4 papers
Task-Aligned Self-Supervised Learning for Medical Image Analysis: A Task-Oriented Review with Practical Design Guidelines
Chathura Wimalasiri, Yuchong Yao, Kishor Nandakishor +1
Self-supervised learning (SSL) is increasingly used in medical image analysis to reduce dependence on costly expert annotations by learning transferable representations from unlabe…
Generative Diffusion Prior Distillation for Long-Context Knowledge Transfer
Nilushika Udayangani, Kishor Nandakishor, Marimuthu Palaniswami
While traditional time-series classifiers assume full sequences at inference, practical constraints (latency and cost) often limit inputs to partial prefixes. The absence of class-…
Learning to Reason: Temporal Saliency Distillation for Interpretable Knowledge Transfer
Nilushika Udayangani Hewa Dehigahawattage, Kishor Nandakishor, Marimuthu Palaniswami
Knowledge distillation has proven effective for model compression by transferring knowledge from a larger network called the teacher to a smaller network called the student. Curren…
NeuroSleepNet: A Multi-Head Self-Attention Based Automatic Sleep Scoring Scheme with Spatial and Multi-Scale Temporal Representation Learning
Muhammad Sudipto Siam Dip, Mohammod Abdul Motin, Chandan Karmakar +2
Objective: Automatic sleep scoring is crucial for diagnosing sleep disorders. Existing frameworks based on Polysomnography often rely on long sequences of input signals to predict…