Daniel K. Sodickson

According to our database, Daniel K. Sodickson authored at least 22 papers between 2006 and 2023.

Collaborative distances:

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

2023

An experimental system for detection and localization of hemorrhage using ultra-wideband microwaves with deep learning.

Eisa Hedayati, Fatemeh Safari, George Verghese, Vito R. Ciancia, Daniel K. Sodickson, Seena Dehkharghani, Leeor Alon

CoRR, 2023

FastMRI Prostate: A Publicly Available, Biparametric MRI Dataset to Advance Machine Learning for Prostate Cancer Imaging.

Radhika Tibrewala, Tarun Dutt, Angela Tong, Luke Ginocchio, Mahesh B. Keerthivasan, Steven H. Baete, Sumit Chopra, Yvonne W. Lui, Daniel K. Sodickson, Hersh Chandarana, Patricia M. Johnson

CoRR, 2023

On the Feasibility of Machine Learning Augmented Magnetic Resonance for Point-of-Care Identification of Disease.

Raghav Singhal, Mukund Sudarshan, Anish Mahishi, Sri Kaushik, Luke Ginocchio, Angela Tong, Hersh Chandarana, Daniel K. Sodickson, Rajesh Ranganath, Sumit Chopra

CoRR, 2023

On Sensitivity and Robustness of Normalization Schemes to Input Distribution Shifts in Automatic MR Image Diagnosis.

Divyam Madaan, Daniel K. Sodickson, Kyunghyun Cho, Sumit Chopra

Proceedings of the Medical Imaging with Deep Learning, 2023

2021

Magnetic-Resonance-Based Electrical Property Mapping Using Global Maxwell Tomography With an 8-Channel Head Coil at 7 Tesla: A Simulation Study.

Ilias I. Giannakopoulos, José Enrique Cruz Serrallés, Luca Daniel, Daniel K. Sodickson, Athanasios G. Polimeridis, Jacob K. White, Riccardo Lattanzi

IEEE Trans. Biomed. Eng., 2021

2020

Noninvasive Estimation of Electrical Properties From Magnetic Resonance Measurements via Global Maxwell Tomography and Match Regularization.

José Enrique Cruz Serrallés, Riccardo Lattanzi, Ilias I. Giannakopoulos, Bei Zhang, Carlotta Ianniello, Martijn A. Cloos, Athanasios G. Polimeridis, Jacob K. White, Daniel K. Sodickson, Luca Daniel

IEEE Trans. Biomed. Eng., 2020

Deep-Learning Methods for Parallel Magnetic Resonance Imaging Reconstruction: A Survey of the Current Approaches, Trends, and Issues.

Florian Knoll, Kerstin Hammernik, Chi Zhang, Steen Moeller, Thomas Pock, Daniel K. Sodickson, Mehmet Akçakaya

IEEE Signal Process. Mag., 2020

Differences between human and machine perception in medical diagnosis.

Taro Makino, Stanislaw Jastrzebski, Witold Oleszkiewicz, Celin Chacko, Robin Ehrenpreis, Naziya Samreen, Chloe Chhor, Eric Kim, Jiyon Lee, Kristine Pysarenko, Beatriu Reig, Hildegard Toth, Divya Awal, Linda Du, Alice Kim, James Park, Daniel K. Sodickson, Laura Heacock, Linda Moy, Kyunghyun Cho, Krzysztof J. Geras

CoRR, 2020

Advancing machine learning for MR image reconstruction with an open competition: Overview of the 2019 fastMRI challenge.

Florian Knoll, Tullie Murrell, Anuroop Sriram, Nafissa Yakubova, Jure Zbontar, Michael G. Rabbat, Aaron Defazio, Matthew J. Muckley, Daniel K. Sodickson, C. Lawrence Zitnick, Michael P. Recht

CoRR, 2020

GrappaNet: Combining Parallel Imaging With Deep Learning for Multi-Coil MRI Reconstruction.

Anuroop Sriram, Jure Zbontar, Tullie Murrell, C. Lawrence Zitnick, Aaron Defazio, Daniel K. Sodickson

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Deep Learning Methods for Parallel Magnetic Resonance Image Reconstruction.

Florian Knoll, Kerstin Hammernik, Chi Zhang, Steen Moeller, Thomas Pock, Daniel K. Sodickson, Mehmet Akçakaya

CoRR, 2019

2018

fastMRI: An Open Dataset and Benchmarks for Accelerated MRI.

Jure Zbontar, Florian Knoll, Anuroop Sriram, Matthew J. Muckley, Mary Bruno, Aaron Defazio, Marc Parente, Krzysztof J. Geras, Joe Katsnelson, Hersh Chandarana, Zizhao Zhang, Michal Drozdzal, Adriana Romero, Michael G. Rabbat, Pascal Vincent, James Pinkerton, Duo Wang, Nafissa Yakubova, Erich Owens, C. Lawrence Zitnick, Michael P. Recht, Daniel K. Sodickson, Yvonne W. Lui

CoRR, 2018

Variational Deep Learning for Low-Dose Computed Tomography.

Erich Kobler, Matthew J. Muckley, Baiyu Chen, Florian Knoll, Kerstin Hammernik, Thomas Pock, Daniel K. Sodickson, Ricardo Otazo

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017

Joint MR-PET Reconstruction Using a Multi-Channel Image Regularizer.

Florian Knoll, Martin Holler, Thomas Kösters, Ricardo Otazo, Kristian Bredies, Daniel K. Sodickson

IEEE Trans. Medical Imaging, 2017

Learning a Variational Network for Reconstruction of Accelerated MRI Data.

Kerstin Hammernik, Teresa Klatzer, Erich Kobler, Michael P. Recht, Daniel K. Sodickson, Thomas Pock, Florian Knoll

CoRR, 2017

2015

The rapid imaging renaissance: sparser samples, denser dimensions, and glimmerings of a grand unified tomography.

Daniel K. Sodickson, Li Feng, Florian Knoll, Martijn A. Cloos, Noam Ben-Eliezer, Leon Axel, Hersh Chandarana, Tobias Block, Ricardo Otazo

Proceedings of the Medical Imaging 2015: Biomedical Applications in Molecular, 2015

Effect of an annular sleeve of high permittivity material on resonant modes and homogeneity of a birdcage coil.

Manushka V. Vaidya, Gang Chen, Bei Zhang, Christopher M. Collins, Daniel K. Sodickson, Riccardo Lattanzi

Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Rapid free-breathing dynamic contrast-enhanced MRI using motion-resolved compressed sensing.

Li Feng, Daniel K. Sodickson, Ricardo Otazo

Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

2012

Combination of compressed sensing and parallel imaging for highly-accelerated dynamic MRI.

Ricardo Otazo, Li Feng, Hersh Chandarana, Tobias Block, Leon Axel, Daniel K. Sodickson

Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

2010

On compressed sensing in parallel MRI of cardiac perfusion using temporal wavelet and TV regularization.

Cagdas Bilen, Ivan W. Selesnick, Yao Wang, Ricardo Otazo, Daniel Kim, Leon Axel, Daniel K. Sodickson

Proceedings of the IEEE International Conference on Acoustics, 2010

2009

Superresolution parallel magnetic resonance imaging: Application to functional and spectroscopic imaging.

Ricardo Otazo, Fa-Hsuan Lin, Graham C. Wiggins, Ramiro Jordan, Daniel K. Sodickson, Stefan Posse

NeuroImage, 2009

2006

Highly accelerated cardiovascular magnetic resonance imaging: concepts and clinical applications.

Thoralf Niendorf, Daniel K. Sodickson

Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006