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ORCIDJohn M. Pauly
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- affiliation: Stanford University, USA
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2020 – today
- 2024
[j39]Liyue Shen
, John M. Pauly, Lei Xing:
NeRP: Implicit Neural Representation Learning With Prior Embedding for Sparsely Sampled Image Reconstruction. IEEE Trans. Neural Networks Learn. Syst. 35(1): 770-782 (2024)- [c21]Arda Sahiner, Tolga Ergen, Batu Ozturkler, John M. Pauly, Morteza Mardani, Mert Pilanci:
Scaling Convex Neural Networks with Burer-Monteiro Factorization. ICLR 2024 - 2023
- [j38]Frank Ong, Zheng Zhong, Congyu Liao, Michael Lustig, Shreyas S. Vasanawala, John M. Pauly:
SLfRank: Shinnar-Le-Roux Pulse Design With Reduced Energy and Accurate Phase Profiles Using Rank Factorization. IEEE Trans. Medical Imaging 42(5): 1522-1531 (2023) - [c20]Dave Van Veen, Cara Van Uden, Maayane Attias, Anuj Pareek, Christian Bluethgen, Malgorzata Polacin, Wah Chiu, Jean-Benoit Delbrouck, Juan Manuel Zambrano Chaves, Curtis P. Langlotz, Akshay Chaudhari, John M. Pauly:
RadAdapt: Radiology Report Summarization via Lightweight Domain Adaptation of Large Language Models. BioNLP@ACL 2023: 449-460 - [i29]Dave Van Veen, Cara Van Uden, Maayane Attias, Anuj Pareek, Christian Bluethgen, Malgorzata Polacin, Wah Chiu, Jean-Benoit Delbrouck, Juan Manuel Zambrano Chaves, Curtis P. Langlotz, Akshay S. Chaudhari, John M. Pauly:
RadAdapt: Radiology Report Summarization via Lightweight Domain Adaptation of Large Language Models. CoRR abs/2305.01146 (2023) - [i28]Dave Van Veen, Cara Van Uden, Louis Blankemeier, Jean-Benoit Delbrouck, Asad Aali, Christian Bluethgen, Anuj Pareek, Malgorzata Polacin, William Collins, Neera Ahuja, Curtis P. Langlotz, Jason Hom, Sergios Gatidis, John M. Pauly, Akshay S. Chaudhari:
Clinical Text Summarization: Adapting Large Language Models Can Outperform Human Experts. CoRR abs/2309.07430 (2023) - 2022
- [j37]Liyue Shen, Wei Zhao, Dante Capaldi, John M. Pauly, Lei Xing:
A geometry-informed deep learning framework for ultra-sparse 3D tomographic image reconstruction. Comput. Biol. Medicine 148: 105710 (2022) - [j36]Ke Lei, Ali B. Syed, Xucheng Zhu, John M. Pauly, Shreyas S. Vasanawala:
Artifact- and content-specific quality assessment for MRI with image rulers. Medical Image Anal. 77: 102344 (2022) - [j35]Liyue Shen, Lequan Yu, Wei Zhao, John M. Pauly, Lei Xing:
Novel-view X-ray projection synthesis through geometry-integrated deep learning. Medical Image Anal. 77: 102372 (2022) - [j34]Christopher Vassos, Fraser Robb, Shreyas Vasanawala, John M. Pauly, Greig C. Scott:
A Semi-Blind Calibration and Compensation Method for Dynamic Range Recovery of Low-Power Pre-Amplifiers in MRI Receive Chains. IEEE Trans. Medical Imaging 41(12): 3762-3773 (2022) - [c19]Elizabeth K. Cole, Qingxi Meng, John M. Pauly, Shreyas Vasanawala:
Learned Compression of High Dimensional Image Datasets. CVPR Workshops 2022: 1747-1751 - [c18]Tolga Ergen, Arda Sahiner, Batu Ozturkler, John M. Pauly, Morteza Mardani, Mert Pilanci:
Demystifying Batch Normalization in ReLU Networks: Equivalent Convex Optimization Models and Implicit Regularization. ICLR 2022 - [c17]Arda Sahiner, Tolga Ergen, Batu Ozturkler, Burak Bartan, John M. Pauly, Morteza Mardani, Mert Pilanci:
Hidden Convexity of Wasserstein GANs: Interpretable Generative Models with Closed-Form Solutions. ICLR 2022 - [c16]Arda Sahiner, Tolga Ergen, Batu Ozturkler, John M. Pauly, Morteza Mardani, Mert Pilanci:
Unraveling Attention via Convex Duality: Analysis and Interpretations of Vision Transformers. ICML 2022: 19050-19088 - [c15]Beliz Gunel, Arda Sahiner, Arjun D. Desai, Akshay S. Chaudhari, Shreyas Vasanawala, Mert Pilanci, John M. Pauly:
Scale-Equivariant Unrolled Neural Networks for Data-Efficient Accelerated MRI Reconstruction. MICCAI (6) 2022: 737-747 - [c14]Arjun D. Desai, Beliz Gunel, Batu M. Ozturkler, Harris Beg, Shreyas Vasanawala, Brian A. Hargreaves, Christopher Ré, John M. Pauly, Akshay S. Chaudhari:
VORTEX: Physics-Driven Data Augmentations Using Consistency Training for Robust Accelerated MRI Reconstruction. MIDL 2022: 325-352 - [i27]Beliz Gunel, Arda Sahiner, Arjun D. Desai, Akshay S. Chaudhari, Shreyas Vasanawala, Mert Pilanci, John M. Pauly:
Scale-Equivariant Unrolled Neural Networks for Data-Efficient Accelerated MRI Reconstruction. CoRR abs/2204.10436 (2022) - [i26]Arda Sahiner, Tolga Ergen, Batu Ozturkler, John M. Pauly, Morteza Mardani, Mert Pilanci:
Unraveling Attention via Convex Duality: Analysis and Interpretations of Vision Transformers. CoRR abs/2205.08078 (2022) - [i25]Batu Ozturkler, Arda Sahiner, Tolga Ergen, Arjun D. Desai, Christopher M. Sandino, Shreyas Vasanawala, John M. Pauly, Morteza Mardani, Mert Pilanci:
GLEAM: Greedy Learning for Large-Scale Accelerated MRI Reconstruction. CoRR abs/2207.08393 (2022) - [i24]Dave Van Veen, Rogier van der Sluijs, Batu Ozturkler, Arjun D. Desai, Christian Bluethgen, Robert D. Boutin, Marc H. Willis, Gordon Wetzstein, David B. Lindell, Shreyas Vasanawala, John M. Pauly, Akshay S. Chaudhari:
Scale-Agnostic Super-Resolution in MRI using Feature-Based Coordinate Networks. CoRR abs/2210.08676 (2022) - [i23]Ke Lei, Ali B. Syed, Xucheng Zhu, John M. Pauly, Shreyas S. Vasanawala:
Automated MRI Field of View Prescription from Region of Interest Prediction by Intra-stack Attention Neural Network. CoRR abs/2211.04703 (2022) - 2021
- [j33]Nicholas Dwork, Daniel O'Connor, Corey A. Baron, Ethan M. I. Johnson, Adam B. Kerr, John M. Pauly, Peder E. Z. Larson:
Utilizing the wavelet transform's structure in compressed sensing. Signal Image Video Process. 15(7): 1407-1414 (2021) - [j32]Ke Lei, Morteza Mardani, John M. Pauly, Shreyas S. Vasanawala:
Wasserstein GANs for MR Imaging: From Paired to Unpaired Training. IEEE Trans. Medical Imaging 40(1): 105-115 (2021) - [j31]Vineet Edupuganti, Morteza Mardani, Shreyas Vasanawala, John M. Pauly:
Uncertainty Quantification in Deep MRI Reconstruction. IEEE Trans. Medical Imaging 40(1): 239-250 (2021) - [j30]Liyue Shen, Wentao Zhu, Xiaosong Wang, Lei Xing, John M. Pauly, Baris Turkbey, Stephanie Anne Harmon, Thomas Hogue Sanford, Sherif Mehralivand, Peter L. Choyke, Bradford J. Wood, Daguang Xu:
Multi-Domain Image Completion for Random Missing Input Data. IEEE Trans. Medical Imaging 40(4): 1113-1122 (2021) - [c13]Elizabeth K. Cole, Frank Ong, Shreyas S. Vasanawala, John M. Pauly:
Fast Unsupervised MRI Reconstruction Without Fully-Sampled Ground Truth Data Using Generative Adversarial Networks. ICCVW 2021: 3971-3980 - [c12]Arda Sahiner, Tolga Ergen, John M. Pauly, Mert Pilanci:
Vector-output ReLU Neural Network Problems are Copositive Programs: Convex Analysis of Two Layer Networks and Polynomial-time Algorithms. ICLR 2021 - [c11]Arda Sahiner, Morteza Mardani, Batu Ozturkler, Mert Pilanci, John M. Pauly:
Convex Regularization behind Neural Reconstruction. ICLR 2021 - [i22]Tolga Ergen, Arda Sahiner, Batu Ozturkler, John M. Pauly, Morteza Mardani, Mert Pilanci:
Demystifying Batch Normalization in ReLU Networks: Equivalent Convex Optimization Models and Implicit Regularization. CoRR abs/2103.01499 (2021) - [i21]Liyue Shen, Wei Zhao, Dante Capaldi, John M. Pauly, Lei Xing:
A Geometry-Informed Deep Learning Framework for Ultra-Sparse 3D Tomographic Image Reconstruction. CoRR abs/2105.11692 (2021) - [i20]Arda Sahiner, Tolga Ergen, Batu Ozturkler, Burak Bartan, John M. Pauly, Morteza Mardani, Mert Pilanci:
Hidden Convexity of Wasserstein GANs: Interpretable Generative Models with Closed-Form Solutions. CoRR abs/2107.05680 (2021) - [i19]Liyue Shen, John M. Pauly, Lei Xing:
NeRP: Implicit Neural Representation Learning with Prior Embedding for Sparsely Sampled Image Reconstruction. CoRR abs/2108.10991 (2021) - [i18]Arjun D. Desai, Batu M. Ozturkler, Christopher M. Sandino, Shreyas Vasanawala, Brian A. Hargreaves, Christopher Ré, John M. Pauly, Akshay S. Chaudhari:
Noise2Recon: A Semi-Supervised Framework for Joint MRI Reconstruction and Denoising. CoRR abs/2110.00075 (2021) - [i17]Ke Lei, John M. Pauly, Shreyas S. Vasanawala:
Artifact- and content-specific quality assessment for MRI with image rulers. CoRR abs/2111.03780 (2021) - 2020
- [j29]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) - [j28]Guanhua Wang, Enhao Gong, Suchandrima Banerjee, Dann Martin, Elizabeth Tong, Jay Choi, Huijun Chen, Max Wintermark, John M. Pauly, Greg Zaharchuk:
Synthesize High-Quality Multi-Contrast Magnetic Resonance Imaging From Multi-Echo Acquisition Using Multi-Task Deep Generative Model. IEEE Trans. Medical Imaging 39(10): 3089-3099 (2020) - [c10]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 - [c9]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 - [c8]Enhao Gong, Jia Guo, Jiang Liu, Audrey P. Fan, John M. Pauly, Greg Zaharchuk:
Deep learning and multi-contrast-based denoising for low-SNR Arterial Spin Labeling (ASL) MRI. Medical Imaging: Image Processing 2020: 113130M - [c7]Junshen Xu, Enhao Gong, Jiahong Ouyang, John M. Pauly, Greg Zaharchuk:
Ultra-low-dose 18F-FDG brain PET/MR denoising using deep learning and multi-contrast information. Medical Imaging: Image Processing 2020: 113131P - [i16]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) - [i15]Liyue Shen, Wentao Zhu, Xiaosong Wang, Lei Xing, John M. Pauly, Baris Turkbey, Stephanie Anne Harmon, Thomas Hogue Sanford, Sherif Mehralivand, Peter L. Choyke, Bradford J. Wood, Daguang Xu:
Multi-Domain Image Completion for Random Missing Input Data. CoRR abs/2007.05534 (2020) - [i14]Elizabeth K. Cole, John M. Pauly, Shreyas S. Vasanawala, Frank Ong:
Unsupervised MRI Reconstruction with Generative Adversarial Networks. CoRR abs/2008.13065 (2020) - [i13]Arda Sahiner, Morteza Mardani, Batu Ozturkler, Mert Pilanci, John M. Pauly:
Convex Regularization Behind Neural Reconstruction. CoRR abs/2012.05169 (2020) - [i12]Arda Sahiner, Tolga Ergen, John M. Pauly, Mert Pilanci:
Vector-output ReLU Neural Network Problems are Copositive Programs: Convex Analysis of Two Layer Networks and Polynomial-time Algorithms. CoRR abs/2012.13329 (2020)
2010 – 2019
- 2019
- [j27]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) - [j26]Nicholas Dwork, Gennifer T. Smith, Theodore Leng, John M. Pauly, Audrey K. Bowden:
Automatically Determining the Confocal Parameters From OCT B-Scans for Quantification of the Attenuation Coefficients. IEEE Trans. Medical Imaging 38(1): 261-268 (2019) - [c6]Guanhua Wang, Enhao Gong, Suchandrima Banerjee, John M. Pauly, Greg Zaharchuk:
Accelerated MRI Reconstruction with Dual-Domain Generative Adversarial Network. MLMIR@MICCAI 2019: 47-57 - [c5]Jiahong Ouyang, Guanhua Wang, Enhao Gong, Kevin Chen, John M. Pauly, Greg Zaharchuk:
Task-GAN: Improving Generative Adversarial Network for Image Reconstruction. MLMIR@MICCAI 2019: 193-204 - [i11]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) - [i10]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) - [i9]Morteza Mardani, Qingyun Sun, Vardan Papyan, Shreyas Vasanawala, John M. Pauly, David L. Donoho:
Degrees of Freedom Analysis of Unrolled Neural Networks. CoRR abs/1906.03742 (2019) - [i8]Ke Lei, Morteza Mardani, John M. Pauly, Shreyas S. Vasawanala:
Wasserstein GANs for MR Imaging: from Paired to Unpaired Training. CoRR abs/1910.07048 (2019) - [i7]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
- [j25]Jaeyeon Yoon, Enhao Gong, Itthi Chatnuntawech, Berkin Bilgic, Jin-Gu Lee, Woojin Jung, Jingyu Ko, Hosan Jung, Kawin Setsompop, Greg Zaharchuk, Eung-Yeop Kim, John M. Pauly, Jongho Lee:
Quantitative susceptibility mapping using deep neural network: QSMnet. NeuroImage 179: 199-206 (2018) - [j24]Eric K. Gibbons, Patrick Le Roux, Shreyas S. Vasanawala, John M. Pauly, Adam B. Kerr:
Robust Self-Calibrating nCPMG Acquisition: Application to Body Diffusion-Weighted Imaging. IEEE Trans. Medical Imaging 37(1): 200-209 (2018) - [j23]Neerav Dixit, Pascal P. Stang, John M. Pauly, Greig C. Scott:
Thermo-Acoustic Ultrasound for Detection of RF-Induced Device Lead Heating in MRI. IEEE Trans. Medical Imaging 37(2): 536-546 (2018) - [c4]Morteza Mardani, Qingyun Sun, David L. Donoho, Vardan Papyan, Hatef Monajemi, Shreyas Vasanawala, John M. Pauly:
Neural Proximal Gradient Descent for Compressive Imaging. NeurIPS 2018: 9596-9606 - [i6]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) - [i5]Morteza Mardani, Qingyun Sun, Shreyas Vasawanala, Vardan Papyan, Hatef Monajemi, John M. Pauly, David L. Donoho:
Neural Proximal Gradient Descent for Compressive Imaging. CoRR abs/1806.03963 (2018) - [i4]Liyue Shen, Katie S. Shpanskaya, Edward H. Lee, Emily McKenna, Maryam Maleki, Quin Lu, Safwan Halabi, John M. Pauly, Kristen W. Yeom:
Deep Learning with Attention to Predict Gestational Age of the Fetal Brain. CoRR abs/1812.07102 (2018) - 2017
- [j22]Eric K. Gibbons, Patrick Le Roux, Shreyas S. Vasanawala, John M. Pauly, Adam B. Kerr:
Body Diffusion Weighted Imaging Using Non-CPMG Fast Spin Echo. IEEE Trans. Medical Imaging 36(2): 549-559 (2017) - [j21]Kamal Aggarwal, Kiran Raj Joshi, Yashar Rajavi, Mazhareddin Taghivand, John M. Pauly, Ada S. Y. Poon, Greig C. Scott:
A Millimeter-Wave Digital Link for Wireless MRI. IEEE Trans. Medical Imaging 36(2): 574-583 (2017) - [c3]Morteza Mardani, Enhao Gong, Joseph Y. Cheng, John M. Pauly, Lei Xing:
Recurrent generative adversarial neural networks for compressive imaging. CAMSAP 2017: 1-5 - [i3]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) - [i2]Morteza Mardani, Hatef Monajemi, Vardan Papyan, Shreyas Vasanawala, David L. Donoho, John M. Pauly:
Recurrent Generative Adversarial Networks for Proximal Learning and Automated Compressive Image Recovery. CoRR abs/1711.10046 (2017) - [i1]Junshen Xu, Enhao Gong, John M. Pauly, Greg Zaharchuk:
200x Low-dose PET Reconstruction using Deep Learning. CoRR abs/1712.04119 (2017) - 2016
- [j20]Kangrong Zhu, Robert F. Dougherty, Hua Wu, Matthew J. Middione, Atsushi M. Takahashi, Tao Zhang, John M. Pauly, Adam B. Kerr:
Hybrid-Space SENSE Reconstruction for Simultaneous Multi-Slice MRI. IEEE Trans. Medical Imaging 35(8): 1824-1836 (2016) - [j19]Jonathan Y. Lu, Thomas Grafendorfer, Tao Zhang, Shreyas Vasanawala, Fraser Robb, John M. Pauly, Greig C. Scott:
Depletion-Mode GaN HEMT Q-Spoil Switches for MRI Coils. IEEE Trans. Medical Imaging 35(12): 2558-2567 (2016) - 2015
- [j18]Gennifer T. Smith, Nicholas Dwork, Daniel O'Connor, Uzair Sikora, Kristen L. Lurie, John M. Pauly, Audrey K. Ellerbee:
Automated, Depth-Resolved Estimation of the Attenuation Coefficient From Optical Coherence Tomography Data. IEEE Trans. Medical Imaging 34(12): 2592-2602 (2015) - 2012
- [j17]Taek-Soo Kim, Jongho Lee, Jin Hyung Lee, Gary H. Glover, John M. Pauly:
Analysis of the BOLD characteristics in pass-band bSSFP fMRI. Int. J. Imaging Syst. Technol. 22(1): 23-32 (2012) - [j16]Peder E. Z. Larson, Adam B. Kerr, Galen Reed, Ralph E. Hurd, John Kurhanewicz, John M. Pauly, Daniel B. Vigneron:
Generating Super Stimulated-Echoes in MRI and Their Application to Hyperpolarized C-13 Diffusion Metabolic Imaging. IEEE Trans. Medical Imaging 31(2): 265-275 (2012) - [j15]Pascal P. Stang, Steven M. Conolly, Juan M. Santos, John M. Pauly, Greig C. Scott:
Medusa: A Scalable MR Console Using USB. IEEE Trans. Medical Imaging 31(2): 370-379 (2012) - [j14]Kim Shultz, Pascal P. Stang, Adam B. Kerr, John M. Pauly, Greig C. Scott:
RF Field Visualization of RF Ablation at the Larmor Frequency. IEEE Trans. Medical Imaging 31(4): 938-947 (2012) - 2011
- [j13]Nikola Stikov, Lee M. Perry, Aviv A. Mezer, Elena I. Rykhlevskaia, Brian A. Wandell, John M. Pauly, Robert F. Dougherty:
Bound pool fractions complement diffusion measures to describe white matter micro and macrostructure. NeuroImage 54(2): 1112-1121 (2011) - [j12]Marta G. Zanchi, Pascal P. Stang, Adam B. Kerr, John M. Pauly, Greig C. Scott:
Frequency-Offset Cartesian Feedback for MRI Power Amplifier Linearization. IEEE Trans. Medical Imaging 30(2): 512-522 (2011) - [c2]Shreyas Vasanawala, M. J. Murphy, Marcus T. Alley, P. Lai, Kurt Keutzer, John M. Pauly, Michael Lustig:
Practical parallel imaging compressed sensing MRI: Summary of two years of experience in accelerating body MRI of pediatric patients. ISBI 2011: 1039-1043 - 2010
- [j11]Marta G. Zanchi, Ross Venook, John M. Pauly, Greig C. Scott:
An Optically Coupled System for Quantitative Monitoring of MRI-Induced RF Currents Into Long Conductors. IEEE Trans. Medical Imaging 29(1): 169-178 (2010) - [j10]Tolga Çukur, Juan M. Santos, John M. Pauly, Dwight G. Nishimura:
Variable-Density Parallel Imaging With Partially Localized Coil Sensitivities. IEEE Trans. Medical Imaging 29(5): 1173-1181 (2010)
2000 – 2009
- 2009
- [j9]Uygar Sümbül, Juan M. Santos, John M. Pauly:
Improved Time Series Reconstruction for Dynamic Magnetic Resonance Imaging. IEEE Trans. Medical Imaging 28(7): 1093-1104 (2009) - [j8]Uygar Sümbül, Juan M. Santos, John M. Pauly:
A Practical Acceleration Algorithm for Real-Time Imaging. IEEE Trans. Medical Imaging 28(12): 2042-2051 (2009) - [c1]William Grissom, Kim Butts-Pauly, Michael Lustig, Viola Rieke, John M. Pauly, Nathan McDannold:
Regularized Referenceless Temperature Estimation in PRF-Shift MR Thermometry. ISBI 2009: 1235-1238 - 2008
- [j7]Michael Lustig, David L. Donoho, Juan M. Santos, John M. Pauly:
Compressed Sensing MRI. IEEE Signal Process. Mag. 25(2): 72-82 (2008) - [j6]Nathaniel I. Matter, Blaine Chronik, John M. Pauly, Albert Macovski, Steven M. Conolly, Greig C. Scott:
Noise Performance of a Precision Pulsed Electromagnet Power Supply for Magnetic Resonance Imaging. IEEE Trans. Medical Imaging 27(1): 75-86 (2008) - [j5]Michael Lustig, Seung-Jean Kim, John M. Pauly:
A Fast Method for Designing Time-Optimal Gradient Waveforms for Arbitrary k-Space Trajectories. IEEE Trans. Medical Imaging 27(6): 866-873 (2008) - 2007
- [j4]L. Vidarsson, Charles H. Cunningham, G. E. Gold, John M. Pauly:
T2-Selective Magnetization Preparation Pulses. IEEE Trans. Medical Imaging 26(7): 981-989 (2007) - 2005
- [j3]Philip J. Beatty, Dwight G. Nishimura, John M. Pauly:
Rapid gridding reconstruction with a minimal oversampling ratio. IEEE Trans. Medical Imaging 24(6): 799-808 (2005) - 2004
- [j2]R. Christopher DeCharms, Kalina Christoff, Gary H. Glover, John M. Pauly, Susan Whitfield, John D. E. Gabrieli:
Learned regulation of spatially localized brain activation using real-time fMRI. NeuroImage 21(1): 436-443 (2004) - 2000
- [j1]Todd S. Sachs, Craig H. Meyer, John M. Pauly, Bob S. Hu, Dwight G. Nishimura, Albert Macovski:
The Real-Time Interactive 3D-DVA for Robust Coronary MRA. IEEE Trans. Medical Imaging 19(2): 73-79 (2000)
Coauthor Index
Batu Ozturkler
aka: Batu M. Ozturkler
aka: Batu M. Ozturkler
S. S. Vasanawala
aka: Shreyas Vasanawala
aka: Shreyas S. Vasanawala
aka: Shreyas Vasawanala
aka: Shreyas S. Vasawanala
aka: Shreyas Vasanawala
aka: Shreyas S. Vasanawala
aka: Shreyas Vasawanala
aka: Shreyas S. Vasawanala
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