Abdallah Sherif Radwan Mohamed

Orcid: 0000-0003-2064-7613

According to our database1, Abdallah Sherif Radwan Mohamed authored at least 16 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2024
Roses Have Thorns: Understanding the Downside of Oncological Care Delivery Through Visual Analytics and Sequential Rule Mining.
IEEE Trans. Vis. Comput. Graph., January, 2024

2023
Improving Prediction of Late Symptoms using LSTM and Patient-reported Outcomes for Head and Neck Cancer Patients.
Proceedings of the 11th IEEE International Conference on Healthcare Informatics, 2023

2022
THALIS: Human-Machine Analysis of Longitudinal Symptoms in Cancer Therapy.
IEEE Trans. Vis. Comput. Graph., 2022


2021
Computed Tomography Radiomics Kinetics as Early Imaging Correlates of Osteoradionecrosis in Oropharyngeal Cancer Patients.
Frontiers Artif. Intell., 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.
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.
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.
Proceedings of the Head and Neck Tumor Segmentation and Outcome Prediction, 2021

Predicting late symptoms of head and neck cancer treatment using LSTM and patient reported outcomes.
Proceedings of the IDEAS 2021: 25th International Database Engineering & Applications Symposium, 2021

Identifying Symptom Clusters Through Association Rule Mining.
Proceedings of the Artificial Intelligence in Medicine, 2021

2020
A spatial neighborhood methodology for computing and analyzing lymph node carcinoma similarity in precision medicine.
J. Biomed. Informatics X, 2020

Explainable Spatial Clustering: Leveraging Spatial Data in Radiation Oncology.
Proceedings of the 31st IEEE Visualization Conference, 2020

Simultaneously spatial and temporal higher-order total variations for noise suppression and motion reduction in DCE and IVIM.
Proceedings of the Medical Imaging 2020: Image Processing, 2020

Towards assessment of histopathology correlation with multiple imaging modalities: A pilot study using a visible mouse.
Proceedings of the Medical Imaging 2020: Biomedical Applications in Molecular, 2020

2019
Precision Risk Analysis of Cancer Therapy with Interactive Nomograms and Survival Plots.
IEEE Trans. Vis. Comput. Graph., 2019

2015
Improved human observer performance in digital reconstructed radiograph verification in head and neck cancer radiotherapy.
Int. J. Comput. Assist. Radiol. Surg., 2015


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