Bingcang Huang
Orcid: 0000-0001-9792-5891
According to our database1,
Bingcang Huang authored at least 28 papers
between 2023 and 2026.
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Bibliography
2026
Unsupervised Brain Anomaly Detection Using Structure-Preserving Noise Generation and Multi-Scale Dual-Expert Ensembles.
IEEE J. Biomed. Health Informatics, June, 2026
Adaptive Evidential Fusion of Light-Dark Features With Multi-Scan Mamba for Automated Macular Edema Diagnosis.
Int. J. Imaging Syst. Technol., January, 2026
Modality-specificity multi-aware evidence fusion algorithm using CFP and OCT for fundus diseases diagnosis.
Pattern Recognit., 2026
Low-rank fused modality assisted magnetic resonance imaging reconstruction via an anatomical variation adaptive transformer.
Pattern Recognit., 2026
Causality-driven dual-domain network enhanced by Gaussian splatting for magnetic resonance image reconstruction.
Neural Networks, 2026
Spatial-frequency dual-constrained Mamba diffusion model for cross-modal generation from CFP to FFA.
Medical Image Anal., 2026
Graph mapping Mamba network for automated macular edema diagnosis from fundus images.
Inf. Fusion, 2026
Diagnosis of retinal diseases driven by Mamba multi-modal CLIP auxiliary fusion network.
Inf. Fusion, 2026
Expert Syst. Appl., 2026
Neck computed tomography angiography generation from computed tomography via Mamba U-shaped convolutional network-based diffusion with content and style conditions.
Eng. Appl. Artif. Intell., 2026
Anatomical-phenotypic graph learning for interpretable acute ischemic stroke prognosis prediction from non-contrast CT and clinical data.
Biomed. Signal Process. Control., 2026
Mamba-driven multi-modality MRI reconstruction via scale diversity fusion and frequency purification.
Biomed. Signal Process. Control., 2026
2025
A novel MRI-based deep learning imaging biomarker for comprehensive assessment of the lenticulostriate artery-neural complex.
BMC Medical Imaging, December, 2025
DCTP-Net: Dual-Branch CLIP-Enhance Textual Prompt-Aware Network for Acute Ischemic Stroke Lesion Segmentation From CT Image.
IEEE J. Biomed. Health Informatics, January, 2025
Medical Image Anal., 2025
FPUNet: A Multi-Level Residual Fractional Domain Transformer Network for Ischemic Stroke Image Segmentation.
Int. J. Imaging Syst. Technol., 2025
Multi-Task Collaboration for Cross-Modal Generation and Multi-Modal Ophthalmic Diseases Diagnosis.
IET Image Process., 2025
A parallel dual-domain crossing network combining attention enhancement and multimodal fusion for MRI reconstruction.
Biomed. Signal Process. Control., 2025
Integrating Gaussian mixture model with adjacent spatial adaptive transformer multi-stage network for magnetic resonance image reconstruction.
Biomed. Signal Process. Control., 2025
Semantic-guided Masked Mutual Learning for Multi-modal Brain Tumor Segmentation with Arbitrary Missing Modalities.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025
2024
Dynamic contrast-enhanced MR imaging in identifying active anal fistula after surgery.
BMC Medical Imaging, December, 2024
Mind-bridge: reconstructing visual images based on diffusion model from human brain activity.
Signal Image Video Process., 2024
Hybrid offline and self-knowledge distillation for acute ischemic stroke lesion segmentation from non-contrast CT scans.
Comput. Biol. Medicine, 2024
A conflict-free multi-modal fusion network with spatial reinforcement transformers for brain tumor segmentation.
Comput. Biol. Medicine, 2024
SCS-SLSP: Hard uncertain pixels mining and utilization for semi-supervised cardiac image segmentation using subjective logic theory and subset prototype generation.
Biomed. Signal Process. Control., 2024
MBDA-Net: Multi-source boundary-aware prototype alignment domain adaptation for polyp segmentation.
Biomed. Signal Process. Control., 2024
A Two-Stage Automatic Collateral Scoring Framework Based on Brain Vessel Segmentation.
Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024
2023
M-MSSEU: source-free domain adaptation for multi-modal stroke lesion segmentation using shadowed sets and evidential uncertainty.
Health Inf. Sci. Syst., December, 2023