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Dorina Thanou

Showing results (1-10 of 12) with videos related to

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Medical Image Analysis|February 21, 2021
Combining anatomical and functional networks for neuropathology identification: A case study on autism spectrum disorderSarah Itani, Dorina Thanou
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|August 13, 2019
Graph Transform Optimization with Application to Image CompressionGiulia Fracastoro, Dorina Thanou, Pascal Frossard
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|February 19, 2016
Graph-Based Compression of Dynamic 3D Point Cloud SequencesDorina Thanou, Philip A Chou, Pascal Frossard
International Journal of Cardiology|September 28, 2024
AngioPy Segmentation: An open-source, user-guided deep learning tool for coronary artery segmentationThabo Mahendiran, Dorina Thanou, Ortal Senouf, et al.
IEEE Open Journal of Engineering in Medicine and Biology|November 19, 2024
Anatomy-Informed Multimodal Learning for Myocardial Infarction PredictionIvan-Daniel Sievering, Ortal Senouf, Thabo Mahendiran, et al.
Proceedings of the National Academy of Sciences of the United States of America|August 3, 2022
Trend estimation and short-term forecasting of COVID-19 cases and deaths worldwideEkaterina Krymova, Benjamín Béjar, Dorina Thanou, et al.
Medical Image Analysis|April 30, 2026
Future cardiovascular events prediction from invasive coronary angiography: A graph representation learning perspectiveXiaowu Sun, Theofilos Belmpas, Ortal Senouf, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 3, 2025
CM-UNet: A Self-Supervised Learning-Based Model for Coronary Artery Segmentation in X-Ray AngiographyCamille Challier, Xiaowu Sun, Thabo Mahendiran, et al.
Eurointervention : Journal of Europcr in Collaboration with the Working Group on Interventional Cardiology of the European Society of Cardiology|December 5, 2023
Towards AI-assisted cardiology: a reflection on the performance and limitations of using large language models in clinical decision-makingAdil Salihu, Mehdi Ali Gadiri, Ioannis Skalidis, et al.
The International Journal of Cardiovascular Imaging|October 9, 2025
AI-Driven multi-view learning from CCTA for myocardial infarction diagnosisJakub Gwizdala, Adil Salihu, Ortal Senouf, et al.
Pageof 2

Showing results (1-10 of 12) with videos related to

Sort By:
Pageof 2
Medical Image Analysis|February 21, 2021
Combining anatomical and functional networks for neuropathology identification: A case study on autism spectrum disorderSarah Itani, Dorina Thanou
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|August 13, 2019
Graph Transform Optimization with Application to Image CompressionGiulia Fracastoro, Dorina Thanou, Pascal Frossard
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|February 19, 2016
Graph-Based Compression of Dynamic 3D Point Cloud SequencesDorina Thanou, Philip A Chou, Pascal Frossard
International Journal of Cardiology|September 28, 2024
AngioPy Segmentation: An open-source, user-guided deep learning tool for coronary artery segmentationThabo Mahendiran, Dorina Thanou, Ortal Senouf, et al.
IEEE Open Journal of Engineering in Medicine and Biology|November 19, 2024
Anatomy-Informed Multimodal Learning for Myocardial Infarction PredictionIvan-Daniel Sievering, Ortal Senouf, Thabo Mahendiran, et al.
Proceedings of the National Academy of Sciences of the United States of America|August 3, 2022
Trend estimation and short-term forecasting of COVID-19 cases and deaths worldwideEkaterina Krymova, Benjamín Béjar, Dorina Thanou, et al.
Medical Image Analysis|April 30, 2026
Future cardiovascular events prediction from invasive coronary angiography: A graph representation learning perspectiveXiaowu Sun, Theofilos Belmpas, Ortal Senouf, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 3, 2025
CM-UNet: A Self-Supervised Learning-Based Model for Coronary Artery Segmentation in X-Ray AngiographyCamille Challier, Xiaowu Sun, Thabo Mahendiran, et al.
Eurointervention : Journal of Europcr in Collaboration with the Working Group on Interventional Cardiology of the European Society of Cardiology|December 5, 2023
Towards AI-assisted cardiology: a reflection on the performance and limitations of using large language models in clinical decision-makingAdil Salihu, Mehdi Ali Gadiri, Ioannis Skalidis, et al.
The International Journal of Cardiovascular Imaging|October 9, 2025
AI-Driven multi-view learning from CCTA for myocardial infarction diagnosisJakub Gwizdala, Adil Salihu, Ortal Senouf, et al.
Pageof 2