Publications by authors named "Daniel Sodickson"

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First-Order Spatial Encoding Simulations for Improved Accuracy in the Presence of Strong B and Gradient Field Variations.
Radhika Tibrewala, Christopher M Collins, Michael Mallett, Axel Vom Endt, Daniel K Sodickson

Magn Reson Med· March 2026

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Artificial Intelligence in Prostate MRI: Addressing Current Limitations Through Emerging Technologies.
Patricia M Johnson, Lavanya Umapathy, Bradley Gigax, Juan Kochen Rossi, Angela Tong, Daniel K Sodickson

J Magn Reson Imaging· December 2025

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Overcoming MRI accessibility barriers in cancer imaging with cutting-edge solutions.
Hersh Chandarana, Daniel K Sodickson

Cancer Imaging· November 2025

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T1 Relaxation-Enhanced Steady-State Acquisition With Radial k-Space Sampling: A Novel Family of Pulse Sequences for Motion-Robust Volumetric T1-Weighted MRI With Improved Lesion Conspicuity.
Ruoxun Zi, Robert R Edelman, Christoph Maier, Mahesh Keerthivasan, Riccardo Lattanzi, Daniel K Sodickson

Invest Radiol· October 2025

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Multisession Longitudinal Dynamic MRI Incorporating Patient-Specific Prior Image Information Across Time.
Jingjia Chen, Hersh Chandarana, Daniel K Sodickson, Li Feng

ArXiv· October 2025

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Prostate Cancer Risk Stratification and Scan Tailoring Using Deep Learning on Abbreviated Prostate MRI.
Patricia M Johnson, Tarun Dutt, Luke A Ginocchio, Amanpreet Singh Saimbhi, Lavanya Umapathy, Daniel K Sodickson

J Magn Reson Imaging· September 2025

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Morphological Brain Analysis Using Ultra Low-Field MRI.
Peter Hsu, Elisa Marchetto, Daniel K Sodickson, Patricia M Johnson, Jelle Veraart

Hum Brain Mapp· July 2025

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A Trust-Guided Approach to MR Image Reconstruction with Side Information.
Arda Atalik, Sumit Chopra, Daniel K Sodickson

IEEE Trans Med Imaging· July 2025

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Leveraging Representation Learning for Bi-parametric Prostate MRI to Disambiguate PI-RADS 3 and Improve Biopsy Decision Strategies.
Lavanya Umapathy, Patricia M Johnson, Tarun Dutt, Angela Tong, Sumit Chopra, Daniel K Sodickson

Invest Radiol· June 2025

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Multimodal generative AI for interpreting 3D medical images and videos.
Jung-Oh Lee, Hong-Yu Zhou, Tyler M Berzin, Daniel K Sodickson, Pranav Rajpurkar

NPJ Digit Med· May 2025

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Accelerating multi-coil MR image reconstruction using weak supervision.
Arda Atalık, Sumit Chopra, Daniel K Sodickson

MAGMA· February 2025

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DeepEMC-T mapping: Deep learning-enabled T mapping based on echo modulation curve modeling.
Haoyang Pei, Timothy M Shepherd, Yao Wang, Fang Liu, Daniel K Sodickson

Magn Reson Med· December 2024

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The Perils and the Promise of Whole-Body MRI: Why We May Be Debating the Wrong Things.
Daniel K Sodickson

J Am Coll Radiol· November 2024

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An image-domain deep-learning denoising technique for accelerated parallel brain MRI: prospective clinical evaluation.
Laura Onac, Lorand Dobai, Andrei Mouraviev, Mihai A Badila, Denise Yap, Daniel K Sodickson

Radiol Adv· September 2024

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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

Commun Eng· September 2024

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Preliminary Experience with Three Alternative Motion Sensors for 0.55 Tesla MR Imaging.
Radhika Tibrewala, Douglas Brantner, Ryan Brown, Leanna Pancoast, Mahesh Keerthivasan, Daniel K Sodickson

Sensors (Basel)· June 2024

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Brain-implanted conductors amplify radiofrequency fields in rodents: Advantages and risks.
Mihály Vöröslakos, Omid Yaghmazadeh, Leeor Alon, Daniel K Sodickson, György Buzsáki

Bioelectromagnetics· April 2024

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FastMRI Prostate: A public, biparametric MRI dataset to advance machine learning for prostate cancer imaging.
Radhika Tibrewala, Tarun Dutt, Angela Tong, Luke Ginocchio, Riccardo Lattanzi, Daniel K Sodickson

Sci Data· April 2024

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Computational methods for the estimation of ideal current patterns in realistic human models.
Ilias I Giannakopoulos, Ioannis P Georgakis, Daniel K Sodickson, Riccardo Lattanzi

Magn Reson Med· February 2024

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Low-field MRI: A report on the 2022 ISMRM workshop.
Adrienne E Campbell-Washburn, Kathryn E Keenan, Peng Hu, John P Mugler, Krishna S Nayak, Daniel K Sodickson

Magn Reson Med· October 2023

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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

ArXiv· October 2023

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MP-RAVE: IR-Prepared T -Weighted Radial Stack-of-Stars 3D GRE imaging with retrospective motion correction.
Eddy Solomon, Eyal Lotan, Elcin Zan, Daniel K Sodickson, Kai Tobias Block

Magn Reson Med· July 2023

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Deep Learning Reconstruction Enables Prospectively Accelerated Clinical Knee MRI.
Patricia M Johnson, Dana J Lin, Jure Zbontar, C Lawrence Zitnick, Anuroop Sriram, Daniel K Sodickson

Radiology· April 2023

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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, Daniel K Sodickson

ArXiv· April 2023

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Exploring the Acceleration Limits of Deep Learning Variational Network-based Two-dimensional Brain MRI.
Alireza Radmanesh, Matthew J Muckley, Tullie Murrell, Emma Lindsey, Anuroop Sriram, Daniel K Sodickson

Radiol Artif Intell· November 2022

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