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Matthew A Barish

Showing results (21-30 of 32) with videos related to

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Journal of Computer Assisted Tomography|January 25, 2024
Maternal and Fetal Radiation-Induced Cancer Risk From Computed Tomography Pulmonary Angiography During Pregnancy: A Retrospective Cohort Study Across a Multihospital Integrated Health Care NetworkStuart L Cohen, Chinara Feizullayeva, Jason J Wang, et al.
Medical Physics|May 7, 2010
Increasing computer-aided detection specificity by projection features for CT colonographyHongbin Zhu, Zhengrong Liang, Perry J Pickhardt, et al.
Radiology. Artificial Intelligence|May 13, 2026
Clinical Implementation of AI for Pulmonary Embolism Detection in over 30,000 CT Pulmonary Angiography ExaminationsShlomit Goldberg-Stein, Amir Gandomi, Matthew A Barish, et al.
Research and Practice in Thrombosis and Haemostasis|March 18, 2021
Validation of the IMPROVE-DD risk assessment model for venous thromboembolism among hospitalized patients with COVID-19Alex C Spyropoulos, Stuart L Cohen, Eugenia Gianos, et al.
Journal of Thrombosis and Thrombolysis|March 5, 2021
Incidence of Venous Thromboembolism and Mortality in Patients with Initial Presentation of COVID-19Dimitrios Giannis, Matthew A Barish, Mark Goldin, et al.
Journal of Women'S Health (2002)|April 22, 2021
Sex-Based Differences in COVID-19 OutcomesAstha Tejpal, Eugenia Gianos, Jane Cerise, et al.
Abdominal Radiology (New York)|August 5, 2020
CT colonography's role in the COVID-19 pandemic: a safe(r), socially distanced total colon examinationCourtney C Moreno, Judy Yee, Firas S Ahmed, et al.
Radiology|July 1, 2005
CT colonography reporting and data system: a consensus proposalMichael E Zalis, Matthew A Barish, J Richard Choi, et al.
Journal of Thrombosis and Thrombolysis|June 19, 2021
External validation of the IMPROVE-DD risk assessment model for venous thromboembolism among inpatients with COVID-19Mark Goldin, Stephanie K Lin, Nina Kohn, et al.
The Oncologist|February 25, 2026
Computationally Assisted Patient Finding for Navigation to Optimize Pancreatic Cancer Care AccessDaniel A King, Kristen M John, Joseph Tenner, et al.
Pageof 4

Showing results (21-30 of 32) with videos related to

Sort By:
Pageof 4
Journal of Computer Assisted Tomography|January 25, 2024
Maternal and Fetal Radiation-Induced Cancer Risk From Computed Tomography Pulmonary Angiography During Pregnancy: A Retrospective Cohort Study Across a Multihospital Integrated Health Care NetworkStuart L Cohen, Chinara Feizullayeva, Jason J Wang, et al.
Medical Physics|May 7, 2010
Increasing computer-aided detection specificity by projection features for CT colonographyHongbin Zhu, Zhengrong Liang, Perry J Pickhardt, et al.
Radiology. Artificial Intelligence|May 13, 2026
Clinical Implementation of AI for Pulmonary Embolism Detection in over 30,000 CT Pulmonary Angiography ExaminationsShlomit Goldberg-Stein, Amir Gandomi, Matthew A Barish, et al.
Research and Practice in Thrombosis and Haemostasis|March 18, 2021
Validation of the IMPROVE-DD risk assessment model for venous thromboembolism among hospitalized patients with COVID-19Alex C Spyropoulos, Stuart L Cohen, Eugenia Gianos, et al.
Journal of Thrombosis and Thrombolysis|March 5, 2021
Incidence of Venous Thromboembolism and Mortality in Patients with Initial Presentation of COVID-19Dimitrios Giannis, Matthew A Barish, Mark Goldin, et al.
Journal of Women'S Health (2002)|April 22, 2021
Sex-Based Differences in COVID-19 OutcomesAstha Tejpal, Eugenia Gianos, Jane Cerise, et al.
Abdominal Radiology (New York)|August 5, 2020
CT colonography's role in the COVID-19 pandemic: a safe(r), socially distanced total colon examinationCourtney C Moreno, Judy Yee, Firas S Ahmed, et al.
Radiology|July 1, 2005
CT colonography reporting and data system: a consensus proposalMichael E Zalis, Matthew A Barish, J Richard Choi, et al.
Journal of Thrombosis and Thrombolysis|June 19, 2021
External validation of the IMPROVE-DD risk assessment model for venous thromboembolism among inpatients with COVID-19Mark Goldin, Stephanie K Lin, Nina Kohn, et al.
The Oncologist|February 25, 2026
Computationally Assisted Patient Finding for Navigation to Optimize Pancreatic Cancer Care AccessDaniel A King, Kristen M John, Joseph Tenner, et al.
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