most citedComparing 3D deformations between longitudinal daily CBCT acquisitions using CNN for head and neck radiotherapy toxicity prediction

1 citations · 2 across the 4 of their papers we have counts for

collaborators

4 papers

eess.IV2026

AMO-ENE: Attention-based Multi-Omics Fusion Model for Outcome Prediction in Extra Nodal Extension and HPV-associated Oropharyngeal Cancer

Gautier Hénique, William Le, Gabriel Dayan +8

Extranodal extension (ENE) is an emerging prognostic factor in human papillomavirus (HPV)-associated oropharyngeal cancer (OPC), although it is currently omitted as a clinical stag…

eess.IV2023

Semi-supervised ViT knowledge distillation network with style transfer normalization for colorectal liver metastases survival prediction

Mohamed El Amine Elforaici, Emmanuel Montagnon, Francisco Perdigon Romero +7

Colorectal liver metastases (CLM) significantly impact colon cancer patients, influencing survival based on systemic chemotherapy response. Traditional methods like tumor grading s…

cs.CV2023★ 1 cited

Image-level supervision and self-training for transformer-based cross-modality tumor segmentation

Malo de Boisredon, Eugene Vorontsov, William Trung Le +1

Deep neural networks are commonly used for automated medical image segmentation, but models will frequently struggle to generalize well across different imaging modalities. This is…

cs.CV2023★ 1 cited

Comparing 3D deformations between longitudinal daily CBCT acquisitions using CNN for head and neck radiotherapy toxicity prediction

William Trung Le, Chulmin Bang, Philippine Cordelle +4

Adaptive radiotherapy is a growing field of study in cancer treatment due to it's objective in sparing healthy tissue. The standard of care in several institutions includes longitu…