most citedGAN-enhanced Conditional Echocardiogram Generation

6 citations · 19 across the 7 of their papers we have counts for

collaborators

8 papers

cs.LG2019★ 2 cited

Variational Learning with Disentanglement-PyTorch

Amir H. Abdi, Purang Abolmaesumi, Sidney Fels

Unsupervised learning of disentangled representations is an open problem in machine learning. The Disentanglement-PyTorch library is developed to facilitate research, implementatio…

eess.IV2019★ 3 cited

A Study into Echocardiography View Conversion

Amir H. Abdi, Mohammad H. Jafari, Sidney Fels +2

Transthoracic echo is one of the most common means of cardiac studies in the clinical routines. During the echo exam, the sonographer captures a set of standard cross sections (ech…

cs.LG2019★ 3 cited

A Preliminary Study of Disentanglement With Insights on the Inadequacy of Metrics

Amir H. Abdi, Purang Abolmaesumi, Sidney Fels

Disentangled encoding is an important step towards a better representation learning. However, despite the numerous efforts, there still is no clear winner that captures the indepen…

eess.IV2019★ 6 cited

GAN-enhanced Conditional Echocardiogram Generation

Amir H. Abdi, Teresa Tsang, Purang Abolmaesumi

Echocardiography (echo) is a common means of evaluating cardiac conditions. Due to the label scarcity, semi-supervised paradigms in automated echo analysis are getting traction. On…

cs.LG2019★ 2 cited

On Modelling Label Uncertainty in Deep Neural Networks: Automatic Estimation of Intra-observer Variability in 2D Echocardiography Quality Assessment

Zhibin Liao, Hany Girgis, Amir Abdi +6

Uncertainty of labels in clinical data resulting from intra-observer variability can have direct impact on the reliability of assessments made by deep neural networks. In this pape…

eess.SP2019★ 1 cited

Reinforcement Learning for High-dimensional Continuous Control in Biomechanics: An Intro to ArtiSynth-RL

Amir H. Abdi, Masoud Malakoutian, Thomas Oxland +1

Neural control is an exciting mystery which we instinctively master. Yet, researchers have a hard time explaining the motor control trajectories. Physiologically accurate biomechan…

cs.LG2019

Variational Shape Completion for Virtual Planning of Jaw Reconstructive Surgery

Amir H. Abdi, Mehran Pesteie, Eitan Prisman +2

The premorbid geometry of the mandible is of significant relevance in jaw reconstructive surgeries and occasionally unknown to the surgical team. In this paper, an optimization fra…

cs.LG2018★ 2 cited

Muscle Excitation Estimation in Biomechanical Simulation Using NAF Reinforcement Learning

Amir H. Abdi, Pramit Saha, Praneeth Srungarapu +1

Motor control is a set of time-varying muscle excitations which generate desired motions for a biomechanical system. Muscle excitations cannot be directly measured from live subjec…