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Mortality Prediction with Adaptive Feature Importance Recalibration for Peritoneal Dialysis Patients: a deep-learning-based study on a real-world longitudinal follow-up dataset


Jan 17, 2023
Liantao Ma, Chaohe Zhang, Junyi Gao, Xianfeng Jiao, Zhihao Yu, Xinyu Ma, Yasha Wang, Wen Tang, Xinju Zhao, Wenjie Ruan, Tao Wang

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A Comprehensive Benchmark for COVID-19 Predictive Modeling Using Electronic Health Records in Intensive Care: Choosing the Best Model for COVID-19 Prognosis


Sep 16, 2022
Junyi Gao, Yinghao Zhu, Wenqing Wang, Yasha Wang, Wen Tang, Liantao Ma

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MMMNA-Net for Overall Survival Time Prediction of Brain Tumor Patients


Jun 13, 2022
Wen Tang, Haoyue Zhang, Pengxin Yu, Han Kang, Rongguo Zhang

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* Accepted EMBC 2022 

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RPLHR-CT Dataset and Transformer Baseline for Volumetric Super-Resolution from CT Scans


Jun 13, 2022
Pengxin Yu, Haoyue Zhang, Han Kang, Wen Tang, Corey W. Arnold, Rongguo Zhang

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* Accepted MICCAI 2022 

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Transformer Lesion Tracker


Jun 13, 2022
Wen Tang, Han Kang, Haoyue Zhang, Pengxin Yu, Corey W. Arnold, Rongguo Zhang

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* Accepted MICCAI 2022 

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MedFACT: Modeling Medical Feature Correlations in Patient Health Representation Learning via Feature Clustering


Apr 21, 2022
Xinyu Ma, Xu Chu, Yasha Wang, Hailong Yu, Liantao Ma, Wen Tang, Junfeng Zhao

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eProduct: A Million-Scale Visual Search Benchmark to Address Product Recognition Challenges


Jul 13, 2021
Jiangbo Yuan, An-Ti Chiang, Wen Tang, Antonio Haro

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* This paper was accepted at FGVC8 CVPR2021 as a competition paper (https://sites.google.com/view/fgvc8/papers

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De Re Updates


Jun 22, 2021
Michael Cohen, Wen Tang, Yanjing Wang

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* EPTCS 335, 2021, pp. 103-117 
* In Proceedings TARK 2021, arXiv:2106.10886 

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Deep Transform and Metric Learning Networks


Apr 21, 2021
Wen Tang, Emilie Chouzenoux, Jean-Christophe Pesquet, Hamid Krim

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* Accepted by ICASSP 2021. arXiv admin note: substantial text overlap with arXiv:2002.07898 

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CovidCare: Transferring Knowledge from Existing EMR to Emerging Epidemic for Interpretable Prognosis


Jul 17, 2020
Liantao Ma, Xinyu Ma, Junyi Gao, Chaohe Zhang, Zhihao Yu, Xianfeng Jiao, Wenjie Ruan, Yasha Wang, Wen Tang, Jiangtao Wang

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