| Deep learning for semantic segmentation vs. classification in computational pathology: application to mitosis analysis in breast cancer grading G Jiménez, D Racoceanu Frontiers in bioengineering and biotechnology 7, 145, 2019 | 71 | 2019 |
| Technical Workflow Development for Integrating Drone Surveys and Entomological Sampling to Characterise Aquatic Larval Habitats of Anopheles funestus in Agricultural Landscapes … I Byrne, K Chan, E Manrique, J Lines, RZ Wolie, F Trujillano, GJ Garay, ... Journal of environmental and public health 2021, 2021 | 11 | 2021 |
| In vivo attenuation estimation in human thyroid nodules using the regularized spectral log difference technique: Initial pilot study A Coila, R Laimes, C Salazar, J Rouyer, G Jimenez, JA Pinto, J Guerrero, ... 2017 IEEE International Ultrasonics Symposium (IUS), 1-4, 2017 | 11 | 2017 |
| Visual deep Learning-Based explanation for neuritic plaques segmentation in Alzheimer’s disease using weakly annotated whole slide histopathological images G Jiménez, A Kar, M Ounissi, L Ingrassia, S Boluda, B Delatour, ... International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 7 | 2022 |
| Tau protein discrete aggregates in Alzheimer's disease: neuritic plaques and tangles detection and segmentation using computational histopathology K Maňoušková, V Abadie, M Ounissi, G Jimenez, L Stimmer, B Delatour, ... Medical Imaging 2022: Digital and Computational Pathology 12039, 33-39, 2022 | 6 | 2022 |
| Deep Learning for Semantic Segmentation versus Classification in Computational Pathology: Application to mitosis analysis in Breast Cancer grading GA Jiménez Garay Pontificia Universidad Católica del Perú, 2019 | 2 | 2019 |
| A meta-graph approach for analyzing whole slide histopathological images of human brain tissue with Alzheimer's disease biomarkers G Jimenez, P Mas, A Kar, J Peyrache, L Ingrassia, S Boluda, B Delatour, ... Medical Imaging 2023: Digital and Computational Pathology 12471, 476-482, 2023 | 1 | 2023 |
| Responsible artificial intelligence: a review of current trends J Arslan, M Ounissi, G Jiménez, A Kar, D Racoceanu Winter School AI4Health, 2022 | 1 | 2022 |
| The intriguing effect of frequency disentangled learning on medical image segmentation G Fu, G Jimenez, S Loizillon, L Chougar, D Dormont, R Valabregue, ... Medical Imaging 2024: Image Processing 12926, 366-373, 2024 | | 2024 |
| Image Segmentation Models as a New Tool to Monitor Disease Risks in Changing Environments F Trujillano, G Jimenez, E Manrique, N Kahamba, F Okumu, N Apollinaire, ... | | 2024 |
| Graph Theory and GNNs to Unravel the Topographical Organization of Brain Lesions in Variants of Alzheimer's Disease Progression L Hebert-Stevens, G Jimenez, B Delatour, L Stimmer, D Racoceanu arXiv preprint arXiv:2403.00636, 2024 | | 2024 |
| Comparative Analysis of ImageNet Pre-Trained Deep Learning Models and DINOv2 in Medical Imaging Classification Y Huang, J Zou, L Meng, X Yue, Q Zhao, J Li, C Song, G Jimenez, S Li, ... arXiv preprint arXiv:2402.07595, 2024 | | 2024 |
| Computational Pathology for Brain Disorders G Jiménez, D Racoceanu Machine Learning for Brain Disorders, 533-572, 2023 | | 2023 |
| Mapping Malaria Vectors in West Africa: Drone Imagery and Deep-Learning Analysis for Targeted Vector Surveillance F Trujillano, GJ Garay, H Alatrista-Salas, I Byrne, M Nunez-del-Prado, ... Preprints, 2023 | | 2023 |
| Frequency Disentangled Learning for Segmentation of Midbrain Structures from Quantitative Susceptibility Mapping Data G Fu, G Jimenez, S Loizillon, L Chougar, D Dormont, R Valabregue, ... arXiv preprint arXiv:2302.12980, 2023 | | 2023 |
| Visual deep learning-based explanation for neuritic plaques segmentation in Alzheimer's Disease using weakly annotated whole slide histopathological images G Jimenez, A Kar, M Ounissi, L Ingrassia, S Boluda, B Delatour, ... arXiv preprint arXiv:2302.08511, 2023 | | 2023 |
| Automated segmentation by deep learning of neuritic plaques and neurofibrillary tangles in brain sections of Alzheimer's Disease Patients L Ingrassia, S Boluda, G Jimenez, A Kar, D Racoceanu, B Delatour, ... bioRxiv, 2023.10. 31.564976, 2023 | | 2023 |
| Fourier Disentangled Multimodal Prior Knowledge Fusion for Red Nucleus Segmentation in Brain MRI G Fu, G Jimenez, S Loizillon, RE Jurdi, L Chougar, D Dormont, ... arXiv preprint arXiv:2211.01353, 2022 | | 2022 |
| Supplementary Materials: Deep Learning Image Analysis Tools to Identify Malaria Vector Habitats in West Africa F Trujillano, GJ Garay, H Alatrista-Salas, I Byrne, M Nunez-del-Prado, ... | | |
| Empowering Researchers for Understanding Alzheimer’s Disease using Explainable AI G Jimenez, A Kar, M Ounissi, D Racoceanu | | |
Daniel RACOCEANUSorbonne University, Paris Brain Institute (ICM), Inria team "Aramis"Adresse e-mail validée de sorbonne-universite.fr
