Kavi Fatania

9PUBLICATIONS
236CO-AUTHORS
Semi- and unsupervised learningSensory processes, perception and performancePredictive and prognostic markersGene expression (incl. microarray and other genome-wide approaches)Cancer therapy (excl. chemotherapy and radiation therapy)
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Publications (9)

|Nov 26, 2025
Self-Supervised Text-Vision Alignment for Automated Brain MRI Abnormality Detection: A Multicenter Study (ALIGN Study).

David A Wood, Emily Guilhem, Sina Kafiabadi

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

Maximilian Zenk, Ujjwal Baid, Sarthak Pati

|Nov 28, 2024
Impact of intensity standardisation and ComBat batch size on clinical-radiomic prognostic models performance in a multi-centre study of patients with glioblastoma.

Kavi Fatania, Russell Frood, Hitesh Mistry

|Apr 13, 2024
Tumour Size and Overall Survival in a Cohort of Patients with Unifocal Glioblastoma: A Uni- and Multivariable Prognostic Modelling and Resampling Study.

Kavi Fatania, Russell Frood, Hitesh Mistry

|Jul 28, 2023
Imaging Spectrum of the Developing Glioblastoma: A Cross-Sectional Observation Study.

Stuart Currie, Kavi Fatania, Russell Frood

|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

6 joint publications

Russell Frood

6 joint publications

Stuart Currie

3 joint publications

Satyam Ghodasara

3 joint publications

Christos Davatzikos