no code implementations • 28 May 2024 • Zhifeng Chen, Kamlesh Pawar, Kh Tohidul Islam, Himashi Peiris, Gary Egan, Zhaolin Chen
Motion artifacts in Magnetic Resonance Imaging (MRI) are one of the frequently occurring artifacts due to patient movements during scanning.
no code implementations • 14 May 2024 • Benjamin Sinclair, Lucy Vivash, Jasmine Moses, Miranda Lynch, William Pham, 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. OBrien, Meng Law
These are compared to publicly available deep learning methods for 3D segmentation of PVS.
1 code implementation • 16 Sep 2022 • Himashi Peiris, Munawar Hayat, Zhaolin Chen, Gary Egan, Mehrtash Harandi
As intensities of MRI volumes are inconsistent across institutes, it is essential to extract universal features of multi-modal MRIs to precisely segment brain tumors.
1 code implementation • 11 Jan 2022 • Himashi Peiris, Zhaolin Chen, Gary Egan, Mehrtash Harandi
In this concept, the 3D segmentation network learns from dual reciprocal adversarial learning approaches.
1 code implementation • 26 Nov 2021 • Himashi Peiris, Munawar Hayat, Zhaolin Chen, Gary Egan, Mehrtash Harandi
We propose a Transformer architecture for volumetric segmentation, a challenging task that requires keeping a complex balance in encoding local and global spatial cues, and preserving information along all axes of the volume.
1 code implementation • 25 Aug 2021 • Himashi Peiris, Zhaolin Chen, Gary Egan, Mehrtash Harandi
Segmentation of images is a long-standing challenge in medical AI.