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Author

Van-Linh Le

Observed names: Le, Van Linh, Le, van Linh, Van Linh LE, Van Linh Le
Institutions: Centre National de la Recherche Scientifique, Institut national de recherche en sciences et technologies du numérique, Université de Bordeaux, Centre Inria de l'université de Bordeaux, Institut Bergonié, Institut de Mathématiques de Bordeaux
Observed institutions: Centre National de la Recherche Scientifique, Institut national de recherche en sciences et technologies du numérique, Université de Bordeaux, Inserm, Dalat University, Centre Inria de l'université de Bordeaux, Institut Bergonié, Laboratoire Bordelais de Recherche en Informatique, Institut Polytechnique de Bordeaux, Institut de Mathématiques de Bordeaux, BoRdeaux Institute of onCology, MONC: Modélisation Mathématique pour l'Oncologie
ORCID: 0009-0009-0465-8161
Observed ORCID: 0009-0009-0465-8161
OpenAlex ID: A5046678752
Image based species identification of Globodera quarantine nematodes using computer vision and deep learning
2021 · Romain Thevenoux, Van Linh LE, et al. · Computers and Electronics in Agriculture · 42
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Automated landmarking for insects morphometric analysis using deep neural networks
2020 · Van-Linh Le, Marie Beurton-Aimar, et al. · Ecological Informatics · 27
RRc-UNet 3D for lung tumor segmentation from CT scans of Non-Small Cell Lung Cancer patients
2023 · Van-Linh Le, Olivier Saut · IEEE/CVF International Conference on Computer Vision Workshops (ICCVW) · 13
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Heritage Image Classification by Convolution Neural Networks
2018 · Manh-Tu Vu, Marie Beurton-Aimar, et al. · International Conference on Multimedia Analysis and Pattern Recognition (MAPR) · 12
IHR-NomDB: The Old Degraded Vietnamese Handwritten Script Archive Database
2021 · Manh Tu Vu, Van Linh Le, et al. · Lecture notes in computer science · 11
Prognostic prediction in soft-tissue sarcomas using deep learning and digital pathology of tumor and margin areas
2025 · Audrey Michot, Van-Linh Le, et al. · Scientific Reports · 4
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Leveraging Deep Learning for Immune Cell Quantification and Prognostic Evaluation in Radiotherapy-Treated Oropharyngeal Squamous Cell Carcinomas
2025 · Fanny Beltzung, Van-Linh Le, et al. · Laboratory Investigation · 4
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MAELab: a framework to automatize landmark estimation
2017 · Le, van Linh, Beurton-Aimar, Marie, et al. · Digital Library (University of West Bohemia) · 3
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A Deep Attention-Multiple Instance Learning Framework to Predict Survival of Soft-Tissue Sarcoma from Whole Slide Images
2023 · Van-Linh Le, Audrey Michot, et al. · Lecture notes in computer science · 2
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Landmarks Detection by Applying Deep Networks
2018 · Van-Linh Le, Marie Beurton-Aimar, et al. · International Conference on Multimedia Analysis and Pattern Recognition (MAPR) · 2
Deep Learning Predicts Mutations and Outcomes in Gastrointestinal Stromal Tumors
2026 · Arianna Bonetti, Van-Linh Le, et al. · Cancer Research · 1
Deep Learning Can Accurately Predict the Prognosis of Gynecologic Smooth Muscle Tumors of Uncertain Malignant Potential: A Multicenter Pilot Study
2025 · João Costa, Van-Linh Le, et al. · Laboratory Investigation · 1
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Coordinate-Unet 3D for segmentation of lung parenchyma
2023 · MONC team - INRIA Bordeaux Sud-Ouest, Talence-33400, France, Van-Linh Le, et al. · Computer Science Research Notes · 1
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Table 2 from Deep Learning Predicts Mutations and Outcomes in Gastrointestinal Stromal Tumors
2026 · Arianna Bonetti, Van-Linh Le, et al.
Figure 2 from Deep Learning Predicts Mutations and Outcomes in Gastrointestinal Stromal Tumors
2026 · Arianna Bonetti, Van-Linh Le, et al.
Table 1 from Deep Learning Predicts Mutations and Outcomes in Gastrointestinal Stromal Tumors
2026 · Arianna Bonetti, Van-Linh Le, et al.
Figure 3 from Deep Learning Predicts Mutations and Outcomes in Gastrointestinal Stromal Tumors
2026 · Arianna Bonetti, Van-Linh Le, et al.
Data from Deep Learning Predicts Mutations and Outcomes in Gastrointestinal Stromal Tumors
2026 · Arianna Bonetti, Van-Linh Le, et al.
Table 5 from Deep Learning Predicts Mutations and Outcomes in Gastrointestinal Stromal Tumors
2026 · Arianna Bonetti, Van-Linh Le, et al.
Table 4 from Deep Learning Predicts Mutations and Outcomes in Gastrointestinal Stromal Tumors
2026 · Arianna Bonetti, Van-Linh Le, et al.
Supplementary Tables from Deep Learning Predicts Mutations and Outcomes in Gastrointestinal Stromal Tumors
2026 · Arianna Bonetti, Van-Linh Le, et al.
Table 3 from Deep Learning Predicts Mutations and Outcomes in Gastrointestinal Stromal Tumors
2026 · Arianna Bonetti, Van-Linh Le, et al.
Figure 1 from Deep Learning Predicts Mutations and Outcomes in Gastrointestinal Stromal Tumors
2026 · Arianna Bonetti, Van-Linh Le, et al.
Figure S2 from Deep Learning Predicts Mutations and Outcomes in Gastrointestinal Stromal Tumors
2026 · Arianna Bonetti, Van-Linh Le, et al.
Figure S1 from Deep Learning Predicts Mutations and Outcomes in Gastrointestinal Stromal Tumors
2026 · Arianna Bonetti, Van-Linh Le, et al.
Works count: 31
Citation count: 123
H-index: 5
I10-index: 5
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