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Abdallah Sherif Radwan Mohamed
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2020 – today
- 2024
- [j6]Carla Floricel, Andrew Wentzel, Abdallah Sherif Radwan Mohamed, Clifton David Fuller
, Guadalupe Canahuate, G. Elisabeta Marai:
Roses Have Thorns: Understanding the Downside of Oncological Care Delivery Through Visual Analytics and Sequential Rule Mining. IEEE Trans. Vis. Comput. Graph. 30(1): 1227-1237 (2024) - 2023
- [c10]Yaohua Wang, Lisanne van Dijk, Abdallah Sherif Radwan Mohamed, Mohamed A. Naser
Improving Prediction of Late Symptoms using LSTM and Patient-reported Outcomes for Head and Neck Cancer Patients. ICHI 2023: 292-300 - 2022
- [j5]Carla Floricel, Nafiul Nipu, Mikayla Biggs, Andrew Wentzel, Guadalupe Canahuate, Lisanne van Dijk
THALIS: Human-Machine Analysis of Longitudinal Symptoms in Cancer Therapy. IEEE Trans. Vis. Comput. Graph. 28(1): 151-161 (2022) - [c9]Vincent Andrearczyk, Valentin Oreiller, Moamen Abobakr
Overview of the HECKTOR Challenge at MICCAI 2022: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT. HECKTOR@MICCAI 2022: 1-30 - 2021
- [j4]Souptik Barua
Computed Tomography Radiomics Kinetics as Early Imaging Correlates of Osteoradionecrosis in Oropharyngeal Cancer Patients. Frontiers Artif. Intell. 4: 618469 (2021) - [c8]Mikayla Biggs, Carla Floricel, Lisanne van Dijk
Identifying Symptom Clusters Through Association Rule Mining. AIME 2021: 491-496 - [c7]Yaohua Wang, Guadalupe Canahuate, Lisanne van Dijk
Predicting late symptoms of head and neck cancer treatment using LSTM and patient reported outcomes. IDEAS 2021: 273-279 - [c6]Mohamed A. Naser
Head and Neck Cancer Primary Tumor Auto Segmentation Using Model Ensembling of Deep Learning in PET/CT Images. HECKTOR@MICCAI 2021: 121-133 - [c5]Mohamed A. Naser
Progression Free Survival Prediction for Head and Neck Cancer Using Deep Learning Based on Clinical and PET/CT Imaging Data. HECKTOR@MICCAI 2021: 287-299 - [c4]Kareem A. Wahid
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. HECKTOR@MICCAI 2021: 300-307 - [i2]Carla Floricel, Nafiul Nipu, Mikayla Biggs, Andrew Wentzel, Guadalupe Canahuate, Lisanne van Dijk, Abdallah Sherif Radwan Mohamed, Clifton David Fuller, G. Elisabeta Marai:
THALIS: Human-Machine Analysis of Longitudinal Symptoms in Cancer Therapy. CoRR abs/2108.02817 (2021) - 2020
- [j3]Timothy Luciani, Andrew Wentzel, Baher Elgohari
A spatial neighborhood methodology for computing and analyzing lymph node carcinoma similarity in precision medicine. J. Biomed. Informatics X 5: 100067 (2020) - [c3]Anando Sen, Charles V. Kingsley, Jorge de la Cerda, F. William Schuler, Abdallah Sherif Radwan Mohamed
Towards assessment of histopathology correlation with multiple imaging modalities: A pilot study using a visible mouse. Biomedical Applications in Molecular, Structural, and Functional Imaging 2020: 113172B - [c2]Renjie He, Yao Ding, Abdallah Sherif Radwan Mohamed
Simultaneously spatial and temporal higher-order total variations for noise suppression and motion reduction in DCE and IVIM. Image Processing 2020: 113132K - [c1]Andrew Wentzel, Guadalupe Canahuate, Lisanne van Dijk
Explainable Spatial Clustering: Leveraging Spatial Data in Radiation Oncology. IEEE VIS (Short Papers) 2020: 281-285 - [i1]Andrew Wentzel, Guadalupe Canahuate, Lisanne van Dijk, Abdallah Sherif Radwan Mohamed, Clifton David Fuller, G. Elisabeta Marai:
Explainable Spatial Clustering: Leveraging Spatial Data in Radiation Oncology. CoRR abs/2008.11282 (2020)
2010 – 2019
- 2019
- [j2]G. Elisabeta Marai
Precision Risk Analysis of Cancer Therapy with Interactive Nomograms and Survival Plots. IEEE Trans. Vis. Comput. Graph. 25(4): 1732-1745 (2019) - 2015
- [j1]Jared D. Sturgeon, John A. Cox, Lauren L. Mayo, G. Brandon Gunn
Improved human observer performance in digital reconstructed radiograph verification in head and neck cancer radiotherapy. Int. J. Comput. Assist. Radiol. Surg. 10(10): 1667-1673 (2015)
Coauthor Index
aka: Clifton David Fuller
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last updated on 2024-11-28 20:33 CET by the dblp team
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