Biosignal/Wearables/EEG Analysis and Representation Learning
Tokenizing Single-Channel EEG with Time-Frequency Motif Learning
Jathurshan Pradeepkumar, Xihao Piao, Zheng Chen, and Jimeng Sun
In Review at ICLR 2025. (Accepted to NeurIPS TS4H 2025)
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 US Edussooriya.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (IEEE TNSRE 2024)
A Knowledge Distillation Framework for Enhancing Ear-EEG based Sleep Staging with Scalp-EEG Data
Mithunjha Anandakumar*, Jathurshan Pradeepkumar*, Simon L. Kappel, Chamira US Edussooriya, and Anjula C. De Silva.
IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC 2023)
Towards Accurate Cross-Domain In-Bed Human Pose Estimation
Mohamed Afham*, Udith Haputhanthri*, Jathurshan Pradeepkumar*, Mithunjha Anandakumar, Ashwin De Silva, and Chamira US Edussooriya.
International Conference on Acoustics, Speech and Signal Processing (ICASSP 2022)
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.
International Conference on Acoustics, Speech and Signal Processing (ICASSP 2022)
Bachelor's Degree Thesis: Interpretable Multi-Modal Sleep Monitoring System using Ear-EEG and EOG
Jathurshan Pradeepkumar, Mithunjha Anandakumar, Vinith Kugathasan, Thilina D. Lalitharatne, Anjula C. De Silva, and Simon L. Kappel.
Undergraduate Graduation Project Thesis, University of Moratuwa, Sri Lanka.
Deep Learning for Oncology (Cancer Care and Clinical Trials)
TrialPanorama: Database and Benchmark for Systematic Review and Design of Clinical Trials
Zifeng Wang, Qiao Jin, Jiacheng Lin, Junyi Gao, Jathurshan Pradeepkumar, Pengcheng Jiang, Benjamin Danek, Zhiyong Lu, and Jimeng Sun
In Review at NeurIPS 2025
Survivorship Navigator: Personalized Survivorship Care Plan Generation using Large Language Models
Jathurshan Pradeepkumar, Shivam Pankaj Kumar, Courtney Bryce Reamer, Marie Dreyer, Jyoti Patel, David Liebovitz, and Jimeng Sun
Accepted to AMIA 2025 Annual Symposium
Automatically Labeling Clinical Trial Outcomes: A Large-Scale Benchmark for Drug Development
Chufan Gao*, Jathurshan Pradeepkumar*, Trisha Das*, Shivashankar Thati, and Jimeng Sun
Accepted to AMIA 2025 Annual Symposium
Automated Survivorship Care Plan Generation using Large Language Models.
Jathurshan Pradeepkumar, David Liebovitz, Jyoti D. Patel, and Jimeng Sun
ASCO Annual Meeting (2024)
Quantification of Cells in Native Tissues with Object detection and Weak Supervision
Rusiru Thushara*, Jathurshan Pradeepkumar*, J. J. Corrigan, B. P. Engelward, and D. N. Wadduwage.
Imaging Systems and Applications. Optica Publishing Group.
Contrastive Deep Encoding Enables Uncertainty-aware Machine-learning-assisted Histopathology
Dushan Wadduwage, Nirhoshan Sivaroopan, Chamuditha Jayanga, Chalani Ekanayake, Hasindri Watawana, Jathurshan Pradeepkumar, Mithunjha Anandakumar, Ranga Rodrigo, and Chamira Edussooriya.
Physics Augmented U-Net: A High-Frequency Aware Generative Prior for Microscopy
Jathurshan Pradeepkumar, Mithunjha Anandakumar, Vinith Kugathasan, Andrew Seeber, and Dushan N. Wadduwage.
Transformers Can Decide Where to Image at What Resolution
Jathurshan Pradeepkumar, M. Anandakumar, Y. Jayawardena, and D. N. Wadduwage.
Abstract - Focus on Microscopy (2023)