Contrastive Deep Encoding Enables Uncertainty-aware Machine-learning-assisted Histopathology
N. Sivaroopan, C. Jayanga, C. Ekanayake, H. Watawana, Jathurshan Pradeepkumar, M. Anandakumar, R. Rodrigo, C. U. Edussooriya, and D.N. Wadduwag
A Knowledge Distillation Framework for Enhancing Ear-EEG based Sleep Staging with Scalp-EEG Data
Mithunjha Anandakumar*, Jathurshan Pradeepkumar*, Simon L. Kappel, Chamira U. S. Edussooriya, and Anjula C. De Silva
Accepted at IEEE SMC 2023: IEEE Conference on Systems, Man, and Cybernetics
Towards Interpretable Sleep Stage Classification Using Cross-Modal Transformers
Jathurshan Pradeepkumar*, Mithunjha Anandakumar*, Vinith Kugathasan, Dhinesh Suntharalingham, Simon L. Kappel, Anjula C. De Silva, and Chamira U. S. Edussooriya
Towards accurate cross-domain in-bed human pose estimation
Mohamed Afham*, Udith Haputhanthri*, Jathurshan Pradeepkumar*, Mithunjha Anandakumar, Ashwin De Silva and Chamira Edussooriya
ICASSP 2022: IEEE International Conference on Acoustics, Speech, and Signal Processing
Decoding of Hand Gestures from Electrocorticography with LSTM Based Deep Neural Network
Jathurshan Pradeepkumar, Mithunjha Anandakumar, Vinith Kugathasan, Thilina D. Lalitharatne, Anjula C. De Silva and Simon L. Kappel
Physics Augmented U-Net: A High-Frequency Aware Generative Prior for Microscopy
Jathurshan Pradeepkumar*, Mithunjha Anandakumar*, Vinith Kugathasan*, Andrew Seeber, Dushan N. Wadduwage