William Le
Orcid: 0000-0002-6106-7386Affiliations:
- Polytechnique Montréal, CHUM Research Center, MedICAL Laboratory, Canada
According to our database1,
William Le
authored at least 13 papers
between 2020 and 2025.
Collaborative distances:
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Bibliography
2025
Semi-supervised ViT knowledge distillation network with style transfer normalization for colorectal liver metastases survival prediction.
Medical Image Anal., 2025
2024
Robot-assisted biopsy sampling for online Raman spectroscopy cancer confirmation in the operating room.
Int. J. Comput. Assist. Radiol. Surg., June, 2024
npj Digit. Medicine, 2024
Image-level supervision and self-training for transformer-based cross-modality tumor segmentation.
Medical Image Anal., 2024
Dose Aware Toxicity Prediction in Head and Neck Cancer Patients Using a Deformable 3D CNN on Daily CBCT Acquisitions.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
2023
Image-level supervision and self-training for transformer-based cross-modality tumor segmentation.
CoRR, 2023
Comparing 3D deformations between longitudinal daily CBCT acquisitions using CNN for head and neck radiotherapy toxicity prediction.
CoRR, 2023
Towards Real-Time Confirmation of Breast Cancer in the OR Using CNN-Based Raman Spectroscopy Classification.
Proceedings of the Cancer Prevention Through Early Detection, 2023
Prediction of Head and Neck Radiotherapy Toxicity Using a Deformable 3D CNN on Longitudinal Daily CBCT Acquisitions.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
2022
Population-based 3D respiratory motion modelling from convolutional autoencoders for 2D ultrasound-guided radiotherapy.
Medical Image Anal., 2022
2021
Intensity-Based Wasserstein Distance As A Loss Measure For Unsupervised Deformable Deep Registration.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
Deformable Mri To Transrectal Ultrasound Registration For Prostate Interventions With Shape-Based Deep Variational Auto-Encoders.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
2020
A Normalized Fully Convolutional Approach to Head and Neck Cancer Outcome Prediction.
CoRR, 2020