Author

Hongda Jiang

East China University of Science and TechnologyORCID 0000-0002-0296-4431Unclaimed ORCID profile · follow to get notified of new preprints

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Hongda Jiang1 paper · Northeastern University

Biology Disciplines

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Bioinformatics· 2 Bioengineering· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 3 Assay:imaging· 3 Approach:deep learning· 2 Organism:human· 2 Research Focus:clustering· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Junyan WuiD· 3 shared Ruichen RongiD· 3 shared Eric Z. CheniD· 2 shared Xu Dong· 2 shared Dong XuiD· 1 shared Eric Z Chen· 1 shared Xiaoxiao LiiD· 1 shared Xiaoxiao LiiD· 1 shared

Activity by Year

2018-2018 · peak 3/yr

Co-Author Collaboration Network

9 top collaborators · 24 mutual co-author links

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3 shared papersBioinformatics

Junyan WuORCID

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3 papers

Recent·Most cited

BioinformaticsbioRxivPreprintSep 10, 2018

Lesion Attributes Segmentation for Melanoma Detection with Deep Learning

Eric Z. Chen, Xu Dong, Junyan Wu…·Ruichen Rong

The paper presents two deep learning models for detecting melanoma lesion attributes using dermoscopic images, achieving a Jaccard index of 0.433 on test data.

6 citations

BioinformaticsbioRxivPreprintAug 1, 2018

Skin Lesion Classification Via Combining Deep Learning Features and Clinical Criteria Representations

Xiaoxiao Li, Junyan Wu, Hongda Jiang…·Ruichen Rong

This paper proposes a two-stage method combining deep learning features and clinical criteria for automated skin lesion classification, achieving promising accuracy on the ISIC 2018 dataset.

34 citations

BioengineeringbioRxivPreprintAug 1, 2018

Skin Lesion Segmentation with Improved C-UNet Networks

Hongda Jiang, Ruichen Rong, Junyan Wu…·Eric Z Chen

The paper improves the C-UNet network for skin lesion segmentation, achieving an average Jaccard Index of 0.77 on the online validation dataset.

DOI 10.1101/382549

imagingdeep learning