3 papers
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.IV2023
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…
eess.IV2020
Deep Learning on Chest X-ray Images to Detect and Evaluate Pneumonia Cases at the Era of COVID-19
Karim Hammoudi, Halim Benhabiles, Mahmoud Melkemi +4
Coronavirus disease 2019 (COVID-19) is an infectious disease with first symptoms similar to the flu. COVID-19 appeared first in China and very quickly spreads to the rest of the wo…