Fang Wang
Orcid: 0000-0001-8979-1520Affiliations:
- Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
According to our database1,
Fang Wang
authored at least 16 papers
between 2020 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
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, May, 2025
2024
Rethinking Multiple Instance Learning for Whole Slide Image Classification: A Bag-Level Classifier is a Good Instance-Level Teacher.
IEEE Trans. Medical Imaging, November, 2024
Segmentation Guided Crossing Dual Decoding Generative Adversarial Network for Synthesizing Contrast-Enhanced Computed Tomography Images.
IEEE J. Biomed. Health Informatics, August, 2024
Multimodal Fusion with Cross-attention Transformer for HCC Early Recurrence Prediction from Multi-Phase CT and Clinical Data.
Proceedings of the 2024 7th International Conference on Machine Learning and Machine Intelligence (MLMI), 2024
k-Uniform Hypergraph Reasoning Network for Focal Liver Lesions Classification in Multimodal Magnetic Resonance Imaging.
Proceedings of the 13th IEEE Global Conference on Consumer Electronics, 2024
3D Fusion W-Net and HoloLens-Based Interactive Visualization for Lung Airway Segmentation.
Proceedings of the 13th IEEE Global Conference on Consumer Electronics, 2024
2023
Iteratively Coupled Multiple Instance Learning from Instance to Bag Classifier for Whole Slide Image Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
CMIR: A Unified Cross-Modality Framework for Preoperative Accurate Prediction of Microvascular Invasion in Hepatocellular Carcinoma.
Proceedings of the MEDINFO 2023 - The Future Is Accessible, 2023
A Self-Supervised Transformer-Based Model for Early Recurrence Prediction of HCC with Multimodal MRI.
Proceedings of the 12th IEEE Global Conference on Consumer Electronics, 2023
Contrastive Learning for Preoperative Early Recurrence Prediction of Hepatocellular Carcinoma with Liver CT Image and Tumor Mask.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
MVI-Wise GAN: Synthetic MRI to Improve Microvascular Invasion Prediction in Hepatocellular Carcinoma.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
Vision-Guided Attention-Enhanced Network for Predicting Microvascular Invasion in Hepatocellular Carcinoma.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
2022
Mutual Information-Based Graph Co-Attention Networks for Multimodal Prior-Guided Magnetic Resonance Imaging Segmentation.
IEEE Trans. Circuits Syst. Video Technol., 2022
Deep Learning-based Risk Prediction Model for Recurrence-free Survival in Patients with Hepatocellular Carcinoma Using Multi-phase CT Image.
Proceedings of the 11th IEEE Global Conference on Consumer Electronics, 2022
A Transformer-Based Model for Preoperative Early Recurrence Prediction of Hepatocellular Carcinoma with Muti-modality MRI.
Proceedings of the Computer Vision - ACCV 2022 Workshops, 2022
2020
Multimodal Priors Guided Segmentation of Liver Lesions in MRI Using Mutual Information Based Graph Co-Attention Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020