Fung Fung Ting

According to our database, Fung Fung Ting authored at least 13 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

PK-YOLO: Pretrained Knowledge Guided YOLO for Brain Tumor Detection in Multiplanar MRI Slices.

Ming Kang, Fung Fung Ting, Raphaël C.-W. Phan, Chee-Ming Ting

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

HG-YOLO: Improving Tumor Detection with PP-HGNet and Global Attention Mechanism.

Kien Trang, Bao Quoc Vuong, An Hoang Nguyen, Fung Fung Ting, Chee-Ming Ting

Proceedings of the Computational Science and Its Applications - ICCSA 2025 - 25th International Conference, Istanbul, Turkey, June 30, 2025

2024

Toward more accurate diagnosis of multiple sclerosis: Automated lesion segmentation in brain magnetic resonance image using modified U-Net model.

Bakhtiar Amaludin, Seifedine Kadry, Fung Fung Ting, David Taniar

Int. J. Imaging Syst. Technol., January, 2024

ASF-YOLO: A novel YOLO model with attentional scale sequence fusion for cell instance segmentation.

Ming Kang, Chee-Ming Ting, Fung Fung Ting, Raphaël C.-W. Phan

Image Vis. Comput., 2024

A Multimodal Feature Distillation with CNN-Transformer Network for Brain Tumor Segmentation with Incomplete Modalities.

Ming Kang, Fung Fung Ting, Raphaël C.-W. Phan, Zongyuan Ge, Chee-Ming Ting

CoRR, 2024

CAFCT: Contextual and Attentional Feature Fusions of Convolutional Neural Networks and Transformer for Liver Tumor Segmentation.

Ming Kang, Chee-Ming Ting, Fung Fung Ting, Raphaël C.-W. Phan

CoRR, 2024

Node-Based Graph Convolutional Network With SLIC Method for Breast Cancer Ultrasound Images Classification.

Kien Trang, Fung Fung Ting, Bao Quoc Vuong, Chee-Ming Ting

IEEE Access, 2024

BGF-YOLO: Enhanced YOLOv8 with Multiscale Attentional Feature Fusion for Brain Tumor Detection.

Ming Kang, Chee-Ming Ting, Fung Fung Ting, Raphaël C.-W. Phan

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

CST-Yolo: A Novel Method For Blood Cell Detection Based On Improved Yolov7 And CNN-Swin Transformer.

Ming Kang, Chee-Ming Ting, Fung Fung Ting, Raphaël C.-W. Phan

Proceedings of the IEEE International Conference on Image Processing, 2024

Cafct-Net: A Cnn-Transformer Hybrid Network With Contextual And Attentional Feature Fusion For Liver Tumor Segmentation.

Ming Kang, Chee-Ming Ting, Fung Fung Ting, Raphaël C.-W. Phan

Proceedings of the IEEE International Conference on Image Processing, 2024

2023

RCS-YOLO: A Fast and High-Accuracy Object Detector for Brain Tumor Detection.

Ming Kang, Chee-Ming Ting, Fung Fung Ting, Raphaël C.-W. Phan

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2019

Convolutional neural network improvement for breast cancer classification.

Fung Fung Ting, Yen Jun Tan, Kok Swee Sim

Expert Syst. Appl., 2019

2018

Case-control comparison brain lesion segmentation for early infarct detection.

Fung Fung Ting, Kok Swee Sim, Chee Peng Lim

Comput. Medical Imaging Graph., 2018