Clifton D. Fuller
Orcid: 0000-0002-5264-3994
According to our database1,
Clifton D. Fuller
authored at least 38 papers
between 2006 and 2025.
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Bibliography
2025
DITTO: A Visual Digital Twin for Interventions and Temporal Treatment Outcomes in Head and Neck Cancer.
IEEE Trans. Vis. Comput. Graph., January, 2025
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
Proceedings of the Database and Expert Systems Applications, 2024
2023
A transformer-based hierarchical registration framework for multimodality deformable image registration.
Comput. Medical Imaging Graph., September, 2023
Comput. Graph. Forum, June, 2023
Roses Have Thorns: Understanding the Downside of Oncological Care Delivery Through Visual Analytics and Sequential Rule Mining.
CoRR, 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
IEEE Trans. Vis. Comput. Graph., 2022
Medical Image Anal., 2022
Estimating the optimal linear combination of predictors using spherically constrained optimization.
BMC Bioinform., 2022
Overview of the HECKTOR Challenge at MICCAI 2022: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT.
Proceedings of the Head and Neck Tumor Segmentation and Outcome Prediction, 2022
Proceedings of the 15th IEEE Pacific Visualization Symposium, 2022
A debate on the extension of the Practice Pathway for ABMS clinical informatics board certification for physicians in the United States.
Proceedings of the AMIA 2022, 2022
2021
Novel Autosegmentation Spatial Similarity Metrics Capture the Time Required to Correct Segmentations Better Than Traditional Metrics in a Thoracic Cavity Segmentation Workflow.
J. Digit. Imaging, 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
Feasibility of Mobile and Sensor Technology for Remote Monitoring in Cancer Care and Prevention.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021
Proceedings of the Artificial Intelligence in Medicine, 2021
2020
Cohort-based T-SSIM Visual Computing for Radiation Therapy Prediction and Exploration.
IEEE Trans. Vis. Comput. Graph., 2020
A spatial neighborhood methodology for computing and analyzing lymph node carcinoma similarity in precision medicine.
J. Biomed. Informatics X, 2020
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
Tumor Segmentation in Patients with Head and Neck Cancers Using Deep Learning Based-on Multi-modality PET/CT Images.
Proceedings of the Head and Neck Tumor Segmentation - First Challenge, 2020
2019
Precision Risk Analysis of Cancer Therapy with Interactive Nomograms and Survival Plots.
IEEE Trans. Vis. Comput. Graph., 2019
2018
Practical guidelines for handling head and neck computed tomography artifacts for quantitative image analysis.
Comput. Medical Imaging Graph., 2018
Quantitative image feature variability amongst CT scanners with a controlled scan protocol.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018
2015
Improved human observer performance in digital reconstructed radiograph verification in head and neck cancer radiotherapy.
Int. J. Comput. Assist. Radiol. Surg., 2015
Comparison of measurement methods with a mixed effects procedure accounting for replicated evaluations (COM <sub>3</sub> PARE): method comparison algorithm implementation for head and neck IGRT positional verification.
BMC Medical Imaging, 2015
2014
Development of a Software for Quantitative Evaluation Radiotherapy Target and Organ-at-Risk Segmentation Comparison.
J. Digit. Imaging, 2014
2006
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2006
Proceedings of the 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2006
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006
Needle Insertion Force Estimation Model using Procedure-specific and Patient-specific Criteria.
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006