Changmiao Wang
Orcid: 0000-0003-2466-5990
According to our database1,
Changmiao Wang
authored at least 52 papers
between 2015 and 2025.
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Bibliography
2025
TMI-CLNet: Triple-Modal Interaction Network for Chronic Liver Disease Prognosis From Imaging, Clinical, and Radiomic Data Fusion.
CoRR, February, 2025
SCKansformer: Fine-Grained Classification of Bone Marrow Cells via Kansformer Backbone and Hierarchical Attention Mechanisms.
IEEE J. Biomed. Health Informatics, January, 2025
ITCFN: Incomplete Triple-Modal Co-Attention Fusion Network for Mild Cognitive Impairment Conversion Prediction.
CoRR, January, 2025
ICH-PRNet: a cross-modal intracerebral haemorrhage prognostic prediction method using joint-attention interaction mechanism.
Neural Networks, 2025
InfraFFN: A Feature Fusion Network leveraging dual-path convolution and self-attention for infrared image super-resolution.
Knowl. Based Syst., 2025
LPUWF-LDM: Enhanced latent diffusion model for precise late-phase UWF-FA generation on limited dataset.
Expert Syst. Appl., 2025
2024
UWAFA-GAN: Ultra-Wide-Angle Fluorescein Angiography Transformation via Multi-Scale Generation and Registration Enhancement.
IEEE J. Biomed. Health Informatics, August, 2024
Multim. Tools Appl., August, 2024
Accurate leukocyte detection based on deformable-DETR and multi-level feature fusion for aiding diagnosis of blood diseases.
Comput. Biol. Medicine, March, 2024
TDFFM: Transformer and Deep Forest Fusion Model for Predicting Coronavirus 3C-Like Protease Cleavage Sites.
IEEE ACM Trans. Comput. Biol. Bioinform., 2024
Alzheimer's disease diagnosis from single and multimodal data using machine and deep learning models: Achievements and future directions.
Expert Syst. Appl., 2024
BS-LDM: Effective Bone Suppression in High-Resolution Chest X-Ray Images with Conditional Latent Diffusion Models.
CoRR, 2024
XLSTM-HVED: Cross-Modal Brain Tumor Segmentation and MRI Reconstruction Method Using Vision XLSTM and Heteromodal Variational Encoder-Decoder.
CoRR, 2024
Toward Robust Early Detection of Alzheimer's Disease via an Integrated Multimodal Learning Approach.
CoRR, 2024
TC-KANRecon: High-Quality and Accelerated MRI Reconstruction via Adaptive KAN Mechanisms and Intelligent Feature Scaling.
CoRR, 2024
GFE-Mamba: Mamba-based AD Multi-modal Progression Assessment via Generative Feature Extraction from MCI.
CoRR, 2024
ConsistencyDet: A Robust Object Detector with a Denoising Paradigm of Consistency Model.
CoRR, 2024
stMCDI: Masked Conditional Diffusion Model with Graph Neural Network for Spatial Transcriptomics Data Imputation.
CoRR, 2024
Multimodal contrastive learning for spatial gene expression prediction using histology images.
Briefings Bioinform., 2024
Quaternion-based 2D-DOST and stacked principal component analysis network for multimodal face recognition.
Appl. Soft Comput., 2024
SCUNet++: Swin-UNet and CNN Bottleneck Hybrid Architecture with Multi-Fusion Dense Skip Connection for Pulmonary Embolism CT Image Segmentation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
Cache-Driven Spatial Test-Time Adaptation for Cross-Modality Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Proceedings of the Bioinformatics Research and Applications - 20th International Symposium, 2024
Proceedings of the Bioinformatics Research and Applications - 20th International Symposium, 2024
CircMAN: Multi-channel Attention Networks Based on Feature Fusion for CircRNA-Binding Protein Site Prediction.
Proceedings of the Bioinformatics Research and Applications - 20th International Symposium, 2024
GLFF: A Global-Local Feature Fusion Model to Segment Epileptic Focus of Focal Cortical Dysplasia from Multi-Channel MR Images.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
TC-DiffRecon: Texture Coordination MRI Reconstruction Method Based on Diffusion Model and Modified MF-UNet Method.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
ICHPro: Intracerebral Hemorrhage Prognosis Classification via Joint-Attention Fusion-Based 3D Cross-Modal Network.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
PE-MVCNET: Multi-View and Cross-Modal Fusion Network for Pulmonary Embolism Prediction.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
Semi-Supervised Medical Image Segmentation Method Based on Cross-Pseudo Labeling Leveraging Strong and Weak Data Augmentation Strategies.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
BS-Diff: Effective Bone Suppression Using Conditional Diffusion Models From Chest X-Ray Images.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
Proceedings of the Pattern Recognition - 27th International Conference, 2024
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024
ICH-SCNet: Intracerebral Hemorrhage Segmentation and Prognosis Classification Network Using CLIP-guided SAM mechanism.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024
CCLNet: Causal and Contrastive Learning Framework for Enhanced Pulmonary Embolism Detection.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024
Masked Conditional Diffusion Model with GNN for Spatial Transcriptomics Data Imputation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024
2023
TTMFN: Two-stream Transformer-based Multimodal Fusion Network for Survival Prediction.
CoRR, 2023
MPSurv: End-to-End Multi-model Pseudo-Label Model for Brain Tumor Survival Prediction with Population Information Integration.
Proceedings of the Computational Mathematics Modeling in Cancer Analysis, 2023
UWAT-GAN: Fundus Fluorescein Angiography Synthesis via Ultra-Wide-Angle Transformation Multi-scale GAN.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
GCS-ICHNet: Assessment of Intracerebral Hemorrhage Prognosis using Self-Attention with Domain Knowledge Integration.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
2022
2021
Hepatocellular Carcinoma Segmentation fromDigital Subtraction Angiography Videos usingLearnable Temporal Difference.
CoRR, 2021
String Stability and Platoon Safety Analysis of a New Car-Following Model Considering a Stabilization Strategy.
IEEE Access, 2021
Hepatocellular Carcinoma Segmentation from Digital Subtraction Angiography Videos Using Learnable Temporal Difference.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
2020
GP-GAN: Brain tumor growth prediction using stacked 3D generative adversarial networks from longitudinal MR Images.
Neural Networks, 2020
Glioma Growth Prediction via Generative Adversarial Learning from Multi-Time Points Magnetic Resonance Images.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
2019
Learning Mutually Local-Global U-Nets For High-Resolution Retinal Lesion Segmentation In Fundus Images.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Proceedings of the 2019 Challenge on Segmentation of THoracic Organs at Risk in CT Images, 2019
2017
Comput. Medical Imaging Graph., 2017
2015
Segmentation of Brain Tissues from Magnetic Resonance Images Using Adaptively Regularized Kernel-Based Fuzzy c-Means Clustering.
Comput. Math. Methods Medicine, 2015