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ORCIDTewodros Weldebirhan Arega
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2020 – today
- 2023
[b1]Tewodros Weldebirhan Arega:
Uncertainty-based Deep Learning Methods for Robust and Reliable Cardiac MRI Segmentation and Analysis. (Méthodes d'apprentissage profond basées sur l'incertitude pour une segmentation et une analyse robustes et fiables de l'IRM cardiaque). University of Burgundy - Franche-Comté, 2023- [j4]Tewodros Weldebirhan Arega
, Stéphanie Bricq, François Le Grand, Alexis Jacquier, Alain Lalande, Fabrice Mériaudeau:
Automatic uncertainty-based quality controlled T1 mapping and ECV analysis from native and post-contrast cardiac T1 mapping images using Bayesian vision transformer. Medical Image Anal. 86: 102773 (2023) - [j3]Lei Li, Fuping Wu, Sihan Wang, Xinzhe Luo, Carlos Martín-Isla, Shuwei Zhai, Jianpeng Zhang, Yanfei Liu, Zhen Zhang, Markus J. Ankenbrand, Haochuan Jiang, Xiaoran Zhang, Linhong Wang, Tewodros Weldebirhan Arega, Elif Altunok, Zhou Zhao, Feiyan Li, Jun Ma, Xiaoping Yang, Élodie Puybareau, Ilkay Öksüz, Stéphanie Bricq, Weisheng Li, Kumaradevan Punithakumar, Sotirios A. Tsaftaris, Laura Maria Schreiber, Mingjing Yang, Guocai Liu, Yong Xia, Guotai Wang, Sergio Escalera, Xiahai Zhuang:
MyoPS: A benchmark of myocardial pathology segmentation combining three-sequence cardiac magnetic resonance images. Medical Image Anal. 87: 102808 (2023) - [j2]Carlos Martín-Isla, Víctor M. Campello, Cristian Izquierdo, Kaisar Kushibar, Carla Sendra-Balcells, Polyxeni Gkontra, Alireza Sojoudi, Mitchell J. Fulton, Tewodros Weldebirhan Arega, Kumaradevan Punithakumar, Lei Li, Xiaowu Sun, Yasmina Al Khalil, Di Liu, Sana Jabbar, Sandro F. Queiros, Francesco Galati, Moona Mazher, Zheyao Gao, Marcel Beetz, Lennart Tautz, Christoforos Galazis, Marta Varela, Markus Hüllebrand, Vicente Grau, Xiahai Zhuang, Domenec Puig, Maria A. Zuluaga, Hassan Mohy-ud-Din, Dimitris N. Metaxas, Marcel Breeuwer, Rob J. van der Geest, Michelle Noga, Stéphanie Bricq, Mark E. Rentschler, Andrea Guala, Steffen E. Petersen, Sergio Escalera, José F. Rodríguez Palomares, Karim Lekadir:
Deep Learning Segmentation of the Right Ventricle in Cardiac MRI: The M&Ms Challenge. IEEE J. Biomed. Health Informatics 27(7): 3302-3313 (2023) - [c6]Joffrey Michaud, Tewodros Weldebirhan Arega, Stéphanie Bricq:
Using Uncertainty Information for Kidney Tumor Segmentation. KiTS@MICCAI 2023: 54-59 - 2022
- [j1]Khawla Brahim, Tewodros Weldebirhan Arega, Arnaud Boucher, Stéphanie Bricq, Anis Sakly, Fabrice Mériaudeau:
An Improved 3D Deep Learning-Based Segmentation of Left Ventricular Myocardial Diseases from Delayed-Enhancement MRI with Inclusion and Classification Prior Information U-Net (ICPIU-Net). Sensors 22(6): 2084 (2022) - [c5]Tewodros Weldebirhan Arega, Stéphanie Bricq, Fabrice Mériaudeau:
Using Polynomial Loss and Uncertainty Information for Robust Left Atrial and Scar Quantification and Segmentation. LAScarQS@MICCAI 2022: 133-144 - [c4]Tewodros Weldebirhan Arega, Stéphanie Bricq, Fabrice Mériaudeau:
Automatic Quality Assessment of Cardiac MR Images with Motion Artefacts Using Multi-task Learning and K-Space Motion Artefact Augmentation. STACOM@MICCAI 2022: 418-428 - [i1]Lei Li, Fuping Wu, Sihan Wang, Xinzhe Luo, Carlos Martín-Isla, Shuwei Zhai, Jianpeng Zhang, Yanfei Liu, Zhen Zhang, Markus J. Ankenbrand, Haochuan Jiang, Xiaoran Zhang, Linhong Wang, Tewodros Weldebirhan Arega, Elif Altunok, Zhou Zhao, Feiyan Li, Jun Ma, Xiaoping Yang, Élodie Puybareau, Ilkay Öksüz, Stéphanie Bricq, Weisheng Li, Kumaradevan Punithakumar, Sotirios A. Tsaftaris, Laura Maria Schreiber, Mingjing Yang, Guocai Liu, Yong Xia, Guotai Wang, Sergio Escalera, Xiahai Zhuang:
MyoPS: A Benchmark of Myocardial Pathology Segmentation Combining Three-Sequence Cardiac Magnetic Resonance Images. CoRR abs/2201.03186 (2022) - 2021
- [c3]Tewodros Weldebirhan Arega, Stéphanie Bricq, Fabrice Mériaudeau:
Leveraging Uncertainty Estimates to Improve Segmentation Performance in Cardiac MR. UNSURE/PIPPI@MICCAI 2021: 24-33 - [c2]Tewodros Weldebirhan Arega, François Le Grand, Stéphanie Bricq, Fabrice Mériaudeau:
Using MRI-specific Data Augmentation to Enhance the Segmentation of Right Ventricle in Multi-disease, Multi-center and Multi-view Cardiac MRI. STACOM@MICCAI 2021: 250-258 - 2020
- [c1]Tewodros Weldebirhan Arega, Stéphanie Bricq:
Automatic Myocardial Scar Segmentation from Multi-sequence Cardiac MRI Using Fully Convolutional Densenet with Inception and Squeeze-Excitation Module. MyoPS@MICCAI 2020: 102-117
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