Joseph Y. Cheng

  • Stanford University, Department of Radiology, CA, USA

According to our database1, Joseph Y. Cheng authored at least 18 papers between 2017 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.



In proceedings 
PhD thesis 


Online presence:



Speech Emotion: Investigating Model Representations, Multi-Task Learning and Knowledge Distillation.
CoRR, 2022

Position Prediction as an Effective Pretraining Strategy.
Proceedings of the International Conference on Machine Learning, 2022

Compressed Sensing: From Research to Clinical Practice With Deep Neural Networks: Shortening Scan Times for Magnetic Resonance Imaging.
IEEE Signal Process. Mag., 2020

Spectral Decomposition in Deep Networks for Segmentation of Dynamic Medical Images.
CoRR, 2020

Subject-Aware Contrastive Learning for Biosignals.
CoRR, 2020

Complex-Valued Convolutional Neural Networks for MRI Reconstruction.
CoRR, 2020

Multi-scale Unrolled Deep Learning Framework for Accelerated Magnetic Resonance Imaging.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Diagnostic Image Quality Assessment and Classification in Medical Imaging: Opportunities and Challenges.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Deep Generative Adversarial Neural Networks for Compressive Sensing MRI.
IEEE Trans. Medical Imaging, 2019

Accelerating cardiac cine MRI beyond compressed sensing using DL-ESPIRiT.
CoRR, 2019

Reconstruction of Undersampled 3D Non-Cartesian Image-Based Navigators for Coronary MRA Using an Unrolled Deep Learning Model.
CoRR, 2019

Compressed Sensing: From Research to Clinical Practice with Data-Driven Learning.
CoRR, 2019

VAE-GANs for Probabilistic Compressive Image Recovery: Uncertainty Analysis.
CoRR, 2019

Deep Residual Network for Off-Resonance Artifact Correction with Application to Pediatric Body Magnetic Resonance Angiography with 3D Cones.
CoRR, 2018

Highly Scalable Image Reconstruction using Deep Neural Networks with Bandpass Filtering.
CoRR, 2018

General Phase Regularized Reconstruction using Phase Cycling.
CoRR, 2017

Deep Generative Adversarial Networks for Compressed Sensing Automates MRI.
CoRR, 2017

Recurrent generative adversarial neural networks for compressive imaging.
Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017