1 code implementation • 29 Oct 2024 • Ming Kang, Fung Fung Ting, Raphaël C. -W. Phan, Chee-Ming Ting
In this paper, we propose a new You Only Look Once (YOLO)-based detection model that incorporates Pretrained Knowledge (PK), called PK-YOLO, to improve the performance for brain tumor detection in multiplane MRI slices.
1 code implementation • 22 Apr 2024 • Ming Kang, Fung Fung Ting, Raphaël C. -W. Phan, ZongYuan Ge, Chee-Ming Ting
Our ablation study demonstrates the importance of the proposed modules with CNN-Transformer networks and the convolutional blocks in Transformer for improving the performance of brain tumor segmentation with missing modalities.
no code implementations • 30 Jan 2024 • Chee-Ming Ting, Fuad Noman, Raphaël C. -W. Phan, Hernando Ombao
The low-rank plus sparse (L+S) decomposition model has enabled better reconstruction of dynamic magnetic resonance imaging (dMRI) with separation into background (L) and dynamic (S) component.
1 code implementation • 11 Dec 2023 • Ming Kang, Chee-Ming Ting, Fung Fung Ting, Raphaël C. -W. Phan
We propose a novel Attentional Scale Sequence Fusion based You Only Look Once (YOLO) framework (ASF-YOLO) which combines spatial and scale features for accurate and fast cell instance segmentation.
1 code implementation • 22 Sep 2023 • Ming Kang, Chee-Ming Ting, Fung Fung Ting, Raphaël C. -W. Phan
You Only Look Once (YOLO)-based object detectors have shown remarkable accuracy for automated brain tumor detection.
1 code implementation • 31 Jul 2023 • Ming Kang, Chee-Ming Ting, Fung Fung Ting, Raphaël C. -W. Phan
With an excellent balance between speed and accuracy, cutting-edge YOLO frameworks have become one of the most efficient algorithms for object detection.
no code implementations • 10 Dec 2022 • Yee-Fan Tan, Chee-Ming Ting, Fuad Noman, Raphaël C. -W. Phan, Hernando Ombao
Despite its remarkable success for Euclidean-valued data generation, use of standard generative adversarial networks (GANs) to generate manifold-valued FC data neglects its inherent SPD structure and hence the inter-relatedness of edges in real FC.