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Joseph Y Lo

Showing results (71-80 of 106) with videos related to

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Radiology. Artificial Intelligence|April 16, 2025
The Duke Lung Cancer Screening (DLCS) Dataset: A Reference Dataset of Annotated Low-Dose Screening Thoracic CTAvivah J Wang, Fakrul Islam Tushar, Michael R Harowicz, et al.
Radiology. Artificial Intelligence|February 11, 2022
Classification of Multiple Diseases on Body CT Scans Using Weakly Supervised Deep LearningFakrul Islam Tushar, Vincent M D'Anniballe, Rui Hou, et al.
Radiology|May 22, 2019
Growth Dynamics of Mammographic Calcifications: Differentiating Ductal Carcinoma in Situ from Benign Breast DiseaseLars J Grimm, Matthew M Miller, Samantha M Thomas, et al.
Medical Physics|July 3, 2015
Development of realistic physical breast phantoms matched to virtual breast phantoms based on human subject dataNooshin Kiarashi, Adam C Nolte, Gregory M Sturgeon, et al.
Radiology|April 23, 2005
Comparative scatter and dose performance of slot-scan and full-field digital chest radiography systemsEhsan Samei, Joseph Y Lo, Terry T Yoshizumi, et al.
Academic Radiology|April 11, 2002
Outcome analysis of patients with acute pancreatitis by using an artificial neural networkMary T Keogan, Joseph Y Lo, Kelly S Freed, et al.
IEEE Transactions on Bio-Medical Engineering|September 11, 2019
Prediction of Upstaged Ductal Carcinoma In Situ Using Forced Labeling and Domain AdaptationRui Hou, Maciej A Mazurowski, Lars J Grimm, et al.
IEEE Transactions on Medical Imaging|April 3, 2014
Development and application of a suite of 4-D virtual breast phantoms for optimization and evaluation of breast imaging systemsNooshin Kiarashi, Joseph Y Lo, Yuan Lin, et al.
Physics in Medicine and Biology|July 11, 2006
Introduction to neutron stimulated emission computed tomographyCarey E Floyd, Janelle E Bender, Amy C Sharma, et al.
Journal of Medical Imaging (Bellingham, Wash.)|March 28, 2019
Three-dimensionally-printed anthropomorphic physical phantom for mammography and digital breast tomosynthesis with custom materials, lesions, and uniform quality control regionAndrea H Rossman, Matthew Catenacci, Christine Zhao, et al.
Pageof 11

Showing results (71-80 of 106) with videos related to

Sort By:
Pageof 11
Radiology. Artificial Intelligence|April 16, 2025
The Duke Lung Cancer Screening (DLCS) Dataset: A Reference Dataset of Annotated Low-Dose Screening Thoracic CTAvivah J Wang, Fakrul Islam Tushar, Michael R Harowicz, et al.
Radiology. Artificial Intelligence|February 11, 2022
Classification of Multiple Diseases on Body CT Scans Using Weakly Supervised Deep LearningFakrul Islam Tushar, Vincent M D'Anniballe, Rui Hou, et al.
Radiology|May 22, 2019
Growth Dynamics of Mammographic Calcifications: Differentiating Ductal Carcinoma in Situ from Benign Breast DiseaseLars J Grimm, Matthew M Miller, Samantha M Thomas, et al.
Medical Physics|July 3, 2015
Development of realistic physical breast phantoms matched to virtual breast phantoms based on human subject dataNooshin Kiarashi, Adam C Nolte, Gregory M Sturgeon, et al.
Radiology|April 23, 2005
Comparative scatter and dose performance of slot-scan and full-field digital chest radiography systemsEhsan Samei, Joseph Y Lo, Terry T Yoshizumi, et al.
Academic Radiology|April 11, 2002
Outcome analysis of patients with acute pancreatitis by using an artificial neural networkMary T Keogan, Joseph Y Lo, Kelly S Freed, et al.
IEEE Transactions on Bio-Medical Engineering|September 11, 2019
Prediction of Upstaged Ductal Carcinoma In Situ Using Forced Labeling and Domain AdaptationRui Hou, Maciej A Mazurowski, Lars J Grimm, et al.
IEEE Transactions on Medical Imaging|April 3, 2014
Development and application of a suite of 4-D virtual breast phantoms for optimization and evaluation of breast imaging systemsNooshin Kiarashi, Joseph Y Lo, Yuan Lin, et al.
Physics in Medicine and Biology|July 11, 2006
Introduction to neutron stimulated emission computed tomographyCarey E Floyd, Janelle E Bender, Amy C Sharma, et al.
Journal of Medical Imaging (Bellingham, Wash.)|March 28, 2019
Three-dimensionally-printed anthropomorphic physical phantom for mammography and digital breast tomosynthesis with custom materials, lesions, and uniform quality control regionAndrea H Rossman, Matthew Catenacci, Christine Zhao, et al.
Pageof 11