Kyle J. Lafata

According to our database, Kyle J. Lafata authored at least 18 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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, June, 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, February, 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, Tina D. Tailor, Sheng Luo, William Paul Segars, Ehsan Abadi, Kyle J. Lafata, Joseph Y. Lo, Ehsan Samei

Medical Image Anal., 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, Kyle J. Lafata, Ehsan Abadi, Ehsan Samei, Joseph Y. Lo, William Paul Segars

Medical Image Anal., 2025

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

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, Kyle J. Lafata, Ehsan Abadi, Ehsan Samei, Joseph Y. Lo, William Paul Segars

CoRR, 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

Preserving Accuracy While Stealing Watermarked Deep Neural Networks.

Aritra Ray, Farshad Firouzi, Kyle Lafata, Krishnendu Chakrabarty

Proceedings of the International Conference on Machine Learning and Applications, 2024

Neural Architecture Search for Blood Glucose Prediction in Type-1 Diabetics.

Anthony Liardo, Aritra Ray, Farshad Firouzi, Kyle Lafata, Krishnendu Chakrabarty

Proceedings of the 20th IEEE International Conference on Body Sensor Networks, 2024

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

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

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, Guoan Zheng, Kyle Lafata, Oliver Friedrich, Roarke Horstmeyer

CoRR, 2023

Blood Glucose Prediction for Type-1 Diabetics using Deep Reinforcement Learning.

Peter Domanski, Aritra Ray, Farshad Firouzi, Kyle Lafata, Krishnendu Chakrabarty, Dirk Pflüger

Proceedings of the IEEE International Conference on Digital Health, 2023

Privacy-preserving Job Scheduler for GPU Sharing.

Aritra Ray, Kyle Lafata, Zhaobo Zhang, Ying Xiong, Krishnendu Chakrabarty

Proceedings of the 23rd IEEE/ACM International Symposium on Cluster, 2023

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

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

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

Proceedings of the Medical Imaging 2022: Biomedical Applications in Molecular, 2022

2021

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