38 citations · 50 across the 6 of their papers we have counts for
4 papers · 1 filter
The Federated Tumor Segmentation and Classification (FeTS++) Challenge
Wenyi Tang, Carla Pitarch-Abaigar, Siddhesh Thakur +5
International challenges have become the standard for developing and benchmarking biomedical image analysis methods using centralized multi-institutional data. Federated learning (…
Multi-FRuGaL: Multimodal Flexible Redundancy-aware Decomposed Gated Learning for Cancer Diagnosis and Prognosis
Sanket Kachole, Siddhesh Thakur, Shubham Innani +4
Modern medicine relies on heterogeneous data sources spanning radiology, pathology, text reports, and structured clinical information. However, real-world patient data are frequent…
Biochemical Prostate Cancer Recurrence Prediction: Thinking Fast & Slow
Suhang You, Sanyukta Adap, Siddhesh Thakur +2
Time to biochemical recurrence in prostate cancer is essential for prognostic monitoring of the progression of patients after prostatectomy, which assesses the efficacy of the surg…
BraTS-Path Challenge: Assessing Heterogeneous Histopathologic Brain Tumor Sub-regions
Spyridon Bakas, Siddhesh P. Thakur, Shahriar Faghani +19
Glioblastoma is the most common primary adult brain tumor, with a grim prognosis - median survival of 12-18 months following treatment, and 4 months otherwise. Glioblastoma is wide…