6 citations · 8 across the 8 of their papers we have counts for
3 papers · 1 filter
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…
LLM-Conditioned Synthesis of Pathological Gaits via Structured Gait-Language Representations
Mritula Chandrasekaran, Sanket Kachole, Jarek Francik +1
Pathological gait datasets remain scarce due to privacy, recruitment, cost, and movement variability. Our work presents a multimodal LLM-guided framework for pathology-aware 3D gai…
PGcGAN: Pathological Gait-Conditioned GAN for Human Gait Synthesis
Mritula Chandrasekaran, Sanket Kachole, Jarek Francik +1
Pathological gait analysis is constrained by limited and variable clinical datasets, which restrict the modeling of diverse gait impairments. To address this challenge, we propose…