Clifton D. Fuller

Orcid: 0000-0002-5264-3994

According to our database1, Clifton D. Fuller authored at least 38 papers between 2006 and 2024.

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

Timeline

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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

Combination Chemotherapy Optimization with Discrete Dosing.
INFORMS J. Comput., 2024

DITTO: A Visual Digital Twin for Interventions and Temporal Treatment Outcomes in Head and Neck Cancer.
CoRR, 2024

Collaborative Filtering for the Imputation of Patient Reported Outcomes.
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

DASS Good: Explainable Data Mining of Spatial Cohort Data.
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
THALIS: Human-Machine Analysis of Longitudinal Symptoms in Cancer Therapy.
IEEE Trans. Vis. Comput. Graph., 2022

Head and neck tumor segmentation in PET/CT: The HECKTOR challenge.
Medical Image Anal., 2022

Estimating the optimal linear combination of predictors using spherically constrained optimization.
BMC Bioinform., 2022


A Tale of Two Centers: Visual Exploration of Health Disparities in Cancer Care.
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

Identifying Symptom Clusters Through Association Rule Mining.
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

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

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
Robot-Assisted Prostate Brachytherapy.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2006

Semi-automated Needling and Seed Delivery Device for Prostate Brachytherapy.
Proceedings of the 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2006

Efficacy of Prostate Stabilizing Techniques during Brachytherapy Procedure.
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

In-vivo Measurement of Surgical Needle Intervention Parameters: A Pilot Study.
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006


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