Reciprocal Adversarial Learning for Brain Tumor Segmentation: A Solution to BraTS Challenge 2021 Segmentation Task. - Himashi Peiris; Zhaolin Chen; Gary F. Egan; Mehrtash Harandi (BrainLes@MICCAI (1), 2021)

Duo-SegNet: Adversarial Dual-Views for Semi-supervised Medical Image Segmentation. - Himashi Peiris; Zhaolin Chen; Gary F. Egan; Mehrtash Harandi (MICCAI (2), 2021)

A Volumetric Transformer for Accurate 3D Tumor Segmentation. - Himashi Peiris; Munawar Hayat; Zhaolin Chen; Gary F. Egan; Mehrtash Harandi (CoRR, 2021)

Hybrid Window Attention Based Transformer Architecture for Brain Tumor Segmentation. - Himashi Peiris; Munawar Hayat; Zhaolin Chen; Gary F. Egan; Mehrtash Harandi (BrainLes@MICCAI (2), 2022)

A Robust Volumetric Transformer for Accurate 3D Tumor Segmentation. - Himashi Peiris; Munawar Hayat; Zhaolin Chen; Gary F. Egan; Mehrtash Harandi (MICCAI (5), 2022)

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., 2023)

Bilateral Hippocampi Segmentation in Low Field MRIs Using Mutual Feature Learning via Dual-Views. - Himashi Peiris; Zhaolin Chen (LISA@MICCAI, 2024)

Perivascular space Identification Nnunet for Generalised Usage (PINGU). - Benjamin Sinclair; Lucy Vivash; Jasmine Moses; Miranda Lynch; William Pham; Karina Dorfman; Cassandra Marotta; Shaun Koh; Jacob Bunyamin; Ella Rowsthorn; Alex Jarema; Himashi Peiris; et al. (CoRR, 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)

Co-Manifold learning for semi-supervised medical image segmentation. - Himashi Peiris; Zhaolin Chen; Gary F. Egan; Mehrtash Harandi (Neurocomputing, 2025)