53 citations · 53 across the 4 of their papers we have counts for
4 papers
Contrastive Deep Encoding Enables Uncertainty-aware Machine-learning-assisted Histopathology
Nirhoshan Sivaroopan, Chamuditha Jayanga, Chalani Ekanayake +6
Deep neural network models can learn clinically relevant features from millions of histopathology images. However generating high-quality annotations to train such models for each…
A Knowledge Distillation Framework For Enhancing Ear-EEG Based Sleep Staging With Scalp-EEG Data
Mithunjha Anandakumar, Jathurshan Pradeepkumar, Simon L. Kappel +2
Sleep plays a crucial role in the well-being of human lives. Traditional sleep studies using Polysomnography are associated with discomfort and often lower sleep quality caused by…
Toward Interpretable Sleep Stage Classification Using Cross-Modal Transformers
Jathurshan Pradeepkumar, Mithunjha Anandakumar, Vinith Kugathasan +4
Accurate sleep stage classification is significant for sleep health assessment. In recent years, several machine-learning based sleep staging algorithms have been developed , and i…
Towards Accurate Cross-Domain In-Bed Human Pose Estimation
Mohamed Afham, Udith Haputhanthri, Jathurshan Pradeepkumar +3
Human behavioral monitoring during sleep is essential for various medical applications. Majority of the contactless human pose estimation algorithms are based on RGB modality, caus…