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ORCIDJoseph Y. Cheng
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- affiliation: Stanford University, Department of Radiology, CA, USA
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2020 – today
- 2023
[c7]Brandon McKinzie, Vaishaal Shankar, Joseph Yitan Cheng, Yinfei Yang, Jonathon Shlens, Alexander T. Toshev:
Robustness in Multimodal Learning under Train-Test Modality Mismatch. ICML 2023: 24291-24303- [c6]Alfredo De Goyeneche Macaya, Shreya Ramachandran, Ke Wang, Ekin Karasan, Joseph Y. Cheng, Stella X. Yu, Michael Lustig:
ResoNet: Noise-Trained Physics-Informed MRI Off-Resonance Correction. NeurIPS 2023 - [i16]Brandon McKinzie, Joseph Yitan Cheng, Vaishaal Shankar, Yinfei Yang, Jonathon Shlens, Alexander Toshev:
On Robustness in Multimodal Learning. CoRR abs/2304.04385 (2023) - 2022
- [c5]Shuangfei Zhai, Navdeep Jaitly, Jason Ramapuram, Dan Busbridge, Tatiana Likhomanenko, Joseph Y. Cheng, Walter Talbott, Chen Huang, Hanlin Goh, Joshua M. Susskind:
Position Prediction as an Effective Pretraining Strategy. ICML 2022: 26010-26027 - [c4]Vikramjit Mitra, Hsiang-Yun Sherry Chien, Vasudha Kowtha, Joseph Yitan Cheng, Erdrin Azemi:
Speech Emotion: Investigating Model Representations, Multi-Task Learning and Knowledge Distillation. INTERSPEECH 2022: 4715-4719 - [i15]Vikramjit Mitra, Hsiang-Yun Sherry Chien, Vasudha Kowtha, Joseph Yitan Cheng, Erdrin Azemi:
Speech Emotion: Investigating Model Representations, Multi-Task Learning and Knowledge Distillation. CoRR abs/2207.03334 (2022) - [i14]Shuangfei Zhai, Navdeep Jaitly, Jason Ramapuram, Dan Busbridge, Tatiana Likhomanenko, Joseph Yitan Cheng, Walter Talbott, Chen Huang, Hanlin Goh, Joshua M. Susskind:
Position Prediction as an Effective Pretraining Strategy. CoRR abs/2207.07611 (2022) - [i13]Hsiang-Yun Sherry Chien, Hanlin Goh, Christopher M. Sandino, Joseph Y. Cheng:
MAEEG: Masked Auto-encoder for EEG Representation Learning. CoRR abs/2211.02625 (2022) - 2020
- [j2]Christopher M. Sandino
, Joseph Y. Cheng, Feiyu Chen, Morteza Mardani, John M. Pauly, Shreyas S. Vasanawala:
Compressed Sensing: From Research to Clinical Practice With Deep Neural Networks: Shortening Scan Times for Magnetic Resonance Imaging. IEEE Signal Process. Mag. 37(1): 117-127 (2020) - [c3]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:
Diagnostic Image Quality Assessment and Classification in Medical Imaging: Opportunities and Challenges. ISBI 2020: 337-340 - [c2]Ukash Nakarmi, Joseph Y. Cheng, Edgar P. Rios, Morteza Mardani, John M. Pauly, Leslie Ying, Shreyas S. Vasanawala:
Multi-scale Unrolled Deep Learning Framework for Accelerated Magnetic Resonance Imaging. ISBI 2020: 1056-1059 - [i12]Elizabeth K. Cole, Joseph Y. Cheng, John M. Pauly, Shreyas S. Vasanawala:
Complex-Valued Convolutional Neural Networks for MRI Reconstruction. CoRR abs/2004.01738 (2020) - [i11]Joseph Y. Cheng, Hanlin Goh, Kaan Dogrusoz, Oncel Tuzel, Erdrin Azemi:
Subject-Aware Contrastive Learning for Biosignals. CoRR abs/2007.04871 (2020) - [i10]Edgar A. Rios Piedra, Morteza Mardani, Frank Ong, Ukash Nakarmi, Joseph Y. Cheng, Shreyas Vasanawala:
Spectral Decomposition in Deep Networks for Segmentation of Dynamic Medical Images. CoRR abs/2010.00003 (2020)
2010 – 2019
- 2019
- [j1]Morteza Mardani, Enhao Gong, Joseph Y. Cheng, Shreyas S. Vasanawala, Greg Zaharchuk, Lei Xing, John M. Pauly:
Deep Generative Adversarial Neural Networks for Compressive Sensing MRI. IEEE Trans. Medical Imaging 38(1): 167-179 (2019) - [i9]Vineet Edupuganti, Morteza Mardani, Joseph Y. Cheng, Shreyas Vasanawala, John M. Pauly:
VAE-GANs for Probabilistic Compressive Image Recovery: Uncertainty Analysis. CoRR abs/1901.11228 (2019) - [i8]Joseph Y. Cheng, Feiyu Chen, Christopher M. Sandino, Morteza Mardani, John M. Pauly, Shreyas S. Vasanawala:
Compressed Sensing: From Research to Clinical Practice with Data-Driven Learning. CoRR abs/1903.07824 (2019) - [i7]Mario O. Malavé, Corey A. Baron, Srivathsan P. Koundinyan, Christopher M. Sandino, Frank Ong, Joseph Y. Cheng, Dwight G. Nishimura:
Reconstruction of Undersampled 3D Non-Cartesian Image-Based Navigators for Coronary MRA Using an Unrolled Deep Learning Model. CoRR abs/1910.11414 (2019) - [i6]Christopher M. Sandino, Peng Lai, Shreyas S. Vasanawala, Joseph Y. Cheng:
Accelerating cardiac cine MRI beyond compressed sensing using DL-ESPIRiT. CoRR abs/1911.05845 (2019) - [i5]Jeffrey J. Ma, Ukash Nakarmi, Cedric Yue Sik Kin, Christopher M. Sandino, Joseph Y. Cheng, Ali B. Syed, Peter Wei, John M. Pauly, Shreyas Vasanawala:
Diagnostic Image Quality Assessment and Classification in Medical Imaging: Opportunities and Challenges. CoRR abs/1912.02907 (2019) - 2018
- [i4]Joseph Y. Cheng, Feiyu Chen, Marcus T. Alley, John M. Pauly, Shreyas S. Vasanawala:
Highly Scalable Image Reconstruction using Deep Neural Networks with Bandpass Filtering. CoRR abs/1805.03300 (2018) - [i3]David Y. Zeng, Jamil Shaikh, Dwight G. Nishimura, Shreyas S. Vasanawala, Joseph Y. Cheng:
Deep Residual Network for Off-Resonance Artifact Correction with Application to Pediatric Body Magnetic Resonance Angiography with 3D Cones. CoRR abs/1810.00072 (2018) - 2017
- [c1]Morteza Mardani, Enhao Gong, Joseph Y. Cheng, John M. Pauly, Lei Xing:
Recurrent generative adversarial neural networks for compressive imaging. CAMSAP 2017: 1-5 - [i2]Morteza Mardani, Enhao Gong, Joseph Y. Cheng, Shreyas Vasanawala, Greg Zaharchuk, Marcus T. Alley, Neil Thakur, Song Han, William J. Dally, John M. Pauly, Lei Xing:
Deep Generative Adversarial Networks for Compressed Sensing Automates MRI. CoRR abs/1706.00051 (2017) - [i1]Frank Ong, Joseph Y. Cheng, Michael Lustig:
General Phase Regularized Reconstruction using Phase Cycling. CoRR abs/1709.05374 (2017)
Coauthor Index
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