Publications by authors named "Kenny Cha"

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Statistical testing of agreement in overlap-based performance between an AI segmentation device and a multi-expert human panel without requiring a reference standard.
Tingting Hu, Berkman Sahiner, Shuyue Guan, Mike Mikailov, Kenny Cha

J Med Imaging (Bellingham)· September 2025

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A comparison of Bayesian and score methods for interval estimates of positive/negative likelihood ratios in support of diagnostic device performance evaluation.
Tingting Hu, Berkman Sahiner, Nicholas Petrick, Kenny Cha, Si Wen

J Biopharm Stat· June 2025

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Bias Amplification to Facilitate the Systematic Evaluation of Bias Mitigation Methods.
Alexis Burgon, Yuhang Zhang, Nicholas Petrick, Berkman Sahiner, Kenny H Cha

IEEE J Biomed Health Inform· February 2025

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Methodology for Good Machine Learning with Multi-Omics Data.
Thibaud Coroller, Berkman Sahiner, Anup Amatya, Alexej Gossmann, Konstantinos Karagiannis, Kenny H Cha, Rosane Charlab, Arunava Chakravartty

Clin Pharmacol Ther· April 2024

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Decision region analysis for generalizability of artificial intelligence models: estimating model generalizability in the case of cross-reactivity and population shift.
Alexis Burgon, Berkman Sahiner, Nicholas Petrick, Gene Pennello, Kenny H Cha

J Med Imaging (Bellingham)· January 2024

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End-to-end deep learning method for predicting hormonal treatment response in women with atypical endometrial hyperplasia or endometrial cancer.
Seyed Kahaki, Ian S Hagemann, Kenny H Cha, Christopher Trindade, Nicholas Petrick

J Med Imaging (Bellingham)· January 2024

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Artificial intelligence in medicine: mitigating risks and maximizing benefits via quality assurance, quality control, and acceptance testing.
Usman Mahmood, Amita Shukla-Dave, Heang-Ping Chan, Karen Drukker, Ravi K Samala, Kenny H Cha, Richard Mazurchuk

BJR Artif Intell· January 2024

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AI and machine learning in medical imaging: key points from development to translation.
Ravi K Samala, Karen Drukker, Amita Shukla-Dave, Heang-Ping Chan, Berkman Sahiner, Kenny H Cha, Richard Mazurchuk

BJR Artif Intell· January 2024

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AFE-GAN: Synthesizing Electrocardiograms with Atrial Fibrillation Characteristics Using Generative Adversarial Networks.
Xianglong Wang, Berkman Sahiner, Christopher G Scully, Kenny H Cha

Annu Int Conf IEEE Eng Med Biol Soc· July 2023

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AAPM task group report 273: Recommendations on best practices for AI and machine learning for computer-aided diagnosis in medical imaging.
Lubomir Hadjiiski, Kenny Cha, Heang-Ping Chan, Karen Drukker, Lia Morra, Richard Mazurchuk

Med Phys· February 2023

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A Competition, Benchmark, Code, and Data for Using Artificial Intelligence to Detect Lesions in Digital Breast Tomosynthesis.
Nicholas Konz, Mateusz Buda, Hanxue Gu, Ashirbani Saha, Jichen Yang, Michal Ozery-Flato, Kenny Cha

JAMA Netw Open· February 2023

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Weakly Supervised Deep Learning for Predicting the Response to Hormonal Treatment of Women with Atypical Endometrial Hyperplasia: A Feasibility Study.
Seyed Kahaki, Ian S Hagemann, Kenny Cha, Christopher J Trindade, Nicholas Petrick

Proc SPIE Int Soc Opt Eng· February 2023

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Profiling the BLAST bioinformatics application for load balancing on high-performance computing clusters.
Trinity Cheng, Pei-Ju Chin, Kenny Cha, Nicholas Petrick, Mike Mikailov

BMC Bioinformatics· December 2022

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Computerized Decision Support for Bladder Cancer Treatment Response Assessment in CT Urography: Effect on Diagnostic Accuracy in Multi-Institution Multi-Specialty Study.
Di Sun, Lubomir Hadjiiski, Ajjai Alva, Yousef Zakharia, Monika Joshi, Heang-Ping Chan, Richard H Cohan, Kenny H Cha

Tomography· March 2022

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SPIE-AAPM-NCI BreastPathQ challenge: an image analysis challenge for quantitative tumor cellularity assessment in breast cancer histology images following neoadjuvant treatment.
Nicholas Petrick, Shazia Akbar, Kenny H Cha, Sharon Nofech-Mozes, Berkman Sahiner

J Med Imaging (Bellingham)· May 2021

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Prediction of Disease Free Survival in Laryngeal and Hypopharyngeal Cancers Using CT Perfusion and Radiomic Features: A Pilot Study.
Sean Woolen, Apurva Virkud, Lubomir Hadjiiski, Kenny Cha, Heang-Ping Chan

Tomography· March 2021

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Intraobserver Variability in Bladder Cancer Treatment Response Assessment With and Without Computerized Decision Support.
Lubomir M Hadjiiski, Kenny H Cha, Richard H Cohan, Heang-Ping Chan, Elaine M Caoili

Tomography· June 2020

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Evaluation of data augmentation via synthetic images for improved breast mass detection on mammograms using deep learning.
Kenny H Cha, Nicholas Petrick, Aria Pezeshk, Christian G Graff, Diksha Sharma

J Med Imaging (Bellingham)· January 2020

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Diagnostic Accuracy of CT for Prediction of Bladder Cancer Treatment Response with and without Computerized Decision Support.
Kenny H Cha, Lubomir M Hadjiiski, Richard H Cohan, Heang-Ping Chan, Elaine M Caoili

Acad Radiol· September 2019

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U-Net based deep learning bladder segmentation in CT urography.
Xiangyuan Ma, Lubomir M Hadjiiski, Jun Wei, Heang-Ping Chan, Kenny H Cha, Richard H Cohan

Med Phys· April 2019

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Deep Learning Approach for Assessment of Bladder Cancer Treatment Response.
Eric Wu, Lubomir M Hadjiiski, Ravi K Samala, Heang-Ping Chan, Kenny H Cha, Richard H Cohan

Tomography· March 2019

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Breast Cancer Diagnosis in Digital Breast Tomosynthesis: Effects of Training Sample Size on Multi-Stage Transfer Learning Using Deep Neural Nets.
Ravi K Samala, Heang-Ping Chan, Lubomir Hadjiiski, Mark A Helvie, Caleb D Richter, Kenny H Cha

IEEE Trans Med Imaging· March 2019

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Deep-learning convolutional neural network: Inner and outer bladder wall segmentation in CT urography.
Marshall N Gordon, Lubomir M Hadjiiski, Kenny H Cha, Ravi K Samala, Heang-Ping Chan, Richard H Cohan

Med Phys· February 2019

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Deep learning in medical imaging and radiation therapy.
Berkman Sahiner, Aria Pezeshk, Lubomir M Hadjiiski, Xiaosong Wang, Karen Drukker, Kenny H Cha

Med Phys· January 2019

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PROSTATEx Challenges for computerized classification of prostate lesions from multiparametric magnetic resonance images.
Samuel G Armato, Henkjan Huisman, Karen Drukker, Lubomir Hadjiiski, Justin S Kirby, Kenny Cha

J Med Imaging (Bellingham)· October 2018

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