاتاحة: https://www.eurecom.fr/publication/6864

المؤلفون: Carla Sendra-Balcells, Víctor M. Campello, Carlos Martín-Isla, David Viladés, Martín L. Descalzo, Andrea Guala, José F. Rodríguez-Palomares, Karim Lekadir

المصدر: COMPUTERS IN BIOLOGY AND MEDICINE
r-IIB SANT PAU. Repositorio Institucional de Producción Científica del Instituto de Investigación Biomédica Sant Pau
instname

مصطلحات موضوعية: FOS: Computer and information sciences, Data augmentation, Computer Vision and Pattern Recognition (cs.CV), Contrast-enhanced imaging, Heart Ventricles, Image and Video Processing (eess.IV), Computer Science - Computer Vision and Pattern Recognition, Health Informatics, Deep learning, Heart, Electrical Engineering and Systems Science - Image and Video Processing, Magnetic Resonance Imaging, Computer Science Applications, Transfer learning, Cardiac image segmentation, Deep Learning, FOS: Electrical engineering, electronic engineering, information engineering, Image Processing, Computer-Assisted, cardiovascular diseases, Domain generalization, Neural Networks, Computer

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fa0624068c2513f2be8b5c010c74dc11
https://pubmed.ncbi.nlm.nih.gov/36055164

المؤلفون: López Pérez, Alejandro Daniel, Sebastián Aguilar, Rafael, Ferrero De Loma-Osorio, José María

المساهمون: Universitat Politècnica de València. Instituto Interuniversitario de Investigación en Bioingeniería y Tecnología Orientada al Ser Humano - Institut Interuniversitari d'Investigació en Bioenginyeria i Tecnologia Orientada a l'Ésser Humà, Universitat Politècnica de València. Departamento de Ingeniería Electrónica - Departament d'Enginyeria Electrònica, Ministerio de Economía y Competitividad, Generalitat Valenciana, Ministerio de Ciencia e Innovación

مصطلحات موضوعية: Cardiac modelling, Three-dimensional (3D) modelling, Computational modelling, Fibre orientation, Cardiac conduction system (CCS), Cardiac image segmentation, Biophysical simulation, Personalisation, Patient-specific modelling, TECNOLOGIA ELECTRONICA

Relation: BioMedical Engineering OnLine; info:eu-repo/grantAgreement/MINECO//TIN2012-37546-C03-01/ES/CORAZON HUMANO COMPLETO FISIOLOGICO VIRTUAL: MEJORAS EN EL TRATAMIENTO DE ARRITMIAS CARDIACAS ORIENTADO A PACIENTE/; info:eu-repo/grantAgreement/MICINN//TIN2011-28067/ES/SIMULACIONES RAPIDAS DE LA ELECTROFISIOLOGIA DEL CORAZON BASADAS EN SEÑALES E IMAGENES PARA LA PLANIFICACION ASISTIDA POR ORDENADOR DE INTERVENCIONES CLINICAS/; info:eu-repo/grantAgreement/GVA//GV%2F2013-001404/; info:eu-repo/grantAgreement/MINECO//BES-2013-064089/ES/BES-2013-064089/; http://dx.doi.org/10.1186/s12938-015-0033-5; urn:issn:1475-925X; http://hdl.handle.net/10251/64928; PMC4424572

الاتاحة: http://hdl.handle.net/10251/64928
https://doi.org/10.1186/s12938-015-0033-5

المؤلفون: Liu, Xiao, Thermos, Spyridon, Chartsias, Agis, O'Neil, Alison, Tsaftaris, Sotirios

المصدر: Liu, X, Thermos, S, Chartsias, A, O'Neil, A & Tsaftaris, S 2021, Disentangled Representations for Domain-generalized Cardiac Segmentation . in STACOM: International Workshop on Statistical Atlases and Computational Models of the Heart : Statistical Atlases and Computational Models of the Heart. M &Ms and EMIDEC Challenges . Lecture Notes in Computer Science, vol. 12592, pp. 187-195, 23rd International Conference on Medical Image Computing and Computer Assisted Intervention, Lima, Peru, 4/10/20 . https://doi.org/10.1007/978-3-030-68107-4_19

مصطلحات موضوعية: Cardiac image segmentation, Domain adaptation, Data augmentation, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Domain generalization, Disentangled factors mixing

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=od______3094::518b391b3ffb80b49cb91a6fd832b8c7
https://hdl.handle.net/20.500.11820/61cf8150-8315-4be2-8452-bac73731bb4e

المؤلفون: Carlos Martín-Isla, José F. Rodríguez Palomares, Andrea Guala, Sergio Escalera, Karim Lekadir

المصدر: MICCAI 2021, 24th International Conference on Medical Image Computing and Computer Assisted Intervention

مصطلحات موضوعية: Cardiac image segmentation, Right ventricle, Generalizable deep learning, Machine/deep learning, Multiview Segmentation

Relation: https://doi.org/10.5281/zenodo.4573983; https://doi.org/10.5281/zenodo.4573984; oai:zenodo.org:4573984

الاتاحة: https://doi.org/10.5281/zenodo.4573984

المؤلفون: Víctor M. Campello, José F. Rodríguez Palomares, Andrea Guala, Mahir Marakas, Matthias Friedrich, Karim Lekadir

المصدر: MICCAI 2020, 23rd International Conference on Medical Image Computing and Computer Assisted Intervention, Lima, Peru, 4-8 October 2020

مصطلحات موضوعية: MICCAI Challenges, Biomedical Challenges, MICCAI, Cardiac image segmentation, Multiple MRI machines, Machine/deep learning

Relation: https://doi.org/10.5281/zenodo.3715889; https://doi.org/10.5281/zenodo.3715890; oai:zenodo.org:3715890

الاتاحة: https://doi.org/10.5281/zenodo.3715890