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Marco Piccirilli
Marco Piccirilli
Unknown affiliation
Verified email at mix.wvu.edu
Title
Cited by
Cited by
Year
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
5372017
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
602016
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
592010
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, ...
Cardiovascular Imaging 13 (9), 2017-2035, 2020
542020
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
452011
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
292020
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
232015
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
72017
Machine Learning Approaches to Human Body Shape Analysis
M Piccirilli
West Virginia University, 2018
32018
Self-attentive 3D human pose and shape estimation from videos
YC Chen, M Piccirilli, R Piramuthu, MH Yang
Computer Vision and Image Understanding 213, 103305, 2021
22021
European and American hypertension guidelines and goal blood pressure: Relevance to India.
CVS Ram
Indian heart journal 70 (4), 465, 2018
22018
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), 1070-1070, 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 (9S1), 1515-1515, 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 (9S1), 1441-1441, 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 (9S1), 715-715, 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 (9S1), 215-215, 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, ...
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