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ORCIDGabriel 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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Journal Articles
- 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)
Conference and Workshop Papers
- 2024
- [c5]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 - 2023
- [c4]Gabriel Jimenez, Pablo Mas, Anuradha Kar, Julien Peyrache, Léa Ingrassia, Susana Boluda, Benoît Delatour, Lev Stimmer, Daniel Racoceanu:
A meta-graph approach for analyzing whole slide histopathological images of human brain tissue with Alzheimer's disease biomarkers. Digital and Computational Pathology 2023 - [c3]Xun Thong Cham, Ming Le Soh, Fedra Trujillano, Chun Yu Yau Peter, Chen Fung Choy Oliver, Xavern Cheh, Kimberly Fornace, Yi Jie Poh Nicholas, Chee Kiat Seow, Henrik Hesse, Qi Cao, Gabriel Jimenez Garay:
AI-Assisted Manual Segmentation Web Application for Geospatial Satellite and Imagery Data. WF-IoT 2023: 1-5 - 2022
- [c2]Gabriel Jimenez, Anuradha Kar, Mehdi Ounissi, Léa Ingrassia, Susana Boluda, Benoît 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 - [c1]Kristyna Manousková, Valentin Abadie, Mehdi Ounissi, Gabriel Jimenez, Lev Stimmer, Benoît Delatour, Stanley Durrleman, Daniel Racoceanu:
Tau protein discrete aggregates in Alzheimer's disease: neuritic plaques and tangles detection and segmentation using computational histopathology. Digital and Computational Pathology 2022
Informal and Other Publications
- 2024
- [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, Benoît 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
- [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, Benoît 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
- [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)
Coauthor Index
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