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Satyam Ghodasara

Showing results (1-10 of 9) with videos related to

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Radiology. Artificial Intelligence|February 4, 2026
Teaching MRI to Read the Report: Text-Image Alignment for Brain MRI at ScaleSatyam Ghodasara
Journal of the American College of Radiology : JACR|October 8, 2025
Does It Work, Help, and Stay? A Framework for Implementing AI Tools in RadiologyChintan Shah, Satyam Ghodasara, David Chen, et al.
Scientific Reports|December 14, 2017
Free-Breathing 3D Liver Perfusion Quantification Using a Dual-Input Two-Compartment ModelSatyam Ghodasara, Shivani Pahwa, Sara Dastmalchian, et al.
Scientific Reports|June 25, 2020
Quantifying Perfusion Properties with DCE-MRI Using a Dictionary Matching ApproachSatyam Ghodasara, Yong Chen, Shivani Pahwa, et al.
Journal of Magnetic Resonance Imaging : JMRI|March 21, 2019
Repeatability and reproducibility of 3D MR fingerprinting relaxometry measurements in normal breast tissueAnanya Panda, Yong Chen, Kathleen Ropella-Panagis, et al.
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine|December 22, 2022
Distinguishing Progression from Pseudoprogression in Glioblastoma Using <sup>18</sup>F-Fluciclovine PETAli Nabavizadeh, Stephen J Bagley, Robert K Doot, et al.
Nature Communications|December 5, 2022
Federated learning enables big data for rare cancer boundary detectionSarthak Pati, Ujjwal Baid, Brandon Edwards, et al.
Nature Communications|January 26, 2023
Author Correction: Federated learning enables big data for rare cancer boundary detectionSarthak Pati, Ujjwal Baid, Brandon Edwards, et al.
Nature Communications|July 8, 2025
Towards fair decentralized benchmarking of healthcare AI algorithms with the Federated Tumor Segmentation (FeTS) challengeMaximilian Zenk, Ujjwal Baid, Sarthak Pati, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Radiology. Artificial Intelligence|February 4, 2026
Teaching MRI to Read the Report: Text-Image Alignment for Brain MRI at ScaleSatyam Ghodasara
Journal of the American College of Radiology : JACR|October 8, 2025
Does It Work, Help, and Stay? A Framework for Implementing AI Tools in RadiologyChintan Shah, Satyam Ghodasara, David Chen, et al.
Scientific Reports|December 14, 2017
Free-Breathing 3D Liver Perfusion Quantification Using a Dual-Input Two-Compartment ModelSatyam Ghodasara, Shivani Pahwa, Sara Dastmalchian, et al.
Scientific Reports|June 25, 2020
Quantifying Perfusion Properties with DCE-MRI Using a Dictionary Matching ApproachSatyam Ghodasara, Yong Chen, Shivani Pahwa, et al.
Journal of Magnetic Resonance Imaging : JMRI|March 21, 2019
Repeatability and reproducibility of 3D MR fingerprinting relaxometry measurements in normal breast tissueAnanya Panda, Yong Chen, Kathleen Ropella-Panagis, et al.
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine|December 22, 2022
Distinguishing Progression from Pseudoprogression in Glioblastoma Using <sup>18</sup>F-Fluciclovine PETAli Nabavizadeh, Stephen J Bagley, Robert K Doot, et al.
Nature Communications|December 5, 2022
Federated learning enables big data for rare cancer boundary detectionSarthak Pati, Ujjwal Baid, Brandon Edwards, et al.
Nature Communications|January 26, 2023
Author Correction: Federated learning enables big data for rare cancer boundary detectionSarthak Pati, Ujjwal Baid, Brandon Edwards, et al.
Nature Communications|July 8, 2025
Towards fair decentralized benchmarking of healthcare AI algorithms with the Federated Tumor Segmentation (FeTS) challengeMaximilian Zenk, Ujjwal Baid, Sarthak Pati, et al.
Pageof 1