Houda Bahig, MD, PhD
Affiliations: | 2018- | Radiation Oncology | Centre hospitalier de l'Université de Montréal |
Website:
https://www.chumontreal.qc.ca/en/crchum/researchers/houda-bahigGoogle:
"Houda Bahig"Cross-listing: Imaging Tree
Parents
Sign in to add mentor| Jacques A. De Guise | grad student | 2018 | (E-Tree) | |
| (Thesis: Rôle de la tomodensitométrie à double énergie/double source pour la personnalisation des traitements de radiothérapie) | ||||
| David Roberge | grad student | 2018 | Université de Montréal | |
| (Thesis: Rôle de la tomodensitométrie à double énergie/double source pour la personnalisation des traitements de radiothérapie) | ||||
| Clifton David Fuller | post-doc | 2018-2019 | Centre hospitalier de l'Université de Montréal | |
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Publications
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| El-Habashy DM, Wahid KA, He R, et al. (2023) Longitudinal diffusion and volumetric kinetics of head and neck cancer magnetic resonance on a 1.5T MR-Linear accelerator hybrid system: A prospective R-IDEAL Stage 2a imaging biomarker characterization/ pre-qualification study. Medrxiv : the Preprint Server For Health Sciences |
| Tonneau M, Richard C, Routy B, et al. (2023) A Competing Risk Analysis of the Patterns and Risk Factors of Recurrence in Early-Stage Non-Small Cell Lung Cancer Treated with Stereotactic Ablative Radiotherapy. Radiotherapy and Oncology : Journal of the European Society For Therapeutic Radiology and Oncology. 109697 |
| Bahig H, Ehab HY, Garden AS, et al. (2023) Long-term outcomes of modern multidisciplinary management of sinonasal cancers: The M. D. Anderson experience. Head & Neck |
| Bang C, Bernard G, Le WT, et al. (2023) Artificial intelligence to predict outcomes of head and neck radiotherapy. Clinical and Translational Radiation Oncology. 39: 100590 |
| Lavigne D, Ng SP, O'Sullivan B, et al. (2022) Magnetic Resonance-Guided Radiation Therapy for Head and Neck Cancers. Current Oncology (Toronto, Ont.). 29: 8302-8315 |
| Ng SP, Cardenas CE, Bahig H, et al. (2022) Changes in Apparent Diffusion Coefficient (ADC) in Serial Weekly MRI during Radiotherapy in Patients with Head and Neck Cancer: Results from the PREDICT-HN Study. Current Oncology (Toronto, Ont.). 29: 6303-6313 |
| Bahig H, Huang SH, O'Sullivan B. (2022) Oligometastatic Head and Neck Cancer: Challenges and Perspectives. Cancers. 14 |
| Chartrand G, Emiliani RD, Pawlowski SA, et al. (2022) Automated Detection of Brain Metastases on T1-Weighted MRI Using a Convolutional Neural Network: Impact of Volume Aware Loss and Sampling Strategy. Journal of Magnetic Resonance Imaging : Jmri |
| Bahig H, Tonneau M, Blais N, et al. (2022) tereotactic Ablative Radiotherapy for oligo-progressive disease refractory to systemic therapy in Non-Small Cell Lung Cancer: A registry-based phase II randomized trial (SUPPRESS-NSCLC). Clinical and Translational Radiation Oncology. 33: 115-119 |
| Le WT, Vorontsov E, Romero FP, et al. (2022) Cross-institutional outcome prediction for head and neck cancer patients using self-attention neural networks. Scientific Reports. 12: 3183 |