Moamen Abobakr Abdelaal

According to our database, Moamen Abobakr Abdelaal authored at least 3 papers in 2021.

Collaborative distances:

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

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

Proceedings of the Head and Neck Tumor Segmentation and Outcome Prediction, 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

Proceedings of the Head and Neck Tumor Segmentation and Outcome Prediction, 2021

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

Proceedings of the Head and Neck Tumor Segmentation and Outcome Prediction, 2021