Jun Wang

Orcid: 0000-0001-9115-3755

Affiliations:
  • Zhejiang University, Institute of Translational Medicine, Hangzhou, China


According to our database1, Jun Wang authored at least 12 papers between 2019 and 2024.

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

Timeline

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Bibliography

2024
A Simple Normalization Technique Using Window Statistics to Improve the Out-of-Distribution Generalization on Medical Images.
IEEE Trans. Medical Imaging, June, 2024

Skeleton-Guided Instance Separation for Fine-Grained Segmentation in Microscopy.
CoRR, 2024

2023
Chromosome Detection in Metaphase Cell Images Using Morphological Priors.
IEEE J. Biomed. Health Informatics, September, 2023

AutoKary2022: A Large-Scale Densely Annotated Dateset for Chromosome Instance Segmentation.
CoRR, 2023

AutoKary2022: A Large-Scale Densely Annotated Dataset for Chromosome Instance Segmentation.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

2022
Deep reconstruction-recoding network for unsupervised domain adaptation and multi-center generalization in colonoscopy polyp detection.
Comput. Methods Programs Biomed., 2022

2021
iCOVID: interpretable deep learning framework for early recovery-time prediction of COVID-19 patients.
npj Digit. Medicine, 2021

Real-time automatic polyp detection in colonoscopy using feature enhancement module and spatiotemporal similarity correlation unit.
Biomed. Signal Process. Control., 2021

Self-adaptive Transfer Learning for Multicenter Glaucoma Classification in Fundus Retina Images.
Proceedings of the Ophthalmic Medical Image Analysis - 8th International Workshop, 2021

C3D-UNET: A Comprehensive 3D Unet for Covid-19 Segmentation with Intact Encoding and Local Attention.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020
Prior-Attention Residual Learning for More Discriminative COVID-19 Screening in CT Images.
IEEE Trans. Medical Imaging, 2020

2019
Pulmonary Nodule Detection in Volumetric Chest CT Scans Using CNNs-Based Nodule-Size-Adaptive Detection and Classification.
IEEE Access, 2019


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