Ravi K. Samala

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 33

Top Topics

Convolutional Neural Network

Transfer Learning

Medical Image Segmentation

Digital Mammography

Top Venues

Medical Imaging: Computer-Aided Diagnosis

Publications

Shuyue Guan, Ravi K. Samala, Seyed M. M. Kahaki, Weijie Chen
Restorable Synthesis: Average Synthetic Segmentation Converges to a Polygon Approximation of an Object Contour in Medical Images. SSIAI (2024)
Di Sun, Lubomir M. Hadjiiski, Heang-Ping Chan, Richard H. Cohan, Elaine M. Caoili, Ajjai Alva, Kenny H. Cha, Ravi K. Samala, Chuan Zhou
Bladder cancer treatment response assessment in CT urography by using deep-learning and radiomics. Medical Imaging: Computer-Aided Diagnosis (2023)
Ran Yan, Qian Cao, Sriharsha Marupudi, Ravi K. Samala, Nicholas Petrick
Deep learning texture analysis for the assessment of trabecular bone stiffness in CT. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2023)
Shuyue Guan, Ravi K. Samala, Arian Arab, Weijie Chen
MISS-tool: medical image segmentation synthesis tool to emulate segmentation errors. Medical Imaging: Computer-Aided Diagnosis (2023)
Alexis Burgon, Nicholas Petrick, Berkman Sahiner, Gene Pennello, Ravi K. Samala
Decision region analysis to deconstruct the subgroup influence on AI/ML predictions. Medical Imaging: Computer-Aided Diagnosis (2023)
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
Survival prediction for patients with metastatic urothelial cancer after immunotherapy using machine learning. Medical Imaging: Computer-Aided Diagnosis (2023)
Shuyue Guan, Ravi K. Samala, Weijie Chen
Informing selection of performance metrics for medical image segmentation evaluation using configurable synthetic errors. AIPR (2022)
Shuyue Guan, Ravi K. Samala, Weijie Chen
Informing selection of performance metrics for medical image segmentation evaluation using configurable synthetic errors. CoRR (2022)
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
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. Medical Imaging: Computer-Aided Diagnosis (2022)
Ravi K. Samala, Berkman Sahiner, Gene Pennello, Kenny H. Cha, Mohammad Mehdi Farhangi, Nicholas Petrick
Deciphering deep ensembles for lung nodule analysis. Medical Imaging: Computer-Aided Diagnosis (2022)
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
Multi-institutional observer performance study for bladder cancer treatment response assessment in CT urography with and without computerized decision support. Medical Imaging: Computer-Aided Diagnosis (2021)
Ravi K. Samala, Lubomir M. Hadjiiski, Heang-Ping Chan, Chuan Zhou, Jadranka Stojanovska, Prachi Pragya Agarwal, Christopher Fung
Severity assessment of COVID-19 using imaging descriptors: a deep-learning transfer learning approach from non-COVID-19 pneumonia. Medical Imaging: Computer-Aided Diagnosis (2021)
Zachary Papanastasopoulos, Ravi K. Samala, Heang-Ping Chan, Lubomir M. Hadjiiski, Chintana Paramagul, Mark A. Helvie, Colleen H. Neal
Explainable AI for medical imaging: deep-learning CNN ensemble for classification of estrogen receptor status from breast MRI. Medical Imaging: Computer-Aided Diagnosis (2020)
Ravi K. Samala, Heang-Ping Chan, Lubomir M. Hadjiiski, Sathvik Koneru
Hazards of data leakage in machine learning: a study on classification of breast cancer using deep neural networks. Medical Imaging: Computer-Aided Diagnosis (2020)
Ravi K. Samala, Heang-Ping Chan, Caleb Richter, Lubomir M. Hadjiiski, Chuan Zhou, Jun Wei
Analysis of deep convolutional features for detection of lung nodules in computed tomography. Medical Imaging: Computer-Aided Diagnosis (2019)
Ravi K. Samala, Heang-Ping Chan, Lubomir M. Hadjiiski, Mark A. Helvie, Caleb D. Richter, Kenny H. Cha
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 38 (3) (2019)
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
Deep learning based bladder cancer treatment response assessment. Medical Imaging: Computer-Aided Diagnosis (2019)
Ravi K. Samala, Heang-Ping Chan, Lubomir M. Hadjiiski, Chintana Paramagul, Mark A. Helvie, Colleen H. Neal
Homogenization of breast MRI across imaging centers and feature analysis using unsupervised deep embedding. Medical Imaging: Computer-Aided Diagnosis (2019)
Ravi K. Samala, Heang-Ping Chan, Lubomir M. Hadjiiski, Mark A. Helvie, Caleb Richter, Kenny H. Cha
Cross-domain and multi-task transfer learning of deep convolutional neural network for breast cancer diagnosis in digital breast tomosynthesis. Medical Imaging: Computer-Aided Diagnosis (2018)
Caleb D. Richter, Ravi K. Samala, Heang-Ping Chan, Lubomir M. Hadjiiski, Kenny H. Cha
Generalization error analysis: deep convolutional neural network in mammography. Medical Imaging: Computer-Aided Diagnosis (2018)
Ravi K. Samala, Heang-Ping Chan, Lubomir M. Hadjiiski, Mark A. Helvie, Caleb Richter, Kenny H. Cha
Compression of deep convolutional neural network for computer-aided diagnosis of masses in digital breast tomosynthesis. Medical Imaging: Computer-Aided Diagnosis (2018)
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 detection of bladder wall thickening in CT urography (CTU). Medical Imaging: Computer-Aided Diagnosis (2018)
Kenny H. Cha, Lubomir M. Hadjiiski, Heang-Ping Chan, Ravi K. Samala, Richard H. Cohan, Elaine M. Caoili, Alon Z. Weizer, Ajjai Alva
Bladder cancer treatment response assessment in CT urography using two-channel deep-learning network. Medical Imaging: Computer-Aided Diagnosis (2018)
Jun Wei, Songfeng Li, Heang-Ping Chan, Mark A. Helvie, Marilyn A. Roubidoux, Yao Lu, Chuan Zhou, Lubomir M. Hadjiiski, Ravi K. Samala
Deep convolutional neural network for mammographic density segmentation. Medical Imaging: Computer-Aided Diagnosis (2018)
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
Bladder cancer treatment response assessment using deep learning in CT with transfer learning. Medical Imaging: Computer-Aided Diagnosis (2017)
Ravi K. Samala, Heang-Ping Chan, Lubomir M. Hadjiiski, Mark A. Helvie, Renaid B. Kim
Identifying key radiogenomic associations between DCE-MRI and micro-RNA expressions for breast cancer. Medical Imaging: Computer-Aided Diagnosis (2017)
Kenny H. Cha, Lubomir M. Hadjiiski, Heang-Ping Chan, Elaine M. Caoili, Richard H. Cohan, Alon Z. Weizer, Ravi K. Samala
Computer-aided detection of bladder masses in CT urography (CTU). Medical Imaging: Computer-Aided Diagnosis (2017)
Ravi K. Samala, Heang-Ping Chan, Lubomir M. Hadjiiski, Kenny H. Cha, Mark A. Helvie
Deep-learning convolution neural network for computer-aided detection of microcalcifications in digital breast tomosynthesis. Medical Imaging: Computer-Aided Diagnosis (2016)
Ravi K. Samala, Jun Wei, Heang-Ping Chan, Lubomir M. Hadjiiski, Kenny H. Cha, Mark A. Helvie
First and second-order features for detection of masses in digital breast tomosynthesis. Medical Imaging: Computer-Aided Diagnosis (2016)
Kenny H. Cha, Lubomir M. Hadjiiski, Ravi K. Samala, Heang-Ping Chan, Richard H. Cohan, Elaine M. Caoili
Comparison of bladder segmentation using deep-learning convolutional neural network with and without level sets. Medical Imaging: Computer-Aided Diagnosis (2016)
Ravi K. Samala, Heang-Ping Chan, Lubomir M. Hadjiiski, Ruola Ning, Kenny H. Cha, Mark A. Helvie
Reference state estimation of breast computed tomography for registration with digital mammography. Medical Imaging: Computer-Aided Diagnosis (2016)
Ravi K. Samala, Heang-Ping Chan, Yao Lu, Lubomir M. Hadjiiski, Jun Wei, Mark A. Helvie
Digital breast tomosynthesis: application of 2D digital mammography CAD to detection of microcalcification clusters on planar projection image. Medical Imaging: Computer-Aided Diagnosis (2015)
Ravi K. Samala, Heang-Ping Chan, Yao Lu, Lubomir M. Hadjiiski, Jun Wei, Mark A. Helvie
Comparison of computer-aided detection of clustered microcalcifications in digital mammography and digital breast tomosynthesis. Medical Imaging: Computer-Aided Diagnosis (2015)
Ravi K. Samala, Heang-Ping Chan, Yao Lu, Lubomir M. Hadjiiski, Jun Wei, Mark A. Helvie
Digital breast tomosynthesis: effects of projection-view distribution on computer-aided detection of microcalcification clusters. Medical Imaging: Computer-Aided Diagnosis (2014)
Ravi K. Samala, Heang-Ping Chan, Yao Lu, Lubomir M. Hadjiiski, Jun Wei, Berkman Sahiner, Mark A. Helvie
Detection of microcalcifications in breast tomosynthesis reconstructed with multiscale bilateral filtering regularization. Medical Imaging: Computer-Aided Diagnosis (2013)
Ravi K. Samala, Tatyana Zhukov, Jianying Zhang, Melvyn Tockman, Wei Qian
Combinational feature optimization for classification of lung tissue images. Medical Imaging: Computer-Aided Diagnosis (2010)
Akshay Pai, Ravi K. Samala, Jianying Zhang, Wei Qian
Similarity based false-positive reduction for breast cancer using radiographic and pathologic imaging features. Medical Imaging: Computer-Aided Diagnosis (2010)
Ravi K. Samala, Wilfrido Alejandro Moreno, Dansheng Song, Yuncheng You, Wei Qian
Knowledge based optimum feature selection for lung nodule diagnosis on thin section thoracic CT. Medical Imaging: Computer-Aided Diagnosis (2009)