Satyam Ghodasara

5PUBLICATIONS
212CO-AUTHORS
Te urupare me te whai wāhi Māori ki te mātauranga (Māori responsiveness and engaged education)Sensory processes, perception and performanceDeep learningSemi- and unsupervised learningEconomic models and forecasting
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Publications (5)

|Feb 04, 2026
Teaching MRI to Read the Report: Text-Image Alignment for Brain MRI at Scale.

Satyam Ghodasara

|Jul 08, 2025
Towards fair decentralized benchmarking of healthcare AI algorithms with the Federated Tumor Segmentation (FeTS) challenge.

Maximilian Zenk, Ujjwal Baid, Sarthak Pati

|Jan 26, 2023
Author Correction: Federated learning enables big data for rare cancer boundary detection.

Sarthak Pati, Ujjwal Baid, Brandon Edwards

|Dec 05, 2022
Federated learning enables big data for rare cancer boundary detection.

Sarthak Pati, Ujjwal Baid, Brandon Edwards

|Jun 25, 2020
Quantifying Perfusion Properties with DCE-MRI Using a Dictionary Matching Approach.

Satyam Ghodasara, Yong Chen, Shivani Pahwa

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Frequent Collaborators

3 joint publications

Chandrakanth J Preetha

3 joint publications

Gianluca Brugnara

3 joint publications

Sarthak Pati

3 joint publications

Ujjwal Baid