Publications by authors named "Kyle Lafata"

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Evaluation of unified harmonization of CT images across multiple tasks: A step towards AI generalizability.
Shao-Jun Xia, Liesbeth Vancoillie, Saman Sotoudeh-Paima, Mojtaba Zarei, Fong Chi Ho, Kyle J Lafata

Med Phys· November 2025

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An Explainable Deep Model for Risk Scoring and Accurate Radionecrosis Identification Following Brain Metastasis Stereotactic Radiosurgery.
Jingtong Zhao, Eugene Vaios, Evan Calabrese, Zhenyu Yang, John Ginn, Kyle Lafata

Int J Radiat Oncol Biol Phys· November 2025

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Investigating the Role of Area Deprivation Index in Observed Differences in CT-Based Body Composition by Race.
Miriam Chisholm, Mohamed Sobhi Jabal, Hongyu He, Yuqi Wang, Kevin Kalisz, Kyle J Lafata

J Am Coll Radiol· October 2025

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Computational Characterization of Lymphocyte Topology on Whole Slide Images of Glomerular Diseases.
Xiang Li, Manav Shah, Qian Liu, Jin Zhou, Gina Sotolongo, Kyle J Lafata

J Am Soc Nephrol· October 2025

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Clinical Relevance of Computationally Derived Attributes of Arteries and Arterioles in focal segmental glomerulosclerosis and minimal change disease.
Jin Zhou, Dawit Demeke, Xiang Li, Timothy Dinh, Christopher O'Connor, Kyle J Lafata

medRxiv· October 2025

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Glomerular Segmentation, Classification, and Pathomic Feature-based Prediction of Clinical Outcomes in Minimal Change Disease and Focal Segmental Glomerulosclerosis.
Akhil Ambekar, Maryam Roohian, Qian Liu, Bangchen Wang, Fan Fan, Kyle Lafata

medRxiv· October 2025

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Development and application of a novel tumor habitat analysis technique based on dynamical modeling.
Jack B Stevens, Jihyeon Je, Breylon A Riley, Yvonne M Mowery, David M Brizel, Kyle J Lafata

Med Phys· September 2025

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Clinical relevance of computationally derived tubular features and their spatial relationships with the interstitial microenvironment in minimal change disease/focal segmental glomerulosclerosis.
Fan Fan, Qian Liu, Jarcy Zee, Takaya Ozeki, Dawit Demeke, Kyle J Lafata

Kidney Int· August 2025

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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, Kyle J Lafata

Med Image Anal· July 2025

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The Duke Lung Cancer Screening (DLCS) Dataset: A Reference Dataset of Annotated Low-Dose Screening Thoracic CT.
Avivah J Wang, Fakrul Islam Tushar, Michael R Harowicz, Betty C Tong, Kyle J Lafata

Radiol Artif Intell· July 2025

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XCAT 3.0: A comprehensive library of personalized digital twins derived from CT scans.
Lavsen Dahal, Mobina Ghojoghnejad, Liesbeth Vancoillie, Dhrubajyoti Ghosh, Yubraj Bhandari, Kyle J Lafata

Med Image Anal· July 2025

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Virtual Lung Screening Trial (VLST): An Study Inspired by the National Lung Screening Trial for Lung Cancer Detection.
Fakrul Islam Tushar, Liesbeth Vancoillie, Cindy McCabe, Amareswararao Kavuri, Lavsen Dahal, Kyle J Lafata

ArXiv· April 2025

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Radiogenomic explainable AI with neural ordinary differential equation for identifying post-SRS brain metastasis radionecrosis.
Jingtong Zhao, Eugene Vaios, Zhenyu Yang, Ke Lu, Scott Floyd, Kyle J Lafata

Med Phys· April 2025

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Computational characterization of lymphocyte topology on whole slide images of glomerular diseases.
Xiang Li, Manav Shah, Qian Liu, Jin Zhou, Gina Sotolongo, Kyle J Lafata

medRxiv· April 2025

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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, Kyle J Lafata

Artif Intell Med· February 2025

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The Role of Harmonization: A Systematic Analysis of Various Task-based Scenarios.
Shao-Jun Xia, Liesbeth Vancoillie, Saman Sotoudeh-Paima, Mojtaba Zarei, Fong Chi Ho, Kyle J Lafata

Proc SPIE Int Soc Opt Eng· February 2025

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Long-term, automated stool monitoring using a novel smart toilet: A feasibility study.
Jin Zhou, Yuying Luo, Julia W Darcy, Kyle J Lafata, Jose R Ruiz

Neurogastroenterol Motil· January 2025

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Uncertainty quantification in multi-parametric MRI-based meningioma radiotherapy target segmentation.
Lana Wang, Zhenyu Yang, Dominic LaBella, Zachary Reitman, John Ginn, Kyle Lafata

Front Oncol· January 2025

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Clinical Relevance of Computational Pathology Analysis of Interplay Between Kidney Microvasculature and Interstitial Microenvironment.
Yijiang Chen, Bangchen Wang, Dawit Demeke, Fan Fan, Celine Berthier, Kyle Lafata

Clin J Am Soc Nephrol· December 2024

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Computational staining of CD3/CD20 positive lymphocytes in human tissues with experimental confirmation in a genetically engineered mouse model.
Xiang Li, Casey C Heirman, Ashlyn G Rickard, Gina Sotolongo, Rico Castillo, Kyle J Lafata

Front Immunol· November 2024

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Dose-Incorporated Deep Ensemble Learning for Improving Brain Metastasis Stereotactic Radiosurgery Outcome Prediction.
Jingtong Zhao, Eugene Vaios, Yuqi Wang, Zhenyu Yang, Yunfeng Cui, Kyle J Lafata

Int J Radiat Oncol Biol Phys· October 2024

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Characterization of arteriosclerosis based on computer-aided measurements of intra-arterial thickness.
Jin Zhou, Xiang Li, Dawit Demeke, Timothy A Dinh, Yingbao Yang, Kyle J Lafata

J Med Imaging (Bellingham)· September 2024

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Clinical Relevance of Computationally Derived Tubular Features: Spatial Relationships and the Development of Tubulointerstitial Scarring in MCD/FSGS.
Fan Fan, Qian Liu, Jarcy Zee, Takaya Ozeki, Dawit Demeke, Kyle Lafata

medRxiv· July 2024

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Prognostic value of different discretization parameters in fluorodeoxyglucose positron emission tomography radiomics of oropharyngeal squamous cell carcinoma.
Breylon A Riley, Jack B Stevens, Xiang Li, Zhenyu Yang, Chunhao Wang, Kyle J Lafata

J Med Imaging (Bellingham)· March 2024

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Artificial intelligence across oncology specialties: current applications and emerging tools.
John Kang, Kyle Lafata, Ellen Kim, Christopher Yao, Frank Lin

BMJ Oncol· January 2024

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