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Katherine Andriole

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

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Behavioural Processes|August 17, 2010
Precedence of spatial pattern learning revealed by immediate reversal performanceMichael F Brown, Bradley R Sturz, Katherine Andriole, et al.
Clinical Kidney Journal|April 13, 2019
Use of machine-learning algorithms to determine features of systolic blood pressure variability that predict poor outcomes in hypertensive patientsRonilda C Lacson, Bowen Baker, Harini Suresh, et al.
Radiographics : a Review Publication of the Radiological Society of North America, Inc|January 20, 2004
AAPM/RSNA tutorial on equipment selection: PACS equipment overview: general guidelines for purchasing and acceptance testing of PACS equipmentEhsan Samei, J Anthony Seibert, Katherine Andriole, et al.
Journal of the American College of Radiology : JACR|June 5, 2007
Digital radiography image quality: image processing and displayElizabeth A Krupinski, Mark B Williams, Katherine Andriole, et al.
Acta Neurochirurgica|May 24, 2013
Factors associated with external ventricular drain placement accuracy: data from an electronic health record repositoryVaibhav Patil, Ronilda Lacson, Kirby G Vosburgh, et al.
Journal of the American College of Radiology : JACR|April 7, 2007
Digital mammography image quality: image displayEliot Siegel, Elizabeth Krupinski, Ehsan Samei, et al.
Cancer|February 15, 2011
Incidence of pulmonary embolism in oncologic outpatients at a tertiary cancer centerAtul B Shinagare, Mengye Guo, Hiroto Hatabu, et al.
Journal of the American Medical Informatics Association : JAMIA|August 6, 2022
Analytics to monitor local impact of the Protecting Access to Medicare Act's imaging clinical decision support requirementsVladimir I Valtchinov, Shawn N Murphy, Ronilda Lacson, et al.
Arxiv|April 10, 2023
Report of the Medical Image De-Identification (MIDI) Task Group -- Best Practices and RecommendationsDavid A Clunie, Adam Flanders, Adam Taylor, et al.
Radiology|November 28, 2018
The RSNA Pediatric Bone Age Machine Learning ChallengeSafwan S Halabi, Luciano M Prevedello, Jayashree Kalpathy-Cramer, et al.
Pageof 1

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

Sort By:
Pageof 1
Behavioural Processes|August 17, 2010
Precedence of spatial pattern learning revealed by immediate reversal performanceMichael F Brown, Bradley R Sturz, Katherine Andriole, et al.
Clinical Kidney Journal|April 13, 2019
Use of machine-learning algorithms to determine features of systolic blood pressure variability that predict poor outcomes in hypertensive patientsRonilda C Lacson, Bowen Baker, Harini Suresh, et al.
Radiographics : a Review Publication of the Radiological Society of North America, Inc|January 20, 2004
AAPM/RSNA tutorial on equipment selection: PACS equipment overview: general guidelines for purchasing and acceptance testing of PACS equipmentEhsan Samei, J Anthony Seibert, Katherine Andriole, et al.
Journal of the American College of Radiology : JACR|June 5, 2007
Digital radiography image quality: image processing and displayElizabeth A Krupinski, Mark B Williams, Katherine Andriole, et al.
Acta Neurochirurgica|May 24, 2013
Factors associated with external ventricular drain placement accuracy: data from an electronic health record repositoryVaibhav Patil, Ronilda Lacson, Kirby G Vosburgh, et al.
Journal of the American College of Radiology : JACR|April 7, 2007
Digital mammography image quality: image displayEliot Siegel, Elizabeth Krupinski, Ehsan Samei, et al.
Cancer|February 15, 2011
Incidence of pulmonary embolism in oncologic outpatients at a tertiary cancer centerAtul B Shinagare, Mengye Guo, Hiroto Hatabu, et al.
Journal of the American Medical Informatics Association : JAMIA|August 6, 2022
Analytics to monitor local impact of the Protecting Access to Medicare Act's imaging clinical decision support requirementsVladimir I Valtchinov, Shawn N Murphy, Ronilda Lacson, et al.
Arxiv|April 10, 2023
Report of the Medical Image De-Identification (MIDI) Task Group -- Best Practices and RecommendationsDavid A Clunie, Adam Flanders, Adam Taylor, et al.
Radiology|November 28, 2018
The RSNA Pediatric Bone Age Machine Learning ChallengeSafwan S Halabi, Luciano M Prevedello, Jayashree Kalpathy-Cramer, et al.
Pageof 1