Kyle Lafata

9PUBLICATIONS
45CO-AUTHORS
Bioinformatic methods developmentDeep learningCancer therapy (excl. chemotherapy and radiation therapy)Predictive and prognostic markersComputational imaging
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Publications (9)

|Nov 24, 2025
Clinical Relevance of Computationally Derived Attributes of Arteries and Arterioles in focal segmental glomerulosclerosis and minimal change disease.

Jin Zhou, Dawit Demeke, Xiang Li

|Jun 09, 2023
Systematic Analysis of Common Factors Impacting Deep Learning Model Generalizability in Liver Segmentation.

Brandon Konkel, Jacob Macdonald, Kyle Lafata

|Oct 09, 2022
CT-derived body composition measurements as predictors for neoadjuvant treatment tolerance and survival in gastroesophageal adenocarcinoma.

Mariana R DeFreitas, Amadu Toronka, Marybeth A Nedrud

|Sep 07, 2021
CT Radiomic Features of Superior Mesenteric Artery Involvement in Pancreatic Ductal Adenocarcinoma: A Pilot Study.

Francesca Rigiroli, Jocelyn Hoye, Reginald Lerebours

|Aug 26, 2021
Radiomics: a primer on high-throughput image phenotyping.

Kyle J Lafata, Yuqi Wang, Brandon Konkel

|Jun 11, 2021
Radiogenomic Analysis of Locally Advanced Lung Cancer Based on CT Imaging and Intratreatment Changes in Cell-Free DNA.

Kyle J Lafata, Michael N Corradetti, Junheng Gao

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Frequent Collaborators

3 joint publications

Mustafa R Bashir

2 joint publications

Brandon Konkel

2 joint publications

Islam H Zaki

1 joint publications

Hanyu Jiang