Himashi Peiris

According to our database, Himashi Peiris authored at least 12 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Perivascular space identification nnUNet for generalised usage (PINGU).

Benjamin Sinclair, William Pham, Lucy Vivash, Jasmine Moses, Miranda Lynch, Karina Dorfman, Cassandra Marotta, Shaun Koh, Jacob Bunyamin, Ella Rowsthorn, Alex Jarema, Himashi Peiris, Zhaolin Chen, Sandy R. Shultz, David K. Wright, Dexiao Kong, Sharon L. Naismith, Terence J. O'Brien, Meng Law

Medical Image Anal., 2026

2025

MedNet-PVS: A MedNeXt-Based Deep Learning Model for Automated Segmentation of Perivascular Spaces.

Zhen Xuen Brandon Low, Rory Zhang, Hang Min, William Pham, Lucy Vivash, Jasmine Moses, Miranda Lynch, Karina Dorfman, Cassandra Marotta, Shaun Koh, Jacob Bunyamin, Ella Rowsthorn, Alex Jarema, Himashi Peiris, Zhaolin Chen, Sandy R. Shultz, David K. Wright, Dexiao Kong, Sharon L. Naismith, Terence J. O'Brien, Ying Xia, Meng Law, Benjamin Sinclair

CoRR, August, 2025

Co-Manifold learning for semi-supervised medical image segmentation.

Himashi Peiris, Zhaolin Chen, Gary F. Egan, Mehrtash Harandi

Neurocomputing, 2025

D2Diff: A Dual-Domain Diffusion Model for Accurate Multi-Contrast MRI Synthesis.

Sanuwani Dayarathna, Himashi Peiris, Kh Tohidul Islam, Tien-Tsin Wong, Zhaolin Chen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

2024

Motion-Informed Deep Learning for Brain MR Image Reconstruction Framework.

Zhifeng Chen, Kamlesh Pawar, Kh Tohidul Islam, Himashi Peiris, Gary F. Egan, Zhaolin Chen

CoRR, 2024

Bilateral Hippocampi Segmentation in Low Field MRIs Using Mutual Feature Learning via Dual-Views.

Himashi Peiris, Zhaolin Chen

Proceedings of the Low Field Pediatric Brain Magnetic Resonance Image Segmentation and Quality Assurance, 2024

2023

Uncertainty-guided dual-views for semi-supervised volumetric medical image segmentation.

Himashi Peiris, Munawar Hayat, Zhaolin Chen, Gary F. Egan, Mehrtash Harandi

Nat. Mac. Intell., July, 2023

2022

A Robust Volumetric Transformer for Accurate 3D Tumor Segmentation.

Himashi Peiris, Munawar Hayat, Zhaolin Chen, Gary F. Egan, Mehrtash Harandi

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Hybrid Window Attention Based Transformer Architecture for Brain Tumor Segmentation.

Himashi Peiris, Munawar Hayat, Zhaolin Chen, Gary F. Egan, Mehrtash Harandi

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2022

2021

A Volumetric Transformer for Accurate 3D Tumor Segmentation.

Himashi Peiris, Munawar Hayat, Zhaolin Chen, Gary F. Egan, Mehrtash Harandi

CoRR, 2021

Duo-SegNet: Adversarial Dual-Views for Semi-supervised Medical Image Segmentation.

Himashi Peiris, Zhaolin Chen, Gary F. Egan, Mehrtash Harandi

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Reciprocal Adversarial Learning for Brain Tumor Segmentation: A Solution to BraTS Challenge 2021 Segmentation Task.

Himashi Peiris, Zhaolin Chen, Gary F. Egan, Mehrtash Harandi

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021