Realtime Computer Vision-Based Accurate Vehicle Counting and Speed Estimation for Highways. - Chamani Shiranthika; Prashan Premaratne; Z. Zheng; Brendan Halloran (ICIC (1), 2019)

Supervised Optimal Chemotherapy Regimen Based on Offline Reinforcement Learning. - Chamani Shiranthika; Kuo-Wei Chen; Chung-Yih Wang; Chan-Yun Yang; B. H. Sudantha; Wei-Fu Li (IEEE J. Biomed. Health Informatics, 2022)

Quality-Adaptive Split-Federated Learning for Segmenting Medical Images with Inaccurate Annotations. - Zahra Hafezi Kafshgari; Chamani Shiranthika; Parvaneh Saeedi; Ivan V. Bajic (ISBI, 2023)

SplitFed Resilience to Packet Loss: Where to Split, that is the Question. - Chamani Shiranthika; Zahra Hafezi Kafshgari; Parvaneh Saeedi; Ivan V. Bajic (ISIC/Care-AI/MedAGI/DeCaF@MICCAI, 2023)

Decentralized Learning in Healthcare: A Review of Emerging Techniques. - Chamani Shiranthika; Parvaneh Saeedi; Ivan V. Bajic (IEEE Access, 2023)

Reinforcement learning strategies in cancer chemotherapy treatments: A review. - Chan-Yun Yang; Chamani Shiranthika; Chung-Yih Wang; Kuo-Wei Chen; Sagara Sumathipala (Comput. Methods Programs Biomed., 2023)

Adaptive Asynchronous Split Federated Learning for Medical Image Segmentation. - Chamani Shiranthika; Hadi Hadizadeh; Parvaneh Saeedi; Ivan V. Bajic (IEEE Access, 2024)

Optimizing Split Points for Error-Resilient SplitFed Learning. - Chamani Shiranthika; Parvaneh Saeedi; Ivan V. Bajic (CoRR, 2024)

SplitFedZip: Learned Compression for Data Transfer Reduction in Split-Federated Learning. - Chamani Shiranthika; Hadi Hadizadeh; Parvaneh Saeedi; Ivan V. Bajic (CoRR, 2024)

MedSegNet10: A Publicly Accessible Network Repository for Split Federated Medical Image Segmentation. - Chamani Shiranthika; Zahra Hafezi Kafshgari; Hadi Hadizadeh; Parvaneh Saeedi (CoRR, 2025)