Post-Radiotherapy PET Image Outcome Prediction by Deep Learning under Biological Model Guidance: A Feasibility Study of Oropharyngeal Cancer Application. - Hangjie Ji; Kyle J. Lafata; Yvonne M. Mowery; David Brizel; Andrea L. Bertozzi; Fang-Fang Yin; Chunhao Wang (CoRR, 2021)

Spectral micro-CT and radiomic analysis for classification of tumors based on lymphocytic burden in cancer therapy studies. - Alex J. Allphin; Yvonne M. Mowery; Kyle J. Lafata; Darin P. Clark; A. Basil; Rico Castillo; Matthew D. Holbrook; Ketan B. Ghaghada; Cristian T. Badea (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2022)

A Neural Ordinary Differential Equation Model for Visualizing Deep Neural Network Behaviors in Multi-Parametric MRI based Glioma Segmentation. - Zhenyu Yang; Zongsheng Hu; Hangjie Ji; Kyle J. Lafata; Scott Floyd; Fang-Fang Yin; Chunhao Wang (CoRR, 2022)

Quantifying U-Net Uncertainty in Multi-Parametric MRI-based Glioma Segmentation by Spherical Image Projection. - Zhenyu Yang; Kyle J. Lafata; Eugene Vaios; Zongsheng Hu; Trey Mullikin; Fang-Fang Yin; Chunhao Wang (CoRR, 2022)

Privacy-preserving Job Scheduler for GPU Sharing. - Aritra Ray; Kyle Lafata; Zhaobo Zhang; Ying Xiong; Krishnendu Chakrabarty (CCGridW, 2023)

Blood Glucose Prediction for Type-1 Diabetics using Deep Reinforcement Learning. - Peter Domanski; Aritra Ray; Farshad Firouzi; Kyle Lafata; Krishnendu Chakrabarty; Dirk Pflüger (ICDH, 2023)

Digital staining in optical microscopy using deep learning - a review. - Lucas Kreiss; Shaowei Jiang; Xiang Li; Shiqi Xu; Kevin C. Zhou; Alexander Mühlberg; Kyung Chul Lee; Kanghyun Kim; Amey Chaware; D. Michael Ando; Laura Barisoni; Seung Ah Lee; et al. (CoRR, 2023)

Duke Spleen Data Set: A Publicly Available Spleen MRI and CT dataset for Training Segmentation. - Yuqi Wang; Jacob A. Macdonald; Katelyn R. Morgan; Danielle Hom; Sarah Cubberley; Kassi Sollace; Nicole Casasanto; Islam H. Zaki; Kyle J. Lafata; Mustafa R. Bashir (CoRR, 2023)

A personalized Uncertainty Quantification framework for patient survival models: estimating individual uncertainty of patients with metastatic brain tumors in the absence of ground truth. - Yuqi Wang; Aarzu Gupta; David Carpenter; Trey Mullikin; Zachary J. Reitman; Scott Floyd; John Kirkpatrick; Joseph K. Salama; Paul W. Sperduto; Jian-Guo Liu; Mustafa R. Bashir; Kyle J. Lafata (CoRR, 2023)

Neural Architecture Search for Blood Glucose Prediction in Type-1 Diabetics. - Anthony Liardo; Aritra Ray; Farshad Firouzi; Kyle Lafata; Krishnendu Chakrabarty (BSN, 2024)

Preserving Accuracy While Stealing Watermarked Deep Neural Networks. - Aritra Ray; Farshad Firouzi; Kyle Lafata; Krishnendu Chakrabarty (ICMLA, 2024)

AI in Lung Health: Benchmarking Detection and Diagnostic Models Across Multiple CT Scan Datasets. - Fakrul Islam Tushar; Avivah Wang; Lavsen Dahal; Michael R. Harowicz; Kyle J. Lafata; Tina D. Tailor; Joseph Y. Lo (CoRR, 2024)

XCAT-3.0: A Comprehensive Library of Personalized Digital Twins Derived from CT Scans. - Lavsen Dahal; Mobina Ghojogh Nejad; Dhrubajyoti Ghosh; Yubraj Bhandari; David Kim; Fong Chi Ho; Fakrul Islam Tushar; Sheng Luo 005; Kyle J. Lafata; Ehsan Abadi; Ehsan Samei; Joseph Y. Lo; et al. (CoRR, 2024)

Concordance-based Predictive Uncertainty (CPU)-Index: Proof-of-concept with application towards improved specificity of lung cancers on low dose screening CT. - Yuqi Wang; Aarzu Gupta; Fakrul Islam Tushar; Breylon Riley; Avivah Wang; Tina D. Tailor; Stacy L. Tantum; Jian-Guo Liu; Mustafa R. Bashir; Joseph Y. Lo; Kyle J. Lafata (Artif. Intell. Medicine, 2025)

XCAT 3.0: A comprehensive library of personalized digital twins derived from CT scans. - Lavsen Dahal; Mobina Ghojogh Nejad; Liesbeth Vancoillie; Dhrubajyoti Ghosh; Yubraj Bhandari; David Kim; Fong Chi Ho; Fakrul Islam Tushar; Sheng Luo 005; Kyle J. Lafata; Ehsan Abadi; Ehsan Samei; et al. (Medical Image Anal., 2025)

Virtual lung screening trial (VLST): An in silico study inspired by the national lung screening trial for lung cancer detection. - Fakrul Islam Tushar; Liesbeth Vancoillie; Cindy McCabe; Amareswararao Kavuri; Lavsen Dahal; Brian P. Harrawood; Milo Fryling; Mojtaba Zarei; Saman Sotoudeh-Paima; Fong Chi Ho; Dhrubajyoti Ghosh; Michael R. Harowicz; et al. (Medical Image Anal., 2025)

SYN-LUNGS: Towards Simulating Lung Nodules with Anatomy-Informed Digital Twins for AI Training. - Fakrul Islam Tushar; Lavsen Dahal; Cindy McCabe; Fong Chi Ho; Paul Segars; Ehsan Abadi; Kyle J. Lafata; Ehsan Samei; Joseph Y. Lo (CoRR, 2025)

Evaluating Large Language Models for Zero-Shot Disease Labeling in CT Radiology Reports Across Organ Systems. - Michael E. Garcia-Alcoser; Mobina Ghojogh Nejad; Fakrul Islam Tushar; David Kim; Kyle J. Lafata; Geoffrey D. Rubin; Joseph Y. Lo (CoRR, 2025)