John M. Pauly
Orcid: 0000-0001-5918-4172Affiliations:
- Stanford University, USA
According to our database1,
John M. Pauly
authored at least 75 papers
between 2000 and 2024.
Collaborative distances:
Collaborative distances:
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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
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
Medical Image Anal., 2022
Medical Image Anal., 2022
Automated MRI Field of View Prescription from Region of Interest Prediction by Intra-stack Attention Neural Network.
CoRR, 2022
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
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022
2021
IEEE Trans. Medical Imaging, 2021
IEEE Trans. Medical Imaging, 2021
IEEE Trans. Medical Imaging, 2021
Signal Image Video Process., 2021
CoRR, 2021
CoRR, 2021
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
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
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
CoRR, 2019
CoRR, 2019
Proceedings of the Machine Learning for Medical Image Reconstruction, 2019
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
IEEE Trans. Medical Imaging, 2018
NeuroImage, 2018
CoRR, 2018
Highly Scalable Image Reconstruction using Deep Neural Networks with Bandpass Filtering.
CoRR, 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
2017
IEEE Trans. Medical Imaging, 2017
Recurrent Generative Adversarial Networks for Proximal Learning and Automated Compressive Image Recovery.
CoRR, 2017
CoRR, 2017
Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017
2016
IEEE Trans. Medical Imaging, 2016
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
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
Int. J. Imaging Syst. Technol., 2012
2011
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
IEEE Trans. Medical Imaging, 2010
2009
IEEE Trans. Medical Imaging, 2009
IEEE Trans. Medical Imaging, 2009
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
2007
IEEE Trans. Medical Imaging, 2007
2005
IEEE Trans. Medical Imaging, 2005
2004
NeuroImage, 2004
2000
IEEE Trans. Medical Imaging, 2000