activity
20242026
most citedImproving Deformable Image Registration Accuracy through a Hybrid Similarity Metric and CycleGAN Based Auto-Segmentation

2 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2026

Efficient Aspect Term Extraction using Spiking Neural Network

Abhishek Kumar Mishra, Arya Somasundaram, Anup Das +1

Aspect Term Extraction (ATE) identifies aspect terms in review sentences, a key subtask of sentiment analysis. While most existing approaches use energy-intensive deep neural netwo…

cs.LG2025

New Spiking Architecture for Multi-Modal Decision-Making in Autonomous Vehicles

Aref Ghoreishee, Abhishek Mishra, Lifeng Zhou +2

This work proposes an end-to-end multi-modal reinforcement learning framework for high-level decision-making in autonomous vehicles. The framework integrates heterogeneous sensory…

cs.AR2025

GPU-Accelerated Simulated Oscillator Ising/Potts Machine Solving Combinatorial Optimization Problems

Yilmaz Ege Gonul, Ceyhun Efe Kayan, Ilknur Mustafazade +2

Oscillator-based Ising machines (OIMs) and oscillator-based Potts machines (OPMs) have emerged as promising hardware accelerators for solving NP-hard combinatorial optimization pro…

cs.NE2024

Wafer2Spike: Spiking Neural Network for Wafer Map Pattern Classification

Abhishek Mishra, Suman Kumar, Anush Lingamoorthy +2

In integrated circuit design, the analysis of wafer map patterns is critical to improve yield and detect manufacturing issues. We develop Wafer2Spike, an architecture for wafer map…

physics.med-ph20242 cited

Improving Deformable Image Registration Accuracy through a Hybrid Similarity Metric and CycleGAN Based Auto-Segmentation

Keyur D. Shah, James A. Shackleford, Nagarajan Kandasamy +1

Purpose: Deformable image registration (DIR) is critical in adaptive radiation therapy (ART) to account for anatomical changes. Conventional intensity-based DIR methods often fail…