( en | de | ru )

 

Disambiguation of "Conze, Pierre-Henri"

Author of the publication

copydeleteadd this publication to your clipboard
Pure Versus Hybrid Transformers For Multi-Modal Brain Tumor Segmentation: A Comparative Study.

, , , , , and . ICIP, page 1336-1340. IEEE, (2022)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Pierre-Henri Conze

Pierre-Henri Horrein

Pierre-Henri Campanac

Henri-Pierre Maumary

Adrien Pierre Henri Oth

 

Other publications of authors with the same name

Learning contextual superpixel similarity for consistent image segmentation., , , , and . Multimedia Tools Appl., 79 (3-4): 2601-2627 (2020)Multi-task, Multi-domain Deep Segmentation with Shared Representations and Contrastive Regularization for Sparse Pediatric Datasets., , , , and . MICCAI (1), volume 12901 of Lecture Notes in Computer Science, page 239-249. Springer, (2021)Longitudinal Detection of Diabetic Retinopathy Early Severity Grade Changes Using Deep Learning., , , , , , and . OMIA@MICCAI, volume 12970 of Lecture Notes in Computer Science, page 11-20. Springer, (2021)Mapping the Ocular Surface from Monocular Videos with an Application to Dry Eye Disease Grading., , , , , , and . OMIA@MICCAI, volume 13576 of Lecture Notes in Computer Science, page 63-72. Springer, (2022)Semi-automatic muscle segmentation in MR images using deep registration-based label propagation., , , , , , , , and . Pattern Recognit., (August 2023)Multi-Structure Deep Segmentation With Shape Priors And Latent Adversarial Regularization., , , , and . ISBI, page 999-1002. IEEE, (2021)LaTiM: Longitudinal representation learning in continuous-time models to predict disease progression., , , , , , , , , and 2 other author(s). CoRR, (2024)L-MAE: Longitudinal masked auto-encoder with time and severity-aware encoding for diabetic retinopathy progression prediction., , , , , , , , , and 2 other author(s). CoRR, (2024)Detection of diabetic retinopathy using longitudinal self-supervised learning., , , , , , , and . CoRR, (2022)A review of deep learning-based information fusion techniques for multimodal medical image classification., , , , , , , , and . Comput. Biol. Medicine, (2024)