Fang Wang

21 papers Journal 9Unranked 12
YearRankTypeTitle / Venue / Authors
2026 J jnl
MHG-Adapter: A parameter-efficient multimodal hypergraph adapter for text-driven medical image segmentation.
Displays
Shaocong Mo, Ming Cai, Lanfen Lin, Ruofeng Tong, Fang Wang, Qingqing Chen, Yinhao Li, Hongjie Hu, Yen-Wei Chen
2026 J jnl
Multimodal Graph Learning With Multi-Hypergraph Reasoning Networks for Focal Liver Lesion Classification in Multimodal Magnetic Resonance Imaging.
IEEE J. Biomed. Health Informatics
Shaocong Mo, Ming Cai, Lanfen Lin, Ruofeng Tong, Fang Wang, Qingqing Chen, Wenbin Ji, Yinhao Li, Hongjie Hu, Yen-Wei Chen
2025 J jnl
Accurate and Scalable Multimodal Pathology Retrieval via Attentive Vision-Language Alignment.
CoRR
Hongyi Wang, Zhengjie Zhu, Jiabo Ma, Fang Wang, Yue Shi, Bo Luo, Jili Wang, Qiuyu Cai, Xiuming Zhang, Yen-Wei Chen, Lanfen Lin, Hao Chen
2025 J jnl
SAMA: A Self-and-Mutual Attention Network for Accurate Recurrence Prediction of Non-Small Cell Lung Cancer Using Genetic and CT Data.
IEEE J. Biomed. Health Informatics
Yang Ai, Jing Liu, Yinhao Li, Fang Wang, Xiuju Du, Rahul Kumar Jain, Lanfen Lin, Yen-Wei Chen
2024 — conf
3D Fusion W-Net and HoloLens-Based Interactive Visualization for Lung Airway Segmentation.
GCCE
Liang Lyu, Jiaqing Liu, Shurong Chai, Fang Wang, Tomoko Tateyama, Xu Qiao, Yen-Wei Chen
2024 — conf
Multimodal Fusion with Cross-attention Transformer for HCC Early Recurrence Prediction from Multi-Phase CT and Clinical Data.
MLMI
Xianru Zhang, Fang Wang, Yinhao Li, Lanfen Lin, Hongjie Hu, Yen-Wei Chen
2024 J jnl
Rethinking Multiple Instance Learning for Whole Slide Image Classification: A Bag-Level Classifier is a Good Instance-Level Teacher.
IEEE Trans. Medical Imaging
Hongyi Wang, Luyang Luo, Fang Wang, Ruofeng Tong, Yen-Wei Chen, Hongjie Hu, Lanfen Lin, Hao Chen
2024 J jnl
Segmentation Guided Crossing Dual Decoding Generative Adversarial Network for Synthesizing Contrast-Enhanced Computed Tomography Images.
IEEE J. Biomed. Health Informatics
Yulin Yang, Qingqing Chen, Yinhao Li, Fang Wang, Xian-Hua Han, Yutaro Iwamoto, Jing Liu, Lanfen Lin, Hongjie Hu, Yen-Wei Chen
2024 — conf
k-Uniform Hypergraph Reasoning Network for Focal Liver Lesions Classification in Multimodal Magnetic Resonance Imaging.
GCCE
Shaocong Mo, Ming Cai, Lanfen Lin, Ruofeng Tong, Fang Wang, Qingqing Chen, Hongjie Hu, Yinhao Li, Yen-Wei Chen
2023 — conf
A Self-Supervised Transformer-Based Model for Early Recurrence Prediction of HCC with Multimodal MRI.
GCCE
Xianru Zhang, Gan Zhan, Fang Wang, Yinhao Li, Lanfen Lin, Hongjie Hu, Yen-Wei Chen
2023 — conf
CMIR: A Unified Cross-Modality Framework for Preoperative Accurate Prediction of Microvascular Invasion in Hepatocellular Carcinoma.
MedInfo
Jing Liu, Yang Ai, Chao Huang, Fang Wang, Yingying Xu, Titinunt Kitrungrotsakul, Jing Ma, Lanfen Lin, Yen-Wei Chen, Jingsong Li
2023 — conf
Contrastive Learning for Preoperative Early Recurrence Prediction of Hepatocellular Carcinoma with Liver CT Image and Tumor Mask.
EMBC
Yingying Xu, Jiayue Zhao, Qingqing Chen, Fang Wang, Lanfen Lin, Hongjie Hu, Ruofeng Tong, Jingsong Li, Yen-Wei Chen
2023 — conf
Iteratively Coupled Multiple Instance Learning from Instance to Bag Classifier for Whole Slide Image Classification.
MICCAI (6)
Hongyi Wang, Luyang Luo, Fang Wang, Ruofeng Tong, Yen-Wei Chen, Hongjie Hu, Lanfen Lin, Hao Chen
2023 J jnl
Iteratively Coupled Multiple Instance Learning from Instance to Bag Classifier for Whole Slide Image Classification.
CoRR
Hongyi Wang, Luyang Luo, Fang Wang, Ruofeng Tong, Yen-Wei Chen, Hongjie Hu, Lanfen Lin, Hao Chen
2023 — conf
MVI-Wise GAN: Synthetic MRI to Improve Microvascular Invasion Prediction in Hepatocellular Carcinoma.
EMBC
Jing Liu, Yulin Yang, Yang Ai, Titinunt Kitrungrotsakul, Fang Wang, Lanfen Lin, Ruofeng Tong, Yen-Wei Chen, Jingsong Li
2023 J jnl
Rethinking Multiple Instance Learning for Whole Slide Image Classification: A Bag-Level Classifier is a Good Instance-Level Teacher.
CoRR
Hongyi Wang, Luyang Luo, Fang Wang, Ruofeng Tong, Yen-Wei Chen, Hongjie Hu, Lanfen Lin, Hao Chen
2023 — conf
Vision-Guided Attention-Enhanced Network for Predicting Microvascular Invasion in Hepatocellular Carcinoma.
EMBC
Jing Liu, Jing Ma, Yang Ai, Jiayue Zhao, Fang Wang, Lanfen Lin, Ruofeng Tong, Yen-Wei Chen, Jingsong Li
2022 — conf
A Transformer-Based Model for Preoperative Early Recurrence Prediction of Hepatocellular Carcinoma with Muti-modality MRI.
ACCV (Workshops)
Gan Zhan, Fang Wang, Weibin Wang, Yinhao Li, Qingqing Chen, Hongjie Hu, Yen-Wei Chen
2022 — conf
Deep Learning-based Risk Prediction Model for Recurrence-free Survival in Patients with Hepatocellular Carcinoma Using Multi-phase CT Image.
GCCE
Weibin Wang, Fang Wang, Yunjun Yang, Yinhao Li, Jing Liu, Xianhua Han, Lanfen Lin, Ruofeng Tong, Hongjie Hu, Yen-Wei Chen
2022 J jnl
Mutual Information-Based Graph Co-Attention Networks for Multimodal Prior-Guided Magnetic Resonance Imaging Segmentation.
IEEE Trans. Circuits Syst. Video Technol.
Shaocong Mo, Ming Cai, Lanfen Lin, Ruofeng Tong, Qingqing Chen, Fang Wang, Hongjie Hu, Yutaro Iwamoto, Xian-Hua Han, Yen-Wei Chen
2020 — conf
Multimodal Priors Guided Segmentation of Liver Lesions in MRI Using Mutual Information Based Graph Co-Attention Networks.
MICCAI (4)
Shaocong Mo, Ming Cai, Lanfen Lin, Ruofeng Tong, Qingqing Chen, Fang Wang, Hongjie Hu, Yutaro Iwamoto, Xian-Hua Han, Yen-Wei Chen