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Self-Supervised Detection of Contextual Synonyms in a Multi-Class Setting: Phenotype Annotation Use Case


Sep 04, 2021
Jingqing Zhang, Luis Bolanos, Tong Li, Ashwani Tanwar, Guilherme Freire, Xian Yang, Julia Ive, Vibhor Gupta, Yike Guo

* EMNLP 2021 long paper accepted 

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Clinical Utility of the Automatic Phenotype Annotation in Unstructured Clinical Notes: ICU Use Cases


Jul 24, 2021
Jingqing Zhang, Luis Bolanos, Ashwani Tanwar, Albert Sokol, Julia Ive, Vibhor Gupta, Yike Guo

* Manuscript under review 

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Joint Motion Correction and Super Resolution for Cardiac Segmentation via Latent Optimisation


Jul 08, 2021
Shuo Wang, Chen Qin, Nicolo Savioli, Chen Chen, Declan O'Regan, Stuart Cook, Yike Guo, Daniel Rueckert, Wenjia Bai

* The paper is early accepted to MICCAI 2021. The codes are available at https://github.com/shuowang26/SRHeart 

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XOmiVAE: an interpretable deep learning model for cancer classification using high-dimensional omics data


May 26, 2021
Eloise Withnell, Xiaoyu Zhang, Kai Sun, Yike Guo

* 11 pages, 7 figures, 8 tables 

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Adversarial autoencoders and adversarial LSTM for improved forecasts of urban air pollution simulations


Apr 16, 2021
César Quilodrán-Casas, Rossella Arcucci, Laetitia Mottet, Yike Guo, Christopher Pain

* 8 pages; 3 figures; Published as a workshop paper at ICLR 2021 SimDL Workshop. arXiv admin note: text overlap with arXiv:2101.01568 

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MOAI: A methodology for evaluating the impact of indoor airflow in the transmission of COVID-19


Mar 31, 2021
Axel Oehmichen, Florian Guitton, Cedric Wahl, Bertrand Foing, Damian Tziamtzis, Yike Guo


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Product semantics translation from brain activity via adversarial learning


Mar 29, 2021
Pan Wang, Zhifeng Gong, Shuo Wang, Hao Dong, Jialu Fan, Ling Li, Peter Childs, Yike Guo


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Digital twins based on bidirectional LSTM and GAN for modelling COVID-19


Feb 03, 2021
César Quilodrán-Casas, Vinicius Santos Silva, Rossella Arcucci, Claire E. Heaney, Yike Guo, Christopher C. Pain

* 38 pages, 16 figures, 3 tables 

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OmiEmbed: reconstruct comprehensive phenotypic information from multi-omics data using multi-task deep learning


Feb 03, 2021
Xiaoyu Zhang, Kai Sun, Yike Guo

* 9 pages, 2 figures 

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Adversarially trained LSTMs on reduced order models of urban air pollution simulations


Jan 05, 2021
César Quilodrán-Casas, Rossella Arcucci, Christopher Pain, Yike Guo

* 6 pages, Third workshop on Machine LEarning and the Physical Sciences at NeurIPS 2020 

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Privacy Preservation in Federated Learning: Insights from the GDPR Perspective


Nov 13, 2020
Nguyen Truong, Kai Sun, Siyao Wang, Florian Guitton, Yike Guo

* 22 pages, 8 figures, 2 tables, submitted to Elsevier FGCS journal on November 2020 

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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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An Epidemiological Modelling Approach for Covid19 via Data Assimilation


Apr 25, 2020
Philip Nadler, Shuo Wang, Rossella Arcucci, Xian Yang, Yike Guo

* 8 pages 

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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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Regularizing Deep Multi-Task Networks using Orthogonal Gradients


Dec 14, 2019
Mihai Suteu, Yike Guo

* 11 pages, 5 figures 

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Biologically inspired architectures for sample-efficient deep reinforcement learning


Nov 25, 2019
Pierre H. Richemond, Arinbjörn Kolbeinsson, Yike Guo

* Deep Reinforcement Learning Workshop, NeurIPS 2019, Vancouver, Canada 

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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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Self-Supervised Learning for Cardiac MR Image Segmentation by Anatomical Position Prediction


Jul 05, 2019
Wenjia Bai, Chen Chen, Giacomo Tarroni, Jinming Duan, Florian Guitton, Steffen E. Petersen, Yike Guo, Paul M. Matthews, Daniel Rueckert

* Accepted by MICCAI 2019 

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Static Activation Function Normalization


May 03, 2019
Pierre H. Richemond, Yike Guo


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Integrating Semantic Knowledge to Tackle Zero-shot Text Classification


Mar 29, 2019
Jingqing Zhang, Piyawat Lertvittayakumjorn, Yike Guo

* Accepted NAACL-HLT 2019 

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Combining learning rate decay and weight decay with complexity gradient descent - Part I


Feb 07, 2019
Pierre H. Richemond, Yike Guo


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The Deep Poincaré Map: A Novel Approach for Left Ventricle Segmentation


Oct 30, 2018
Yuanhan Mo, Fangde Liu, Douglas McIlwraith, Guang Yang, Jingqing Zhang, Taigang He, Yike Guo

* MICCAI 2018 Spotlight 

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Deep Sequence Learning with Auxiliary Information for Traffic Prediction


Jun 13, 2018
Binbing Liao, Jingqing Zhang, Chao Wu, Douglas McIlwraith, Tong Chen, Shengwen Yang, Yike Guo, Fei Wu

* KDD 2018. The first two authors share equal contributions 

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