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.
James P Buteau MD, Daniel Moon MBBS, Michael T Fahey PhD, Matthew J Roberts PhD, Narjess Ayati MD, Nathan Papa PhD, Prof Declan G Murphy MBBCh, Prof Veeru Kasivisvanathan PhD, Prof Haryana M Dhillon PhD, Yang T Du MBBS, Philip Dundee FRACS, Jessica Foudoulis MHIM, David Hennes MD, Anthony C Hutton FRACS, Jordan Idiare MBBS, Greg Jack FRACS, Sheshang Kamath FRACS, Sophie N Lee PhD, Su-Faye Lee FRANZC, Prof Sze Ting Lee PhD, Alex Zheng
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Kh Tohidul Islam, Parisa Zakavi, Shenjun Zhong, Sanuwani Dayarathna, Himashi Peiris, Helen Kavnoudias, Yi Chao Foong, Anneke Van Der Walt, Juan F. Domínguez D, Karen Caeyenberghs, Gary F. Egan, Meng Law & Zhaolin Chen
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William Pham, Alexander Jarema, Donggyu Rim, Zhibin Chen, Mohamed Khlif, Vaughan Macefield, Luke Henderson & Amy Brodtmann
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David N. Vaughan, David F. Abbott, Amanda Anderson, Greg Fitt, Suyi Ooi, Heath Pardoe, Donna Parker, Yuliya Perchyonok, Eric Pierre, Chris Kokkinos, Robert E. Smith, Michael Stewart, Bahman Tahayori, Chris Tailby, Graeme D. Jackson, the Australian Epilepsy Project Investigators
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