Tewodros Weldebirhan Arega

According to our database, Tewodros Weldebirhan Arega authored at least 11 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Deep Learning Segmentation of the Right Ventricle in Cardiac MRI: The M&Ms Challenge.

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

IEEE J. Biomed. Health Informatics, July, 2023

Automatic uncertainty-based quality controlled T1 mapping and ECV analysis from native and post-contrast cardiac T1 mapping images using Bayesian vision transformer.

Tewodros Weldebirhan Arega, Stéphanie Bricq, François Le Grand, Alexis Jacquier, Alain Lalande, Fabrice Mériaudeau

Medical Image Anal., May, 2023

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).

Tewodros Weldebirhan Arega

PhD thesis, 2023

MyoPS: A benchmark of myocardial pathology segmentation combining three-sequence cardiac magnetic resonance images.

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

Medical Image Anal., 2023

Using Uncertainty Information for Kidney Tumor Segmentation.

Joffrey Michaud, Tewodros Weldebirhan Arega, Stéphanie Bricq

Proceedings of the Kidney and Kidney Tumor Segmentation - MICCAI 2023 Challenge, 2023

2022

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).

Khawla Brahim, Tewodros Weldebirhan Arega, Arnaud Boucher, Stéphanie Bricq, Anis Sakly, Fabrice Mériaudeau

Sensors, 2022

Automatic Quality Assessment of Cardiac MR Images with Motion Artefacts Using Multi-task Learning and K-Space Motion Artefact Augmentation.

Tewodros Weldebirhan Arega, Stéphanie Bricq, Fabrice Mériaudeau

Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers, 2022

Using Polynomial Loss and Uncertainty Information for Robust Left Atrial and Scar Quantification and Segmentation.

Tewodros Weldebirhan Arega, Stéphanie Bricq, Fabrice Mériaudeau

Proceedings of the Left Atrial and Scar Quantification and Segmentation - First Challenge, 2022

2021

Using MRI-specific Data Augmentation to Enhance the Segmentation of Right Ventricle in Multi-disease, Multi-center and Multi-view Cardiac MRI.

Tewodros Weldebirhan Arega, François Le Grand, Stéphanie Bricq, Fabrice Mériaudeau

Proceedings of the Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge, 2021

Leveraging Uncertainty Estimates to Improve Segmentation Performance in Cardiac MR.

Tewodros Weldebirhan Arega, Stéphanie Bricq, Fabrice Mériaudeau

Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis, 2021

2020

Automatic Myocardial Scar Segmentation from Multi-sequence Cardiac MRI Using Fully Convolutional Densenet with Inception and Squeeze-Excitation Module.

Tewodros Weldebirhan Arega, Stéphanie Bricq

Proceedings of the Myocardial Pathology Segmentation Combining Multi-Sequence Cardiac Magnetic Resonance Images, 2020