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Disambiguation of "Vaseli, Hooman"

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Automatic Detection of Patients with a High Risk of Systolic Cardiac Failure in Echocardiography.

, , , , , , , , , and . DLMIA/ML-CDS@MICCAI, volume 11045 of Lecture Notes in Computer Science, page 65-73. Springer, (2018)

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Hooman Latifi

Hooman Talebnasab

Hooman Shayani

Hooman Abdollahzadeh Davani

 

Other publications of authors with the same name

Echo-Rhythm Net: Semi-Supervised Learning For Automatic Detection of Atrial Fibrillation in Echocardiography., , , , , , , and . ISBI, page 110-113. IEEE, (2021)Quantitative Echocardiography: Real-Time Quality Estimation and View Classification Implemented on a Mobile Android Device., , , , , , , , , and 2 other author(s). POCUS/BIVPCS/CuRIOUS/CPM@MICCAI, volume 11042 of Lecture Notes in Computer Science, page 74-81. Springer, (2018)Differential Learning from Sparse and Noisy Labels for Robust Detection of Clinical Landmarks in Echo Cine Series., , , , , , and . ASMUS@MICCAI, volume 13565 of Lecture Notes in Computer Science, page 44-53. Springer, (2022)ProtoASNet: Dynamic Prototypes for Inherently Interpretable and Uncertainty-Aware Aortic Stenosis Classification in Echocardiography., , , , , , , , and . MICCAI (6), volume 14225 of Lecture Notes in Computer Science, page 368-378. Springer, (2023)A Unified Framework Integrating Recurrent Fully-Convolutional Networks and Optical Flow for Segmentation of the Left Ventricle in Echocardiography Data., , , , , , , , , and 1 other author(s). DLMIA/ML-CDS@MICCAI, volume 11045 of Lecture Notes in Computer Science, page 29-37. Springer, (2018)Automatic Detection of Patients with a High Risk of Systolic Cardiac Failure in Echocardiography., , , , , , , , , and . DLMIA/ML-CDS@MICCAI, volume 11045 of Lecture Notes in Computer Science, page 65-73. Springer, (2018)On Modelling Label Uncertainty in Deep Neural Networks: Automatic Estimation of Intra- Observer Variability in 2D Echocardiography Quality Assessment., , , , , , , , and . IEEE Trans. Medical Imaging, 39 (6): 1868-1883 (2020)Designing lightweight deep learning models for echocardiography view classification., , , , , , , , , and 2 other author(s). Medical Imaging: Image-Guided Procedures, volume 10951 of SPIE Proceedings, page 109510F. SPIE, (2019)Automatic cine-based detection of patients at high risk of heart failure with reduced ejection fraction in echocardiograms., , , , , , , , , and . Comput. methods Biomech. Biomed. Eng. Imaging Vis., 8 (5): 502-508 (2020)EchoGLAD: Hierarchical Graph Neural Networks for Left Ventricle Landmark Detection on Echocardiograms., , , , , , and . MICCAI (4), volume 14223 of Lecture Notes in Computer Science, page 227-237. Springer, (2023)