no code implementations • 27 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.
no code implementations • 30 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.
1 code implementation • 30 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).
1 code implementation • 3 Apr 2020 • Elizabeth K. Cole, Joseph Y. Cheng, John M. Pauly, Shreyas S. Vasanawala
Many real-world signal sources are complex-valued, having real and imaginary components.
no code implementations • 5 Dec 2019 • Jeffrey Ma, Ukash Nakarmi, Cedric Yue Sik Kin, Christopher Sandino, Joseph Y. Cheng, Ali B. Syed, Peter Wei, John M. Pauly, Shreyas Vasanawala
Magnetic Resonance Imaging (MRI) suffers from several artifacts, the most common of which are motion artifacts.
no code implementations • 13 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.
no code implementations • 24 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).
1 code implementation • 30 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
1 code implementation • 19 Mar 2019 • Joseph Y. Cheng, Feiyu Chen, Christopher Sandino, Morteza Mardani, John M. Pauly, Shreyas S. Vasanawala
Data-driven learning provides a solution to address these challenges.
no code implementations • 28 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).
1 code implementation • 8 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.
2 code implementations • 31 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.