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Radiology. Imaging Cancer|January 16, 2026
Test-Retest Apparent Diffusion Coefficient Reproducibility in Head and Neck Cancer Using a 1.5-T MR-LinacBrigid A McDonald, Dina El-Habashy, Renjie He, et al.Oral Oncology|June 14, 2025
Computed tomography radiomics-based cross-sectional detection of mandibular osteoradionecrosis in head and neck cancer survivorsSerageldin Kamel, Laia Humbert-Vidan, Zaphanlene Kaffey, et al.Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|May 4, 2025
Radiographic classification of mandibular osteoradionecrosis: A blinded prospective multi-disciplinary interobserver diagnostic performance studyZaphanlene Kaffey, Sarah Mirbahaeddin, Kareem Wahid, et al.Physics and Imaging in Radiation Oncology|September 2, 2025
Image-based mandibular and maxillary parcellation and annotation using computed tomography (IMPACT): a deep learning-based clinical tool for orodental dose estimation and osteoradionecrosis assessmentLaia Humbert-Vidan, Austin H Castelo, Renjie He, et al.Oral Surgery, Oral Medicine, Oral Pathology and Oral Radiology|February 17, 2026
Black bone MRI morphometry for mandibular cortical bone measurement in head and neck cancer patients: prospective method comparison with CTLisanne V van Dijk, Juan Ventura, Kareem A Wahid, et al.Medrxiv : the Preprint Server for Health Sciences|April 1, 2025
Image-based Mandibular and Maxillary Parcellation and Annotation using Computer Tomography (IMPACT): A Deep Learning-based Clinical Tool for Orodental Dose Estimation and Osteoradionecrosis AssessmentLaia Humbert-Vidan, Austin H Castelo, Renjie He, et al.Pageof 1