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Armin Saadat
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2020 – today
- 2026
[i5]Bahar Khodabakhshian, Nima Hashemi, Armin Saadat, Zahra Gholami, In-Chang Hwang, Samira Sojoudi, Christina Luong, Purang Abolmaesumi, Teresa Tsang:
Point Tracking as a Temporal Cue for Robust Myocardial Segmentation in Echocardiography Videos. CoRR abs/2601.09207 (2026)
[i4]Armin Saadat, Nima Hashemi, Bahar Khodabakhshian, Michael Y. Tsang, Christina Luong, Teresa S. M. Tsang, Purang Abolmaesumi:
Optimizing Point-of-Care Ultrasound Video Acquisition for Probabilistic Multi-Task Heart Failure Detection. CoRR abs/2602.13658 (2026)- 2025
[c3]Armin Saadat, Nima Hashemi, Hooman Vaseli, Michael Y. Tsang, Christina Luong, Michiel van de Panne, Teresa S. M. Tsang
, Purang Abolmaesumi:
PRECISE-AS: Personalized Reinforcement Learning for Efficient Point-of-Care Echocardiography in Aortic Stenosis Diagnosis. MICCAI (14) 2025: 474-484
[i3]Armin Saadat, Nima Hashemi, Hooman Vaseli, Michael Y. Tsang, Christina Luong, Michiel van de Panne, Teresa S. M. Tsang, Purang Abolmaesumi:
PRECISE-AS: Personalized Reinforcement Learning for Efficient Point-of-Care Echocardiography in Aortic Stenosis Diagnosis. CoRR abs/2509.02898 (2025)- 2024
[c2]Atrin Arya, Sana Ayromlou, Armin Saadat, Purang Abolmaesumi, Xiaoxiao Li:
Federated Impression for Learning with Distributed Heterogeneous Data. ISIC/iMIMIC/EARTH/DeCaF@MICCAI 2024: 215-225
[i2]Sana Ayromlou, Atrin Arya, Armin Saadat, Purang Abolmaesumi, Xiaoxiao Li:
Federated Impression for Learning with Distributed Heterogeneous Data. CoRR abs/2409.07351 (2024)- 2023
[c1]Hooman Vaseli
, Ang Nan Gu
, S. Neda Ahmadi Amiri
, Michael Y. Tsang, Andrea Fung, Nima Kondori
, Armin Saadat
, Purang Abolmaesumi, Teresa S. M. Tsang
:
ProtoASNet: Dynamic Prototypes for Inherently Interpretable and Uncertainty-Aware Aortic Stenosis Classification in Echocardiography. MICCAI (6) 2023: 368-378
[i1]Hooman Vaseli, Ang Nan Gu, S. Neda Ahmadi Amiri, Michael Y. Tsang, Andrea Fung, Nima Kondori, Armin Saadat, Purang Abolmaesumi, Teresa S. M. Tsang:
ProtoASNet: Dynamic Prototypes for Inherently Interpretable and Uncertainty-Aware Aortic Stenosis Classification in Echocardiography. CoRR abs/2307.14433 (2023)
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