Peder E. Z. Larson

According to our database, Peder E. Z. Larson authored at least 21 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Mixed Supervision of Histopathology Improves Prostate Cancer Classification From MRI.

Abhejit Rajagopal, Antonio C. Westphalen, Nathan Velarde, Jeffry P. Simko, Hao Nguyen, Thomas A. Hope, Peder E. Z. Larson, Kirti Magudia

IEEE Trans. Medical Imaging, July, 2024

Scan-Specific Self-Supervised Bayesian Deep Non-Linear Inversion for Undersampled MRI Reconstruction.

Andrew P. Leynes, Nikhil Deveshwar, Srikantan S. Nagarajan, Peder E. Z. Larson

IEEE Trans. Medical Imaging, June, 2024

2023

Hyperpolarized [2-¹³C]pyruvate MR molecular imaging with whole brain coverage.

Brian T. Chung, Yaewon Kim, Jeremy W. Gordon, Hsin-Yu Chen, Adam Autry, Philip M. Lee, Jasmine Y. Hu, Chou T. Tan, Chris Suszczynski, Susan M. Chang, Javier E. Villanueva-Meyer, Robert Bok, Peder E. Z. Larson, Duan Xu, Yan Li, Daniel B. Vigneron

NeuroImage, October, 2023

2022

Mixed Supervision of Histopathology Improves Prostate Cancer Classification from MRI.

Abhejit Rajagopal, Antonio C. Westphalen, Nathan Velarde, Tim Ullrich, Jeffry P. Simko, Hao Nguyen, Thomas A. Hope, Peder E. Z. Larson, Kirti Magudia

CoRR, 2022

Physics-driven Deep Learning for PET/MRI.

Abhejit Rajagopal, Andrew P. Leynes, Nicholas Dwork, Jessica E. Scholey, Thomas A. Hope, Peder E. Z. Larson

CoRR, 2022

Synthetic PET via Domain Translation of 3D MRI.

Abhejit Rajagopal, Yutaka Natsuaki, Kristen A. Wangerin, Mahdjoub Hamdi, Hongyu An, John J. Sunderland, Richard Laforest, Paul E. Kinahan, Peder E. Z. Larson, Thomas A. Hope

CoRR, 2022

Federated Learning with Research Prototypes for Multi-Center MRI-based Detection of Prostate Cancer with Diverse Histopathology.

Abhejit Rajagopal, Ekaterina Redekop, Anil Kemisetti, Rushi Kulkarni, Steven S. Raman, Kirti Magudia, Corey W. Arnold, Peder E. Z. Larson

CoRR, 2022

2021

Utilizing the wavelet transform's structure in compressed sensing.

Nicholas Dwork, Daniel O'Connor, Corey A. Baron, Ethan M. I. Johnson, Adam B. Kerr, John M. Pauly, Peder E. Z. Larson

Signal Image Video Process., 2021

Understanding and Visualizing Generalization in UNets.

Abhejit Rajagopal, Vamshi Chowdary Madala, Thomas A. Hope, Peder E. Z. Larson

Proceedings of the Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany., 2021

2020

Kinetic Modeling of Hyperpolarized Carbon-13 Pyruvate Metabolism in the Human Brain.

Daniele Mammoli, Lucas Carvajal, James B. Slater, Robert Bok, Jason C. Crane, Duan Xu, Susan M. Chang, Daniel B. Vigneron, Jeremy W. Gordon, Adam Autry, Peder E. Z. Larson, Yan Li, Hsin-Yu Chen, Brian T. Chung, Peter Shin, Mark Van Criekinge

IEEE Trans. Medical Imaging, 2020

Longitudinal evaluation of demyelinated lesions in a multiple sclerosis model using ultrashort echo time magnetization transfer (UTE-MT) imaging.

Caroline Guglielmetti, Tanguy Boucneau, Peng Cao, Annemarie van der Linden, Peder E. Z. Larson, Myriam M. Chaumeil

NeuroImage, 2020

Predicting Generalization in Deep Learning via Local Measures of Distortion.

Abhejit Rajagopal, Vamshi C. Madala, Shivkumar Chandrasekaran, Peder E. Z. Larson

CoRR, 2020

Breaking Speed Limits with Simultaneous Ultra-Fast MRI Reconstruction and Tissue Segmentation.

Francesco Calivá, Andrew P. Leynes, Rutwik Shah, Upasana Upadhyay Bharadwaj, Sharmila Majumdar, Peder E. Z. Larson, Valentina Pedoia

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020

2018

Spatio-Temporally Constrained Reconstruction for Hyperpolarized Carbon-13 MRI Using Kinetic Models.

John Maidens, Jeremy W. Gordon, Hsin-Yu Chen, Ilwoo Park, Mark Van Criekinge, Eugene Milshteyn, Robert Bok, Rahul Aggarwal, Marcus Ferrone, James B. Slater, John Kurhanewicz, Daniel B. Vigneron, Murat Arcak, Peder E. Z. Larson

IEEE Trans. Medical Imaging, 2018

MRI gradient-echo phase contrast of the brain at ultra-short TE with off-resonance saturation.

Hongjiang Wei, Peng Cao, Antje Bischof, Roland G. Henry, Peder E. Z. Larson, Chunlei Liu

NeuroImage, 2018

Synthetic CT Generation Using MRI with Deep Learning: How Does the Selection of Input Images Affect the Resulting Synthetic CT?

Andrew P. Leynes, Peder E. Z. Larson

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2016

Optimizing Flip Angles for Metabolic Rate Estimation in Hyperpolarized Carbon-13 MRI.

John N. Maidens, Jeremy W. Gordon, Murat Arcak, Peder E. Z. Larson

IEEE Trans. Medical Imaging, 2016

2015

Optimal experiment design for physiological parameter estimation using hyperpolarized carbon-13 magnetic resonance imaging.

John N. Maidens, Peder E. Z. Larson, Murat Arcak

Proceedings of the American Control Conference, 2015

2014

High Resolution $^{13}$C MRI With Hyperpolarized Urea: In Vivo $T_{2}$ Mapping and $^{15}$N Labeling Effects.

Galen D. Reed, Cornelius von Morze, Robert Bok, Bertram L. Koelsch, Mark Van Criekinge, Kenneth J. Smith, Hong Shang, Peder E. Z. Larson, John Kurhanewicz, Daniel B. Vigneron

IEEE Trans. Medical Imaging, 2014

2012

Generating Super Stimulated-Echoes in MRI and Their Application to Hyperpolarized C-13 Diffusion Metabolic Imaging.

Peder E. Z. Larson, Adam B. Kerr, Galen Reed, Ralph E. Hurd, John Kurhanewicz, John M. Pauly, Daniel B. Vigneron

IEEE Trans. Medical Imaging, 2012

2008

Anisotropic Field-of-Views in Radial Imaging.

Peder E. Z. Larson, Paul T. Gurney, Dwight G. Nishimura

IEEE Trans. Medical Imaging, 2008