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Sean Benson

Showing results (1-10 of 18) with videos related to

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Journal of AHIMA|February 23, 2011
Meaningful use and clinical documentationSean Benson
Healthcare Financial Management : Journal of the Healthcare Financial Management Association|June 17, 2009
Lessons from RACs: improvements to ensure maximum paymentsSean Benson, Andre L'Heureux
Frontiers in Gastroenterology (Lausanne, Switzerland)|March 13, 2026
Editorial: <i>In vivo</i> and <i>in situ</i> imaging for characterization of colorectal cancerSean Benson, Frauke Alves
European Radiology|December 31, 2024
Generalizability, robustness, and correction bias of segmentations of thoracic organs at risk in CT imagesCorentin Guérendel, Liliana Petrychenko, Kalina Chupetlovska, et al.
Journal of the American Board of Family Medicine : JABFM|July 10, 2010
Unmet dental needs in rural primary care: a clinic-, community-, and practice-based research network collaborativeMelinda M Davis, Thomas J Hilton, Sean Benson, et al.
European Radiology|July 12, 2024
Diagnostic performance of ADC and ADCratio in MRI-based prostate cancer assessment: A systematic review and meta-analysisGeorgios Agrotis, Eduardo Pooch, Mohamed Abdelatty, et al.
NPJ Precision Oncology|February 12, 2025
Author Correction: An automated deep learning pipeline for EMVI classification and response prediction of rectal cancer using baseline MRI: a multi-centre studyLishan Cai, Doenja M J Lambregts, Geerard L Beets, et al.
NPJ Precision Oncology|January 22, 2024
An automated deep learning pipeline for EMVI classification and response prediction of rectal cancer using baseline MRI: a multi-centre studyLishan Cai, Doenja M J Lambregts, Geerard L Beets, et al.
Surgical Endoscopy|October 13, 2021
The use of deep learning on endoscopic images to assess the response of rectal cancer after chemoradiationHester E Haak, Xinpei Gao, Monique Maas, et al.
Scientific Reports|January 13, 2026
Improving rectal tumor segmentation with anomaly fusion derived from anatomical inpainting: a multicenter studyLishan Cai, Mohamed A Abdelatty, Luyi Han, et al.
Pageof 2

Showing results (1-10 of 18) with videos related to

Sort By:
Pageof 2
Journal of AHIMA|February 23, 2011
Meaningful use and clinical documentationSean Benson
Healthcare Financial Management : Journal of the Healthcare Financial Management Association|June 17, 2009
Lessons from RACs: improvements to ensure maximum paymentsSean Benson, Andre L'Heureux
Frontiers in Gastroenterology (Lausanne, Switzerland)|March 13, 2026
Editorial: <i>In vivo</i> and <i>in situ</i> imaging for characterization of colorectal cancerSean Benson, Frauke Alves
European Radiology|December 31, 2024
Generalizability, robustness, and correction bias of segmentations of thoracic organs at risk in CT imagesCorentin Guérendel, Liliana Petrychenko, Kalina Chupetlovska, et al.
Journal of the American Board of Family Medicine : JABFM|July 10, 2010
Unmet dental needs in rural primary care: a clinic-, community-, and practice-based research network collaborativeMelinda M Davis, Thomas J Hilton, Sean Benson, et al.
European Radiology|July 12, 2024
Diagnostic performance of ADC and ADCratio in MRI-based prostate cancer assessment: A systematic review and meta-analysisGeorgios Agrotis, Eduardo Pooch, Mohamed Abdelatty, et al.
NPJ Precision Oncology|February 12, 2025
Author Correction: An automated deep learning pipeline for EMVI classification and response prediction of rectal cancer using baseline MRI: a multi-centre studyLishan Cai, Doenja M J Lambregts, Geerard L Beets, et al.
NPJ Precision Oncology|January 22, 2024
An automated deep learning pipeline for EMVI classification and response prediction of rectal cancer using baseline MRI: a multi-centre studyLishan Cai, Doenja M J Lambregts, Geerard L Beets, et al.
Surgical Endoscopy|October 13, 2021
The use of deep learning on endoscopic images to assess the response of rectal cancer after chemoradiationHester E Haak, Xinpei Gao, Monique Maas, et al.
Scientific Reports|January 13, 2026
Improving rectal tumor segmentation with anomaly fusion derived from anatomical inpainting: a multicenter studyLishan Cai, Mohamed A Abdelatty, Luyi Han, et al.
Pageof 2