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A Macro-Micro Weakly-supervised Framework for AS-OCT Tissue Segmentation

Jul 20, 2020
Munan Ning, Cheng Bian, Donghuan Lu, Hong-Yu Zhou, Shuang Yu, Chenglang Yuan, Yang Guo, Yaohua Wang, Kai Ma, Yefeng Zheng

* MICCAI 2020 

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Deep Image Clustering with Category-Style Representation

Jul 20, 2020
Junjie Zhao, Donghuan Lu, Kai Ma, Yu Zhang, Yefeng Zheng

* Accepted at ECCV 2020. Project address: https://github.com/sKamiJ/DCCS 

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Quality Control of Neuron Reconstruction Based on Deep Learning

Mar 19, 2020
Donghuan Lu, Sujun Zhao, Peng Xie, Kai Ma, Lijuan Liu, Yefeng Zheng

* 9 pages, 2 figures 

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Cascaded Deep Neural Networks for Retinal Layer Segmentation of Optical Coherence Tomography with Fluid Presence

Dec 07, 2019
Donghuan Lu, Morgan Heisler, Da Ma, Setareh Dabiri, Sieun Lee, Gavin Weiguang Ding, Marinko V. Sarunic, Mirza Faisal Beg


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Development and validation of a novel dementia of Alzheimer's type (DAT) score based on metabolism FDG-PET imaging

Nov 02, 2017
Karteek Popuri, Rakesh Balachandar, Kathryn Alpert, Donghuan Lu, Mahadev Bhalla, Ian Mackenzie, Robin Ging-Yuek Hsiung, Lei Wang, Mirza Faisal Beg, the Alzhemier's Disease Neuroimaging Initiative


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Multimodal and Multiscale Deep Neural Networks for the Early Diagnosis of Alzheimer's Disease using structural MR and FDG-PET images

Oct 13, 2017
Donghuan Lu, Karteek Popuri, Weiguang Ding, Rakesh Balachandar, Mirza Faisal Beg

* 12 pages, 4 figures, Alzheimer's disease, deep learning, multimodal, early diagnosis, multiscale 

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Retinal Fluid Segmentation and Detection in Optical Coherence Tomography Images using Fully Convolutional Neural Network

Oct 13, 2017
Donghuan Lu, Morgan Heisler, Sieun Lee, Gavin Ding, Marinko V. Sarunic, Mirza Faisal Beg

* 9 pages, 5 figures, MICCAI Retinal OCT Fluid Challenge 2017 

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