Daniel K. Sodickson

30 papers A* 1Misc 2Journal 20Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Trust-Guided Approach to MR Image Reconstruction With Side Information. IEEE Trans. Medical Imaging Arda Atalik, Sumit Chopra, Daniel K. Sodickson
2025	J	`jnl`	A Trust-Guided Approach to MR Image Reconstruction with Side Information. CoRR Arda Atalik, Sumit Chopra, Daniel K. Sodickson
2025	J	`jnl`	Context-aware deep learning using individualized prior information reduces false positives in disease risk prediction and longitudinal health assessment. CoRR Lavanya Umapathy, Patricia M. Johnson, Tarun Dutt, Angela Tong, Madhur Nayan, Hersh Chandarana, Daniel K. Sodickson
2025	—	`conf`	Harnessing Side Information for Highly Accelerated MRI. MICCAI (13) Arda Atalik, Sumit Chopra, Daniel K. Sodickson
2025	J	`jnl`	Multimodal generative AI for interpreting 3D medical images and videos. npj Digit. Medicine Jung-Oh Lee, Hong-Yu Zhou, Tyler M. Berzin, Daniel K. Sodickson, Pranav Rajpurkar
2024	J	`jnl`	Preliminary Experience with Three Alternative Motion Sensors for 0.55 Tesla MR Imaging. Sensors Radhika Tibrewala, Douglas Brantner, Ryan Brown, Leanna Pancoast, Mahesh Bharath Keerthivasan, Mary Bruno, Kai Tobias Block, Bruno Madore, Daniel K. Sodickson, Christopher M. Collins
2023	J	`jnl`	An experimental system for detection and localization of hemorrhage using ultra-wideband microwaves with deep learning. CoRR Eisa Hedayati, Fatemeh Safari, George Verghese, Vito R. Ciancia, Daniel K. Sodickson, Seena Dehkharghani, Leeor Alon
2023	J	`jnl`	FastMRI Prostate: A Publicly Available, Biparametric MRI Dataset to Advance Machine Learning for Prostate Cancer Imaging. CoRR Radhika Tibrewala, Tarun Dutt, Angela Tong, Luke Ginocchio, Mahesh Bharath Keerthivasan, Steven H. Baete, Sumit Chopra, Yvonne W. Lui, Daniel K. Sodickson, Hersh Chandarana, Patricia M. Johnson
2023	—	`conf`	On Sensitivity and Robustness of Normalization Schemes to Input Distribution Shifts in Automatic MR Image Diagnosis. MIDL Divyam Madaan, Daniel K. Sodickson, Kyunghyun Cho, Sumit Chopra
2023	J	`jnl`	On Sensitivity and Robustness of Normalization Schemes to Input Distribution Shifts in Automatic MR Image Diagnosis. CoRR Divyam Madaan, Daniel K. Sodickson, Kyunghyun Cho, Sumit Chopra
2023	J	`jnl`	On the Feasibility of Machine Learning Augmented Magnetic Resonance for Point-of-Care Identification of Disease. CoRR Raghav Singhal, Mukund Sudarshan, Anish Mahishi, Sri Kaushik, Luke Ginocchio, Angela Tong, Hersh Chandarana, Daniel K. Sodickson, Rajesh Ranganath, Sumit Chopra
2021	J	`jnl`	Magnetic-Resonance-Based Electrical Property Mapping Using Global Maxwell Tomography With an 8-Channel Head Coil at 7 Tesla: A Simulation Study. IEEE Trans. Biomed. Eng. Ilias I. Giannakopoulos, José Enrique Cruz Serrallés, Luca Daniel, Daniel K. Sodickson, Athanasios G. Polimeridis, Jacob K. White, Riccardo Lattanzi
2020	J	`jnl`	Advancing machine learning for MR image reconstruction with an open competition: Overview of the 2019 fastMRI challenge. CoRR 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
2020	J	`jnl`	Deep-Learning Methods for Parallel Magnetic Resonance Imaging Reconstruction: A Survey of the Current Approaches, Trends, and Issues. IEEE Signal Process. Mag. Florian Knoll, Kerstin Hammernik, Chi Zhang, Steen Moeller, Thomas Pock, Daniel K. Sodickson, Mehmet Akçakaya
2020	J	`jnl`	Differences between human and machine perception in medical diagnosis. CoRR 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
2020	A*	`conf`	GrappaNet: Combining Parallel Imaging With Deep Learning for Multi-Coil MRI Reconstruction. CVPR Anuroop Sriram, Jure Zbontar, Tullie Murrell, C. Lawrence Zitnick, Aaron Defazio, Daniel K. Sodickson
2020	J	`jnl`	Noninvasive Estimation of Electrical Properties From Magnetic Resonance Measurements via Global Maxwell Tomography and Match Regularization. IEEE Trans. Biomed. Eng. 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
2019	J	`jnl`	Deep Learning Methods for Parallel Magnetic Resonance Image Reconstruction. CoRR Florian Knoll, Kerstin Hammernik, Chi Zhang, Steen Moeller, Thomas Pock, Daniel K. Sodickson, Mehmet Akçakaya
2019	J	`jnl`	GrappaNet: Combining Parallel Imaging with Deep Learning for Multi-Coil MRI Reconstruction. CoRR Anuroop Sriram, Jure Zbontar, Tullie Murrell, C. Lawrence Zitnick, Aaron Defazio, Daniel K. Sodickson
2018	Misc	`conf`	Variational Deep Learning for Low-Dose Computed Tomography. ICASSP Erich Kobler, Matthew J. Muckley, Baiyu Chen, Florian Knoll, Kerstin Hammernik, Thomas Pock, Daniel K. Sodickson, Ricardo Otazo
2018	J	`jnl`	fastMRI: An Open Dataset and Benchmarks for Accelerated MRI. CoRR 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
2017	J	`jnl`	Joint MR-PET Reconstruction Using a Multi-Channel Image Regularizer. IEEE Trans. Medical Imaging Florian Knoll, Martin Holler, Thomas Kösters, Ricardo Otazo, Kristian Bredies, Daniel K. Sodickson
2017	J	`jnl`	Learning a Variational Network for Reconstruction of Accelerated MRI Data. CoRR Kerstin Hammernik, Teresa Klatzer, Erich Kobler, Michael P. Recht, Daniel K. Sodickson, Thomas Pock, Florian Knoll
2015	—	`conf`	Effect of an annular sleeve of high permittivity material on resonant modes and homogeneity of a birdcage coil. ISBI Manushka V. Vaidya, Gang Chen, Bei Zhang, Christopher M. Collins, Daniel K. Sodickson, Riccardo Lattanzi
2015	—	`conf`	Rapid free-breathing dynamic contrast-enhanced MRI using motion-resolved compressed sensing. ISBI Li Feng, Daniel K. Sodickson, Ricardo Otazo
2015	—	`conf`	The rapid imaging renaissance: sparser samples, denser dimensions, and glimmerings of a grand unified tomography. Biomedical Applications in Molecular, Structural, and Functional Imaging Daniel K. Sodickson, Li Feng, Florian Knoll, Martijn A. Cloos, Noam Ben-Eliezer, Leon Axel, Hersh Chandarana, Tobias Block, Ricardo Otazo
2012	—	`conf`	Combination of compressed sensing and parallel imaging for highly-accelerated dynamic MRI. ISBI Ricardo Otazo, Li Feng, Hersh Chandarana, Tobias Block, Leon Axel, Daniel K. Sodickson
2010	Misc	`conf`	On compressed sensing in parallel MRI of cardiac perfusion using temporal wavelet and TV regularization. ICASSP Cagdas Bilen, Ivan W. Selesnick, Yao Wang, Ricardo Otazo, Daniel Kim, Leon Axel, Daniel K. Sodickson
2009	J	`jnl`	Superresolution parallel magnetic resonance imaging: Application to functional and spectroscopic imaging. NeuroImage Ricardo Otazo, Fa-Hsuan Lin, Graham C. Wiggins, Ramiro Jordan, Daniel K. Sodickson, Stefan Posse
2006	—	`conf`	Highly accelerated cardiovascular magnetic resonance imaging: concepts and clinical applications. EMBC Thoralf Niendorf, Daniel K. Sodickson