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Berkman Sahiner

Showing results (121-130 of 135) with videos related to

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Journal of the National Cancer Institute|June 13, 2024
Resource requirements to accelerate clinical applications of next-generation sequencing and radiomics: workshop commentary and reviewLyndsay Harris, Lalitha K Shankar, Claire Hildebrandt, et al.
Medical Physics|July 21, 2004
An observer study comparing spot imaging regions selected by radiologists and a computer for an automated stereo spot mammography techniqueMitchell M Goodsitt, Heang-Ping Chan, Justin T Lydick, et al.
Medical Physics|July 5, 2013
Quality assurance and training procedures for computer-aided detection and diagnosis systems in clinical useZhimin Huo, Ronald M Summers, Sophie Paquerault, et al.
Radiology|June 28, 2006
Breast masses: computer-aided diagnosis with serial mammogramsLubomir Hadjiiski, Berkman Sahiner, Mark A Helvie, et al.
Academic Radiology|April 21, 2009
Multi-modality CADx: ROC study of the effect on radiologists' accuracy in characterizing breast masses on mammograms and 3D ultrasound imagesBerkman Sahiner, Heang-Ping Chan, Lubomir M Hadjiiski, et al.
BMC Medical Informatics and Decision Making|December 31, 2015
Classification of follicular lymphoma: the effect of computer aid on pathologists gradingMohammad Faizal Ahmad Fauzi, Michael Pennell, Berkman Sahiner, et al.
Academic Radiology|February 7, 2012
Evaluating imaging and computer-aided detection and diagnosis devices at the FDABrandon D Gallas, Heang-Ping Chan, Carl J D'Orsi, et al.
Radiology|March 3, 2004
Sensitivity of noncommercial computer-aided detection system for mammographic breast cancer detection: pilot clinical trialMark A Helvie, Lubomir Hadjiiski, Erini Makariou, et al.
Medical Physics|August 10, 2013
Evaluation of computer-aided detection and diagnosis systemsNicholas Petrick, Berkman Sahiner, Samuel G Armato, et al.
Medical Physics|December 24, 2022
AAPM task group report 273: Recommendations on best practices for AI and machine learning for computer-aided diagnosis in medical imagingLubomir Hadjiiski, Kenny Cha, Heang-Ping Chan, et al.
Pageof 14

Showing results (121-130 of 135) with videos related to

Sort By:
Pageof 14
Journal of the National Cancer Institute|June 13, 2024
Resource requirements to accelerate clinical applications of next-generation sequencing and radiomics: workshop commentary and reviewLyndsay Harris, Lalitha K Shankar, Claire Hildebrandt, et al.
Medical Physics|July 21, 2004
An observer study comparing spot imaging regions selected by radiologists and a computer for an automated stereo spot mammography techniqueMitchell M Goodsitt, Heang-Ping Chan, Justin T Lydick, et al.
Medical Physics|July 5, 2013
Quality assurance and training procedures for computer-aided detection and diagnosis systems in clinical useZhimin Huo, Ronald M Summers, Sophie Paquerault, et al.
Radiology|June 28, 2006
Breast masses: computer-aided diagnosis with serial mammogramsLubomir Hadjiiski, Berkman Sahiner, Mark A Helvie, et al.
Academic Radiology|April 21, 2009
Multi-modality CADx: ROC study of the effect on radiologists' accuracy in characterizing breast masses on mammograms and 3D ultrasound imagesBerkman Sahiner, Heang-Ping Chan, Lubomir M Hadjiiski, et al.
BMC Medical Informatics and Decision Making|December 31, 2015
Classification of follicular lymphoma: the effect of computer aid on pathologists gradingMohammad Faizal Ahmad Fauzi, Michael Pennell, Berkman Sahiner, et al.
Academic Radiology|February 7, 2012
Evaluating imaging and computer-aided detection and diagnosis devices at the FDABrandon D Gallas, Heang-Ping Chan, Carl J D'Orsi, et al.
Radiology|March 3, 2004
Sensitivity of noncommercial computer-aided detection system for mammographic breast cancer detection: pilot clinical trialMark A Helvie, Lubomir Hadjiiski, Erini Makariou, et al.
Medical Physics|August 10, 2013
Evaluation of computer-aided detection and diagnosis systemsNicholas Petrick, Berkman Sahiner, Samuel G Armato, et al.
Medical Physics|December 24, 2022
AAPM task group report 273: Recommendations on best practices for AI and machine learning for computer-aided diagnosis in medical imagingLubomir Hadjiiski, Kenny Cha, Heang-Ping Chan, et al.
Pageof 14