Sengupta PP - Search Results

1

Reply: Deep Learning With Unsupervised Feature in Echocardiographic Imaging.

Narula S, Shameer K, Salem Omar AM, Dudley JT, Sengupta PP. Narula S, et al. Among authors: sengupta pp. J Am Coll Cardiol. 2017 Apr 25;69(16):2101-2102. doi: 10.1016/j.jacc.2017.01.062. J Am Coll Cardiol. 2017. PMID: 28427589 Free article. No abstract available.

2

Cognitive Machine-Learning Algorithm for Cardiac Imaging: A Pilot Study for Differentiating Constrictive Pericarditis From Restrictive Cardiomyopathy.

Sengupta PP, Huang YM, Bansal M, Ashrafi A, Fisher M, Shameer K, Gall W, Dudley JT. Sengupta PP, et al. Circ Cardiovasc Imaging. 2016 Jun;9(6):e004330. doi: 10.1161/CIRCIMAGING.115.004330. Circ Cardiovasc Imaging. 2016. PMID: 27266599 Free PMC article.

3

Dynamic Changes in LV Radius as a Marker of Septal Configuration for Predicting RV Failure Following LVAD Implantation.

Park CS, Akhabue E, Bansal M, Marks J, Salem Omar AM, Pinney SP, Anyanwu A, Chaudhry F, Narula J, Sengupta PP. Park CS, et al. Among authors: sengupta pp. JACC Cardiovasc Imaging. 2017 May;10(5):598-599. doi: 10.1016/j.jcmg.2016.04.002. Epub 2016 Jul 13. JACC Cardiovasc Imaging. 2017. PMID: 27424242 Free article. No abstract available.

4

Machine-Learning Algorithms to Automate Morphological and Functional Assessments in 2D Echocardiography.

Narula S, Shameer K, Salem Omar AM, Dudley JT, Sengupta PP. Narula S, et al. Among authors: sengupta pp. J Am Coll Cardiol. 2016 Nov 29;68(21):2287-2295. doi: 10.1016/j.jacc.2016.08.062. J Am Coll Cardiol. 2016. PMID: 27884247 Free article.

5

PREDICTIVE MODELING OF HOSPITAL READMISSION RATES USING ELECTRONIC MEDICAL RECORD-WIDE MACHINE LEARNING: A CASE-STUDY USING MOUNT SINAI HEART FAILURE COHORT.

Shameer K, Johnson KW, Yahi A, Miotto R, Li LI, Ricks D, Jebakaran J, Kovatch P, Sengupta PP, Gelijns S, Moskovitz A, Darrow B, David DL, Kasarskis A, Tatonetti NP, Pinney S, Dudley JT. Shameer K, et al. Among authors: sengupta pp. Pac Symp Biocomput. 2017;22:276-287. doi: 10.1142/9789813207813_0027. Pac Symp Biocomput. 2017. PMID: 27896982 Free PMC article.

6

Precision Phenotyping in Heart Failure and Pattern Clustering of Ultrasound Data for the Assessment of Diastolic Dysfunction.

Omar AMS, Narula S, Abdel Rahman MA, Pedrizzetti G, Raslan H, Rifaie O, Narula J, Sengupta PP. Omar AMS, et al. Among authors: sengupta pp. JACC Cardiovasc Imaging. 2017 Nov;10(11):1291-1303. doi: 10.1016/j.jcmg.2016.10.012. Epub 2017 Jan 18. JACC Cardiovasc Imaging. 2017. PMID: 28109936 Free article.

7

Artificial Intelligence-Based Assessment of Left Ventricular Filling Pressures From 2-Dimensional Cardiac Ultrasound Images.

Salem Omar AM, Shameer K, Narula S, Abdel Rahman MA, Rifaie O, Narula J, Dudley JT, Sengupta PP. Salem Omar AM, et al. Among authors: sengupta pp. JACC Cardiovasc Imaging. 2018 Mar;11(3):509-510. doi: 10.1016/j.jcmg.2017.05.003. Epub 2017 Jul 19. JACC Cardiovasc Imaging. 2018. PMID: 28734920 Free article. No abstract available.

8

Machine learning in cardiovascular medicine: are we there yet?

Shameer K, Johnson KW, Glicksberg BS, Dudley JT, Sengupta PP. Shameer K, et al. Among authors: sengupta pp. Heart. 2018 Jul;104(14):1156-1164. doi: 10.1136/heartjnl-2017-311198. Epub 2018 Jan 19. Heart. 2018. PMID: 29352006 Review.

9

Phenotypic Clustering of Left Ventricular Diastolic Function Parameters: Patterns and Prognostic Relevance.

Lancaster MC, Salem Omar AM, Narula S, Kulkarni H, Narula J, Sengupta PP. Lancaster MC, et al. Among authors: sengupta pp. JACC Cardiovasc Imaging. 2019 Jul;12(7 Pt 1):1149-1161. doi: 10.1016/j.jcmg.2018.02.005. Epub 2018 Apr 18. JACC Cardiovasc Imaging. 2019. PMID: 29680357 Free article.

10

The whole is greater than the sum of its parts: combining classical statistical and machine intelligence methods in medicine.

Shameer K, Johnson KW, Glicksberg BS, Dudley JT, Sengupta PP. Shameer K, et al. Among authors: sengupta pp. Heart. 2018 Jul;104(14):1228. doi: 10.1136/heartjnl-2018-313377. Heart. 2018. PMID: 29945951 No abstract available.

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