John M. Pauly

Orcid: 0000-0001-5918-4172

Affiliations:
  • Stanford University, USA


According to our database1, John M. Pauly authored at least 76 papers between 2000 and 2024.

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

Timeline

Legend:

Book 
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Article 
PhD thesis 
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Online presence:

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Bibliography

2024
NeRP: Implicit Neural Representation Learning With Prior Embedding for Sparsely Sampled Image Reconstruction.
IEEE Trans. Neural Networks Learn. Syst., January, 2024

Scaling Convex Neural Networks with Burer-Monteiro Factorization.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
SLfRank: Shinnar-Le-Roux Pulse Design With Reduced Energy and Accurate Phase Profiles Using Rank Factorization.
IEEE Trans. Medical Imaging, May, 2023

Clinical Text Summarization: Adapting Large Language Models Can Outperform Human Experts.
CoRR, 2023

RadAdapt: Radiology Report Summarization via Lightweight Domain Adaptation of Large Language Models.
Proceedings of the 22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks, 2023

2022
A Semi-Blind Calibration and Compensation Method for Dynamic Range Recovery of Low-Power Pre-Amplifiers in MRI Receive Chains.
IEEE Trans. Medical Imaging, 2022

Novel-view X-ray projection synthesis through geometry-integrated deep learning.
Medical Image Anal., 2022

Artifact- and content-specific quality assessment for MRI with image rulers.
Medical Image Anal., 2022

Automated MRI Field of View Prescription from Region of Interest Prediction by Intra-stack Attention Neural Network.
CoRR, 2022

Scale-Agnostic Super-Resolution in MRI using Feature-Based Coordinate Networks.
CoRR, 2022

GLEAM: Greedy Learning for Large-Scale Accelerated MRI Reconstruction.
CoRR, 2022

A geometry-informed deep learning framework for ultra-sparse 3D tomographic image reconstruction.
Comput. Biol. Medicine, 2022

VORTEX: Physics-Driven Data Augmentations Using Consistency Training for Robust Accelerated MRI Reconstruction.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

Scale-Equivariant Unrolled Neural Networks for Data-Efficient Accelerated MRI Reconstruction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Unraveling Attention via Convex Duality: Analysis and Interpretations of Vision Transformers.
Proceedings of the International Conference on Machine Learning, 2022

Hidden Convexity of Wasserstein GANs: Interpretable Generative Models with Closed-Form Solutions.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Demystifying Batch Normalization in ReLU Networks: Equivalent Convex Optimization Models and Implicit Regularization.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Learned Compression of High Dimensional Image Datasets.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021
Multi-Domain Image Completion for Random Missing Input Data.
IEEE Trans. Medical Imaging, 2021

Wasserstein GANs for MR Imaging: From Paired to Unpaired Training.
IEEE Trans. Medical Imaging, 2021

Uncertainty Quantification in Deep MRI Reconstruction.
IEEE Trans. Medical Imaging, 2021

Utilizing the wavelet transform's structure in compressed sensing.
Signal Image Video Process., 2021

Artifact- and content-specific quality assessment for MRI with image rulers.
CoRR, 2021

Noise2Recon: A Semi-Supervised Framework for Joint MRI Reconstruction and Denoising.
CoRR, 2021

Convex Regularization behind Neural Reconstruction.
Proceedings of the 9th International Conference on Learning Representations, 2021

Vector-output ReLU Neural Network Problems are Copositive Programs: Convex Analysis of Two Layer Networks and Polynomial-time Algorithms.
Proceedings of the 9th International Conference on Learning Representations, 2021

Fast Unsupervised MRI Reconstruction Without Fully-Sampled Ground Truth Data Using Generative Adversarial Networks.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

2020
Synthesize High-Quality Multi-Contrast Magnetic Resonance Imaging From Multi-Echo Acquisition Using Multi-Task Deep Generative Model.
IEEE Trans. Medical Imaging, 2020

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

Unsupervised MRI Reconstruction with Generative Adversarial Networks.
CoRR, 2020

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

Ultra-low-dose 18F-FDG brain PET/MR denoising using deep learning and multi-contrast information.
Proceedings of the Medical Imaging 2020: Image Processing, 2020

Deep learning and multi-contrast-based denoising for low-SNR Arterial Spin Labeling (ASL) MRI.
Proceedings of the Medical Imaging 2020: Image Processing, 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

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

Automatically Determining the Confocal Parameters From OCT B-Scans for Quantification of the Attenuation Coefficients.
IEEE Trans. Medical Imaging, 2019

Degrees of Freedom Analysis of Unrolled Neural Networks.
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

Accelerated MRI Reconstruction with Dual-Domain Generative Adversarial Network.
Proceedings of the Machine Learning for Medical Image Reconstruction, 2019

Task-GAN: Improving Generative Adversarial Network for Image Reconstruction.
Proceedings of the Machine Learning for Medical Image Reconstruction, 2019

2018
Robust Self-Calibrating nCPMG Acquisition: Application to Body Diffusion-Weighted Imaging.
IEEE Trans. Medical Imaging, 2018

Thermo-Acoustic Ultrasound for Detection of RF-Induced Device Lead Heating in MRI.
IEEE Trans. Medical Imaging, 2018

Quantitative susceptibility mapping using deep neural network: QSMnet.
NeuroImage, 2018

Deep Learning with Attention to Predict Gestational Age of the Fetal Brain.
CoRR, 2018

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

Neural Proximal Gradient Descent for Compressive Imaging.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017
Body Diffusion Weighted Imaging Using Non-CPMG Fast Spin Echo.
IEEE Trans. Medical Imaging, 2017

A Millimeter-Wave Digital Link for Wireless MRI.
IEEE Trans. Medical Imaging, 2017

200x Low-dose PET Reconstruction using Deep Learning.
CoRR, 2017

Recurrent Generative Adversarial Networks for Proximal Learning and Automated Compressive Image Recovery.
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

2016
Hybrid-Space SENSE Reconstruction for Simultaneous Multi-Slice MRI.
IEEE Trans. Medical Imaging, 2016

Depletion-Mode GaN HEMT Q-Spoil Switches for MRI Coils.
IEEE Trans. Medical Imaging, 2016

2015
Automated, Depth-Resolved Estimation of the Attenuation Coefficient From Optical Coherence Tomography Data.
IEEE Trans. Medical Imaging, 2015

2012
Medusa: A Scalable MR Console Using USB.
IEEE Trans. Medical Imaging, 2012

RF Field Visualization of RF Ablation at the Larmor Frequency.
IEEE Trans. Medical Imaging, 2012

Generating Super Stimulated-Echoes in MRI and Their Application to Hyperpolarized C-13 Diffusion Metabolic Imaging.
IEEE Trans. Medical Imaging, 2012

Analysis of the BOLD characteristics in pass-band bSSFP fMRI.
Int. J. Imaging Syst. Technol., 2012

2011
Frequency-Offset Cartesian Feedback for MRI Power Amplifier Linearization.
IEEE Trans. Medical Imaging, 2011

Bound pool fractions complement diffusion measures to describe white matter micro and macrostructure.
NeuroImage, 2011

Practical parallel imaging compressed sensing MRI: Summary of two years of experience in accelerating body MRI of pediatric patients.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

2010
An Optically Coupled System for Quantitative Monitoring of MRI-Induced RF Currents Into Long Conductors.
IEEE Trans. Medical Imaging, 2010

Variable-Density Parallel Imaging With Partially Localized Coil Sensitivities.
IEEE Trans. Medical Imaging, 2010

2009
A Practical Acceleration Algorithm for Real-Time Imaging.
IEEE Trans. Medical Imaging, 2009

Improved Time Series Reconstruction for Dynamic Magnetic Resonance Imaging.
IEEE Trans. Medical Imaging, 2009

Regularized Referenceless Temperature Estimation in PRF-Shift MR Thermometry.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

2008
Noise Performance of a Precision Pulsed Electromagnet Power Supply for Magnetic Resonance Imaging.
IEEE Trans. Medical Imaging, 2008

A Fast Method for Designing Time-Optimal Gradient Waveforms for Arbitrary k-Space Trajectories.
IEEE Trans. Medical Imaging, 2008

Compressed Sensing MRI.
IEEE Signal Process. Mag., 2008

2007
T<sub>2</sub>-Selective Magnetization Preparation Pulses.
IEEE Trans. Medical Imaging, 2007

2005
Rapid gridding reconstruction with a minimal oversampling ratio.
IEEE Trans. Medical Imaging, 2005

2004
Learned regulation of spatially localized brain activation using real-time fMRI.
NeuroImage, 2004

2000
The Real-Time Interactive 3D-DVA for Robust Coronary MRA.
IEEE Trans. Medical Imaging, 2000


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