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Slice-propagated 3D Gastric Tumour Segmentation From A Single 2D Annotation

Published in ECR 2021 (Oral), 2021

To develop a deep learning model on 3D CT images to generate the volumetric segmentation of a gastric tumor from the annotation of its largest cross-section.

Recommended citation: Chen, ZiFan, et al. "Slice-propagated 3D Gastric Tumour Segmentation From A Single 2D Annotation." European Congress of Radiology (ECR) 2021. https://connect.myesr.org/course/ai-in-abdominal-imaging/

Composite Localization for Human Pose Estimation

Published in arXiv, 2021

This work proposes composite localization framework for human pose estimation by dividing the complex learning objective into two simpler ones.

Recommended citation: Chen, ZiFan, et al. "Composite Localization for Human Pose Estimation." arXiv preprint arXiv:2105.07245 (2021). https://arxiv.org/pdf/2105.07245.pdf

Multi-Scale Context-Guided Lumbar Spine Disease Identification with Coarse-to-fine Localization and Classification

Published in ISBI 2022 (Oral), 2022

This work introduces a multi-scale context-guided network with coarse-to-fine localization and classification, named CCF-Net, for lumbar spine disease identification.

Recommended citation: Chen, ZiFan, et al. "Multi-Scale Context-Guided Lumbar Spine Disease Identification with Coarse-to-fine Localization and Classification." arXiv preprint arXiv:2203.08408 (2022). https://ieeexplore.ieee.org/document/9761528

Feature Fusion for Segmentation and Classification of Skin Lesions

Published in ISBI 2022 (Poster), 2022

This work proposes a Combined-Learning Network (CLNet) consisting of a classification network, a segmentation network and a feature fusion module for segmentation and classification of skin lesion.

Recommended citation: coming soon coming soon