Correlating Toxicity Outcomes with Spatial Patterns of Lymph Node Metastasis for Oropharyngeal Cancer Patients

B. Elgohari , T. Luciani , H. Elhalawani , A.S. Mohamed
International Journal of Radiation Oncology Biology Physics 105 ( 1)

2019
Cohort-Based Spatial Similarity Can Predict Radiotherapy Dose Distribution

B. Elgohari , A. Wentzel , P. Hanula , T. Luciani
International Journal of Radiation Oncology Biology Physics 105 ( 1)

2019
Cohort-based T-SSIM Visual Computing for Radiation Therapy Prediction and Exploration

A. Wentzel , P. Hanula , T. Luciani , B. Elgohari
IEEE Transactions on Visualization and Computer Graphics 26 ( 1) 949 -959

19
2020
Visualizing Symptom Development During Head and Neck Cancer Treatment

C Floricel , A Wentzel , Md NA Nipu , N Kumar
Smpte Journal

Court LE, Freymann J, Farahani K, Kaplathy-Cramer J. and Fuller CD,“

H Elhalawani , TA Lin , S Volpe , ASR Mohamed
Machine Learning Applications in Head and Neck Radiation Oncology: Lessons From Open-Source Radiomics Challenges.,” Frontiers in oncology 8 294 -294

6
2018
Machine learning applications in head and neck radiation oncology

H Elhalawani , TA Lin , S Volpe , ASR Mohamed

2018
Serial Parotid Gland Radiomic-based Model Predicts Post-Radiation Xerostomia in Oropharyngeal Cancer

H Elhalawani , ASR Mohamed , A Kanwar , A Dursteler
Radiotherapy and Oncology 127 ( Suppl. 1) S1167 -S1168

5
2018
Investigation of radiomic signatures for local recurrence using primary tumor texture analysis in oropharyngeal head and neck cancer patients

MD Anderson Cancer Center Head , Neck Quantitative Imaging Working Group ,
Scientific reports 8 ( 1) 1524 -1524

76
2018
32
2017