Unified deep supervised domain adaptation and generalization S Motiian, M Piccirilli, DA Adjeroh, G Doretto Proceedings of the IEEE International Conference on Computer Vision, 5715-5725, 2017 | 245 | 2017 |
Predictability and correlation in human metrology D Adjeroh, D Cao, M Piccirilli, A Ross 2010 IEEE international workshop on information forensics and security, 1-6, 2010 | 56 | 2010 |
Information bottleneck learning using privileged information for visual recognition S Motiian, M Piccirilli, DA Adjeroh, G Doretto Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 50 | 2016 |
Can facial metrology predict gender? D Cao, C Chen, M Piccirilli, D Adjeroh, T Bourlai, A Ross 2011 International Joint Conference on Biometrics (IJCB), 1-8, 2011 | 38 | 2011 |
A mobile structured light system for 3D face acquisition M Piccirilli, G Doretto, A Ross, D Adjeroh IEEE Sensors Journal 16 (7), 1854-1855, 2015 | 20 | 2015 |
A Framework for Analyzing the Whole Body Surface Area from a Single View M Piccirilli, G Doretto, D Adjeroh PloS one 12 (1), e0166749, 2017 | 6 | 2017 |
Machine learning assessment of left ventricular diastolic function based on electrocardiographic features N Kagiyama, M Piccirilli, N Yanamala, S Shrestha, PD Farjo, ... Journal of the American College of Cardiology 76 (8), 930-941, 2020 | 4 | 2020 |
Proposed Requirements for Cardiovascular Imaging-Related Machine Learning Evaluation (PRIME): A Checklist: Reviewed by the American College of Cardiology Healthcare Innovation … PP Sengupta, S Shrestha, B Berthon, E Messas, E Donal, GH Tison, ... JACC: Cardiovascular Imaging 13 (9), 2017-2035, 2020 | 3 | 2020 |
European and American hypertension guidelines and goal blood pressure: Relevance to India. CVS Ram Indian heart journal 70 (4), 465, 2018 | 2 | 2018 |
Machine Learning Approaches to Human Body Shape Analysis M Piccirilli West Virginia University, 2018 | 2 | 2018 |
QUANTITATIVE PREDICTION OF MYOCARDIAL RELAXATION FROM SURFACE ELECTROCARDIOGRAM FOR DIAGNOSIS OF LEFT VENTRICULAR DIASTOLIC DYSFUNCTION N Kagiyama, M Piccirilli, S Shrestha, P Farjo, M Tokodi, ... Journal of the American College of Cardiology 75 (11 Supplement 1), 1070, 2020 | | 2020 |
P2437 Screening for cardiac relaxation abnormalities using surface ECG wavelets for identifying high-risk cardiac phenotypic abnormalities M Piccirilli, S Shrestha, N Kagiyama, L Hu, H Kulkarni, PP Sengupta European Heart Journal 40 (Supplement_1), ehz748. 0769, 2019 | | 2019 |
Screening for cardiac relaxation abnormalities using surface ECG wavelets for identifying high-risk cardiac phenotypic abnormalities M Piccirilli, S Shrestha, N Kagiyama, L Hu, H Kulkarni, PP Sengupta EUROPEAN HEART JOURNAL 40, 1403-1403, 2019 | | 2019 |
PHENOTYPIC PATTERNS OF LEFT VENTRICULAR DIASTOLIC FUNCTION IDENTIFIED USING CLUSTERING APPROACHES M Tokodi, P Farjo, M Piccirilli, S Shrestha, P Sengupta Journal of the American College of Cardiology 73 (9 Supplement 1), 1515, 2019 | | 2019 |
A SEMI-SUPERVISED MACHINE LEARNING PIPELINE FOR CARDIAC RISK STRATIFICATION USING ECHOCARDIOGRAPHIC VARIABLES M Piccirilli, M Tokodi, L Hu, M Ashraf, G Casalang-Verzosa, P Sengupta Journal of the American College of Cardiology 73 (9 Supplement 1), 1441, 2019 | | 2019 |
MACHINE LEARNING PREDICTED FILLING PRESSURES FROM LUNG DOPPLER SIGNALS (LDS) PROVIDE A NOVEL METHOD TO MONITOR PULMONARY CONGESTION IN CONGESTIVE HEART FAILURE PATIENTS M Ashraf, YA Ghaffar, C Virmani, MJ Khalil, L Hu, S Shrestha, M Piccirilli, ... Journal of the American College of Cardiology 73 (9 Supplement 1), 715, 2019 | | 2019 |
ACUTE CORONARY SYNDROMES IN YOUNG ADULTS: APPLICATION OF BAYESIAN NETWORK ANALYSIS FOR DYNAMIC CAUSAL MODELING P Kietrsunthorn, V Petla, M Piccirilli, S Shrestha, AH Amin, P Sengupta Journal of the American College of Cardiology 73 (9 Supplement 1), 215, 2019 | | 2019 |
Learning to think like Machines MJ Khalil, M Piccirilli, PP Sengupta Indian heart journal 70 (4), 469, 2018 | | 2018 |
Proposal for Reporting Items in Machine Learning Evaluation (PRIME) Guidelines for Cardiovascular Imaging Endorsed by the American College of Cardiology Health Care Innovation … B Berthon, E Messas, E Donal, G Tison, JK Min, J D’hooge, JU Voigt, ... | | |
Supplementary Material: Information Bottleneck Learning Using Privileged Information for Visual Recognition S Motiian, M Piccirilli, DA Adjeroh, G Doretto | | |