Ravi K. Samala

发表

Knowledge based optimum feature selection for lung nodule diagnosis on thin section thoracic CT

Ravi K. Samala, Wilfrido A. Moreno, Dansheng Song, 2009, Medical Imaging.

Computer-aided assessment of breast density: comparison of supervised deep learning and feature-based statistical learning

Lubomir M. Hadjiiski, Mark A. Helvie, Ravi K. Samala, 2018, Physics in medicine and biology.

Homogenization of breast MRI across imaging centers and feature analysis using unsupervised deep embedding

Lubomir M. Hadjiiski, Heang-Ping Chan, Mark A. Helvie, 2019, Medical Imaging.

Psychophysical similarity based feature selection for nodule retrieval in CT

Ravi K. Samala, 2011 .

Study of image quality in digital breast tomosynthesis by subpixel reconstruction

Lubomir M. Hadjiiski, Ravi K. Samala, Jun Wei, 2013, Medical Imaging.

Reliability study of reconstruction methods in tomosynthesis imaging of various geometrical objects

Ravi K. Samala, Wei Qian, Karthik Kanaka, 2010, Medical Imaging.

Bladder cancer treatment response assessment using deep learning in CT with transfer learning

Lubomir M. Hadjiiski, Elaine M. Caoili, Richard H. Cohan, 2017, Medical Imaging.

Efficient suspicious region segmentation algorithm for computer aided diagnosis of breast cancer based on tomosynthesis imaging

Ravi K. Samala, 2006 .

Bladder wall segmentation using U-net based deep learning

Lubomir M. Hadjiiski, Elaine M. Caoili, Richard H. Cohan, 2020, Medical Imaging.

Digital Breast Tomosynthesis (DBT): Computerized Detection of Clustered Microcalcifications in Planar Projection from Multiscale Bilateral Regularized Simultaneous Algebraic Reconstruction

Lubomir M. Hadjiiski, Mark A. Helvie, Ravi K. Samala, 2013 .

Computer-aided Detection of Clustered Microcalcifications in Digital Breast Tomosynthesis: False Positive Reduction Using Bilateral Filtering

Lubomir M. Hadjiiski, Mark A. Helvie, Ravi K. Samala, 2012 .

Comparison of computer-aided detection of clustered microcalcifications in digital mammography and digital breast tomosynthesis

Lubomir M. Hadjiiski, Heang-Ping Chan, Yao Lu, 2015, Medical Imaging.

Improving Image Quality for Digital Breast Tomosynthesis: Automatic Detection and Inpainting Method for Metal Artifact Reduction

Lubomir M. Hadjiiski, Ravi K. Samala, Jun Wei, 2013 .

Convolutional neural network-based decision support system for bladder cancer staging in CT urography: decision threshold estimation and validation

Lubomir M. Hadjiiski, Elaine M. Caoili, Richard H. Cohan, 2020, Medical Imaging.

First and second-order features for detection of masses in digital breast tomosynthesis

Lubomir M. Hadjiiski, Heang-Ping Chan, Mark A. Helvie, 2016, SPIE Medical Imaging.

Deep-learning convolution neural network for computer-aided detection of microcalcifications in digital breast tomosynthesis

Lubomir M. Hadjiiski, Heang-Ping Chan, Mark A. Helvie, 2016, SPIE Medical Imaging.

Deep convolutional neural network denoising for digital breast tomosynthesis reconstruction

Ravi K. Samala, Heang-Ping Chan, Mingjie Gao, 2020 .

Cross-domain and multi-task transfer learning of deep convolutional neural network for breast cancer diagnosis in digital breast tomosynthesis

Lubomir M. Hadjiiski, Heang-Ping Chan, Mark A. Helvie, 2018, Medical Imaging.

Digital breast tomosynthesis: application of 2D digital mammography CAD to detection of microcalcification clusters on planar projection image

Lubomir M. Hadjiiski, Heang-Ping Chan, Yao Lu, 2015, Medical Imaging.

Identifying key radiogenomic associations between DCE-MRI and micro-RNA expressions for breast cancer

Lubomir M. Hadjiiski, Heang-Ping Chan, Mark A. Helvie, 2017, Medical Imaging.

Analysis of deep convolutional features for detection of lung nodules in computed tomography

Lubomir M. Hadjiiski, Chuan Zhou, Heang-Ping Chan, 2019, Medical Imaging.

Hazards of data leakage in machine learning: a study on classification of breast cancer using deep neural networks

Lubomir M. Hadjiiski, Ravi K. Samala, Heang-Ping Chan, 2020, Medical Imaging.

Combinational feature optimization for classification of lung tissue images

Ravi K. Samala, Wei Qian, Jianying Zhang, 2010, Medical Imaging.

Breast Cancer Diagnosis in Digital Breast Tomosynthesis: Effects of Training Sample Size on Multi-Stage Transfer Learning Using Deep Neural Nets

Lubomir M. Hadjiiski, Heang-Ping Chan, Mark A. Helvie, 2019, IEEE Transactions on Medical Imaging.

Bladder cancer treatment response assessment in CT urography using two-channel deep-learning network

Lubomir M. Hadjiiski, Elaine M. Caoili, Richard H. Cohan, 2018, Medical Imaging.

Multiscale Bilateral Regularization in Digital Breast Tomosynthesis (DBT)

Lubomir M. Hadjiiski, Ravi K. Samala, Jun Wei, 2012 .

Generalization error analysis: deep convolutional neural network in mammography

Lubomir M. Hadjiiski, Heang-Ping Chan, Ravi K. Samala, 2018, Medical Imaging.

Explainable AI for medical imaging: deep-learning CNN ensemble for classification of estrogen receptor status from breast MRI

Lubomir M. Hadjiiski, Mark A. Helvie, Ravi K. Samala, 2020, Medical Imaging.

Digital breast tomosynthesis: effects of projection-view distribution on computer-aided detection of microcalcification clusters

Lubomir M. Hadjiiski, Heang-Ping Chan, Yao Lu, 2014, Medical Imaging.

Akshay Pai, Ravi K. Samala, Wei Qian, 2010, Medical Imaging.

Deep learning based bladder cancer treatment response assessment

Lubomir M. Hadjiiski, Elaine M. Caoili, Richard H. Cohan, 2019, Medical Imaging.

Digital breast tomosynthesis: joint reconstruction and planar projection framework for computer aided detection of clustered microcalcifications

Mark A. Helvie, Ravi K. Samala, Jun Wei, 2014 .

Computer-aided detection of bladder masses in CT urography (CTU)

Lubomir M. Hadjiiski, Elaine M. Caoili, Richard H. Cohan, 2017, Medical Imaging.

Detection of microcalcifications in breast tomosynthesis reconstructed with multiscale bilateral filtering regularization

Berkman Sahiner, Lubomir M. Hadjiiski, Heang-Ping Chan, 2013, Medical Imaging.

Comparison of bladder segmentation using deep-learning convolutional neural network with and without level sets

Lubomir M. Hadjiiski, Elaine M. Caoili, Richard H. Cohan, 2016, SPIE Medical Imaging.

Compression of deep convolutional neural network for computer-aided diagnosis of masses in digital breast tomosynthesis

Lubomir M. Hadjiiski, Heang-Ping Chan, Mark A. Helvie, 2018, Medical Imaging.

Deep convolutional neural network for mammographic density segmentation

Lubomir M. Hadjiiski, Chuan Zhou, Heang-Ping Chan, 2018, Medical Imaging.

Computer-aided detection of bladder wall thickening in CT urography (CTU)

Lubomir M. Hadjiiski, Elaine M. Caoili, Richard H. Cohan, 2018, Medical Imaging.

Reference state estimation of breast computed tomography for registration with digital mammography

Lubomir M. Hadjiiski, Heang-Ping Chan, Mark A. Helvie, 2016, SPIE Medical Imaging.

Image Processing Analytics: Enhancements and Segmentation

Lubomir M. Hadjiiski, Ravi K. Samala, Heang Ping Chan, 2021, Molecular Imaging.

Multi-institutional observer performance study for bladder cancer treatment response assessment in CT urography with and without computerized decision support

Elaine M. Caoili, Richard H. Cohan, Heang-Ping Chan, 2021, Medical Imaging.

Severity assessment of COVID-19 using imaging descriptors: a deep-learning transfer learning approach from non-COVID-19 pneumonia

Heang-Ping Chan, Ravi K. Samala, Lubomir Hadjiiski, 2021, Medical Imaging.

Urinary bladder segmentation in CT urography using deep-learning convolutional neural network and level sets.

Lubomir M. Hadjiiski, Ravi K. Samala, Kenny H. Cha, 2016, Medical physics.

Bladder Cancer Segmentation in CT for Treatment Response Assessment: Application of Deep-Learning Convolution Neural Network—A Pilot Study

Lubomir M. Hadjiiski, Ravi K. Samala, Kenny H. Cha, 2016, Tomography.

Deep Learning Approach for Assessment of Bladder Cancer Treatment Response

Lubomir M. Hadjiiski, Ravi K. Samala, Kenny H. Cha, 2019, Tomography.

Bladder Cancer Treatment Response Assessment in CT using Radiomics with Deep-Learning

Lubomir M. Hadjiiski, Ravi K. Samala, Kenny H. Cha, 2017, Scientific Reports.

Comparative Study of Feature Measures for Histopathological Images of the Lung

Ravi K. Samala, Wei Qian, Venkata S. Potunuru, 2010 .

Multiscale bilateral filtering for improving image quality in digital breast tomosynthesis.

Lubomir M. Hadjiiski, Heang-Ping Chan, Ravi K. Samala, 2014, Medical physics.

Deep‐learning convolutional neural network: Inner and outer bladder wall segmentation in CT urography

Lubomir M. Hadjiiski, Elaine M. Caoili, Richard H. Cohan, 2019, Medical physics.

Intraobserver Variability in Bladder Cancer Treatment Response Assessment With and Without Computerized Decision Support

Ravi K. Samala, Kenny H. Cha, Prasad R. Shankar, 2020, Tomography.

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

Ravi K. Samala, Kenny H. Cha, Prasad R. Shankar, 2022, Medical Imaging.

Effect of Dose Level on Radiologists' Detection of Microcalcifications in Digital Breast Tomosynthesis: An Observer Study with Breast Phantoms.

Ravi K. Samala, Colleen H. Neal, H. Chan, 2020, Academic radiology.

Informing selection of performance metrics for medical image segmentation evaluation using configurable synthetic errors

Ravi K. Samala, Weijie Chen, Shuyue Guan, 2022, 2212.14828.

Deciphering deep ensembles for lung nodule analysis

Ravi K. Samala, Kenny H. Cha, N. Petrick, 2022, Medical Imaging.

Computerized Decision Support for Bladder Cancer Treatment Response Assessment in CT Urography: Effect on Diagnostic Accuracy in Multi-Institution Multi-Specialty Study

Ravi K. Samala, Kenny H. Cha, Wesley T. Kerr, 2022, Tomography.

U‐Net based deep learning bladder segmentation in CT urography

Lubomir M. Hadjiiski, Heang-Ping Chan, Ravi K. Samala, 2019, Medical physics.

Computer-aided diagnosis in the era of deep learning.

Lubomir M. Hadjiiski, Ravi K. Samala, Heang-Ping Chan, 2020, Medical physics.

Data drift in medical machine learning: implications and potential remedies.

Ravi K. Samala, N. Petrick, B. Sahiner, 2023, The British journal of radiology.

Evolutionary pruning of transfer learned deep convolutional neural network for breast cancer diagnosis in digital breast tomosynthesis

Lubomir M. Hadjiiski, Heang-Ping Chan, Ravi K. Samala, 2018, Physics in medicine and biology.

Mass detection in digital breast tomosynthesis: Deep convolutional neural network with transfer learning from mammography.

Lubomir M. Hadjiiski, Heang-Ping Chan, Ravi K. Samala, 2016, Medical physics.

CAD and AI for breast cancer - Recent Development and Challenges.

Lubomir M. Hadjiiski, Ravi K. Samala, Heang-Ping Chan, 2019, The British journal of radiology.

Computer-aided detection of clustered microcalcifications in multiscale bilateral filtering regularized reconstructed digital breast tomosynthesis volume.

Berkman Sahiner, Heang-Ping Chan, Ravi K. Samala, 2014, Medical physics.

Multi-task transfer learning deep convolutional neural network: application to computer-aided diagnosis of breast cancer on mammograms

Lubomir M. Hadjiiski, Ravi K. Samala, Heang-Ping Chan, 2017, Physics in medicine and biology.

Digital breast tomosynthesis: computer-aided detection of clustered microcalcifications on planar projection images

Lubomir M. Hadjiiski, Heang-Ping Chan, Ravi K. Samala, 2014, Physics in medicine and biology.

A novel approach to nodule feature optimization on thin section thoracic CT.

Ravi K. Samala, Yuncheng You, Wei Qian, 2009, Academic radiology.

Bladder cancer staging in CT urography: estimation and validation of decision thresholds for a radiomics-based decision support system

Lubomir M. Hadjiiski, Elaine M. Caoili, Richard H. Cohan, 2019, Medical Imaging.

Deep Learning in Medical Image Analysis.

Chuan Zhou, Ravi K. Samala, Heang-Ping Chan, 2017, Advances in experimental medicine and biology.

Multichannel response analysis on 2D projection views for detection of clustered microcalcifications in digital breast tomosynthesis.

Chuan Zhou, Heang-Ping Chan, Ravi K. Samala, 2014, Medical physics.

Survival prediction for patients with metastatic urothelial cancer after immunotherapy using machine learning

Ravi K. Samala, Kenny H. Cha, H. Chan, 2023, Medical Imaging.

Bladder Cancer Treatment Response Assessment in CT using Radiomics with Deep-Learning

Lubomir M. Hadjiiski, Ravi K. Samala, Kenny H. Cha, 2017, Scientific Reports.

Improving image quality for digital breast tomosynthesis: an automated detection and diffusion-based method for metal artifact reduction

Lubomir M. Hadjiiski, Heang-Ping Chan, Ravi K. Samala, 2017, Physics in medicine and biology.

Analysis of computer-aided detection techniques and signal characteristics for clustered microcalcifications on digital mammography and digital breast tomosynthesis

Heang-Ping Chan, Ravi K. Samala, Lubomir M Hadjiiski, 2016, Physics in medicine and biology.

Computer-aided detection system for clustered microcalcifications in digital breast tomosynthesis using joint information from volumetric and planar projection images

Heang-Ping Chan, Ravi K. Samala, Jun Wei, 2015, Physics in medicine and biology.

False positive reduction of microcalcification cluster detection in digital breast tomosynthesis

Ning Xu, Paulo R. S. Mendonça, Heang-Ping Chan, 2014, Medical Imaging.

Decision region analysis to deconstruct the subgroup influence on AI/ML predictions

Ravi K. Samala, N. Petrick, B. Sahiner, 2023, Medical Imaging.

Proceedings of the NHLBI Workshop on Artificial Intelligence in Cardiovascular Imaging: Translation to Patient Care.

Ravi K. Samala, D. Dey, S. Antani, 2023, JACC. Cardiovascular imaging.

Deep Learning in Medical Image Analysis.

Lubomir M. Hadjiiski, Ravi K. Samala, H. Chan, 2020, Advances in experimental medicine and biology.

Multi-omics investigation on the prognostic and predictive factors in metastatic breast cancer using data from Phase III ribociclib clinical trials: A statistical and machine learning analysis plan

Ravi K. Samala, Luis V. Santana-Quintero, Kenny H. Cha, 2023, medRxiv.

Regulatory considerations for medical imaging AI/ML devices in the United States: concepts and challenges

Ravi K. Samala, N. Petrick, B. Sahiner, 2023, Journal of medical imaging.

AAPM task group report 273: Recommendations on best practices for AI and machine learning for computer-aided diagnosis in medical imaging.

Lubomir M. Hadjiiski, Ravi K. Samala, Kenny H. Cha, 2022, Medical Physics (Lancaster).

Risks of Feature Leakage and Sample Size Dependencies in Deep Feature Extraction for Breast Mass Classification.

Lubomir M. Hadjiiski, Ravi K. Samala, H. Chan, 2020, Medical Physics (Lancaster).

Generalization error analysis for deep convolutional neural network with transfer learning in breast cancer diagnosis

Lubomir M. Hadjiiski, Ravi K. Samala, Heang-Ping Chan, 2020, Physics in medicine and biology.

Computer-aided assessment of breast density: comparison of supervised deep learning and feature-based statistical learning

Lubomir M. Hadjiiski, Ravi K. Samala, H. Chan, 2018, Physics in medicine and biology.

Deblurring of tomosynthesis images using 3D anisotropic diffusion filtering

Ravi K. Samala, Walker H. Land, Xuejun Sun, 2007, SPIE Medical Imaging.