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Chandrakanth Jayachandran Preetha

5PUBLICATIONS

218CO-AUTHORS

Sensory processes, perception and performanceModelling and simulationNeural networksDeep learningSemi- and unsupervised learning

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Publications (5)

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|Jul 08, 2025

Towards fair decentralized benchmarking of healthcare AI algorithms with the Federated Tumor Segmentation (FeTS) challenge.

Maximilian Zenk, Ujjwal Baid, Sarthak Pati

|Oct 16, 2024

Addressing the Generalizability of AI in Radiology Using a Novel Data Augmentation Framework with Synthetic Patient Image Data: Proof-of-Concept and External Validation for Classification Tasks in Multiple Sclerosis.

Gianluca Brugnara, Chandrakanth Jayachandran Preetha, Katerina Deike

|Jan 02, 2024

Deep Learning-based Identification of Brain MRI Sequences Using a Model Trained on Large Multicentric Study Cohorts.

Mustafa Ahmed Mahmutoglu, Chandrakanth Jayachandran Preetha, Hagen Meredig

|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

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Frequent Collaborators

5 joint publications

Wolfgang Wick

5 joint publications

Gianluca Brugnara

4 joint publications

Michael Weller

4 joint publications

Philipp Vollmuth

3 joint publications

Sarthak Pati

3 joint publications

Ujjwal Baid

3 joint publications

Brandon Edwards

3 joint publications

Patrick Foley

3 joint publications

Christos Davatzikos

3 joint publications

Chiharu Sako

Frequent Collaborators

5 joint publications

Wolfgang Wick

5 joint publications

Gianluca Brugnara

4 joint publications

Michael Weller

4 joint publications

Philipp Vollmuth

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