Gabriel Jimenez

14 papers B 1Journal 10Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Morphology-enhanced CAM-guided SAM for weakly supervised breast lesion segmentation.
Biomed. Signal Process. Control.
Xin Yue, Qing Zhao, Xiaoling Liu, Jianqiang Li, Jing Bai, Changwei Song, Suqin Liu, Rodrigo Moreno, Zhikai Yang, Stefano E. Romero, Gabriel Jimenez, Guanghui Fu
2025 J jnl
ADNP-15: An Open-Source Histopathological Dataset for Neuritic Plaque Segmentation in Human Brain Whole Slide Images with Frequency Domain Image Enhancement for Stain Normalization.
CoRR
Chenxi Zhao, Jianqiang Li, Qing Zhao, Jing Bai, Susana Boluda, Benoît Delatour, Lev Stimmer, Daniel Racoceanu, Gabriel Jimenez, Guanghui Fu
2025 J jnl
Machine Learning-Based Retrieval of Cloud Droplet Number Concentration and Liquid Water Path From Satellite Spectral Data.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Jessenia Gonzalez, Sudhakar Dipu, Gabriel Jimenez, Gustau Camps-Valls, Johannes Quaas
2025 J jnl
Performance Estimation for Supervised Medical Image Segmentation Models on Unlabeled Data Using UniverSeg.
CoRR
Jingchen Zou, Jianqiang Li, Gabriel Jimenez, Qing Zhao, Daniel Racoceanu, Matias Cosarinsky, Enzo Ferrante, Guanghui Fu
2024 B conf
Comparative Analysis of ImageNet Pre-Trained Deep Learning Models and DINOv2 in Medical Imaging Classification.
COMPSAC
Yuning Huang, Jingchen Zou, Lanxi Meng, Xin Yue, Qing Zhao, Jianqiang Li, Changwei Song, Gabriel Jimenez, Shaowu Li, Guanghui Fu
2024 J jnl
Comparative Analysis of ImageNet Pre-Trained Deep Learning Models and DINOv2 in Medical Imaging Classification.
CoRR
Yuning Huang, Jingchen Zou, Lanxi Meng, Xin Yue, Qing Zhao, Jianqiang Li, Changwei Song, Gabriel Jimenez, Shaowu Li, Guanghui Fu
2024 J jnl
Graph Theory and GNNs to Unravel the Topographical Organization of Brain Lesions in Variants of Alzheimer's Disease Progression.
CoRR
Leopold Hebert-Stevens, Gabriel Jimenez, Benoît Delatour, Lev Stimmer, Daniel Racoceanu
2023 — conf
A meta-graph approach for analyzing whole slide histopathological images of human brain tissue with Alzheimer's disease biomarkers.
Digital and Computational Pathology
Gabriel Jimenez, Pablo Mas, Anuradha Kar, Julien Peyrache, Léa Ingrassia, Susana Boluda, Benoît Delatour, Lev Stimmer, Daniel Racoceanu
2023 J jnl
Computational Pathology for Brain Disorders.
CoRR
Gabriel Jimenez, Daniel Racoceanu
2023 J jnl
Frequency Disentangled Learning for Segmentation of Midbrain Structures from Quantitative Susceptibility Mapping Data.
CoRR
Guanghui Fu, Gabriel Jimenez, Sophie Loizillon, Lydia Chougar, Didier Dormont, Romain Valabrègue, Ninon Burgos, Stéphane Lehéricy, Daniel Racoceanu, Olivier Colliot
2023 J jnl
Visual deep learning-based explanation for neuritic plaques segmentation in Alzheimer's Disease using weakly annotated whole slide histopathological images.
CoRR
Gabriel Jimenez, Anuradha Kar, Mehdi Ounissi, Léa Ingrassia, Susana Boluda, Benoît Delatour, Lev Stimmer, Daniel Racoceanu
2022 J jnl
Fourier Disentangled Multimodal Prior Knowledge Fusion for Red Nucleus Segmentation in Brain MRI.
CoRR
Guanghui Fu, Gabriel Jimenez, Sophie Loizillon, Rosana El Jurdi, Lydia Chougar, Didier Dormont, Romain Valabrègue, Ninon Burgos, Stéphane Lehéricy, Daniel Racoceanu, Olivier Colliot
2022 — conf
Tau protein discrete aggregates in Alzheimer's disease: neuritic plaques and tangles detection and segmentation using computational histopathology.
Digital and Computational Pathology
Kristyna Manousková, Valentin Abadie, Mehdi Ounissi, Gabriel Jimenez, Lev Stimmer, Benoît Delatour, Stanley Durrleman, Daniel Racoceanu
2022 — conf
Visual Deep Learning-Based Explanation for Neuritic Plaques Segmentation in Alzheimer's Disease Using Weakly Annotated Whole Slide Histopathological Images.
MICCAI (2)
Gabriel Jimenez, Anuradha Kar, Mehdi Ounissi, Léa Ingrassia, Susana Boluda, Benoît Delatour, Lev Stimmer, Daniel Racoceanu