Kibrom Berihu Girum

According to our database, Kibrom Berihu Girum authored at least 11 papers between 2018 and 2022.

Collaborative distances:

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

2022

Deep learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge.

Alain Lalande, Zhihao Chen, Thibaut Pommier, Thomas Decourselle, Abdul Qayyum, Michel Salomon, Dominique Ginhac, Youssef Skandarani, Arnaud Boucher, Khawla Brahim, Marleen de Bruijne, Robin Camarasa, Teresa M. Correia, Xue Feng, Kibrom Berihu Girum, Anja Hennemuth, Markus Hüllebrand, Raabid Hussain, Matthias Ivantsits, Jun Ma, Craig H. Meyer, Rishabh Sharma, Jixi Shi, Nikolaos V. Tsekos, Marta Varela, Xiyue Wang, Sen Yang, Hannu Zhang, Yichi Zhang, Yuncheng Zhou, Xiahai Zhuang, Raphaël Couturier, Fabrice Mériaudeau

Medical Image Anal., 2022

2021

Learning With Context Feedback Loop for Robust Medical Image Segmentation.

Kibrom Berihu Girum, Gilles Créhange, Alain Lalande

IEEE Trans. Medical Imaging, 2021

Deep Learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge.

Alain Lalande, Zhihao Chen, Thibaut Pommier, Thomas Decourselle, Abdul Qayyum, Michel Salomon, Dominique Ginhac, Youssef Skandarani, Arnaud Boucher, Khawla Brahim, Marleen de Bruijne, Robin Camarasa, Teresa M. Correia, Xue Feng, Kibrom Berihu Girum, Anja Hennemuth, Markus Hüllebrand, Raabid Hussain, Matthias Ivantsits, Jun Ma, Craig H. Meyer, Rishabh Sharma, Jixi Shi, Nikolaos V. Tsekos, Marta Varela, Xiyue Wang, Sen Yang, Hannu Zhang, Yichi Zhang, Yuncheng Zhou, Xiahai Zhuang, Raphaël Couturier, Fabrice Mériaudeau

CoRR, 2021

2020

Utilisation de l'intelligence artificielle pour les procédures de curiethérapie prostatique guidée par l'image. (Artificial intelligence for image-guided prostate brachytherapy procedures).

Kibrom Berihu Girum

PhD thesis, 2020

Augmented reality for inner ear procedures: visualization of the cochlear central axis in microscopic videos.

Raabid Hussain, Alain Lalande, Kibrom Berihu Girum, Caroline Guigou, Alexis Bozorg Grayeli

Int. J. Comput. Assist. Radiol. Surg., 2020

A deep learning method for real-time intraoperative US image segmentation in prostate brachytherapy.

Kibrom Berihu Girum, Alain Lalande, Raabid Hussain, Gilles Créhange

Int. J. Comput. Assist. Radiol. Surg., 2020

Fast interactive medical image segmentation with weakly supervised deep learning method.

Kibrom Berihu Girum, Gilles Créhange, Raabid Hussain, Alain Lalande

Int. J. Comput. Assist. Radiol. Surg., 2020

Automatic Myocardial Infarction Evaluation from Delayed-Enhancement Cardiac MRI Using Deep Convolutional Networks.

Kibrom Berihu Girum, Youssef Skandarani, Raabid Hussain, Alexis Bozorg Grayeli, Gilles Créhange, Alain Lalande

Proceedings of the Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges, 2020

2019

3D landmark detection for augmented reality based otologic procedures.

Raabid Hussain, Alain Lalande, Kibrom Berihu Girum, Caroline Guigou, Alexis Bozorg Grayeli

CoRR, 2019

Deep Generative Model-Driven Multimodal Prostate Segmentation in Radiotherapy.

Kibrom Berihu Girum, Gilles Créhange, Raabid Hussain, Paul Michael Walker, Alain Lalande

Proceedings of the Artificial Intelligence in Radiation Therapy, 2019

2018

Real-Time Augmented Reality for Ear Surgery.

Raabid Hussain, Alain Lalande, Roberto Marroquin, Kibrom Berihu Girum, Caroline Guigou, Alexis Bozorg Grayeli

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018