Dr Himashi Peiris is a Research Fellow at Monash University working at the intersection of artificial intelligence, biomedical imaging and medical image analysis. Her research focuses on label-efficient learning, uncertainty-aware deep learning, multimodal medical foundation models and clinically translatable AI tools for imaging-based diagnosis and analysis. She completed her PhD in Biomedical Engineering at Monash University in 2024, where her work centred on learning with limited labels for medical image segmentation. Her current research spans segmentation, reconstruction, enhancement, synthesis, digital health and AI-enabled biomedical imaging applications.
Kh Tohidul Islam, Sanuwani Dayarathna, Shenjun Zhong, Parisa Zakavi, Helen Kavnoudias, Shawna Farquharson, Gail Durbridge, Hongfu Sun, Stephen Bacchi, Gary F. Egan, Markus Barth, Andrew Dwyer, Katie L. McMahon, Paul M. Parizel, Meng Law & Zhaolin Chen
Read Publication
Fenglai Xiao, Lorenzo Caciagli, Luisa Delazer, Sjoerd Vos, Karin Trimmel, Louis Andre Van Graan, Marine Fleury, Lawrence Binding, Davide Giampiccolo, Dominic Heaney, Sanjeev Rajakulendran, Maria Centeno, Josemir W. Sander, John S. Duncan, Matthias J. Koepp, Britta Wandschneider
Read Publication
Lawrence P Binding, Davide Giampiccolo, Yaqi Ji, Marine Fleury, Sherry Liu, Lorenzo Bianchi, Anna Miserocchi, Andrew W McEvoy, Sallie Baxendale, Matthias Koepp, Fenglai Xiao, Aidan G O’Keeffe, Meneka K Sidhu, Peter N Taylor, Jane de Tisi, Gavin P Winston, John S Duncan, Sjoerd B Vos
Read Publication
Yun A. Huang, Rebecca V Robertson, Noemi Meylakh, Lewis S Crawford, James WM Kang, Paul M Macey, Vaughan G Macefield, Paul J Austin, Kevin A Keay, Luke A Henderson
Read Publication