Ravi K. Samala

39 papers Journal 3Unranked 36

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Bias Amplification to Facilitate the Systematic Evaluation of Bias Mitigation Methods. IEEE J. Biomed. Health Informatics Alexis Burgon, Yuhang Zhang, Nicholas Petrick, Berkman Sahiner, Kenny H. Cha, Ravi K. Samala
2024	—	`conf`	Restorable Synthesis: Average Synthetic Segmentation Converges to a Polygon Approximation of an Object Contour in Medical Images. SSIAI Shuyue Guan, Ravi K. Samala, Seyed M. M. Kahaki, Weijie Chen
2023	—	`conf`	Bladder cancer treatment response assessment in CT urography by using deep-learning and radiomics. Computer-Aided Diagnosis Di Sun, Lubomir M. Hadjiiski, Heang-Ping Chan, Richard H. Cohan, Elaine M. Caoili, Ajjai Alva, Kenny H. Cha, Ravi K. Samala, Chuan Zhou
2023	—	`conf`	Decision region analysis to deconstruct the subgroup influence on AI/ML predictions. Computer-Aided Diagnosis Alexis Burgon, Nicholas Petrick, Berkman Sahiner, Gene Pennello, Ravi K. Samala
2023	—	`conf`	Deep learning texture analysis for the assessment of trabecular bone stiffness in CT. Biomedical Applications in Molecular, Structural, and Functional Imaging Ran Yan, Qian Cao, Sriharsha Marupudi, Ravi K. Samala, Nicholas Petrick
2023	—	`conf`	MISS-tool: medical image segmentation synthesis tool to emulate segmentation errors. Computer-Aided Diagnosis Shuyue Guan, Ravi K. Samala, Arian Arab, Weijie Chen
2023	—	`conf`	Survival prediction for patients with metastatic urothelial cancer after immunotherapy using machine learning. Computer-Aided Diagnosis 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, Monika Joshi, Yousef Zakharia
2022	—	`conf`	Deciphering deep ensembles for lung nodule analysis. Computer-Aided Diagnosis Ravi K. Samala, Berkman Sahiner, Gene Pennello, Kenny H. Cha, Mohammad Mehdi Farhangi, Nicholas Petrick
2022	—	`conf`	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. Computer-Aided Diagnosis 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, Matthew S. Davenport, Prasad R. Shankar, Isaac R. Francis, Kimberly Shampain, Nathaniel Meyer, Daniel Barkmeier, Sean Woolen, Phillip L. Palmbos, Alon Z. Weizer, Ravi K. Samala, Chuan Zhou, Martha M. Matuszak
2022	—	`conf`	Informing selection of performance metrics for medical image segmentation evaluation using configurable synthetic errors. AIPR Shuyue Guan, Ravi K. Samala, Weijie Chen
2022	J	`jnl`	Informing selection of performance metrics for medical image segmentation evaluation using configurable synthetic errors. CoRR Shuyue Guan, Ravi K. Samala, Weijie Chen
2021	—	`conf`	Multi-institutional observer performance study for bladder cancer treatment response assessment in CT urography with and without computerized decision support. Computer-Aided Diagnosis 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, Phillip L. Palmbos, Alon Z. Weizer
2021	—	`conf`	Severity assessment of COVID-19 using imaging descriptors: a deep-learning transfer learning approach from non-COVID-19 pneumonia. Computer-Aided Diagnosis Ravi K. Samala, Lubomir M. Hadjiiski, Heang-Ping Chan, Chuan Zhou, Jadranka Stojanovska, Prachi Pragya Agarwal, Christopher Fung
2020	—	`conf`	Explainable AI for medical imaging: deep-learning CNN ensemble for classification of estrogen receptor status from breast MRI. Computer-Aided Diagnosis Zachary Papanastasopoulos, Ravi K. Samala, Heang-Ping Chan, Lubomir M. Hadjiiski, Chintana Paramagul, Mark A. Helvie, Colleen H. Neal
2020	—	`conf`	Hazards of data leakage in machine learning: a study on classification of breast cancer using deep neural networks. Computer-Aided Diagnosis Ravi K. Samala, Heang-Ping Chan, Lubomir M. Hadjiiski, Sathvik Koneru
2019	—	`conf`	Analysis of deep convolutional features for detection of lung nodules in computed tomography. Computer-Aided Diagnosis Ravi K. Samala, Heang-Ping Chan, Caleb Richter, Lubomir M. Hadjiiski, Chuan Zhou, Jun Wei
2019	J	`jnl`	Breast Cancer Diagnosis in Digital Breast Tomosynthesis: Effects of Training Sample Size on Multi-Stage Transfer Learning Using Deep Neural Nets. IEEE Trans. Medical Imaging Ravi K. Samala, Heang-Ping Chan, Lubomir M. Hadjiiski, Mark A. Helvie, Caleb D. Richter, Kenny H. Cha
2019	—	`conf`	Deep learning based bladder cancer treatment response assessment. Computer-Aided Diagnosis 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
2019	—	`conf`	Homogenization of breast MRI across imaging centers and feature analysis using unsupervised deep embedding. Computer-Aided Diagnosis Ravi K. Samala, Heang-Ping Chan, Lubomir M. Hadjiiski, Chintana Paramagul, Mark A. Helvie, Colleen H. Neal
2018	—	`conf`	Bladder cancer treatment response assessment in CT urography using two-channel deep-learning network. Computer-Aided Diagnosis Kenny H. Cha, Lubomir M. Hadjiiski, Heang-Ping Chan, Ravi K. Samala, Richard H. Cohan, Elaine M. Caoili, Alon Z. Weizer, Ajjai Alva
2018	—	`conf`	Compression of deep convolutional neural network for computer-aided diagnosis of masses in digital breast tomosynthesis. Computer-Aided Diagnosis Ravi K. Samala, Heang-Ping Chan, Lubomir M. Hadjiiski, Mark A. Helvie, Caleb Richter, Kenny H. Cha
2018	—	`conf`	Computer-aided detection of bladder wall thickening in CT urography (CTU). Computer-Aided Diagnosis Kenny H. Cha, Lubomir M. Hadjiiski, Heang-Ping Chan, Elaine M. Caoili, Richard H. Cohan, Alon Z. Weizer, Marshall N. Gordon, Ravi K. Samala
2018	—	`conf`	Cross-domain and multi-task transfer learning of deep convolutional neural network for breast cancer diagnosis in digital breast tomosynthesis. Computer-Aided Diagnosis Ravi K. Samala, Heang-Ping Chan, Lubomir M. Hadjiiski, Mark A. Helvie, Caleb Richter, Kenny H. Cha
2018	—	`conf`	Deep convolutional neural network for mammographic density segmentation. Computer-Aided Diagnosis Jun Wei, Songfeng Li, Heang-Ping Chan, Mark A. Helvie, Marilyn A. Roubidoux, Yao Lu, Chuan Zhou, Lubomir M. Hadjiiski, Ravi K. Samala
2018	—	`conf`	Generalization error analysis: deep convolutional neural network in mammography. Computer-Aided Diagnosis Caleb D. Richter, Ravi K. Samala, Heang-Ping Chan, Lubomir M. Hadjiiski, Kenny H. Cha
2017	—	`conf`	Bladder cancer treatment response assessment using deep learning in CT with transfer learning. Computer-Aided Diagnosis 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
2017	—	`conf`	Computer-aided detection of bladder masses in CT urography (CTU). Computer-Aided Diagnosis Kenny H. Cha, Lubomir M. Hadjiiski, Heang-Ping Chan, Elaine M. Caoili, Richard H. Cohan, Alon Z. Weizer, Ravi K. Samala
2017	—	`conf`	Identifying key radiogenomic associations between DCE-MRI and micro-RNA expressions for breast cancer. Computer-Aided Diagnosis Ravi K. Samala, Heang-Ping Chan, Lubomir M. Hadjiiski, Mark A. Helvie, Renaid B. Kim
2016	—	`conf`	Comparison of bladder segmentation using deep-learning convolutional neural network with and without level sets. Computer-Aided Diagnosis Kenny H. Cha, Lubomir M. Hadjiiski, Ravi K. Samala, Heang-Ping Chan, Richard H. Cohan, Elaine M. Caoili
2016	—	`conf`	Deep-learning convolution neural network for computer-aided detection of microcalcifications in digital breast tomosynthesis. Computer-Aided Diagnosis Ravi K. Samala, Heang-Ping Chan, Lubomir M. Hadjiiski, Kenny H. Cha, Mark A. Helvie
2016	—	`conf`	First and second-order features for detection of masses in digital breast tomosynthesis. Computer-Aided Diagnosis Ravi K. Samala, Jun Wei, Heang-Ping Chan, Lubomir M. Hadjiiski, Kenny H. Cha, Mark A. Helvie
2016	—	`conf`	Reference state estimation of breast computed tomography for registration with digital mammography. Computer-Aided Diagnosis Ravi K. Samala, Heang-Ping Chan, Lubomir M. Hadjiiski, Ruola Ning, Kenny H. Cha, Mark A. Helvie
2015	—	`conf`	Comparison of computer-aided detection of clustered microcalcifications in digital mammography and digital breast tomosynthesis. Computer-Aided Diagnosis Ravi K. Samala, Heang-Ping Chan, Yao Lu, Lubomir M. Hadjiiski, Jun Wei, Mark A. Helvie
2015	—	`conf`	Digital breast tomosynthesis: application of 2D digital mammography CAD to detection of microcalcification clusters on planar projection image. Computer-Aided Diagnosis Ravi K. Samala, Heang-Ping Chan, Yao Lu, Lubomir M. Hadjiiski, Jun Wei, Mark A. Helvie
2014	—	`conf`	Digital breast tomosynthesis: effects of projection-view distribution on computer-aided detection of microcalcification clusters. Computer-Aided Diagnosis Ravi K. Samala, Heang-Ping Chan, Yao Lu, Lubomir M. Hadjiiski, Jun Wei, Mark A. Helvie
2013	—	`conf`	Detection of microcalcifications in breast tomosynthesis reconstructed with multiscale bilateral filtering regularization. Computer-Aided Diagnosis Ravi K. Samala, Heang-Ping Chan, Yao Lu, Lubomir M. Hadjiiski, Jun Wei, Berkman Sahiner, Mark A. Helvie
2010	—	`conf`	Combinational feature optimization for classification of lung tissue images. Computer-Aided Diagnosis Ravi K. Samala, Tatyana Zhukov, Jianying Zhang, Melvyn Tockman, Wei Qian
2010	—	`conf`	Similarity based false-positive reduction for breast cancer using radiographic and pathologic imaging features. Computer-Aided Diagnosis Akshay Pai, Ravi K. Samala, Jianying Zhang, Wei Qian
2009	—	`conf`	Knowledge based optimum feature selection for lung nodule diagnosis on thin section thoracic CT. Computer-Aided Diagnosis Ravi K. Samala, Wilfrido Alejandro Moreno, Dansheng Song, Yuncheng You, Wei Qian