Kyle J. Lafata

14 papers Journal 12Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Concordance-based Predictive Uncertainty (CPU)-Index: Proof-of-concept with application towards improved specificity of lung cancers on low dose screening CT. Artif. Intell. Medicine 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
2025	J	`jnl`	Evaluating Large Language Models for Zero-Shot Disease Labeling in CT Radiology Reports Across Organ Systems. CoRR Michael E. Garcia-Alcoser, Mobina Ghojogh Nejad, Fakrul Islam Tushar, David Kim, Kyle J. Lafata, Geoffrey D. Rubin, Joseph Y. Lo
2025	—	`conf`	Large Intestine 3D Shape Refinement Using Conditional Latent Point Diffusion Models. ShapeMI@MICCAI Kaouther Mouheb, Mobina Ghojogh Nejad, Lavsen Dahal, Ehsan Samei, Kyle J. Lafata, William Paul Segars, Joseph Y. Lo
2025	J	`jnl`	SYN-LUNGS: Towards Simulating Lung Nodules with Anatomy-Informed Digital Twins for AI Training. CoRR Fakrul Islam Tushar, Lavsen Dahal, Cindy McCabe, Fong Chi Ho, Paul Segars, Ehsan Abadi, Kyle J. Lafata, Ehsan Samei, Joseph Y. Lo
2025	J	`jnl`	Virtual lung screening trial (VLST): An in silico study inspired by the national lung screening trial for lung cancer detection. Medical Image Anal. 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, Tina D. Tailor, Sheng Luo, William Paul Segars, Ehsan Abadi, Kyle J. Lafata, Joseph Y. Lo, Ehsan Samei
2025	J	`jnl`	XCAT 3.0: A comprehensive library of personalized digital twins derived from CT scans. Medical Image Anal. Lavsen Dahal, Mobina Ghojogh Nejad, Liesbeth Vancoillie, Dhrubajyoti Ghosh, Yubraj Bhandari, David Kim, Fong Chi Ho, Fakrul Islam Tushar, Sheng Luo, Kyle J. Lafata, Ehsan Abadi, Ehsan Samei, Joseph Y. Lo, William Paul Segars
2024	J	`jnl`	AI in Lung Health: Benchmarking Detection and Diagnostic Models Across Multiple CT Scan Datasets. CoRR Fakrul Islam Tushar, Avivah Wang, Lavsen Dahal, Michael R. Harowicz, Kyle J. Lafata, Tina D. Tailor, Joseph Y. Lo
2024	J	`jnl`	XCAT-3.0: A Comprehensive Library of Personalized Digital Twins Derived from CT Scans. CoRR Lavsen Dahal, Mobina Ghojogh Nejad, Dhrubajyoti Ghosh, Yubraj Bhandari, David Kim, Fong Chi Ho, Fakrul Islam Tushar, Sheng Luo, Kyle J. Lafata, Ehsan Abadi, Ehsan Samei, Joseph Y. Lo, William Paul Segars
2023	J	`jnl`	A personalized Uncertainty Quantification framework for patient survival models: estimating individual uncertainty of patients with metastatic brain tumors in the absence of ground truth. CoRR 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
2023	J	`jnl`	Duke Spleen Data Set: A Publicly Available Spleen MRI and CT dataset for Training Segmentation. CoRR 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
2022	J	`jnl`	A Neural Ordinary Differential Equation Model for Visualizing Deep Neural Network Behaviors in Multi-Parametric MRI based Glioma Segmentation. CoRR Zhenyu Yang, Zongsheng Hu, Hangjie Ji, Kyle J. Lafata, Scott Floyd, Fang-Fang Yin, Chunhao Wang
2022	J	`jnl`	Quantifying U-Net Uncertainty in Multi-Parametric MRI-based Glioma Segmentation by Spherical Image Projection. CoRR Zhenyu Yang, Kyle J. Lafata, Eugene Vaios, Zongsheng Hu, Trey Mullikin, Fang-Fang Yin, Chunhao Wang
2022	—	`conf`	Spectral micro-CT and radiomic analysis for classification of tumors based on lymphocytic burden in cancer therapy studies. Biomedical Applications in Molecular, Structural, and Functional Imaging 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
2021	J	`jnl`	Post-Radiotherapy PET Image Outcome Prediction by Deep Learning under Biological Model Guidance: A Feasibility Study of Oropharyngeal Cancer Application. CoRR Hangjie Ji, Kyle J. Lafata, Yvonne M. Mowery, David Brizel, Andrea L. Bertozzi, Fang-Fang Yin, Chunhao Wang