Houda Bahig

According to our database, Houda Bahig authored at least 13 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

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

Gautier Henique, William Le, Gabriel Dayan, Coralie Brodeur, Kristoff Nelson, Apostolos Christopoulos, Edith Filion, Phuc Felix Nguyen-Tan, Laurent Létourneau-Guillon, Houda Bahig, Samuel Kadoury

CoRR, April, 2026

2025

Few-Shot, Now for Real: Medical VLMs Adaptation Without Balanced Sets or Validation.

Julio Silva-Rodríguez, Fereshteh Shakeri, Houda Bahig, Jose Dolz, Ismail Ben Ayed

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

Test-Time Adaptation of Medical Vision-Language Models.

Fereshteh Shakeri, Ghassen Baklouti, Julio Silva-Rodríguez, Maxime Zanella, Houda Bahig, Jose Dolz, Ismail Ben Ayed

Proceedings of the Foundation Models for General Medical AI - Third International Workshop, 2025

Regularized Low-Rank Adaptation for Few-Shot Organ Segmentation.

Ghassen Baklouti, Julio Silva-Rodríguez, Jose Dolz, Houda Bahig, Ismail Ben Ayed

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

2024

Boosting Vision-Language Models for Histopathology Classification: Predict All at Once.

Maxime Zanella, Fereshteh Shakeri, Yunshi Huang, Houda Bahig, Ismail Ben Ayed

Proceedings of the Foundation Models for General Medical AI, 2024

Few-Shot Adaptation of Medical Vision-Language Models.

Fereshteh Shakeri, Yunshi Huang, Julio Silva-Rodríguez, Houda Bahig, An Tang, Jose Dolz, Ismail Ben Ayed

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Feature Tokenizer-Transformers with Self-Training for The Prediction of PD-L1 Expression of Non-Small Cell Lung Cancer from CT.

Ralph Saber, Marion Tonneau, Sami Bahig, Julie Malo, Wiam Belkaid, Meriem Messaoudene, Nicole Bouchard, François Coulombe, Philippe Joubert, Houda Bahig, Simon Turcotte, Bertrand Routy, Samuel Kadoury

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Dose Aware Toxicity Prediction in Head and Neck Cancer Patients Using a Deformable 3D CNN on Daily CBCT Acquisitions.

Gautier Henique, Chulmin Bang, Daniel Markel, William Le, Edith Filion, Phuc Felix Ngyuen-Tan, Houda Bahig, Samuel Kadoury

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

LP++: A Surprisingly Strong Linear Probe for Few-Shot CLIP.

Yunshi Huang, Fereshteh Shakeri, Jose Dolz, Malik Boudiaf, Houda Bahig, Ismail Ben Ayed

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

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

William Trung Le, Chulmin Bang, Philippine Cordelle, Daniel Markel, Phuc Felix Nguyen-Tan, Houda Bahig, Samuel Kadoury

CoRR, 2023

Prediction of free-breathing 4DCT lung deformation using probabilistic motion auto-encoders.

Emilie Ouraou, Liset Vázquez Romaguera, Marion Tonneau, Houda Bahig, Samuel Kadoury

Proceedings of the Medical Imaging 2023: Image-Guided Procedures, 2023

Prediction of Head and Neck Radiotherapy Toxicity Using a Deformable 3D CNN on Longitudinal Daily CBCT Acquisitions.

William Trung Le, Chulmin Bang, Philippine Cordelle, Daniel Markel, Phuc Felix Nguyen-Tan, Houda Bahig, Samuel Kadoury

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2021

Beyond pixel-wise supervision for segmentation: A few global shape descriptors might be surprisingly good!

Hoel Kervadec, Houda Bahig, Laurent Létourneau-Guillon, Jose Dolz, Ismail Ben Ayed

Proceedings of the Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany., 2021