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Binu Enchakalody

Showing results (1-10 of 20) with videos related to

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Clinical and Translational Gastroenterology|July 12, 2023
Using Artificial Intelligence to Predict Cirrhosis From Computed Tomography ScansNikhilesh R Mazumder, Binu Enchakalody, Peng Zhang, et al.
Hepatology (Baltimore, Md.)|December 29, 2023
Incorporation of quantitative imaging data using artificial intelligence improves risk prediction in veterans with liver diseaseGrace L Su, Peng Zhang, Patrick X Belancourt, et al.
Clinical Imaging|July 4, 2024
Machine learning methods in automated detection of CT enterography findings in Crohn's disease: A feasibility studyAshish P Wasnik, Mahmoud M Al-Hawary, Binu Enchakalody, et al.
The American Journal of Gastroenterology|April 25, 2024
Artificial Intelligence for Quantifying Cumulative Small Bowel Disease Severity on CT-Enterography in Crohn's DiseaseRyan W Stidham, Binu Enchakalody, Stewart C Wang, et al.
Inflammatory Bowel Diseases|March 26, 2021
The Use of Readily Available Longitudinal Data to Predict the Likelihood of Surgery in Crohn DiseaseRyan W Stidham, Yumu Liu, Binu Enchakalody, et al.
Clinical Gastroenterology and Hepatology : the Official Clinical Practice Journal of the American Gastroenterological Association|August 2, 2014
Use of analytic morphomics of liver, spleen, and body composition to identify patients at risk for cirrhosisVenkat Krishnamurthy, Peng Zhang, Sampath Ethiraj, et al.
Scandinavian Journal of Gastroenterology|October 14, 2011
Development of a quantitative method for the diagnosis of cirrhosisHannu Huhdanpaa, Christopher Douville, Kerry Baum, et al.
The Journal of Craniofacial Surgery|January 26, 2013
Novel temporalis muscle and fat pad morphomic analyses aids preoperative risk evaluation and outcome assessment in nonsyndromic craniosynostosisJacob Rinkinen, Peng Zhang, Lu Wang, et al.
Annals of Plastic Surgery|June 12, 2014
Use of temporal morphomic indices as a clinically important variable in the diagnosis of nonsyndromic craniosynostosisJacob Rinkinen, Lu Wang, Peng Zhang, et al.
The Journal of Craniofacial Surgery|April 22, 2016
Early Development of the Mouse MorphomeJoseph A Hampel, Jacob Rinkinen, Jonathan R Peterson, et al.
Pageof 2

Showing results (1-10 of 20) with videos related to

Sort By:
Pageof 2
Clinical and Translational Gastroenterology|July 12, 2023
Using Artificial Intelligence to Predict Cirrhosis From Computed Tomography ScansNikhilesh R Mazumder, Binu Enchakalody, Peng Zhang, et al.
Hepatology (Baltimore, Md.)|December 29, 2023
Incorporation of quantitative imaging data using artificial intelligence improves risk prediction in veterans with liver diseaseGrace L Su, Peng Zhang, Patrick X Belancourt, et al.
Clinical Imaging|July 4, 2024
Machine learning methods in automated detection of CT enterography findings in Crohn's disease: A feasibility studyAshish P Wasnik, Mahmoud M Al-Hawary, Binu Enchakalody, et al.
The American Journal of Gastroenterology|April 25, 2024
Artificial Intelligence for Quantifying Cumulative Small Bowel Disease Severity on CT-Enterography in Crohn's DiseaseRyan W Stidham, Binu Enchakalody, Stewart C Wang, et al.
Inflammatory Bowel Diseases|March 26, 2021
The Use of Readily Available Longitudinal Data to Predict the Likelihood of Surgery in Crohn DiseaseRyan W Stidham, Yumu Liu, Binu Enchakalody, et al.
Clinical Gastroenterology and Hepatology : the Official Clinical Practice Journal of the American Gastroenterological Association|August 2, 2014
Use of analytic morphomics of liver, spleen, and body composition to identify patients at risk for cirrhosisVenkat Krishnamurthy, Peng Zhang, Sampath Ethiraj, et al.
Scandinavian Journal of Gastroenterology|October 14, 2011
Development of a quantitative method for the diagnosis of cirrhosisHannu Huhdanpaa, Christopher Douville, Kerry Baum, et al.
The Journal of Craniofacial Surgery|January 26, 2013
Novel temporalis muscle and fat pad morphomic analyses aids preoperative risk evaluation and outcome assessment in nonsyndromic craniosynostosisJacob Rinkinen, Peng Zhang, Lu Wang, et al.
Annals of Plastic Surgery|June 12, 2014
Use of temporal morphomic indices as a clinically important variable in the diagnosis of nonsyndromic craniosynostosisJacob Rinkinen, Lu Wang, Peng Zhang, et al.
The Journal of Craniofacial Surgery|April 22, 2016
Early Development of the Mouse MorphomeJoseph A Hampel, Jacob Rinkinen, Jonathan R Peterson, et al.
Pageof 2