Fung Fung Ting

22 papers A 1B 2Journal 15Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
PanopMamba: Vision State Space Modeling for Nuclei Panoptic Segmentation.
CoRR
Ming Kang, Fung Fung Ting, Raphaël C.-W. Phan, Zongyuan Ge, Chee-Ming Ting
2025 — conf
HG-YOLO: Improving Tumor Detection with PP-HGNet and Global Attention Mechanism.
ICCSA (1)
Kien Trang, Bao Quoc Vuong, An Hoang Nguyen, Fung Fung Ting, Chee-Ming Ting
2025 — conf
HyTver: A Novel Loss Function for Longitudinal Multiple Sclerosis Lesion Segmentation.
APSIPA
Dayan Perera, Fung Fung Ting, Vishnu Monn Baskaran
2025 J jnl
HyTver: A Novel Loss Function for Longitudinal Multiple Sclerosis Lesion Segmentation.
CoRR
Dayan Perera, Fung Fung Ting, Vishnu Monn
2025 J jnl
MANGA-YOLO: A Mamba-inspired YOLO model with group attention for breast mass detection in mammograms.
Comput. Biol. Medicine
Kien Trang, Fung Fung Ting, Bao Quoc Vuong, Chee-Ming Ting
2025 A conf
PK-YOLO: Pretrained Knowledge Guided YOLO for Brain Tumor Detection in Multiplanar MRI Slices.
WACV
Ming Kang, Fung Fung Ting, Raphaël C.-W. Phan, Chee-Ming Ting
2024 J jnl
A Multimodal Feature Distillation with CNN-Transformer Network for Brain Tumor Segmentation with Incomplete Modalities.
CoRR
Ming Kang, Fung Fung Ting, Raphaël C.-W. Phan, Zongyuan Ge, Chee-Ming Ting
2024 J jnl
ASF-YOLO: A novel YOLO model with attentional scale sequence fusion for cell instance segmentation.
Image Vis. Comput.
Ming Kang, Chee-Ming Ting, Fung Fung Ting, Raphaël C.-W. Phan
2024 — conf
BGF-YOLO: Enhanced YOLOv8 with Multiscale Attentional Feature Fusion for Brain Tumor Detection.
MICCAI (8)
Ming Kang, Chee-Ming Ting, Fung Fung Ting, Raphaël C.-W. Phan
2024 J jnl
CAFCT: Contextual and Attentional Feature Fusions of Convolutional Neural Networks and Transformer for Liver Tumor Segmentation.
CoRR
Ming Kang, Chee-Ming Ting, Fung Fung Ting, Raphaël C.-W. Phan
2024 B conf
CST-Yolo: A Novel Method For Blood Cell Detection Based On Improved Yolov7 And CNN-Swin Transformer.
ICIP
Ming Kang, Chee-Ming Ting, Fung Fung Ting, Raphaël C.-W. Phan
2024 B conf
Cafct-Net: A Cnn-Transformer Hybrid Network With Contextual And Attentional Feature Fusion For Liver Tumor Segmentation.
ICIP
Ming Kang, Chee-Ming Ting, Fung Fung Ting, Raphaël C.-W. Phan
2024 J jnl
Node-Based Graph Convolutional Network With SLIC Method for Breast Cancer Ultrasound Images Classification.
IEEE Access
Kien Trang, Fung Fung Ting, Bao Quoc Vuong, Chee-Ming Ting
2024 J jnl
PK-YOLO: Pretrained Knowledge Guided YOLO for Brain Tumor Detection in Multiplanar MRI Slices.
CoRR
Ming Kang, Fung Fung Ting, Raphaël C.-W. Phan, Chee-Ming Ting
2024 J jnl
Toward more accurate diagnosis of multiple sclerosis: Automated lesion segmentation in brain magnetic resonance image using modified U-Net model.
Int. J. Imaging Syst. Technol.
Bakhtiar Amaludin, Seifedine Kadry, Fung Fung Ting, David Taniar
2023 J jnl
ASF-YOLO: A Novel YOLO Model with Attentional Scale Sequence Fusion for Cell Instance Segmentation.
CoRR
Ming Kang, Chee-Ming Ting, Fung Fung Ting, Raphaël C.-W. Phan
2023 J jnl
BGF-YOLO: Enhanced YOLOv8 with Multiscale Attentional Feature Fusion for Brain Tumor Detection.
CoRR
Ming Kang, Chee-Ming Ting, Fung Fung Ting, Raphaël C.-W. Phan
2023 J jnl
CST-YOLO: A Novel Method for Blood Cell Detection Based on Improved YOLOv7 and CNN-Swin Transformer.
CoRR
Ming Kang, Chee-Ming Ting, Fung Fung Ting, Raphaël C.-W. Phan
2023 — conf
RCS-YOLO: A Fast and High-Accuracy Object Detector for Brain Tumor Detection.
MICCAI (4)
Ming Kang, Chee-Ming Ting, Fung Fung Ting, Raphaël C.-W. Phan
2023 J jnl
RCS-YOLO: A Fast and High-Accuracy Object Detector for Brain Tumor Detection.
CoRR
Ming Kang, Chee-Ming Ting, Fung Fung Ting, Raphaël C.-W. Phan
2019 J jnl
Convolutional neural network improvement for breast cancer classification.
Expert Syst. Appl.
Fung Fung Ting, Yen Jun Tan, Kok Swee Sim
2018 J jnl
Case-control comparison brain lesion segmentation for early infarct detection.
Comput. Medical Imaging Graph.
Fung Fung Ting, Kok Swee Sim, Chee Peng Lim