Search Results for author: Joseph Y. Cheng

Found 12 papers, 6 papers with code

MAEEG: Masked Auto-encoder for EEG Representation Learning

no code implementations27 Oct 2022 Hsiang-Yun Sherry Chien, Hanlin Goh, Christopher M. Sandino, Joseph Y. Cheng

We propose a reconstruction-based self-supervised learning model, the masked auto-encoder for EEG (MAEEG), for learning EEG representations by learning to reconstruct the masked EEG features using a transformer architecture.

EEG Electroencephalogram (EEG) +2

Spectral Decomposition in Deep Networks for Segmentation of Dynamic Medical Images

no code implementations30 Sep 2020 Edgar A. Rios Piedra, Morteza Mardani, Frank Ong, Ukash Nakarmi, Joseph Y. Cheng, Shreyas Vasanawala

Dynamic contrast-enhanced magnetic resonance imaging (DCE- MRI) is a widely used multi-phase technique routinely used in clinical practice.

Segmentation

Subject-Aware Contrastive Learning for Biosignals

1 code implementation30 Jun 2020 Joseph Y. Cheng, Hanlin Goh, Kaan Dogrusoz, Oncel Tuzel, Erdrin Azemi

Datasets for biosignals, such as electroencephalogram (EEG) and electrocardiogram (ECG), often have noisy labels and have limited number of subjects (<100).

Anomaly Detection Contrastive Learning +9

Accelerating cardiac cine MRI using a deep learning-based ESPIRiT reconstruction

no code implementations13 Nov 2019 Christopher M. Sandino, Peng Lai, Shreyas S. Vasanawala, Joseph Y. Cheng

Feasibility of this approach is demonstrated in reconstructions of prospectively undersampled data which were acquired in a single heartbeat per slice.

Image Reconstruction

Reconstruction of Undersampled 3D Non-Cartesian Image-Based Navigators for Coronary MRA Using an Unrolled Deep Learning Model

no code implementations24 Oct 2019 Mario O. Malavé, Corey A. Baron, Srivathsan P. Koundinyan, Christopher M. Sandino, Frank Ong, Joseph Y. Cheng, Dwight G. Nishimura

Reconstruction with the unrolled network completes in a fraction of the time compared to CPU and GPU implementations of $\textit{l}_{1}$-ESPIRiT (20x and 3x speed increases, respectively).

Extreme MRI: Large-Scale Volumetric Dynamic Imaging from Continuous Non-Gated Acquisitions

1 code implementation30 Sep 2019 Frank Ong, Xucheng Zhu, Joseph Y. Cheng, Kevin M. Johnson, Peder E. Z. Larson, Shreyas S. Vasanawala, Michael Lustig

We demonstrate the feasibility of the proposed method on DCE imaging acquired with a golden-angle ordered 3D cones trajectory and pulmonary imaging acquired with a bit-reversed ordered 3D radial trajectory.

Medical Physics Image and Video Processing

Deep Residual Network for Off-Resonance Artifact Correction with Application to Pediatric Body Magnetic Resonance Angiography with 3D Cones

no code implementations28 Sep 2018 David Y Zeng, Jamil Shaikh, Dwight G. Nishimura, Shreyas S. Vasanawala, Joseph Y. Cheng

Long-readout scans, with greater off-resonance artifacts but shorter scan time, were corrected by autofocus and Off-ResNet and compared to short-readout scans by normalized root-mean-square error (NRMSE), structural similarity index (SSIM), and peak signal-to-noise ratio (PSNR).

SSIM

Highly Scalable Image Reconstruction using Deep Neural Networks with Bandpass Filtering

1 code implementation8 May 2018 Joseph Y. Cheng, Feiyu Chen, Marcus T. Alley, John M. Pauly, Shreyas S. Vasanawala

To increase the flexibility and scalability of deep neural networks for image reconstruction, a framework is proposed based on bandpass filtering.

Image Reconstruction

Deep Generative Adversarial Networks for Compressed Sensing Automates MRI

2 code implementations31 May 2017 Morteza Mardani, Enhao Gong, Joseph Y. Cheng, Shreyas Vasanawala, Greg Zaharchuk, Marcus Alley, Neil Thakur, Song Han, William Dally, John M. Pauly, Lei Xing

A multilayer convolutional neural network is then jointly trained based on diagnostic quality images to discriminate the projection quality.

MRI Reconstruction

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