Benzheng Wei
Orcid: 0000-0001-9640-4947
According to our database1,
Benzheng Wei
authored at least 44 papers
between 2008 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2024
MH2AFormer: An Efficient Multiscale Hierarchical Hybrid Attention With a Transformer for Bladder Wall and Tumor Segmentation.
IEEE J. Biomed. Health Informatics, August, 2024
Multi-label local awareness and global co-occurrence priori learning improve chest X-ray classification.
Multim. Syst., June, 2024
Modeling default mode network patterns via a universal spatio-temporal brain attention skip network.
NeuroImage, February, 2024
Medical Biol. Eng. Comput., February, 2024
DSFM Method: A New Approach to Enhancing Discrimination Ability on AI-Generated Datasets.
Proceedings of the Intelligence Science V - 6th IFIP TC 12 International Conference, 2024
2023
Pattern Recognit., October, 2023
Weakly supervised semantic segmentation for skin cancer via CNN superpixel region response.
Multim. Tools Appl., February, 2023
IEEE Trans. Image Process., 2023
Unsupervised medical image feature learning by using de-melting reduction auto-encoder.
Neurocomputing, 2023
MM-SFENet: Multi-scale Multi-task Localization and Classification of Bladder Cancer in MRI with Spatial Feature Encoder Network.
CoRR, 2023
BB-GCN: A Bi-modal Bridged Graph Convolutional Network for Multi-label Chest X-Ray Recognition.
CoRR, 2023
PNCS: Pixel-Level Non-Local Method Based Compressed Sensing Undersampled MRI Image Reconstruction.
IEEE Access, 2023
MPANet: Multi-scale Pyramid Attention Network for Collaborative Modeling Spatio-Temporal Patterns of Default Mode Network.
Proceedings of the AI 2023: Advances in Artificial Intelligence, 2023
2022
Int. J. Comput. Assist. Radiol. Surg., 2022
2021
A deep semantic segmentation correction network for multi-model tiny lesion areas detection.
BMC Medical Informatics Decis. Mak., 2021
Unifying neural learning and symbolic reasoning for spinal medical report generation.
Medical Image Anal., 2021
CoRR, 2021
SHA-MTL: soft and hard attention multi-task learning for automated breast cancer ultrasound image segmentation and classification.
Int. J. Comput. Assist. Radiol. Surg., 2021
Semi-Supervised Screening of COVID-19 from Positive and Unlabeled Data with Constraint Non-Negative Risk Estimator.
Proceedings of the Information Processing in Medical Imaging, 2021
2020
Accurate Screening of COVID-19 Using Attention-Based Deep 3D Multiple Instance Learning.
IEEE Trans. Medical Imaging, 2020
MMCL-Net: Spinal disease diagnosis in global mode using progressive multi-task joint learning.
Neurocomputing, 2020
Unifying Neural Learning and Symbolic Reasoning for Spinal Medical Report Generation.
CoRR, 2020
Robust Screening of COVID-19 from Chest X-ray via Discriminative Cost-Sensitive Learning.
CoRR, 2020
Direct estimation of left ventricular ejection fraction via a cardiac cycle feature learning architecture.
Comput. Biol. Medicine, 2020
IEEE Access, 2020
Proceedings of the 11th International Conference on Awareness Science and Technology, 2020
MwoA auxiliary diagnosis via RSN-based 3D deep multiple instance learning with spatial attention mechanism.
Proceedings of the 11th International Conference on Awareness Science and Technology, 2020
2018
Automated Pathogenesis-Based Diagnosis of Lumbar Neural Foraminal Stenosis via Deep Multiscale Multitask Learning.
Neuroinformatics, 2018
Medical Image Anal., 2018
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Towards Automatic Report Generation in Spine Radiology Using Weakly Supervised Framework.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
2017
Corrigendum to "Hierarchical retinal blood vessel segmentation based on feature and ensemble learning" [Neurocomputing 149 (2015) 708-717].
Neurocomputing, 2017
Choroid segmentation from Optical Coherence Tomography with graph-edge weights learned from deep convolutional neural networks.
Neurocomputing, 2017
A Selective Ensemble Classification Method Combining Mammography Images with Ultrasound Images for Breast Cancer Diagnosis.
Comput. Math. Methods Medicine, 2017
2015
Hierarchical retinal blood vessel segmentation based on feature and ensemble learning.
Neurocomputing, 2015
Measuring sparse temporal-variation for accurate registration of dynamic contrast-enhanced breast MR images.
Comput. Medical Imaging Graph., 2015
2014
A New Multistage Medical Segmentation Method Based on Superpixel and Fuzzy Clustering.
Comput. Math. Methods Medicine, 2014
Proceedings of the 7th International Conference on Biomedical Engineering and Informatics, 2014
2011
J. Multim., 2011
2010
Proceedings of the Seventh International Conference on Fuzzy Systems and Knowledge Discovery, 2010
2008
Proceedings of the Fourth International Conference on Natural Computation, 2008
Proceedings of the Fourth International Conference on Natural Computation, 2008