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Suggestive Annotation of Brain Tumour Images with Gradient-guided Sampling


Jul 03, 2020
Chengliang Dai, Shuo Wang, Yuanhan Mo, Kaichen Zhou, Elsa Angelini, Yike Guo, Wenjia Bai

* Paper accepted by MICCAI 2020 

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Deep Generative Model-based Quality Control for Cardiac MRI Segmentation


Jun 23, 2020
Shuo Wang, Giacomo Tarroni, Chen Qin, Yuanhan Mo, Chengliang Dai, Chen Chen, Ben Glocker, Yike Guo, Daniel Rueckert, Wenjia Bai

* The paper is accepted to MICCAI 2020 

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Efficient Deep Representation Learning by Adaptive Latent Space Sampling


Apr 12, 2020
Yuanhan Mo, Shuo Wang, Chengliang Dai, Rui Zhou, Zhongzhao Teng, Wenjia Bai, Yike Guo


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Automatic Brain Tumour Segmentation and Biophysics-Guided Survival Prediction


Nov 19, 2019
Shuo Wang, Chengliang Dai, Yuanhan Mo, Elsa Angelini, Yike Guo, Wenjia Bai

* MICCAI BraTS 2019 Challenge 

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Unsupervised Annotation of Phenotypic Abnormalities via Semantic Latent Representations on Electronic Health Records


Nov 10, 2019
Jingqing Zhang, Xiaoyu Zhang, Kai Sun, Xian Yang, Chengliang Dai, Yike Guo

* Accepted by BIBM 2019 (Regular) 

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Transfer Learning from Partial Annotations for Whole Brain Segmentation


Aug 28, 2019
Chengliang Dai, Yuanhan Mo, Elsa Angelini, Yike Guo, Wenjia Bai


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Integrated Multi-omics Analysis Using Variational Autoencoders: Application to Pan-cancer Classification


Aug 17, 2019
Xiaoyu Zhang, Jingqing Zhang, Kai Sun, Xian Yang, Chengliang Dai, Yike Guo

* 7 pages, 4 figures 

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