Follow
Marco Piccirilli
Marco Piccirilli
Unknown affiliation
No verified email
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
8732017
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
1362020
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
692016
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
672020
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
622010
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
472011
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
292015
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
92017
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
82021
European and American hypertension guidelines and goal blood pressure: Relevance to India.
CVS Ram
Indian heart journal 70 (4), 465, 2018
62018
Machine Learning Approaches to Human Body Shape Analysis
M Piccirilli
West Virginia University, 2018
32018
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
12019
SURFACE ECG-BASED MACHINE LEARNING MODEL FOR PREDICTING PATIENT SUBGROUP AT A HIGH RISK FOR MAJOR ADVERSE CARDIAC EVENTS
H Patel, N Yanamala, M Tokodi, N Kagiyama, M Piccirilli, S Shrestha, ...
Journal of the American College of Cardiology 77 (18_Supplement_1), 3227-3227, 2021
2021
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
Learning to think like Machines
MJ Khalil, M Piccirilli, PP Sengupta
Indian heart journal 70 (4), 469, 2018
2018
The system can't perform the operation now. Try again later.
Articles 1–20