works on

From the 1 of 10 linked papers with an AI index.

activity
20242026
collaborators

10 papers

cs.CV2026

XEns-CKD: An Explainable Ensemble-Based Approach for Chronic Kidney Disease Stage Detection

Rehan Ahmad, Gousia Habib, Muhammad Shaban +1

Chronic kidney disease (CKD) is a silent disease. Its progression may not significantly hamper a person's daily routine. Human kidney function can be classified as normal or as one…

eess.IV2026

Endo-NeRF++: Uncertainty-Aware Neural Rendering with Multi-Resolution Hash Encoding for Dynamic Surgical Scene Reconstruction

Gousia Habib, Laura Ruotsalainen

The paper presents Endo-NeRF++, a neural rendering system that uses multi-resolution hash encoding and uncertainty‑aware adaptive sampling to improve the reconstruction of dynamic,…

cs.LG2026

medR: Reward Engineering for Clinical Offline Reinforcement Learning via Tri-Drive Potential Functions

Qianyi Xu, Gousia Habib, Feng Wu +5

Reinforcement Learning (RL) offers a powerful framework for optimizing dynamic treatment regimes (DTRs). However, clinical RL is fundamentally bottlenecked by reward engineering: t…

cs.LG2025

medDreamer: Model-Based Reinforcement Learning with Latent Imagination on Complex EHRs for Clinical Decision Support

Qianyi Xu, Gousia Habib, Feng Wu +2

Timely and personalized treatment decisions are essential across a wide range of healthcare settings where patient responses can vary significantly and evolve over time. Clinical d…

eess.IV2025

CFL-SparseMed: Communication-Efficient Federated Learning for Medical Imaging with Top-k Sparse Updates

Gousia Habib, Aniket Bhardwaj, Ritvik Sharma +2

Secure and reliable medical image classification is crucial for effective patient treatment, but centralized models face challenges due to data and privacy concerns. Federated Lear…

cs.LG2025

Beyond Prediction: Reinforcement Learning as the Defining Leap in Healthcare AI

Dilruk Perera, Gousia Habib, Qianyi Xu +4

Reinforcement learning (RL) marks a fundamental shift in how artificial intelligence is applied in healthcare. Instead of merely predicting outcomes, RL actively decides interventi…