Recurrent generative adversarial neural networks for compressive imaging. - Morteza Mardani; Enhao Gong; Joseph Y. Cheng; John M. Pauly; Lei Xing 001 (CAMSAP, 2017)

Deep Generative Adversarial Networks for Compressed Sensing Automates MRI. - Morteza Mardani; Enhao Gong; Joseph Y. Cheng; Shreyas Vasanawala; Greg Zaharchuk; Marcus T. Alley; Neil Thakur; Song Han 003; William J. Dally; John M. Pauly; Lei Xing 001 (CoRR, 2017)

General Phase Regularized Reconstruction using Phase Cycling. - Frank Ong; Joseph Y. Cheng; Michael Lustig (CoRR, 2017)

Highly Scalable Image Reconstruction using Deep Neural Networks with Bandpass Filtering. - Joseph Y. Cheng; Feiyu Chen 004; Marcus T. Alley; John M. Pauly; Shreyas S. Vasanawala (CoRR, 2018)

Deep Residual Network for Off-Resonance Artifact Correction with Application to Pediatric Body Magnetic Resonance Angiography with 3D Cones. - David Y. Zeng; Jamil Shaikh; Dwight G. Nishimura; Shreyas S. Vasanawala; Joseph Y. Cheng (CoRR, 2018)

VAE-GANs for Probabilistic Compressive Image Recovery: Uncertainty Analysis. - Vineet Edupuganti; Morteza Mardani; Joseph Y. Cheng; Shreyas Vasanawala; John M. Pauly (CoRR, 2019)

Compressed Sensing: From Research to Clinical Practice with Data-Driven Learning. - Joseph Y. Cheng; Feiyu Chen 004; Christopher M. Sandino; Morteza Mardani; John M. Pauly; Shreyas S. Vasanawala (CoRR, 2019)

Reconstruction of Undersampled 3D Non-Cartesian Image-Based Navigators for Coronary MRA Using an Unrolled Deep Learning Model. - Mario O. Malavé; Corey A. Baron; Srivathsan P. Koundinyan; Christopher M. Sandino; Frank Ong; Joseph Y. Cheng; Dwight G. Nishimura (CoRR, 2019)

Accelerating cardiac cine MRI beyond compressed sensing using DL-ESPIRiT. - Christopher M. Sandino; Peng Lai; Shreyas S. Vasanawala; Joseph Y. Cheng (CoRR, 2019)

Deep Generative Adversarial Neural Networks for Compressive Sensing MRI. - Morteza Mardani; Enhao Gong; Joseph Y. Cheng; Shreyas S. Vasanawala; Greg Zaharchuk; Lei Xing 001; John M. Pauly (IEEE Trans. Medical Imaging, 2019)

Diagnostic Image Quality Assessment and Classification in Medical Imaging: Opportunities and Challenges. - Jeffrey J. Ma; Ukash Nakarmi; Cedric Yue Sik Kin; Christopher M. Sandino; Joseph Y. Cheng; Ali B. Syed; Peter Wei; John M. Pauly; Shreyas S. Vasanawala (ISBI, 2020)

Multi-scale Unrolled Deep Learning Framework for Accelerated Magnetic Resonance Imaging. - Ukash Nakarmi; Joseph Y. Cheng; Edgar P. Rios; Morteza Mardani; John M. Pauly; Leslie Ying; Shreyas S. Vasanawala (ISBI, 2020)

Complex-Valued Convolutional Neural Networks for MRI Reconstruction. - Elizabeth K. Cole; Joseph Y. Cheng; John M. Pauly; Shreyas S. Vasanawala (CoRR, 2020)

Subject-Aware Contrastive Learning for Biosignals. - Joseph Y. Cheng; Hanlin Goh; Kaan Dogrusoz; Oncel Tuzel; Erdrin Azemi (CoRR, 2020)

Spectral Decomposition in Deep Networks for Segmentation of Dynamic Medical Images. - Edgar A. Rios Piedra; Morteza Mardani; Frank Ong; Ukash Nakarmi; Joseph Y. Cheng; Shreyas Vasanawala (CoRR, 2020)

Compressed Sensing: From Research to Clinical Practice With Deep Neural Networks: Shortening Scan Times for Magnetic Resonance Imaging. - Christopher M. Sandino; Joseph Y. Cheng; Feiyu Chen 004; Morteza Mardani; John M. Pauly; Shreyas S. Vasanawala (IEEE Signal Process. Mag., 2020)

Position Prediction as an Effective Pretraining Strategy. - Shuangfei Zhai; Navdeep Jaitly; Jason Ramapuram; Dan Busbridge; Tatiana Likhomanenko; Joseph Y. Cheng; Walter Talbott; Chen Huang 001; Hanlin Goh; Joshua M. Susskind (ICML, 2022)

Speech Emotion: Investigating Model Representations, Multi-Task Learning and Knowledge Distillation. - Vikramjit Mitra; Hsiang-Yun Sherry Chien; Vasudha Kowtha; Joseph Yitan Cheng; Erdrin Azemi (INTERSPEECH, 2022)

MAEEG: Masked Auto-encoder for EEG Representation Learning. - Hsiang-Yun Sherry Chien; Hanlin Goh; Christopher M. Sandino; Joseph Y. Cheng (CoRR, 2022)

Robustness in Multimodal Learning under Train-Test Modality Mismatch. - Brandon McKinzie; Vaishaal Shankar; Joseph Yitan Cheng; Yinfei Yang; Jonathon Shlens; Alexander T. Toshev (ICML, 2023)

ResoNet: Noise-Trained Physics-Informed MRI Off-Resonance Correction. - Alfredo De Goyeneche Macaya; Shreya Ramachandran; Ke Wang; Ekin Karasan; Joseph Y. Cheng; Stella X. Yu; Michael Lustig (NeurIPS, 2023)

On Robustness in Multimodal Learning. - Brandon McKinzie; Joseph Yitan Cheng; Vaishaal Shankar; Yinfei Yang; Jonathon Shlens; Alexander Toshev (CoRR, 2023)

Disentangled Safety Adapters Enable Efficient Guardrails and Flexible Inference-Time Alignment. - Kundan Krishna; Joseph Y. Cheng; Charles Maalouf; Leon A. Gatys (CoRR, 2025)