3 papers
cs.CV2026
Empirical investigation of 3D CT Foundation Models and Unsupervised Adaptation for Head and Neck Cancer Recurrence Prediction
Bilel Guetarni, Feryal Windal, David Pasquier +1
The rapid emergence of 3D CT foundation models has opened new avenues for predictive modeling from CT imaging, offering a compelling alternative to traditional radiomics which is k…
cs.CV2024
Histopathology image embedding based on foundation models features aggregation for patient treatment response prediction
Bilel Guetarni, Feryal Windal, Halim Benhabiles +4
Predicting the response of a patient to a cancer treatment is of high interest. Nonetheless, this task is still challenging from a medical point of view due to the complexity of th…
eess.IV2024
A vision transformer-based framework for knowledge transfer from multi-modal to mono-modal lymphoma subtyping models
Bilel Guetarni, Feryal Windal, Halim Benhabiles +4
Determining lymphoma subtypes is a crucial step for better patient treatment targeting to potentially increase their survival chances. In this context, the existing gold standard d…