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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
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Posts
Future Blog Post
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Blog Post number 4
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
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Blog Post number 2
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Blog Post number 1
Published:
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competitions
portfolio
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Portfolio item number 2
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publications
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
talks
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.