Comparison of CLASS and ITK-SNAP in segmentation of urinary bladder in CT urography. - Kenny H. Cha; Lubomir M. Hadjiiski; Heang-Ping Chan; Elaine M. Caoili; Richard H. Cohan; Chuan Zhou 002 (Computer-Aided Diagnosis, 2014)

Segmentation of urinary bladder in CT urography (CTU) using CLASS with enhanced contour conjoint procedure. - Kenny H. Cha; Lubomir M. Hadjiiski; Heang-Ping Chan; Richard H. Cohan; Elaine M. Caoili; Chuan Zhou 002 (Computer-Aided Diagnosis, 2014)

Computer-aided detection of bladder mass within contrast-enhanced region of CTU. - Kenny H. Cha; Lubomir M. Hadjiiski; Heang-Ping Chan; Elaine M. Caoili; Richard H. Cohan; Chuan Zhou 002 (Computer-Aided Diagnosis, 2015)

Ureter segmentation in CT urography (CTU) by COMPASS with multiscale Hessian enhancement. - Duncan Fairbanks; Lubomir M. Hadjiiski; Chuan Zhou 002; Heang-Ping Chan; Richard H. Cohan; Elaine M. Caoili; Kenny H. Cha (Computer-Aided Diagnosis, 2015)

Computer-aided detection of bladder mass within non-contrast-enhanced region of CT Urography (CTU). - Kenny H. Cha; Lubomir M. Hadjiiski; Heang-Ping Chan; Elaine M. Caoili; Richard H. Cohan; Alon Z. Weizer; Chuan Zhou 002 (Computer-Aided Diagnosis, 2016)

Comparison of bladder segmentation using deep-learning convolutional neural network with and without level sets. - Kenny H. Cha; Lubomir M. Hadjiiski; Ravi K. Samala; Heang-Ping Chan; Richard H. Cohan; Elaine M. Caoili (Computer-Aided Diagnosis, 2016)

Automatic detection of ureter lesions in CT urography. - Trevor Exell; Lubomir M. Hadjiiski; Heang-Ping Chan; Kenny H. Cha; Elaine M. Caoili; Richard H. Cohan; Jun Wei 002; Chuan Zhou 002 (Computer-Aided Diagnosis, 2016)

Automatic staging of bladder cancer on CT urography. - Sankeerth S. Garapati; Lubomir M. Hadjiiski; Kenny H. Cha; Heang-Ping Chan; Elaine M. Caoili; Richard H. Cohan; Alon Z. Weizer; Ajjai Alva; Chintana Paramagul; Jun Wei 002; Chuan Zhou 002 (Computer-Aided Diagnosis, 2016)

First and second-order features for detection of masses in digital breast tomosynthesis. - Ravi K. Samala; Jun Wei 002; Heang-Ping Chan; Lubomir M. Hadjiiski; Kenny H. Cha; Mark A. Helvie (Computer-Aided Diagnosis, 2016)

Deep-learning convolution neural network for computer-aided detection of microcalcifications in digital breast tomosynthesis. - Ravi K. Samala; Heang-Ping Chan; Lubomir M. Hadjiiski; Kenny H. Cha; Mark A. Helvie (Computer-Aided Diagnosis, 2016)

Reference state estimation of breast computed tomography for registration with digital mammography. - Ravi K. Samala; Heang-Ping Chan; Lubomir M. Hadjiiski; Ruola Ning; Kenny H. Cha; Mark A. Helvie (Computer-Aided Diagnosis, 2016)

Computer-aided detection of bladder masses in CT urography (CTU). - Kenny H. Cha; Lubomir M. Hadjiiski; Heang-Ping Chan; Elaine M. Caoili; Richard H. Cohan; Alon Z. Weizer; Ravi K. Samala (Computer-Aided Diagnosis, 2017)

Bladder cancer treatment response assessment using deep learning in CT with transfer learning. - Kenny H. Cha; Lubomir M. Hadjiiski; Heang-Ping Chan; Ravi K. Samala; Richard H. Cohan; Elaine M. Caoili; Chintana Paramagul; Ajjai Alva; Alon Z. Weizer (Computer-Aided Diagnosis, 2017)

Segmentation of inner and outer bladder wall using deep-learning convolutional neural network in CT urography. - Marshall Gordon; Lubomir M. Hadjiiski; Kenny H. Cha; Heang-Ping Chan; Ravi Samala; Richard H. Cohan; Elaine M. Caoili (Computer-Aided Diagnosis, 2017)

Radiomics biomarkers for accurate tumor progression prediction of oropharyngeal cancer. - Lubomir M. Hadjiiski; Heang-Ping Chan; Kenny H. Cha; Ashok Srinivasan; Jun Wei 002; Chuan Zhou 002; Mark Prince; Silvana Papagerakis (Computer-Aided Diagnosis, 2017)

Computer-aided detection of bladder wall thickening in CT urography (CTU). - Kenny H. Cha; Lubomir M. Hadjiiski; Heang-Ping Chan; Elaine M. Caoili; Richard H. Cohan; Alon Z. Weizer; Marshall N. Gordon; Ravi K. Samala (Computer-Aided Diagnosis, 2018)

Bladder cancer treatment response assessment in CT urography using two-channel deep-learning network. - Kenny H. Cha; Lubomir M. Hadjiiski; Heang-Ping Chan; Ravi K. Samala; Richard H. Cohan; Elaine M. Caoili; Alon Z. Weizer; Ajjai Alva (Computer-Aided Diagnosis, 2018)

Bladder cancer staging in CT urography: effect of stage labels on statistical modeling of a decision support system. - Dhanuj Gandikota; Lubomir M. Hadjiiski; Kenny H. Cha; Heang-Ping Chan; Elaine M. Caoili; Richard H. Cohan; Alon Z. Weizer; Ajjai Alva; Chintana Paramagul; Jun Wei 002; Chuan Zhou 002 (Computer-Aided Diagnosis, 2018)

Bladder cancer treatment response assessment with radiomic, clinical and radiologist semantic features. - Marshall N. Gordon; Kenny H. Cha; Lubomir M. Hadjiiski; Heang-Ping Chan; Richard H. Cohan; Elaine M. Caoili; Chintana Paramagul; Ajjai Alva; Alon Z. Weizer (Computer-Aided Diagnosis, 2018)

Generalization error analysis: deep convolutional neural network in mammography. - Caleb D. Richter; Ravi K. Samala; Heang-Ping Chan; Lubomir M. Hadjiiski; Kenny H. Cha (Computer-Aided Diagnosis, 2018)

Cross-domain and multi-task transfer learning of deep convolutional neural network for breast cancer diagnosis in digital breast tomosynthesis. - Ravi K. Samala; Heang-Ping Chan; Lubomir M. Hadjiiski; Mark A. Helvie; Caleb Richter; Kenny H. Cha (Computer-Aided Diagnosis, 2018)

Compression of deep convolutional neural network for computer-aided diagnosis of masses in digital breast tomosynthesis. - Ravi K. Samala; Heang-Ping Chan; Lubomir M. Hadjiiski; Mark A. Helvie; Caleb Richter; Kenny H. Cha (Computer-Aided Diagnosis, 2018)

Reducing overfitting of a deep learning breast mass detection algorithm in mammography using synthetic images. - Kenny H. Cha; Nicholas Petrick; Aria Pezeshk; Christian G. Graff; Diksha Sharma; Andreu Badal; Aldo Badano; Berkman Sahiner (Computer-Aided Diagnosis, 2019)

Bladder cancer staging in CT urography: estimation and validation of decision thresholds for a radiomics-based decision support system. - Dhanuj Gandikota; Lubomir M. Hadjiiski; Heang-Ping Chan; Kenny H. Cha; Ravi Samala; Elaine M. Caoili; Richard H. Cohan; Alon Z. Weizer; Ajjai Alva; Chintana Paramagul; Jun Wei 002; Chuan Zhou 002 (Computer-Aided Diagnosis, 2019)

2D and 3D bladder segmentation using U-Net-based deep-learning. - Xiangyuan Ma; Lubomir M. Hadjiiski; Jun Wei 002; Heang-Ping Chan; Kenny H. Cha; Richard H. Cohan; Elaine M. Caoili; Ravi Samala; Chuan Zhou 002; Yao Lu 007 (Computer-Aided Diagnosis, 2019)

Deep learning based bladder cancer treatment response assessment. - Eric Wu; Lubomir M. Hadjiiski; Ravi K. Samala; Heang-Ping Chan; Kenny H. Cha; Caleb Richter; Richard H. Cohan; Elaine M. Caoili; Chintana Paramagul; Ajjai Alva; Alon Z. Weizer (Computer-Aided Diagnosis, 2019)

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 M. Hadjiiski; Mark A. Helvie; Caleb D. Richter; Kenny H. Cha (IEEE Trans. Medical Imaging, 2019)

Performance deterioration of deep neural networks for lesion classification in mammography due to distribution shift: an analysis based on artificially created distribution shift. - Alexej Gossmann; Kenny H. Cha; Xudong Sun 002 (Computer-Aided Diagnosis, 2020)

Mammographic Image Conversion Between Source and Target Acquisition Systems Using cGAN. - Zahra Ghanian; Andreu Badal; Kenny H. Cha; Mohammad Mehdi Farhangi; Nicholas Petrick; Berkman Sahiner (MLMI@MICCAI, 2020)

Supplementing training with data from a shifted distribution for machine learning classifiers: adding more cases may not always help. - Kenny H. Cha; Alexej Gossmann; Nicholas Petrick; Berkman Sahiner (Image Perception, Observer Performance, and Technology Assessment, 2020)

Assessment of bone fragility in projection images using radiomic features. - Qian Cao; Nicholas Petrick; Stephanie Coquia; Kenny H. Cha; Rongping Zeng; Keith Wear; Berkman Sahiner; Qin Li 018 (Computer-Aided Diagnosis, 2021)

Multi-institutional observer performance study for bladder cancer treatment response assessment in CT urography with and without computerized decision support. - Lubomir M. Hadjiiski; Monika Joshi; Ajjai Alva; Heang-Ping Chan; Richard H. Cohan; Elaine M. Caoili; Galina Kirova-Nedyalkova; Matthew S. Davenport; Prasad R. Shankar; Isaac R. Francis; Kenny H. Cha; Ravi K. Samala; et al. (Computer-Aided Diagnosis, 2021)

Deciphering deep ensembles for lung nodule analysis. - Ravi K. Samala; Berkman Sahiner; Gene Pennello; Kenny H. Cha; Mohammad Mehdi Farhangi; Nicholas Petrick (Computer-Aided Diagnosis, 2022)

Effect of computerized decision support on diagnostic accuracy and intra-observer variability in multi-institutional observer performance study for bladder cancer treatment response assessment in CT urography. - Di Sun; Lubomir M. Hadjiiski; Rohan Garje; Yousef Zakharia; Lauren Pomerantz; Monika Joshi; Ajjai Alva; Heang-Ping Chan; Richard H. Cohan; Elaine M. Caoili; Kenny H. Cha; Galina Kirova-Nedyalkova; et al. (Computer-Aided Diagnosis, 2022)

Profiling the BLAST bioinformatics application for load balancing on high-performance computing clusters. - Trinity Cheng; Pei-Ju Chin; Kenny H. Cha; Nicholas Petrick; Mike Mikailov (BMC Bioinform., 2022)

AFE-GAN: Synthesizing Electrocardiograms with Atrial Fibrillation Characteristics Using Generative Adversarial Networks. - Xianglong Wang; Berkman Sahiner; Christopher G. Scully; Kenny H. Cha (EMBC, 2023)

Software as a Medical Device (SaMD) at the FDA: Regulatory Science and Review. - Kenny H. Cha (JVA, 2023)

Bladder cancer segmentation using U-Net-based deep-learning. - Jonathan Clever; Lubomir M. Hadjiiski; Heang-Ping Chan; Richard H. Cohan; Elaine M. Caoili; Kenny H. Cha; Ravi Samala; Chuan Zhou 002 (Computer-Aided Diagnosis, 2023)

Bladder cancer treatment response assessment in CT urography by using deep-learning and radiomics. - Di Sun; Lubomir M. Hadjiiski; Heang-Ping Chan; Richard H. Cohan; Elaine M. Caoili; Ajjai Alva; Kenny H. Cha; Ravi K. Samala; Chuan Zhou 002 (Computer-Aided Diagnosis, 2023)

Survival prediction for patients with metastatic urothelial cancer after immunotherapy using machine learning. - Rain Tarango; Lubomir M. Hadjiiski; Ajjai Alva; Heang-Ping Chan; Richard H. Cohan; Elaine M. Caoili; Kenny H. Cha; Ravi K. Samala; Alon Z. Weizer; Chuan Zhou 002; Monika Joshi; Yousef Zakharia (Computer-Aided Diagnosis, 2023)

Weakly supervised deep learning for predicting the response to hormonal treatment of women with atypical endometrial hyperplasia: a feasibility study. - Seyed M. M. Kahaki; Ian S. Hagemann; Kenny H. Cha; Christopher J. Trindade; Nicholas Petrick; Nicolas Kostelecky; Weijie Chen 007 (Digital and Computational Pathology, 2023)

Bias Amplification to Facilitate the Systematic Evaluation of Bias Mitigation Methods. - Alexis Burgon; Yuhang Zhang; Nicholas Petrick; Berkman Sahiner; Kenny H. Cha; Ravi K. Samala (IEEE J. Biomed. Health Informatics, 2025)