6 citations · 8 across the 8 of their papers we have counts for
8 papers
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…
PROFUSEme: PROstate Cancer Biochemical Recurrence Prediction via FUSEd Multi-modal Embeddings
Suhang You, Carla Pitarch-Abaigar, Sanket Kachole +6
Almost 30% of prostate cancer (PCa) patients undergoing radical prostatectomy (RP) experience biochemical recurrence (BCR), characterized by increased prostate specific antigen (PS…
Asynchronous Bioplausible Neuron for SNN for Event Vision
Sanket Kachole, Hussain Sajwani, Fariborz Baghaei Naeini +2
Spiking Neural Networks (SNNs) offer a biologically inspired approach to computer vision that can lead to more efficient processing of visual data with reduced energy consumption.…
Asynchronous Events-based Panoptic Segmentation using Graph Mixer Neural Network
Sanket Kachole, Yusra Alkendi, Fariborz Baghaei Naeini +2
In the context of robotic grasping, object segmentation encounters several difficulties when faced with dynamic conditions such as real-time operation, occlusion, low lighting, mot…
Bimodal SegNet: Instance Segmentation Fusing Events and RGB Frames for Robotic Grasping
Sanket Kachole, Xiaoqian Huang, Fariborz Baghaei Naeini +3
Object segmentation for robotic grasping under dynamic conditions often faces challenges such as occlusion, low light conditions, motion blur and object size variance. To address t…
A Neuromorphic Dataset for Object Segmentation in Indoor Cluttered Environment
Xiaoqian Huang, Kachole Sanket, Abdulla Ayyad +3
Taking advantage of an event-based camera, the issues of motion blur, low dynamic range and low time sampling of standard cameras can all be addressed. However, there is a lack of…