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Artificial Intelligence for Medical Image Analysis of Neuroimaging Data ARTIFICIAL INTELLIGENCE FOR MEDICAL IMAGE ANALYSIS OF NEUROIMAGING DATA EDITED BY : Nianyin Zeng, Siyang Zuo, Guoyan Zheng, Yangming Ou and Tong Tong PUBLISHED IN : Frontiers in Neuroscience, Frontiers in Computational Neuroscience and Frontiers in Psychiatry Frontiers eBook Copyright Statement About Frontiers The copyright in the text of individual articles in this eBook is the Frontiers is more than just an open-access publisher of scholarly articles: it is a property of their respective authors or their respective institutions or pioneering approach to the world of academia, radically improving the way scholarly funders. The copyright in graphics research is managed. The grand vision of Frontiers is a world where all people have and images within each article may be subject to copyright of other an equal opportunity to seek, share and generate knowledge. Frontiers provides parties. 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All copyright, and all rights therein, What are Frontiers Research Topics? are protected by national and Frontiers Research Topics are very popular trademarks of the Frontiers Journals international copyright laws. The above represents a summary only. Series: they are collections of at least ten articles, all centered on a particular subject. For further information please read With their unique mix of varied contributions from Original Research to Review Frontiers’ Conditions for Website Use and Copyright Statement, and Articles, Frontiers Research Topics unify the most influential researchers, the latest the applicable CC-BY licence. key findings and historical advances in a hot research area! Find out more on how ISSN 1664-8714 to host your own Frontiers Research Topic or contribute to one as an author by ISBN 978-2-88963-826-0 DOI 10.3389/978-2-88963-826-0 contacting the Frontiers Editorial Office: [email protected] Frontiers in Neuroscience 1 July 2020 | Artificial Intelligence for Medical Image ARTIFICIAL INTELLIGENCE FOR MEDICAL IMAGE ANALYSIS OF NEUROIMAGING DATA Topic Editors: Nianyin Zeng, Xiamen University, China Siyang Zuo, Tianjin University, China Guoyan Zheng, Shanghai Jiao Tong University, China Yangming Ou, Harvard Medical School, United States Tong Tong, Independent researcher, China Citation: Zeng, N., Zuo, S., Zheng, G., Ou, Y., Tong, T., eds. (2020). Artificial Intelligence for Medical Image Analysis of NeuroImaging Data. Lausanne: Frontiers Media SA. doi: 10.3389/978-2-88963-826-0 Frontiers in Neuroscience 2 July 2020 | Artificial Intelligence for Medical Image Table of Contents 05 Editorial: Artificial Intelligence for Medical Image Analysis of Neuroimaging Data Nianyin Zeng, Siyang Zuo, Guoyan Zheng, Yangming Ou and Tong Tong 07 Cerebral Micro-Bleeding Detection Based on Densely Connected Neural Network Shuihua Wang, Chaosheng Tang, Junding Sun and Yudong Zhang 18 Alcoholism Identification Based on an AlexNet Transfer Learning Model Shui-Hua Wang, Shipeng Xie, Xianqing Chen, David S. Guttery, Chaosheng Tang, Junding Sun and Yu-Dong Zhang 31 A Fully Automatic Framework for Parkinson’s Disease Diagnosis by Multi-Modality Images Jiahang Xu, Fangyang Jiao, Yechong Huang, Xinzhe Luo, Qian Xu, Ling Li, Xueling Liu, Chuantao Zuo, Ping Wu and Xiahai Zhuang 40 Brain White Matter Hyperintensity Lesion Characterization in T2 Fluid-Attenuated Inversion Recovery Magnetic Resonance Images: Shape, Texture, and Potential Growth Chih-Ying Gwo, David C. Zhu and Rong Zhang 55 Nested Dilation Networks for Brain Tumor Segmentation Based on Magnetic Resonance Imaging Liansheng Wang, Shuxin Wang, Rongzhen Chen, Xiaobo Qu, Yiping Chen, Shaohui Huang and Changhua Liu 69 Diagnosis of Alzheimer’s Disease via Multi-Modality 3D Convolutional Neural Network Yechong Huang, Jiahang Xu, Yuncheng Zhou, Tong Tong, Xiahai Zhuang and the Alzheimer’s Disease Neuroimaging Initiative (ADNI) 81 Supervised Brain Tumor Segmentation Based on Gradient and Context-Sensitive Features Junting Zhao, Zhaopeng Meng, Leyi Wei, Changming Sun, Quan Zou and Ran Su 92 Prediction and Classification of Alzheimer’s Disease Based on Combined Features From Apolipoprotein-E Genotype, Cerebrospinal Fluid, MR, and FDG-PET Imaging Biomarkers Yubraj Gupta, Ramesh Kumar Lama, Goo-Rak Kwon and the Alzheimer’s Disease Neuroimaging Initiative 110 Diagnosis of Brain Diseases via Multi-Scale Time-Series Model Zehua Zhang, Junhai Xu, Jijun Tang, Quan Zou and Fei Guo 118 Low-Rank Based Image Analyses for Pathological MR Image Segmentation and Recovery Chuanlu Lin, Yi Wang, Tianfu Wang and Dong Ni 129 Improved Wavelet Threshold for Image De-noising Yang Zhang, Weifeng Ding, Zhifang Pan and Jing Qin 136 Brain Differences Between Men and Women: Evidence From Deep Learning Jiang Xin, Yaoxue Zhang, Yan Tang and Yuan Yang Frontiers in Neuroscience 3 July 2020 | Artificial Intelligence for Medical Image 146 A New Pulse Coupled Neural Network (PCNN) for Brain Medical Image Fusion Empowered by Shuffled Frog Leaping Algorithm Chenxi Huang, Ganxun Tian, Yisha Lan, Yonghong Peng, E. Y. K. Ng, Yongtao Hao, Yongqiang Cheng and Wenliang Che 156 Multiple Sclerosis Identification by 14-Layer Convolutional Neural Network With Batch Normalization, Dropout, and Stochastic Pooling Shui-Hua Wang, Chaosheng Tang, Junding Sun, Jingyuan Yang, Chenxi Huang, Preetha Phillips and Yu-Dong Zhang 167 A U-Net Deep Learning Framework for High Performance Vessel Segmentation in Patients With Cerebrovascular Disease Michelle Livne, Jana Rieger, Orhun Utku Aydin, Abdel Aziz Taha, Ela Marie Akay, Tabea Kossen, Jan Sobesky, John D. Kelleher, Kristian Hildebrand, Dietmar Frey and Vince I. Madai 180 Deep Learning Based Attenuation Correction of PET/MRI in Pediatric Brain Tumor Patients: Evaluation in a Clinical Setting Claes Nøhr Ladefoged, Lisbeth Marner, Amalie Hindsholm, Ian Law, Liselotte Højgaard and Flemming Littrup Andersen 189 Analysis of Progression Toward Alzheimer’s Disease Based on Evolutionary Weighted Random Support Vector Machine Cluster Xia-an Bi, Qian Xu, Xianhao Luo, Qi Sun and Zhigang Wang 200 Topological Properties of Resting-State fMRI Functional Networks Improve Machine Learning-Based Autism Classification Amirali Kazeminejad and Roberto C. Sotero 210 Convolutional Neural Networks-Based MRI Image Analysis for the Alzheimer’s Disease Prediction From Mild Cognitive Impairment Weiming Lin, Tong Tong, Qinquan Gao, Di Guo, Xiaofeng Du, Yonggui Yang, Gang Guo, Min Xiao, Min Du, Xiaobo Qu and The Alzheimer’s Disease Neuroimaging Initiative Frontiers in Neuroscience 4 July 2020 | Artificial Intelligence for Medical Image EDITORIAL published: 21 May 2020 doi: 10.3389/fnins.2020.00480 Editorial: Artificial Intelligence for Medical Image Analysis of Neuroimaging Data Nianyin Zeng 1*, Siyang Zuo 2, Guoyan Zheng 3, Yangming Ou 4 and Tong Tong 5 1 Department of Instrumental and Electrical Engineering, Xiamen University, Xiamen, China, 2 Key Laboratory of Mechanism Theory and Equipment Design, Ministry of Education, Tianjin University, Tianjin, China, 3
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