Benzheng Wei

Orcid: 0000-0001-9640-4947

According to our database1, Benzheng Wei authored at least 41 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2024
Modeling default mode network patterns via a universal spatio-temporal brain attention skip network.
NeuroImage, February, 2024

DBPNDNet: dual-branch networks using 3DCNN toward pulmonary nodule detection.
Medical Biol. Eng. Comput., February, 2024

2023
Neighborhood-based credibility anchor learning for universal domain adaptation.
Pattern Recognit., October, 2023

Weakly supervised semantic segmentation for skin cancer via CNN superpixel region response.
Multim. Tools Appl., February, 2023

Abductive subconcept learning.
Sci. China Inf. Sci., February, 2023

Semi-Cycled Generative Adversarial Networks for Real-World Face Super-Resolution.
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
Multi-scale brain tumor segmentation combined with deep supervision.
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

NLHD: A Pixel-Level Non-Local Retinex Model for Low-Light Image Enhancement.
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

Recursive narrative alignment for movie narrating.
Sci. China Inf. Sci., 2020

Direct estimation of left ventricular ejection fraction via a cardiac cycle feature learning architecture.
Comput. Biol. Medicine, 2020

S<sup>3</sup>egANet: 3D Spinal Structures Segmentation via Adversarial Nets.
IEEE Access, 2020

MwoA auxiliary diagnosis using 3D convolutional neural network.
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

Spine-GAN: Semantic segmentation of multiple spinal structures.
Medical Image Anal., 2018

Deep Random Walk for Drusen Segmentation from Fundus Images.
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

Optic disc detection based on classification for retinal image.
Proceedings of the 7th International Conference on Biomedical Engineering and Informatics, 2014

2011
Spatial Information Based Medical Image Registration using Mutual Information.
J. Multim., 2011

2010
An efficient medical image registration method based on mutual information model.
Proceedings of the Seventh International Conference on Fuzzy Systems and Knowledge Discovery, 2010

2008
SSART Being Applied to Approaching Accurate Values of High Frequency Field.
Proceedings of the Fourth International Conference on Natural Computation, 2008

An Improved PSO Algorithm Based Multimodality Medical Image Automatic Registration.
Proceedings of the Fourth International Conference on Natural Computation, 2008


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