14 citations · 18 across the 10 of their papers we have counts for
6 papers · 1 filter
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…
NoduLoCC2026: Lung Nodule Localization and Classification Contest from Chest X-Ray Images
Adnan Mustafic, Halim Benhabiles, Adnane Cabani +19
We propose NoduLoCC2026, a challenge on lung nodule detection and localization in chest X-ray images. We have provided a dataset for both tasks and received submissions from 5 inte…
SHREC 2025: Protein surface shape retrieval including electrostatic potential
Taher Yacoub, Camille Depenveiller, Atsushi Tatsuma +25
This SHREC 2025 track dedicated to protein surface shape retrieval involved 9 participating teams. We evaluated the performance in retrieval of 15 proposed methods on a large datas…
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…
SuperpixelGridCut, SuperpixelGridMean and SuperpixelGridMix Data Augmentation
Karim Hammoudi, Adnane Cabani, Bouthaina Slika +3
A novel approach of data augmentation based on irregular superpixel decomposition is proposed. This approach called SuperpixelGridMasks permits to extend original image datasets th…
MaskedFace-Net -- A Dataset of Correctly/Incorrectly Masked Face Images in the Context of COVID-19
Adnane Cabani, Karim Hammoudi, Halim Benhabiles +1
The wearing of the face masks appears as a solution for limiting the spread of COVID-19. In this context, efficient recognition systems are expected for checking that people faces…