Deblurring of tomosynthesis images using 3D anisotropic diffusion filtering. - Xuejun Sun; Walker H. Land; Ravi Samala (Image Processing, 2007)

Knowledge based optimum feature selection for lung nodule diagnosis on thin section thoracic CT. - Ravi K. Samala; Wilfrido Alejandro Moreno; Dansheng Song; Yuncheng You; Wei Qian 001 (Computer-Aided Diagnosis, 2009)

Similarity based false-positive reduction for breast cancer using radiographic and pathologic imaging features. - Akshay Pai; Ravi K. Samala; Jianying Zhang; Wei Qian 001 (Computer-Aided Diagnosis, 2010)

Combinational feature optimization for classification of lung tissue images. - Ravi K. Samala; Tatyana Zhukov; Jianying Zhang; Melvyn Tockman; Wei Qian 001 (Computer-Aided Diagnosis, 2010)

Detection of microcalcifications in breast tomosynthesis reconstructed with multiscale bilateral filtering regularization. - Ravi K. Samala; Heang-Ping Chan; Yao Lu 007; Lubomir M. Hadjiiski; Jun Wei 002; Berkman Sahiner; Mark A. Helvie (Computer-Aided Diagnosis, 2013)

Digital breast tomosynthesis: effects of projection-view distribution on computer-aided detection of microcalcification clusters. - Ravi K. Samala; Heang-Ping Chan; Yao Lu 007; Lubomir M. Hadjiiski; Jun Wei 002; Mark A. Helvie (Computer-Aided Diagnosis, 2014)

False positive reduction of microcalcification cluster detection in digital breast tomosynthesis. - Ning Xu; Sheng Yi; Paulo R. S. Mendonça; Tai-Peng Tian; Ravi Samala; Heang-Ping Chan (Image Processing, 2014)

Comparison of computer-aided detection of clustered microcalcifications in digital mammography and digital breast tomosynthesis. - Ravi K. Samala; Heang-Ping Chan; Yao Lu 007; Lubomir M. Hadjiiski; Jun Wei 002; Mark A. Helvie (Computer-Aided Diagnosis, 2015)

Digital breast tomosynthesis: application of 2D digital mammography CAD to detection of microcalcification clusters on planar projection image. - Ravi K. Samala; Heang-Ping Chan; Yao Lu 007; Lubomir M. Hadjiiski; Jun Wei 002; Mark A. Helvie (Computer-Aided Diagnosis, 2015)

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)

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)

Identifying key radiogenomic associations between DCE-MRI and micro-RNA expressions for breast cancer. - Ravi K. Samala; Heang-Ping Chan; Lubomir M. Hadjiiski; Mark A. Helvie; Renaid B. Kim (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)

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)

Deep convolutional neural network for mammographic density segmentation. - Jun Wei 002; Songfeng Li; Heang-Ping Chan; Mark A. Helvie; Marilyn A. Roubidoux; Yao Lu 007; Chuan Zhou 002; Lubomir M. Hadjiiski; Ravi K. Samala (Computer-Aided Diagnosis, 2018)

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)

Homogenization of breast MRI across imaging centers and feature analysis using unsupervised deep embedding. - Ravi K. Samala; Heang-Ping Chan; Lubomir M. Hadjiiski; Chintana Paramagul; Mark A. Helvie; Colleen H. Neal (Computer-Aided Diagnosis, 2019)

Analysis of deep convolutional features for detection of lung nodules in computed tomography. - Ravi K. Samala; Heang-Ping Chan; Caleb Richter; Lubomir M. Hadjiiski; Chuan Zhou 002; Jun Wei 002 (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)

Convolutional neural network-based decision support system for bladder cancer staging in CT urography: decision threshold estimation and validation. - Daniel Hoklai Chapman-Sung; Lubomir M. Hadjiiski; Dhanuj Gandikota; Heang-Ping Chan; Ravi Samala; Elaine M. Caoili; Richard H. Cohan; Alon Z. Weizer; Ajjai Alva; Chuan Zhou 002 (Computer-Aided Diagnosis, 2020)

Bladder wall segmentation using U-net based deep learning. - Michael I. Ivanitskiy; Lubomir M. Hadjiiski; Heang-Ping Chan; Ravi Samala; Richard H. Cohan; Elaine M. Caoili; Alon Z. Weizer; Ajjai Alva; Jun Wei 002; Chuan Zhou 002 (Computer-Aided Diagnosis, 2020)

Explainable AI for medical imaging: deep-learning CNN ensemble for classification of estrogen receptor status from breast MRI. - Zachary Papanastasopoulos; Ravi K. Samala; Heang-Ping Chan; Lubomir M. Hadjiiski; Chintana Paramagul; Mark A. Helvie; Colleen H. Neal (Computer-Aided Diagnosis, 2020)

Hazards of data leakage in machine learning: a study on classification of breast cancer using deep neural networks. - Ravi K. Samala; Heang-Ping Chan; Lubomir M. Hadjiiski; Sathvik Koneru (Computer-Aided Diagnosis, 2020)

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)

Severity assessment of COVID-19 using imaging descriptors: a deep-learning transfer learning approach from non-COVID-19 pneumonia. - Ravi K. Samala; Lubomir M. Hadjiiski; Heang-Ping Chan; Chuan Zhou 002; Jadranka Stojanovska; Prachi Pragya Agarwal; Christopher Fung (Computer-Aided Diagnosis, 2021)

Informing selection of performance metrics for medical image segmentation evaluation using configurable synthetic errors. - Shuyue Guan; Ravi K. Samala; Weijie Chen 007 (AIPR, 2022)

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)

Deep learning texture analysis for the assessment of trabecular bone stiffness in CT. - Ran Yan; Qian Cao; Sriharsha Marupudi; Ravi K. Samala; Nicholas Petrick (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2023)

Decision region analysis to deconstruct the subgroup influence on AI/ML predictions. - Alexis Burgon; Nicholas Petrick; Berkman Sahiner; Gene Pennello; Ravi K. Samala (Computer-Aided Diagnosis, 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)

MISS-tool: medical image segmentation synthesis tool to emulate segmentation errors. - Shuyue Guan; Ravi K. Samala; Arian Arab; Weijie Chen 007 (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)

Restorable Synthesis: Average Synthetic Segmentation Converges to a Polygon Approximation of an Object Contour in Medical Images. - Shuyue Guan; Ravi K. Samala; Seyed M. M. Kahaki; Weijie Chen 007 (SSIAI, 2024)

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)