Spremljaj
Milos Vukadinovic
Milos Vukadinovic
PhD Student, UCLA
Preverjeni e-poštni naslov na ucla.edu - Domača stran
Naslov
Navedeno
Navedeno
Leto
Vision–language foundation model for echocardiogram interpretation
M Christensen, M Vukadinovic, N Yuan, D Ouyang
Nature Medicine, 1-8, 2024
60*2024
Deep learning-enabled analysis of medical images identifies cardiac sphericity as an early marker of cardiomyopathy and related outcomes
M Vukadinovic, AC Kwan, V Yuan, M Salerno, DC Lee, CM Albert, ...
Med 4 (4), 252-262. e3, 2023
92023
High-throughput deep learning detection of mitral regurgitation
A Vrudhula, G Duffy, M Vukadinovic, D Liang, S Cheng, D Ouyang
Circulation 150 (12), 923-933, 2024
82024
EchoPrime: A Multi-Video View-Informed Vision-Language Model for Comprehensive Echocardiography Interpretation
M Vukadinovic, X Tang, N Yuan, P Cheng, D Li, S Cheng, B He, ...
arXiv preprint arXiv:2410.09704, 2024
62024
Recent Advances, Applications, and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2023 Symposium
H Jeong, S Jabbour, Y Yang, R Thapta, H Mozannar, WJ Han, ...
arXiv preprint arXiv:2403.01628, 2024
42024
Impact of Measurement Noise on Genetic Association Studies of Cardiac Function
M Vukadinovic, G Renjith, V Yuan, A Kwan, SC Cheng, D Li, SL Clarke, ...
PACIFIC SYMPOSIUM ON BIOCOMPUTING 2024, 134-147, 2023
2*2023
Deep Learning Phenotyping of Tricuspid Regurgitation for Automated High Throughput Assessment of Transthoracic Echocardiography
A Vrudhula, M Vukadinovic, C Haeffle, AC Kwan, D Berman, D Liang, ...
medRxiv, 2024.06. 22.24309332, 2024
12024
Artificial intelligence to measure left atrial ejection fraction in transthoracic echocardiography videos and its usefulness to assess thromboembolic risk
K Pieszko, B Makowski, B Uzieblo-Zyczkowska, J Bembenek, I Kolasa, ...
European Heart Journal-Cardiovascular Imaging 26 (Supplement_1), jeae333. 049, 2025
2025
Deep Learning Quantification of Aortic Compliance from Parasternal Long-Axis Echocardiograms
J Rhee, E Lu, S Nammalwar, G Duffy, M Vukadinovic, E Chou, D Ouyang
Circulation 150 (Suppl_1), A4142099-A4142099, 2024
2024
Clinical and genetic associations of asymmetric apical and septal left ventricular hypertrophy
V Yuan, M Vukadinovic, AC Kwan, F Rader, D Li, D Ouyang
European Heart Journal-Digital Health 5 (5), 591-600, 2024
2024
Opportunistic Screening of Chronic Liver Disease with Deep Learning Enhanced Echocardiography
Y Sahashi, M Vukadinovic, F Amrollahi, H Trivedi, J Rhee, J Chen, ...
medRxiv, 2024
2024
Automated Evaluation for Pericardial Effusion and Cardiac Tamponade with Echocardiographic Artificial Intelligence
IM Chiu, M Vukadinovic, Y Sahashi, P Cheng, CY Cheng, S Cheng, ...
medRxiv, 2024.11. 27.24318110, 2024
2024
Using Deep learning to Predict Cardiovascular Magnetic Resonance Findings from Echocardiography Videos
Y Sahashi, M Vukadinovic, G Duffy, D Li, S Cheng, DS Berman, D Ouyang, ...
medRxiv, 2024.04. 16.24305936, 2024
2024
GANcMRI: Cardiac magnetic resonance video generation and physiologic guidance using latent space prompting
M Vukadinovic, AC Kwan, D Li, D Ouyang
Machine Learning for Health (ML4H), 594-606, 2023
2023
Optimization over Grassmann Manifolds
M Vukadinovic
2022
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