Houda Bahig
Orcid: 0000-0002-5607-6368
According to our database1,
Houda Bahig
authored at least 9 papers
between 2021 and 2024.
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Bibliography
2024
Boosting Vision-Language Models for Histopathology Classification: Predict All at Once.
Proceedings of the Foundation Models for General Medical AI, 2024
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.
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.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
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.
CoRR, 2023
Prediction of free-breathing 4DCT lung deformation using probabilistic motion auto-encoders.
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.
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!
Proceedings of the Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany., 2021