Clifton D. Fuller - researchr alias

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Viewing Publication 1 - 22 from 22

2023

A transformer-based hierarchical registration framework for multimodality deformable image registrationYao Zhao, Xinru Chen, Brigid McDonald, Cenji Yu, Abdalah S. R. Mohamed, Clifton D. Fuller, Laurence E. Court, Tinsu Pan, He Wang, Xin Wang, Jack Phan, Jinzhong Yang. cmig, 108:102286, September 2023. [doi]

2022

Estimating the optimal linear combination of predictors using spherically constrained optimizationPriyam Das, Debsurya De, Raju Maiti, Mona Kamal, Katherine A. Hutcheson, Clifton D. Fuller, Bibhas Chakraborty, Christine B. Peterson. bmcbi, 23-S(3):436, 2022. [doi]

A debate on the extension of the Practice Pathway for ABMS clinical informatics board certification for physicians in the United StatesEllen Kim, Christoph U. Lehmann, William R. Hersh, Clifton D. Fuller, Bruce P. Levy. amia 2022: [doi]

A Tale of Two Centers: Visual Exploration of Health Disparities in Cancer CareSanjana Srabanti, Michael Tran, Virginie Achim, Clifton D. Fuller, Guadalupe Canahuate, Fabio Miranda 0002, G. Elisabeta Marai. apvis 2022: 101-110 [doi]

2021

Novel Autosegmentation Spatial Similarity Metrics Capture the Time Required to Correct Segmentations Better Than Traditional Metrics in a Thoracic Cavity Segmentation WorkflowKendall J. Kiser, Arko Barman, Sonja Stieb, Clifton D. Fuller, Luca Giancardo. jdi, 34(3):541-553, 2021. [doi]

Head and Neck Cancer Primary Tumor Auto Segmentation Using Model Ensembling of Deep Learning in PET/CT ImagesMohamed A. Naser, Kareem A. Wahid, Lisanne van Dijk, Renjie He, Moamen Abobakr Abdelaal, Cem Dede, Abdallah Sherif Radwan Mohamed, Clifton D. Fuller. miccai 2022: 121-133 [doi]

Progression Free Survival Prediction for Head and Neck Cancer Using Deep Learning Based on Clinical and PET/CT Imaging DataMohamed A. Naser, Kareem A. Wahid, Abdallah Sherif Radwan Mohamed, Moamen Abobakr Abdelaal, Renjie He, Cem Dede, Lisanne van Dijk, Clifton D. Fuller. miccai 2022: 287-299 [doi]

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 CarcinomaKareem A. Wahid, Renjie He, Cem Dede, Abdallah Sherif Radwan Mohamed, Moamen Abobakr Abdelaal, Lisanne van Dijk, Clifton D. Fuller, Mohamed A. Naser. miccai 2022: 300-307 [doi]

2020

Simultaneously spatial and temporal higher-order total variations for noise suppression and motion reduction in DCE and IVIMRenjie He, Yao Ding, Abdallah Sherif Radwan Mohamed, Sweet Ping Ng, Rachel B. Ger, Hesham Elhalawani, Baher A. Elgohari, Kristina H. Young, Katherine A. Hutcheson, Clifton D. Fuller, Stephen Y. Lai. miip 2020: [doi]

A spatial neighborhood methodology for computing and analyzing lymph node carcinoma similarity in precision medicineTimothy Luciani, A. Wentzel, Baher Elgohari, Hesham Elhalawani, A. Mohamed, Guadalupe Canahuate, David M. Vock, Clifton D. Fuller, G. Elisabeta Marai. jbix, 5:100067, 2020. [doi]

Tumor Segmentation in Patients with Head and Neck Cancers Using Deep Learning Based-on Multi-modality PET/CT ImagesMohamed A. Naser, Lisanne van Dijk, Renjie He, Kareem A. Wahid, Clifton D. Fuller. miccai 2021: 85-98 [doi]

Cohort-based T-SSIM Visual Computing for Radiation Therapy Prediction and ExplorationA. Wentzel, Peter Hanula, Timothy Luciani, B. Elgohari, Hesham Elhalawani, Guadalupe Canahuate, David M. Vock, Clifton D. Fuller, G. Elisabeta Marai. tvcg, 26(1):949-959, 2020. [doi]

2018

2015

2014

Development of a Software for Quantitative Evaluation Radiotherapy Target and Organ-at-Risk Segmentation ComparisonJayashree Kalpathy-Cramer, Musaddiq Awan, Steven Bedrick, Coen R. N. Rasch, David I. Rosenthal, Clifton D. Fuller. jdi, 27(1):108-119, 2014. [doi]

2006

In-vivo Measurement of Surgical Needle Intervention Parameters: A Pilot StudyTarun Kanti Podder, Jason Sherman, Clifton D. Fuller, Edward Messing, Deborah J. Rubens, John G. Strang, Ralph Brasacchio, Yan Yu. embc 2006: 3652-3655 [doi]

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