Concepedia

Kibrom Berihu Girum

KB

8

Publications

308

Citations

8

H-Index

2020

Active since

Affiliations

Université de Bourgogne(Current)

CHU Dijon Bourgogne

Maison des Sciences sociales et des Humanités de Dijon

ImViA - Imagerie et Vision Artificielle

Kibrom Berihu Girum is an author at Université de Bourgogne specializing in engineering, deep learning, and biomedical imaging.

Top concepts

EngineeringRadiologyDeep LearningMedical ImagingBiomedical ImagingMedical Image ComputingHealthImage AnalysisComputer VisionMachine Learning

Publications per year

2020–2023

8

Publications

8

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

Alain Lalande, Zhihao Chen, Thibaut Pommier et al. · Medical Image Analysis · 2022 · 55 citations · Full text

Delayed Enhancement-mri, Engineering, Medical Imaging +10

<sup>18</sup>F-FDG PET Maximum-Intensity Projections and Artificial Intelligence: A Win-Win Combination to Easily Measure Prognostic Biomarkers in DLBCL Patients

Kibrom Berihu Girum, Louis Rebaud, Anne‐Ségolène Cottereau et al. · Journal of Nuclear Medicine · 2022 · 54 citations · Full text

Learning With Context Feedback Loop for Robust Medical Image Segmentation

Kibrom Berihu Girum, G. Créhange, Alain Lalande · IEEE Transactions on Medical Imaging · 2021 · 51 citations · Full text

Convolutional Neural Network, Medical Image Segmentation, Engineering +21

Fast interactive medical image segmentation with weakly supervised deep learning method

Kibrom Berihu Girum, G. Créhange, Raabid Hussain et al. · International Journal of Computer Assisted Radiology and Surgery · 2020 · 39 citations

Medical Image Segmentation, Image Analysis, Machine Learning +14

Automatic segmentation of inner ear on CT-scan using auto-context convolutional neural network

Raabid Hussain, Alain Lalande, Kibrom Berihu Girum et al. · Scientific Reports · 2021 · 38 citations · Full text

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