Amir H. Abdi
Orcid: 0000-0002-3169-4477
According to our database1,
Amir H. Abdi
authored at least 29 papers
between 2017 and 2023.
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Bibliography
2023
Scaleformer: Iterative Multi-scale Refining Transformers for Time Series Forecasting.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
2022
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
2021
Proceedings of the Medical Imaging 2021: Image-Guided Procedures, 2021
Proceedings of the Medical Imaging 2021: Image-Guided Procedures, 2021
2020
On Modelling Label Uncertainty in Deep Neural Networks: Automatic Estimation of Intra- Observer Variability in 2D Echocardiography Quality Assessment.
IEEE Trans. Medical Imaging, 2020
Automatic cine-based detection of patients at high risk of heart failure with reduced ejection fraction in echocardiograms.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2020
2019
Cardiac Phase Detection in Echocardiograms With Densely Gated Recurrent Neural Networks and Global Extrema Loss.
IEEE Trans. Medical Imaging, 2019
CoRR, 2019
Proceedings of the Medical Imaging 2019: Image-Guided Procedures, 2019
AnatomyGen: Deep Anatomy Generation From Dense Representation With Applications in Mandible Synthesis.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Semi-Supervised Learning For Cardiac Left Ventricle Segmentation Using Conditional Deep Generative Models as Prior.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
2018
Muscle Excitation Estimation in Biomechanical Simulation Using NAF Reinforcement Learning.
CoRR, 2018
Int. J. Comput. Assist. Radiol. Surg., 2018
Quantitative Echocardiography: Real-Time Quality Estimation and View Classification Implemented on a Mobile Android Device.
Proceedings of the Simulation, Image Processing, and Ultrasound Systems for Assisted Diagnosis and Navigation, 2018
A Unified Framework Integrating Recurrent Fully-Convolutional Networks and Optical Flow for Segmentation of the Left Ventricle in Echocardiography Data.
Proceedings of the Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support, 2018
Automatic Detection of Patients with a High Risk of Systolic Cardiac Failure in Echocardiography.
Proceedings of the Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support, 2018
2017
Correction to "Automatic Quality Assessment of Echocardiograms Using Convolutional Neural Networks: Feasibility on the Apical Four-Chamber View".
IEEE Trans. Medical Imaging, 2017
Automatic Quality Assessment of Echocardiograms Using Convolutional Neural Networks: Feasibility on the Apical Four-Chamber View.
IEEE Trans. Medical Imaging, 2017
Automatic quality assessment of apical four-chamber echocardiograms using deep convolutional neural networks.
Proceedings of the Medical Imaging 2017: Image Processing, 2017
Deep Residual Recurrent Neural Networks for Characterisation of Cardiac Cycle Phase from Echocardiograms.
Proceedings of the Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support, 2017
Quality Assessment of Echocardiographic Cine Using Recurrent Neural Networks: Feasibility on Five Standard View Planes.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017