3 papers
cs.CV2025
Erase to Retain: Low Rank Adaptation Guided Selective Unlearning in Medical Segmentation Networks
Nirjhor Datta, Md. Golam Rabiul Alam
The ability to selectively remove knowledge from medical segmentation networks is increasingly important for privacy compliance, ethical deployment, and continual dataset revision.…
q-bio.GN2025
Embedding Is (Almost) All You Need: Retrieval-Augmented Inference for Generalizable Genomic Prediction Tasks
Nirjhor Datta, Swakkhar Shatabda, M Sohel Rahman
Large pre-trained DNA language models such as DNABERT-2, Nucleotide Transformer, and HyenaDNA have demonstrated strong performance on various genomic benchmarks. However, most appl…
cs.CV2025
Entropy-Driven Genetic Optimization for Deep-Feature-Guided Low-Light Image Enhancement
Nirjhor Datta, Afroza Akther, M. Sohel Rahman
Image enhancement methods often prioritize pixel level information, overlooking the semantic features. We propose a novel, unsupervised, fuzzy-inspired image enhancement framework…