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ORCIDPeder E. Z. Larson
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2020 – today
- 2024
[j12]Andrew P. Leynes
, Nikhil Deveshwar, Srikantan S. Nagarajan, Peder E. Z. Larson:
Scan-Specific Self-Supervised Bayesian Deep Non-Linear Inversion for Undersampled MRI Reconstruction. IEEE Trans. Medical Imaging 43(6): 2358-2369 (2024)- [j11]Abhejit Rajagopal, Antonio C. Westphalen, Nathan Velarde, Jeffry P. Simko, Hao Nguyen, Thomas A. Hope, Peder E. Z. Larson, Kirti Magudia:
Mixed Supervision of Histopathology Improves Prostate Cancer Classification From MRI. IEEE Trans. Medical Imaging 43(7): 2610-2622 (2024) - 2023
- [j10]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:
Hyperpolarized [2-13C]pyruvate MR molecular imaging with whole brain coverage. NeuroImage 280: 120350 (2023) - 2022
- [i5]Abhejit Rajagopal, Ekaterina Redekop, Anil Kemisetti, Rushi Kulkarni, Steven S. Raman, Kirti Magudia, Corey W. Arnold, Peder E. Z. Larson:
Federated Learning with Research Prototypes for Multi-Center MRI-based Detection of Prostate Cancer with Diverse Histopathology. CoRR abs/2206.05617 (2022) - [i4]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:
Synthetic PET via Domain Translation of 3D MRI. CoRR abs/2206.05618 (2022) - [i3]Abhejit Rajagopal, Andrew P. Leynes, Nicholas Dwork, Jessica E. Scholey, Thomas A. Hope, Peder E. Z. Larson:
Physics-driven Deep Learning for PET/MRI. CoRR abs/2206.06788 (2022) - [i2]Abhejit Rajagopal, Antonio C. Westphalen, Nathan Velarde, Tim Ullrich, Jeffry P. Simko, Hao Nguyen, Thomas A. Hope, Peder E. Z. Larson, Kirti Magudia:
Mixed Supervision of Histopathology Improves Prostate Cancer Classification from MRI. CoRR abs/2212.06336 (2022) - 2021
- [j9]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) - [c4]Abhejit Rajagopal, Vamshi Chowdary Madala, Thomas A. Hope, Peder E. Z. Larson:
Understanding and Visualizing Generalization in UNets. MIDL 2021: 665-681 - 2020
- [j8]Caroline Guglielmetti, Tanguy Boucneau, Peng Cao, Annemarie van der Linden, Peder E. Z. Larson, Myriam M. Chaumeil:
Longitudinal evaluation of demyelinated lesions in a multiple sclerosis model using ultrashort echo time magnetization transfer (UTE-MT) imaging. NeuroImage 208: 116415 (2020) - [j7]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:
Kinetic Modeling of Hyperpolarized Carbon-13 Pyruvate Metabolism in the Human Brain. IEEE Trans. Medical Imaging 39(2): 320-327 (2020) - [c3]Francesco Calivá, Andrew P. Leynes, Rutwik Shah, Upasana Upadhyay Bharadwaj, Sharmila Majumdar, Peder E. Z. Larson, Valentina Pedoia:
Breaking Speed Limits with Simultaneous Ultra-Fast MRI Reconstruction and Tissue Segmentation. MIDL 2020: 94-110 - [i1]Abhejit Rajagopal, Vamshi C. Madala, Shivkumar Chandrasekaran, Peder E. Z. Larson:
Predicting Generalization in Deep Learning via Local Measures of Distortion. CoRR abs/2012.06969 (2020)
2010 – 2019
- 2018
- [j6]Hongjiang Wei, Peng Cao, Antje Bischof, Roland G. Henry, Peder E. Z. Larson, Chunlei Liu:
MRI gradient-echo phase contrast of the brain at ultra-short TE with off-resonance saturation. NeuroImage 175: 1-11 (2018) - [j5]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:
Spatio-Temporally Constrained Reconstruction for Hyperpolarized Carbon-13 MRI Using Kinetic Models. IEEE Trans. Medical Imaging 37(12): 2603-2612 (2018) - [c2]Andrew P. Leynes, Peder E. Z. Larson:
Synthetic CT Generation Using MRI with Deep Learning: How Does the Selection of Input Images Affect the Resulting Synthetic CT? ICASSP 2018: 6692-6696 - 2016
- [j4]John N. Maidens, Jeremy W. Gordon, Murat Arcak, Peder E. Z. Larson:
Optimizing Flip Angles for Metabolic Rate Estimation in Hyperpolarized Carbon-13 MRI. IEEE Trans. Medical Imaging 35(11): 2403-2412 (2016) - 2015
- [c1]John N. Maidens, Peder E. Z. Larson, Murat Arcak:
Optimal experiment design for physiological parameter estimation using hyperpolarized carbon-13 magnetic resonance imaging. ACC 2015: 5770-5775 - 2014
- [j3]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:
High Resolution $^{13}$C MRI With Hyperpolarized Urea: In Vivo $T_{2}$ Mapping and $^{15}$N Labeling Effects. IEEE Trans. Medical Imaging 33(2): 362-371 (2014) - 2012
- [j2]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)
2000 – 2009
- 2008
- [j1]Peder E. Z. Larson, Paul T. Gurney, Dwight G. Nishimura:
Anisotropic Field-of-Views in Radial Imaging. IEEE Trans. Medical Imaging 27(1): 47-57 (2008)
Coauthor Index
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