activity
20242026
most citedKAN-Mamba FusionNet: Redefining Medical Image Segmentation with Non-Linear Modeling

1 citations · 1 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2026

RefDiffNet: Learning to Expose Subtle PCB Defects Before Detection

Vinay Edula, Nilesh Badwe, Priyanka Bagade

Printed circuit board (PCB) defect detection is challenging because many defects are small and difficult to distinguish from complex background patterns. Most deep learning-based P…

cs.CV2026

MoEIoU: Rethinking Bounding-Box Regression as a Mixture of Experts

Vinay Edula, Priyanka Bagade

Bounding-box regression is a fundamental component of object detection, playing a critical role in precise object localization. Existing Intersection-over-Union (IoU)-based loss fu…

cs.CV2025

AGGRNet: Selective Feature Extraction and Aggregation for Enhanced Medical Image Classification

Ansh Makwe, Akansh Agrawal, Prateek Jain +2

Medical image analysis for complex tasks such as severity grading and disease subtype classification poses significant challenges due to intricate and similar visual patterns among…

eess.IV2025

EXACT-CT: EXplainable Analysis for Crohn's and Tuberculosis using CT

Shashwat Gupta, Sarthak Gupta, Akshan Agrawal +3

Crohn's disease and intestinal tuberculosis share many overlapping features such as clinical, radiological, endoscopic, and histological features - particularly granulomas, making…

eess.IV2025

AutoComb: Automated Comb Sign Detector for 3D CTE Scans

Shashwat Gupta, Sarthak Gupta, Akshan Agrawal +3

Comb Sign is an important imaging biomarker to detect multiple gastrointestinal diseases. It shows up as increased blood flow along the intestinal wall indicating potential abnorma…

cs.CV2024★ 1 cited

KAN-Mamba FusionNet: Redefining Medical Image Segmentation with Non-Linear Modeling

Akansh Agrawal, Akshan Agrawal, Shashwat Gupta +1

Medical image segmentation is essential for applications like robotic surgeries, disease diagnosis, and treatment planning. Recently, various deep-learning models have been propose…

eess.IV2024

Bridging the Diagnostic Divide: Classical Computer Vision and Advanced AI methods for distinguishing ITB and CD through CTE Scans

Shashwat Gupta, L. Gokulnath, Akshan Aggarwal +3

Differentiating between Intestinal Tuberculosis (ITB) and Crohn's Disease (CD) poses a significant clinical challenge due to their similar symptoms, clinical presentations, and ima…