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Label-Efficient Self-Supervised Federated Learning for Tackling Data Heterogeneity in Medical Imaging



Rui Yan , Liangqiong Qu , Qingyue Wei , Shih-Cheng Huang , Liyue Shen , Daniel Rubin , Lei Xing , Yuyin Zhou

* Code and trained models are available at: https://github.com/rui-yan/SSL-FL 

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A collection of the accepted abstracts for the Machine Learning for Health (ML4H) symposium 2021



Fabian Falck , Yuyin Zhou , Emma Rocheteau , Liyue Shen , Luis Oala , Girmaw Abebe , Subhrajit Roy , Stephen Pfohl , Emily Alsentzer , Matthew B. A. McDermott


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Solving Inverse Problems in Medical Imaging with Score-Based Generative Models



Yang Song , Liyue Shen , Lei Xing , Stefano Ermon


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NeRP: Implicit Neural Representation Learning with Prior Embedding for Sparsely Sampled Image Reconstruction



Liyue Shen , John Pauly , Lei Xing


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A Geometry-Informed Deep Learning Framework for Ultra-Sparse 3D Tomographic Image Reconstruction



Liyue Shen , Wei Zhao , Dante Capaldi , John Pauly , Lei Xing


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Multi-Domain Image Completion for Random Missing Input Data



Liyue Shen , Wentao Zhu , Xiaosong Wang , Lei Xing , John M. Pauly , Baris Turkbey , Stephanie Anne Harmon , Thomas Hogue Sanford , Sherif Mehralivand , Peter Choyke , Bradford Wood , Daguang Xu


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A Mean-Field Theory for Kernel Alignment with Random Features in Generative Adversarial Networks



Masoud Badiei Khuzani , Liyue Shen , Shahin Shahrampour , Lei Xing

* 50 pages, 4 figures 

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Deep Learning with Attention to Predict Gestational Age of the Fetal Brain



Liyue Shen , Katie Shpanskaya , Edward Lee , Emily McKenna , Maryam Maleki , Quin Lu , Safwan Halabi , John Pauly , Kristen Yeom

* NIPS Machine Learning for Health Workshop 2018, spotlight presentation 

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Learning to Learn from Noisy Web Videos



Serena Yeung , Vignesh Ramanathan , Olga Russakovsky , Liyue Shen , Greg Mori , Li Fei-Fei

* To appear in CVPR 2017 

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Person Re-identification Meets Image Search



Liang Zheng , Liyue Shen , Lu Tian , Shengjin Wang , Jiahao Bu , Qi Tian


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