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Binu E. Enchakalody
Binu E. Enchakalody
Application Programmer Senior, Michigan Medicine
Verified email at med.umich.edu
Title
Cited by
Cited by
Year
Assessing small bowel stricturing and morphology in Crohn’s disease using semi-automated image analysis
RW Stidham, B Enchakalody, AK Waljee, PDR Higgins, SC Wang, GL Su, ...
Inflammatory Bowel Diseases 26 (5), 734-742, 2020
502020
Abdominal wall dynamics after component separation hernia repair
J Lisiecki, JH Kozlow, S Agarwal, K Ranganathan, MN Terjimanian, ...
journal of surgical research 193 (1), 497-503, 2015
352015
Use of analytic morphomics of liver, spleen, and body composition to identify patients at risk for cirrhosis
V Krishnamurthy, P Zhang, S Ethiraj, B Enchakalody, AK Waljee, L Wang, ...
Clinical Gastroenterology and Hepatology 13 (2), 360-368. e5, 2015
342015
Analytic morphomics predict outcomes after lung transplantation
MJ Pienta, P Zhang, BA Derstine, B Enchakalody, WB Weir, T Grenda, ...
The Annals of thoracic surgery 105 (2), 399-405, 2018
222018
Novel temporalis muscle and fat pad morphomic analyses aids preoperative risk evaluation and outcome assessment in nonsyndromic craniosynostosis
J Rinkinen, P Zhang, L Wang, B Enchakalody, M Terjimanian, S Holcomb, ...
Journal of Craniofacial Surgery 24 (1), 250-255, 2013
202013
Morphomic analysis for preoperative donor site risk assessment in patients undergoing abdominal perforator flap breast reconstruction: a proof of concept study
B Levi, J Rinkinen, KM Kidwell, M Benedict, IC Stein, J Lisiecki, ...
Journal of reconstructive microsurgery 30 (09), 635-640, 2014
192014
Development of a quantitative method for the diagnosis of cirrhosis
H Huhdanpaa, C Douville, K Baum, VN Krishnamurthy, S Holcombe, ...
Scandinavian journal of gastroenterology 46 (12), 1468-1477, 2011
172011
Automated measurements of body composition in abdominal CT scans using artificial intelligence can predict mortality in patients with cirrhosis
WY Zou, BE Enchakalody, P Zhang, N Shah, SD Saini, NC Wang, ...
Hepatology communications 5 (11), 1901-1910, 2021
132021
Morphomic measurement of the temporalis muscle and zygomatic bone as novel predictors of hospital-based clinical outcomes in patients with mandible fracture
J Lisiecki, P Zhang, L Wang, J Rinkinen, S De La Rosa, B Enchakalody, ...
Journal of Craniofacial Surgery 24 (5), 1577-1581, 2013
132013
Use of temporal morphomic indices as a clinically important variable in the diagnosis of nonsyndromic craniosynostosis
J Rinkinen, L Wang, P Zhang, J Lisiecki, B Enchakalody, S Holcombe, ...
Annals of plastic surgery 73 (1), 86-91, 2014
102014
The use of readily available longitudinal data to predict the likelihood of surgery in Crohn disease
RW Stidham, Y Liu, B Enchakalody, T Van, V Krishnamurthy, GL Su, J Zhu, ...
Inflammatory Bowel Diseases 27 (8), 1328-1334, 2021
72021
Machine learning methods to predict presence of intestine damage in patients with Crohn’s disease
B Enchakalody, R Stidham, B Henderson, S Wang, G Su, AH Mahmoud, ...
https://doi.org/10.1117/12.2549326 11314, 1131436 (2020) https://doi.org/10 …, 2020
62020
Novel application of human morphomics to quantify temporal soft tissues in pierre robin and treacher collins
J Lisiecki, DC Wan, L Wang, P Zhang, B Enchakalody, X Zhang, ...
Journal of Craniofacial Surgery 24 (1), 158-162, 2013
52013
Morphomic factors associated with complete response to Neoadjuvant therapy in esophageal carcinoma
CH Chiu, P Zhang, AC Chang, BA Derstine, BE Ross, B Enchakalody, ...
The Annals of thoracic surgery 109 (1), 241-248, 2020
42020
Using Artificial Intelligence to Predict Cirrhosis From Computed Tomography Scans
NR Mazumder, B Enchakalody, P Zhang, GL Su
Clinical and Translational Gastroenterology 14 (10), e00616, 2023
22023
Analytic morphomics are related to outcomes after lung volume reduction surgery
J Lin, WB Weir, T Grenda, P Zhang, BA Derstine, B Enchakalody, ...
Seminars in thoracic and cardiovascular surgery 34 (3), 1084-1090, 2022
22022
937 analytic morphomics accurately identifies serous and mucinous cystic neoplasms
RS Kwon, A Larson, B Enchakalody, N Wang, SC Wang, GL Su
Gastroenterology 148 (4), S-180, 2015
22015
Incorporation of quantitative imaging data using artificial intelligence improves risk prediction in veterans with liver disease
GL Su, P Zhang, PX Belancourt, B Youles, B Enchakalody, ...
Hepatology, 10.1097, 2023
12023
Automated assessment of bowel damage in intestinal diseases
RW Stidham, B Enchakalody, ALH Mahmoud, A Wasnik, SC Wang
US Patent 10,918,326, 2021
12021
Early development of the mouse Morphome
JA Hampel, J Rinkinen, JR Peterson, S Agarwal, S Loder, O Eboda, ...
Journal of Craniofacial Surgery 27 (3), 621-626, 2016
12016
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