المؤلفون: Marica Muffoletto, Hao Xu, Richard Burns, Avan Suinesiaputra, PhD, Anastasia Nasopoulou, PhD, MSc, BMSc, Karl P. Kunze, Radhouene Neji, PhD, Steffen Petersen, MBBS, DPhil, Steven A. Niederer, Daniel Reuckert, Alistair Young, PhD

المصدر: Journal of Cardiovascular Magnetic Resonance, Vol 26, Iss , Pp 100659- (2024)

مصطلحات موضوعية: Diseases of the circulatory (Cardiovascular) system, RC666-701

وصف الملف: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S1097664724006501; https://doaj.org/toc/1097-6647

URL الوصول: https://doaj.org/article/8a7b34c4fbc64b8f8cd10d05e48b1c47

المؤلفون: Shaheim Ogbomo-Harmitt, Marica Muffoletto, Aya Zeidan, Ahmed Qureshi, Andrew P. King, Oleg Aslanidi

المصدر: Frontiers in Physiology, Vol 14 (2023)

مصطلحات موضوعية: atrial fibrillation, catheter ablation, medical imaging, cardiac modelling, deep learning, interpretability, Physiology, QP1-981

وصف الملف: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fphys.2023.1054401/full; https://doaj.org/toc/1664-042X

URL الوصول: https://doaj.org/article/7257b90d551842a0b2d6a7b633acea69

المؤلفون: Laila Muizniece, Adrian Bertagnoli, Ahmed Qureshi, Aya Zeidan, Aditi Roy, Marica Muffoletto, Oleg Aslanidi

المصدر: Frontiers in Physiology, Vol 12 (2021)

مصطلحات موضوعية: atrial fibrillation, catheter ablation, patient imaging, reinforcement learning, deep learning, Physiology, QP1-981

وصف الملف: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fphys.2021.799585/full; https://doaj.org/toc/1664-042X

URL الوصول: https://doaj.org/article/db1d07d310534ab99f4fd4cd0a9edb8f

المؤلفون: Laila Muizniece, Adrian Bertagnoli, Ahmed Qureshi, Aya Zeidan, Aditi Roy, Marica Muffoletto, Oleg Aslanidi

المصدر: Frontiers in Physiology, Vol 12 (2021)

مصطلحات موضوعية: atrial fibrillation, catheter ablation, patient imaging, reinforcement learning, deep learning, Physiology, QP1-981

وصف الملف: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fphys.2021.733139/full; https://doaj.org/toc/1664-042X

URL الوصول: https://doaj.org/article/bf2617f95aa8437db656e5dc4257b67b

المؤلفون: Marica Muffoletto, Ahmed Qureshi, Aya Zeidan, Laila Muizniece, Xiao Fu, Jichao Zhao, Aditi Roy, Paul A. Bates, Oleg Aslanidi

المصدر: Frontiers in Physiology, Vol 12 (2021)

مصطلحات موضوعية: atrial fibrillation, patient imaging, catheter ablation, computational modelling, deep learning, classification algorithm, Physiology, QP1-981

وصف الملف: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fphys.2021.674106/full; https://doaj.org/toc/1664-042X

URL الوصول: https://doaj.org/article/ccd8b86af7a246cdb23e7a9e83729aac

المؤلفون: Shaheim Ogbomo-Harmitt, Marica Muffoletto, Aya Zeidan, Ahmed Qureshi, Andrew P. King, Oleg Aslanidi

مصطلحات موضوعية: Physiology, Exercise Physiology, Nutritional Physiology, Reproduction, Cell Physiology, Systems Physiology, Animal Physiology - Biophysics, Animal Physiology - Cell, Animal Physiology - Systems, Comparative Physiology, Physiology not elsewhere classified, atrial fibrillation, catheter ablation, medical imaging, cardiac modelling, deep learning, interpretability

Relation: https://figshare.com/articles/dataset/DataSheet2_Exploring_interpretability_in_deep_learning_prediction_of_successful_ablation_therapy_for_atrial_fibrillation_pdf/22267462

الاتاحة: https://doi.org/10.3389/fphys.2023.1054401.s002
https://figshare.com/articles/dataset/DataSheet2_Exploring_interpretability_in_deep_learning_prediction_of_successful_ablation_therapy_for_atrial_fibrillation_pdf/22267462

المؤلفون: Marica Muffoletto, Hao Xu, Hugo Barbaroux, Karl P. Kunze, Radhouene Neji, René Botnar, Claudia Prieto, Daniel Rueckert, Alistair Young

المصدر: Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers ISBN: 9783031234422

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::943afc798305aef0a03b3aa026c2f904
https://doi.org/10.1007/978-3-031-23443-9_9

المؤلفون: Marica Muffoletto (10876317), Ahmed Qureshi (6084611), Aya Zeidan (10876320), Laila Muizniece (10876323), Xiao Fu (74654), Jichao Zhao (5476649), Aditi Roy (4494268), Paul A. Bates (126749), Oleg Aslanidi (5815946)

مصطلحات موضوعية: Physiology, Exercise Physiology, Nutritional Physiology, Reproduction, Cell Physiology, Systems Physiology, Animal Physiology - Biophysics, Animal Physiology - Cell, Animal Physiology - Systems, Comparative Physiology, Physiology not elsewhere classified, atrial fibrillation, patient imaging, catheter ablation, computational modelling, deep learning, classification algorithm

Relation: https://figshare.com/articles/media/Video_2_Toward_Patient-Specific_Prediction_of_Ablation_Strategies_for_Atrial_Fibrillation_Using_Deep_Learning_MP4/14678340

الاتاحة: https://doi.org/10.3389/fphys.2021.674106.s003

المؤلفون: Marica Muffoletto (10876317), Ahmed Qureshi (6084611), Aya Zeidan (10876320), Laila Muizniece (10876323), Xiao Fu (74654), Jichao Zhao (5476649), Aditi Roy (4494268), Paul A. Bates (126749), Oleg Aslanidi (5815946)

مصطلحات موضوعية: Physiology, Exercise Physiology, Nutritional Physiology, Reproduction, Cell Physiology, Systems Physiology, Animal Physiology - Biophysics, Animal Physiology - Cell, Animal Physiology - Systems, Comparative Physiology, Physiology not elsewhere classified, atrial fibrillation, patient imaging, catheter ablation, computational modelling, deep learning, classification algorithm

Relation: https://figshare.com/articles/dataset/Data_Sheet_1_Toward_Patient-Specific_Prediction_of_Ablation_Strategies_for_Atrial_Fibrillation_Using_Deep_Learning_PDF/14678334

الاتاحة: https://doi.org/10.3389/fphys.2021.674106.s001

المؤلفون: Marica Muffoletto, Marta Varela, Paul A. Bates, Xiao Fu, Aditi Roy, Oleg Aslanidi

المساهمون: Baruzzo, Giacomo, Daberdaku, Sebastian, Di Camillo, Barbara, Furini, Simone, Giordano, Emanuele Domenico, Nicosia, Giuseppe

المصدر: CIBCB
Muffoletto, M, Fu, X, Roy, A, Varela, M, Bates, P A & Aslanidi, O V 2019, Development of a Deep Learning Method to Predict Optimal Ablation Patterns for Atrial Fibrillation . in G Baruzzo, S Daberdaku, B Di Camillo, S Furini, E D Giordano & G Nicosia (eds), 2019 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2019 ., 8791475, Institute of Electrical and Electronics Engineers Inc., 16th IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2019, Certosa di Pontignano, Siena, Italy, 9/07/2019 . https://doi.org/10.1109/CIBCB.2019.8791475

مصطلحات موضوعية: medicine.medical_specialty, tissue simulation, medicine.medical_treatment, Population, Catheter ablation, 030204 cardiovascular system & hematology, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, 0302 clinical medicine, Internal medicine, catheter ablation, medicine, atrial fibrillation, education, education.field_of_study, Computational model, Artificial neural network, business.industry, Deep learning, deep learning, Cardiac arrhythmia, Atrial fibrillation, medicine.disease, Ablation, therapy optimisation, Cardiology, Artificial intelligence, business

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c261309cd71a30b472a289d64609839d
https://doi.org/10.1109/cibcb.2019.8791475

المؤلفون: David Stojanovski, Uxio Hermida, Marica Muffoletto, Pablo Lamata, Arian Beqiri, Alberto Gomez

المصدر: King's College London
Simplifying Medical Ultrasound ISBN: 9783031169014

مصطلحات موضوعية: FOS: Computer and information sciences, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, Computer Vision and Pattern Recognition (cs.CV), Image and Video Processing (eess.IV), FOS: Electrical engineering, electronic engineering, information engineering, Computer Science - Computer Vision and Pattern Recognition, Electrical Engineering and Systems Science - Image and Video Processing

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d333baa250760a73447240de85bef4d2
https://kclpure.kcl.ac.uk/portal/en/publications/efficient-pix2vox-for-3d-cardiac-reconstruction-from-2d-echo-views(19cb2bbb-905f-4f80-bccf-5b0784ed3bc1).html

المؤلفون: Shaheim Ogbomo-Harmitt, Marica Muffoletto, Aya Zeidan, Ahmed Qureshi, Andrew King, Oleg Aslanidi

المصدر: King's College London

مصطلحات موضوعية: General Engineering, General Earth and Planetary Sciences, Cardiology and Cardiovascular Medicine, General Environmental Science

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a233e335e60716cad9a7d9823e36509a
https://kclpure.kcl.ac.uk/portal/en/publications/can-artificial-intelligence-prediction-of-successful-atrial-fibrillation-catheter-ablation-therapy-be-interpretable(f457dfde-e9cd-4bea-919e-ea693e0b57c8).html