Head and Neck Cancer Primary Tumor Auto Segmentation Using Model Ensembling of Deep Learning in PET/CT Images. - Mohamed A. Naser; Kareem A. Wahid; Lisanne van Dijk; Renjie He; Moamen Abobakr Abdelaal; Cem Dede; Abdallah Sherif Radwan Mohamed; Clifton D. Fuller (HECKTOR@MICCAI, 2021)

Progression Free Survival Prediction for Head and Neck Cancer Using Deep Learning Based on Clinical and PET/CT Imaging Data. - Mohamed A. Naser; Kareem A. Wahid; Abdallah Sherif Radwan Mohamed; Moamen Abobakr Abdelaal; Renjie He; Cem Dede; Lisanne van Dijk; Clifton D. Fuller (HECKTOR@MICCAI, 2021)

Combining Tumor Segmentation Masks with PET/CT Images and Clinical Data in a Deep Learning Framework for Improved Prognostic Prediction in Head and Neck Squamous Cell Carcinoma. - Kareem A. Wahid; Renjie He; Cem Dede; Abdallah Sherif Radwan Mohamed; Moamen Abobakr Abdelaal; Lisanne van Dijk; Clifton D. Fuller; Mohamed A. Naser (HECKTOR@MICCAI, 2021)

Overview of the Head and Neck Tumor Segmentation for Magnetic Resonance Guided Applications (HNTS-MRG) 2024 Challenge. - Kareem A. Wahid; Cem Dede; Dina El-Habashy; Serageldin Kamel; Michael K. Rooney; Yomna Khamis; Moamen Abobakr Abdelaal; Sara Ahmed; Kelsey L. Corrigan; Enoch Chang; Stephanie O. Dudzinski; Travis C. Salzillo; et al. (HNTS-MRG@MICCAI, 2024)