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Ravi K Samala

Showing results (1-10 of 35) with videos related to

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Medical Physics|May 18, 2020
Computer-aided diagnosis in the era of deep learningHeang-Ping Chan, Lubomir M Hadjiiski, Ravi K Samala
The British Journal of Radiology|November 20, 2019
CAD and AI for breast cancer-recent development and challengesHeang-Ping Chan, Ravi K Samala, Lubomir M Hadjiiski
The British Journal of Radiology|March 27, 2023
Data drift in medical machine learning: implications and potential remediesBerkman Sahiner, Weijie Chen, Ravi K Samala, et al.
Journal of Imaging Informatics in Medicine|March 26, 2026
Data Representativeness with Hyperdimensional ComputingAlexis Burgon, Nicholas Petrick, Daniel Krainak, et al.
Advances in Experimental Medicine and Biology|February 8, 2020
Deep Learning in Medical Image AnalysisHeang-Ping Chan, Ravi K Samala, Lubomir M Hadjiiski, et al.
Medical Physics|December 28, 2020
Risks of feature leakage and sample size dependencies in deep feature extraction for breast mass classificationRavi K Samala, Heang-Ping Chan, Lubomir Hadjiiski, et al.
Physics in Medicine and Biology|September 21, 2016
Analysis of computer-aided detection techniques and signal characteristics for clustered microcalcifications on digital mammography and digital breast tomosynthesisRavi K Samala, Heang-Ping Chan, Lubomir M Hadjiiski, et al.
Medical Physics|January 8, 2015
Multiscale bilateral filtering for improving image quality in digital breast tomosynthesisYao Lu, Heang-Ping Chan, Jun Wei, et al.
Physics in Medicine and Biology|August 24, 2017
Improving image quality for digital breast tomosynthesis: an automated detection and diffusion-based method for metal artifact reductionYao Lu, Heang-Ping Chan, Jun Wei, et al.
Journal of Medical Imaging (Bellingham, Wash.)|January 29, 2024
Decision region analysis for generalizability of artificial intelligence models: estimating model generalizability in the case of cross-reactivity and population shiftAlexis Burgon, Berkman Sahiner, Nicholas Petrick, et al.
Pageof 4

Showing results (1-10 of 35) with videos related to

Sort By:
Pageof 4
Medical Physics|May 18, 2020
Computer-aided diagnosis in the era of deep learningHeang-Ping Chan, Lubomir M Hadjiiski, Ravi K Samala
The British Journal of Radiology|November 20, 2019
CAD and AI for breast cancer-recent development and challengesHeang-Ping Chan, Ravi K Samala, Lubomir M Hadjiiski
The British Journal of Radiology|March 27, 2023
Data drift in medical machine learning: implications and potential remediesBerkman Sahiner, Weijie Chen, Ravi K Samala, et al.
Journal of Imaging Informatics in Medicine|March 26, 2026
Data Representativeness with Hyperdimensional ComputingAlexis Burgon, Nicholas Petrick, Daniel Krainak, et al.
Advances in Experimental Medicine and Biology|February 8, 2020
Deep Learning in Medical Image AnalysisHeang-Ping Chan, Ravi K Samala, Lubomir M Hadjiiski, et al.
Medical Physics|December 28, 2020
Risks of feature leakage and sample size dependencies in deep feature extraction for breast mass classificationRavi K Samala, Heang-Ping Chan, Lubomir Hadjiiski, et al.
Physics in Medicine and Biology|September 21, 2016
Analysis of computer-aided detection techniques and signal characteristics for clustered microcalcifications on digital mammography and digital breast tomosynthesisRavi K Samala, Heang-Ping Chan, Lubomir M Hadjiiski, et al.
Medical Physics|January 8, 2015
Multiscale bilateral filtering for improving image quality in digital breast tomosynthesisYao Lu, Heang-Ping Chan, Jun Wei, et al.
Physics in Medicine and Biology|August 24, 2017
Improving image quality for digital breast tomosynthesis: an automated detection and diffusion-based method for metal artifact reductionYao Lu, Heang-Ping Chan, Jun Wei, et al.
Journal of Medical Imaging (Bellingham, Wash.)|January 29, 2024
Decision region analysis for generalizability of artificial intelligence models: estimating model generalizability in the case of cross-reactivity and population shiftAlexis Burgon, Berkman Sahiner, Nicholas Petrick, et al.
Pageof 4