Fung Fung Ting

According to our database, Fung Fung Ting authored at least 18 papers between 2018 and 2026.

Collaborative distances:

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

2026

PanopMamba: Vision State Space Modeling for Nuclei Panoptic Segmentation.

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

CoRR, January, 2026

Mitres-UNet: A Hybrid Encoder Framework with Evolutionary Feature Selection for Intracranial Aneurysm Detection.

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

Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

2025

HyTver: A Novel Loss Function for Longitudinal Multiple Sclerosis Lesion Segmentation.

Dayan Perera, Fung Fung Ting, Vishnu Monn

CoRR, August, 2025

MANGA-YOLO: A Mamba-inspired YOLO model with group attention for breast mass detection in mammograms.

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

Comput. Biol. Medicine, 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

HyTver: A Novel Loss Function for Longitudinal Multiple Sclerosis Lesion Segmentation.

Dayan Perera, Fung Fung Ting, Vishnu Monn Baskaran

Proceedings of the Asia Pacific Signal and Information Processing Association Annual Summit and Conference, 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