Bogdan Badic

According to our database, Bogdan Badic authored at least 7 papers between 2022 and 2024.

Collaborative distances:

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

2024

Improving abdominal image segmentation with overcomplete shape priors.

Amine Sadikine, Bogdan Badic, Jean-Pierre Tasu, Vincent Noblet, Pascal Ballet, Dimitris Visvikis, Pierre-Henri Conze

Comput. Medical Imaging Graph., 2024

Deep Vessel Segmentation with Joint Multi-Prior Encoding.

Amine Sadikine, Bogdan Badic, Enzo Ferrante, Vincent Noblet, Pascal Ballet, Dimitris Visvikis, Pierre-Henri Conze

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Learning Transferability in Deep Segmentation of Liver Metastases.

M. Abbas, Gustavo Andrade-Miranda, Vincent Bourbonne, Dimitris Visvikis, Bogdan Badic, Pierre-Henri Conze

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

Scale-Specific Auxiliary Multi-Task Contrastive Learning for Deep Liver Vessel Segmentation.

Amine Sadikine, Bogdan Badic, Jean-Pierre Tasu, Vincent Noblet, Pascal Ballet, Dimitris Visvikis, Pierre-Henri Conze

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022

Deep Treatment Response Assessment and Prediction of Colorectal Cancer Liver Metastases.

Mohammad Mohaiminul Islam, Bogdan Badic, Thomas Aparicio, David Tougeron, Jean-Pierre Tasu, Dimitris Visvikis, Pierre-Henri Conze

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Semi-Overcomplete Convolutional Auto-Encoder Embedding as Shape Priors for Deep Vessel Segmentation.

Amine Sadikine, Bogdan Badic, Jean-Pierre Tasu, Vincent Noblet, Dimitris Visvikis, Pierre-Henri Conze

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Evaluation of Importance Estimators in Deep Learning Classifiers for Computed Tomography.

Lennart Brocki, Wistan Marchadour, Jonas Maison, Bogdan Badic, Panagiotis G. Papadimitroulas, Mathieu Hatt, Franck Vermet, Neo Christopher Chung

Proceedings of the Explainable and Transparent AI and Multi-Agent Systems, 2022