3 papers
cs.CV2025
Weakly Supervised Concept Learning with Class-Level Priors for Interpretable Medical Diagnosis
Md Nahiduzzaman, Steven Korevaar, Alireza Bab-Hadiashar +1
Human-interpretable predictions are essential for deploying AI in medical imaging, yet most interpretable-by-design (IBD) frameworks require concept annotations for training data,…
cs.CV2025
Uncertainty-Aware Information Pursuit for Interpretable and Reliable Medical Image Analysis
Md Nahiduzzaman, Steven Korevaar, Zongyuan Ge +3
To be adopted in safety-critical domains like medical image analysis, AI systems must provide human-interpretable decisions. Variational Information Pursuit (V-IP) offers an interp…
cs.DC2023
FASTEN: Towards a FAult-tolerant and STorage EfficieNt Cloud: Balancing Between Replication and Deduplication
Sabbir Ahmed, Md Nahiduzzaman, Tariqul Islam +3
With the surge in cloud storage adoption, enterprises face challenges managing data duplication and exponential data growth. Deduplication mitigates redundancy, yet maintaining red…