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Gabriel Jimenez 0001
Person information
- affiliation: Cayetano Heredia University, Health Innovation Laboratory, Institute of Tropical Medicine - Alexander von Humboldt, Lima, Peru
- affiliation: Sorbonne University, Department of Engineering and Computer Science, Faculty of Science and Engineering, Paris, France
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2020 – today
- 2024
- [c2]Yuning Huang, Jingchen Zou, Lanxi Meng, Xin Yue, Qing Zhao, Jianqiang Li, Changwei Song, Gabriel Jimenez, Shaowu Li, Guanghui Fu:
Comparative Analysis of ImageNet Pre-Trained Deep Learning Models and DINOv2 in Medical Imaging Classification. COMPSAC 2024: 297-305 - [i6]Yuning Huang, Jingchen Zou, Lanxi Meng, Xin Yue, Qing Zhao, Jianqiang Li, Changwei Song, Gabriel Jimenez, Shaowu Li, Guanghui Fu:
Comparative Analysis of ImageNet Pre-Trained Deep Learning Models and DINOv2 in Medical Imaging Classification. CoRR abs/2402.07595 (2024) - [i5]Leopold Hebert-Stevens, Gabriel Jimenez, Benoit Delatour, Lev Stimmer, Daniel Racoceanu:
Graph Theory and GNNs to Unravel the Topographical Organization of Brain Lesions in Variants of Alzheimer's Disease Progression. CoRR abs/2403.00636 (2024) - 2023
- [j1]Fedra Trujillano, Gabriel Jimenez Garay, Hugo Alatrista-Salas, Isabel Byrne, Miguel Núñez-del-Prado, Kallista Chan, Edgar Manrique, Emilia Johnson, Nombre Apollinaire, Pierre Kouame Kouakou, Welbeck A. Oumbouke, Alfred B. Tiono, Moussa W. Guelbeogo, Jo Lines, Gabriel Carrasco-Escobar, Kimberly Fornace:
Mapping Malaria Vector Habitats in West Africa: Drone Imagery and Deep Learning Analysis for Targeted Vector Surveillance. Remote. Sens. 15(11): 2775 (2023) - [i4]Gabriel Jimenez, Daniel Racoceanu:
Computational Pathology for Brain Disorders. CoRR abs/2301.07030 (2023) - [i3]Gabriel Jimenez, Anuradha Kar, Mehdi Ounissi, Léa Ingrassia, Susana Boluda, Benoit Delatour, Lev Stimmer, Daniel Racoceanu:
Visual deep learning-based explanation for neuritic plaques segmentation in Alzheimer's Disease using weakly annotated whole slide histopathological images. CoRR abs/2302.08511 (2023) - [i2]Guanghui Fu, Gabriel Jimenez, Sophie Loizillon, Lydia Chougar, Didier Dormont, Romain Valabrègue, Ninon Burgos, Stéphane Lehéricy, Daniel Racoceanu, Olivier Colliot:
Frequency Disentangled Learning for Segmentation of Midbrain Structures from Quantitative Susceptibility Mapping Data. CoRR abs/2302.12980 (2023) - 2022
- [c1]Gabriel Jimenez, Anuradha Kar, Mehdi Ounissi, Léa Ingrassia, Susana Boluda, Benoit Delatour, Lev Stimmer, Daniel Racoceanu:
Visual Deep Learning-Based Explanation for Neuritic Plaques Segmentation in Alzheimer's Disease Using Weakly Annotated Whole Slide Histopathological Images. MICCAI (2) 2022: 336-344 - [i1]Guanghui Fu, Gabriel Jimenez, Sophie Loizillon, Rosana El Jurdi, Lydia Chougar, Didier Dormont, Romain Valabrègue, Ninon Burgos, Stéphane Lehéricy, Daniel Racoceanu, Olivier Colliot:
Fourier Disentangled Multimodal Prior Knowledge Fusion for Red Nucleus Segmentation in Brain MRI. CoRR abs/2211.01353 (2022)
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