:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Urooj, Midhat, Banerjee, Ayan, Shaikh, Farhat, Thakur, Kuntal, Gupta, Sandeep
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence
Online Access:	https://arxiv.org/abs/2509.02918
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

XAI-MeD: Explainable Knowledge Guided Neuro-Symbolic Framework for Domain Generalization and Rare Class Detection in Medical Imaging
by: Urooj, Midhat, et al.
Published: (2026)

NEURO-GUARD: Neuro-Symbolic Generalization and Unbiased Adaptive Routing for Diagnostics -- Explainable Medical AI
by: Urooj, Midhat, et al.
Published: (2025)

MedXAI: A Retrieval-Augmented and Self-Verifying Framework for Knowledge-Guided Medical Image Analysis
by: Urooj, Midhat, et al.
Published: (2025)

Human Knowledge Integrated Multi-modal Learning for Single Source Domain Generalization
by: Banerjee, Ayan, et al.
Published: (2026)

EMMA: Extracting Multiple physical parameters from Multimodal Data
by: Shaikh, Farhat, et al.
Published: (2026)

Experience with Single Domain Generalization in Real World Medical Imaging Deployments
by: Banerjee, Ayan, et al.
Published: (2026)

Accelerated Digital Twin Learning for Edge AI: A Comparison of FPGA and Mobile GPU
by: Xu, Bin, et al.
Published: (2025)

Diabetic Retinopathy Detection Using Quantum Transfer Learning
by: Jain, Ankush, et al.
Published: (2024)

Towards Neuro-Symbolic Video Understanding
by: Choi, Minkyu, et al.
Published: (2024)

We'll Fix it in Post: Improving Text-to-Video Generation with Neuro-Symbolic Feedback
by: Choi, Minkyu, et al.
Published: (2025)

Neuro-Symbolic Evaluation of Text-to-Video Models using Formal Verification
by: Sharan, S P, et al.
Published: (2024)

From Pixels to Explanations: Interpretable Diabetic Retinopathy Grading with CNN-Transformer Ensembles, Visual Explainability and Vision-Language Models
by: Khokhar, Pir Bakhsh, et al.
Published: (2026)

Looking into Concept Explanation Methods for Diabetic Retinopathy Classification
by: Storås, Andrea M., et al.
Published: (2024)

Effect of Data Augmentation on Conformal Prediction for Diabetic Retinopathy
by: Ahamed, Rizwan, et al.
Published: (2025)

Exploring Deep Learning and Ultra-Widefield Imaging for Diabetic Retinopathy and Macular Edema
by: Jimenez-Lizcano, Pablo, et al.
Published: (2026)

Improving Interpretability and Accuracy in Neuro-Symbolic Rule Extraction Using Class-Specific Sparse Filters
by: Padalkar, Parth, et al.
Published: (2025)

Explainable Fundus Image Curation and Lesion Detection in Diabetic Retinopathy
by: Mihai, Anca, et al.
Published: (2025)

Integrating Non-Linear Radon Transformation for Diabetic Retinopathy Grading
by: Mohsen, Farida, et al.
Published: (2025)

Automated Quantification of Hyperreflective Foci in SD-OCT With Diabetic Retinopathy
by: Okuwobi, Idowu Paul, et al.
Published: (2024)

From Retinal Pixels to Patients: Evolution of Deep Learning Research in Diabetic Retinopathy Screening
by: Chopra, Muskaan, et al.
Published: (2025)

Diabetic Retinopathy Classification using Downscaling Algorithms and Deep Learning
by: Doshi, Nishi, et al.
Published: (2026)

Advanced Segmentation of Diabetic Retinopathy Lesions Using DeepLabv3+
by: Boulaabi, Meher, et al.
Published: (2025)

Classification of Diabetic Retinopathy using Pre-Trained Deep Learning Models
by: Al-Kamachy, Inas, et al.
Published: (2024)

Robust Diabetic Retinopathy Grading Using Dual-Resolution Attention-Based Deep Learning with Ordinal Regression
by: Hashmi, Afshan
Published: (2026)

Hybrid Deep Learning Framework for Enhanced Diabetic Retinopathy Detection: Integrating Traditional Features with AI-driven Insights
by: Maity, Arpan, et al.
Published: (2025)

ViLLa: A Neuro-Symbolic approach for Animal Monitoring
by: Koduri, Harsha
Published: (2025)

Managing Diabetic Retinopathy with Deep Learning: A Data Centric Overview
by: Dey, Shramana, et al.
Published: (2026)

Neuro-Symbolic Concepts
by: Mao, Jiayuan, et al.
Published: (2025)

LazyVLM: Neuro-Symbolic Approach to Video Analytics
by: Jian, Xiangru, et al.
Published: (2025)

A Multi-Modal Neuro-Symbolic Approach for Spatial Reasoning-Based Visual Grounding in Robotics
by: Jahangard, Simindokht, et al.
Published: (2025)

Beyond CLIP: Knowledge-Enhanced Multimodal Transformers for Cross-Modal Alignment in Diabetic Retinopathy Diagnosis
by: Samanta, Argha Kamal, et al.
Published: (2025)

Detecting Severity of Diabetic Retinopathy from Fundus Images: A Transformer Network-based Review
by: Karkera, Tejas, et al.
Published: (2023)

Design and Validation of a Responsible Artificial Intelligence-based System for the Referral of Diabetic Retinopathy Patients
by: Moya-Sánchez, E. Ulises, et al.
Published: (2025)

Neuro-Symbolic Scene Graph Conditioning for Synthetic Image Dataset Generation
by: Savazzi, Giacomo, et al.
Published: (2025)

Framework for developing and evaluating ethical collaboration between expert and machine
by: Banerjee, Ayan, et al.
Published: (2024)

Hierarchical NeuroSymbolic Approach for Comprehensive and Explainable Action Quality Assessment
by: Okamoto, Lauren, et al.
Published: (2024)

VIRO: Robust and Efficient Neuro-Symbolic Reasoning with Verification for Referring Expression Comprehension
by: Park, Hyejin, et al.
Published: (2026)

Balancing Accuracy and Efficiency: CNN Fusion Models for Diabetic Retinopathy Screening
by: Islam, Md Rafid, et al.
Published: (2025)

Generating customized prompts for Zero-Shot Rare Event Medical Image Classification using LLM
by: Kamboj, Payal, et al.
Published: (2025)

Enhancing Early Diabetic Retinopathy Detection through Synthetic DR1 Image Generation: A StyleGAN3 Approach
by: Das, Sagarnil, et al.
Published: (2025)