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BEFD: Boundary Enhancement and Feature Denoising for Vessel Segmentation


Apr 08, 2021
Mo Zhang, Fei Yu, Jie Zhao, Li Zhang, Quanzheng Li

* MICCAI 2020 

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Development and Validation of a Deep Learning Model for Prediction of Severe Outcomes in Suspected COVID-19 Infection


Mar 29, 2021
Varun Buch, Aoxiao Zhong, Xiang Li, Marcio Aloisio Bezerra Cavalcanti Rockenbach, Dufan Wu, Hui Ren, Jiahui Guan, Andrew Liteplo, Sayon Dutta, Ittai Dayan, Quanzheng Li

* Varun Buch, Aoxiao Zhong and Xiang Li contribute equally to this work 

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MS-GWNN:multi-scale graph wavelet neural network for breast cancer diagnosis


Dec 29, 2020
Mo Zhang, Quanzheng Li


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IFGAN: Missing Value Imputation using Feature-specific Generative Adversarial Networks


Dec 23, 2020
Wei Qiu, Yangsibo Huang, Quanzheng Li

* Wei Qiu and Yangsibo Huang contribute equally to this work 

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A General Computational Framework to Measure the Expressiveness of Complex Networks Using a Tighter Upper Bound of Linear Regions


Dec 08, 2020
Yutong Xie, Gaoxiang Chen, Quanzheng Li


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Deep Metric Learning-based Image Retrieval System for Chest Radiograph and its Clinical Applications in COVID-19


Nov 26, 2020
Aoxiao Zhong, Xiang Li, Dufan Wu, Hui Ren, Kyungsang Kim, Younggon Kim, Varun Buch, Nir Neumark, Bernardo Bizzo, Won Young Tak, Soo Young Park, Yu Rim Lee, Min Kyu Kang, Jung Gil Park, Byung Seok Kim, Woo Jin Chung, Ning Guo, Ittai Dayan, Mannudeep K. Kalra, Quanzheng Li

* Aoxiao Zhong and Xiang Li contribute equally to this work 

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Deep Learning-based Four-region Lung Segmentation in Chest Radiography for COVID-19 Diagnosis


Sep 26, 2020
Young-Gon Kim, Kyungsang Kim, Dufan Wu, Hui Ren, Won Young Tak, Soo Young Park, Yu Rim Lee, Min Kyu Kang, Jung Gil Park, Byung Seok Kim, Woo Jin Chung, Mannudeep K. Kalra, Quanzheng Li


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Super Resolution of Arterial Spin Labeling MR Imaging Using Unsupervised Multi-Scale Generative Adversarial Network


Sep 14, 2020
Jianan Cui, Kuang Gong, Paul Han, Huafeng Liu, Quanzheng Li

* Accepted to 2020 MICCAI MLMI workshop 

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Clinically Translatable Direct Patlak Reconstruction from Dynamic PET with Motion Correction Using Convolutional Neural Network


Sep 13, 2020
Nuobei Xie, Kuang Gong, Ning Guo, Zhixing Qin, Jianan Cui, Zhifang Wu, Huafeng Liu, Quanzheng Li

* Accepted to MICCAI 2020 

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Deep Learning Based Detection and Localization of Cerebal Aneurysms in Computed Tomography Angiography


May 22, 2020
Ziheng Duan, Daniel Montes, Yangsibo Huang, Dufan Wu, Javier M. Romero, Ramon Gilberto Gonzalez, Quanzheng Li


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Self-supervised Dynamic CT Perfusion Image Denoising with Deep Neural Networks


May 19, 2020
Dufan Wu, Hui Ren, Quanzheng Li

* 13 pages, 9 figures 

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A Graph Gaussian Embedding Method for Predicting Alzheimer's Disease Progression with MEG Brain Networks


May 08, 2020
Mengjia Xu, David Lopez Sanz, Pilar Garces, Fernando Maestu, Quanzheng Li, Dimitrios Pantazis


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Penalized-likelihood PET Image Reconstruction Using 3D Structural Convolutional Sparse Coding


Dec 16, 2019
Nuobei Xie, Kuang Gong, Ning Guo, Zhixin Qin, Zhifang Wu, Huafeng Liu, Quanzheng Li

* 11 pages, 12 figures 

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Multi-label Detection and Classification of Red Blood Cells in Microscopic Images


Oct 07, 2019
Wei Qiu, Jiaming Guo, Xiang Li, Mengjia Xu, Mo Zhang, Ning Guo, Quanzheng Li

* Wei Qiu, Jiaming Guo and Xiang Li contributed equally 

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Predicting Alzheimer's Disease by Hierarchical Graph Convolution from Positron Emission Tomography Imaging


Oct 01, 2019
Jiaming Guo, Wei Qiu, Xiang Li, Xuandong Zhao, Ning Guo, Quanzheng Li

* Jiaming Guo, Wei Qiu and Xiang Li contribute equally to this work 

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Annotation-Free Cardiac Vessel Segmentation via Knowledge Transfer from Retinal Images


Jul 26, 2019
Fei Yu, Jie Zhao, Yanjun Gong, Zhi Wang, Yuxi Li, Fan Yang, Bin Dong, Quanzheng Li, Li Zhang

* Accepted at MICCAI 2019 

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ASCNet: Adaptive-Scale Convolutional Neural Networks for Multi-Scale Feature Learning


Jul 07, 2019
Mo Zhang, Jie Zhao, Xiang Li, Li Zhang, Quanzheng Li


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Consensus Neural Network for Medical Imaging Denoising with Only Noisy Training Samples


Jun 09, 2019
Dufan Wu, Kuang Gong, Kyungsang Kim, Quanzheng Li

* 9 pages, 2 figures, accepted by MICCAI 2019 

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Automated Segmentation of Cervical Nuclei in Pap Smear Images using Deformable Multi-path Ensemble Model


Dec 03, 2018
Jie Zhao, Quanzheng Li, Hongfeng Li, Li Zhang


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End-to-end Lung Nodule Detection in Computed Tomography


Oct 02, 2018
Dufan Wu, Kyungsang Kim, Bin Dong, Georges El Fakhri, Quanzheng Li

* published at MLMI 2018 

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Network Modeling and Pathway Inference from Incomplete Data ("PathInf")


Oct 01, 2018
Xiang Li, Qitian Chen, Xing Wang, Ning Guo, Nan Wu, Quanzheng Li

* Xiang Li, Qitian Che and Xing Wang contribute equally to this work 

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Modeling 4D fMRI Data via Spatio-Temporal Convolutional Neural Networks (ST-CNN)


Aug 06, 2018
Yu Zhao, Xiang Li, Wei Zhang, Shijie Zhao, Milad Makkie, Mo Zhang, Quanzheng Li, Tianming Liu

* Yu Zhao and Xiang Li contribute equally to this work 

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Multi-Estimator Full Left Ventricle Quantification through Ensemble Learning


Aug 06, 2018
Jiasha Liu, Xiang Li, Hui Ren, Quanzheng Li

* Jiasha Liu, Xiang Li and Hui Ren contribute equally to this work 

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Learning Personalized Representation for Inverse Problems in Medical Imaging Using Deep Neural Network


Jul 04, 2018
Kuang Gong, Kyungsang Kim, Jianan Cui, Ning Guo, Ciprian Catana, Jinyi Qi, Quanzheng Li

* 11 pages, 7 figures 

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Attenuation correction for brain PET imaging using deep neural network based on dixon and ZTE MR images


May 24, 2018
Kuang Gong, Jaewon Yang, Kyungsang Kim, Georges El Fakhri, Youngho Seo, Quanzheng Li

* 15 pages, 12 figures 

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Medical Image Segmentation Based on Multi-Modal Convolutional Neural Network: Study on Image Fusion Schemes


Nov 02, 2017
Zhe Guo, Xiang Li, Heng Huang, Ning Guo, Quanzheng Li

* 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018), Washington, DC, 2018, pp. 903-907 
* Zhe Guo and Xiang Li contribute equally to this work 

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Beyond Finite Layer Neural Networks: Bridging Deep Architectures and Numerical Differential Equations


Nov 01, 2017
Yiping Lu, Aoxiao Zhong, Quanzheng Li, Bin Dong


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Image Segmentation and Classification for Sickle Cell Disease using Deformable U-Net


Oct 29, 2017
Mo Zhang, Xiang Li, Mengjia Xu, Quanzheng Li


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Iterative PET Image Reconstruction Using Convolutional Neural Network Representation


Oct 09, 2017
Kuang Gong, Jiahui Guan, Kyungsang Kim, Xuezhu Zhang, Georges El Fakhri, Jinyi Qi, Quanzheng Li


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A Cascaded Convolutional Neural Network for X-ray Low-dose CT Image Denoising


Aug 28, 2017
Dufan Wu, Kyungsang Kim, Georges El Fakhri, Quanzheng Li

* 9 pages, 9 figures 

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