Modular machine learning for Alzheimer's disease classification from retinal vasculature von Tian, Jianqiao, Smith, Glenn, Guo, Han, Liu, Boya, Pan, Zehua, Wang, Zijie, Xiong, Shuangyu, Fang, Ruogu

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Automatic Choroid Layer Segmentation from Optical Coherence Tomography Images Using Deep Learning von Masood, Saleha, Fang, Ruogu, Li, Ping, Li, Huating, Sheng, Bin, Mathavan, Akash, Wang, Xiangning, Yang, Po, Wu, Qiang, Qin, Jing, Jia, Weiping

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Emergence of Emotion Selectivity in Deep Neural Networks Trained to Recognize Visual Objects von Liu, Peng, Bo, Ke, Ding, Mingzhou, Fang, Ruogu

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Editorial: Frontiers of women in brain imaging and brain stimulation von Fang, Ruogu, Bai, Lijun, Li, Wen

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DeepDynaForecast: Phylogenetic-informed graph deep learning for epidemic transmission dynamic prediction von Sun, Chaoyue, Fang, Ruogu, Salemi, Marco, Prosperi, Mattia, Rife Magalis, Brittany

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Low-rise gable roof buildings pressure prediction using deep neural networks von Tian, Jianqiao, Gurley, Kurtis R., Diaz, Maximillian T., Fernández-Cabán, Pedro L., Masters, Forrest J., Fang, Ruogu

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Deep learning predicts prevalent and incident Parkinson’s disease from UK Biobank fundus imaging von Tran, Charlie, Shen, Kai, Liu, Kang, Ashok, Akshay, Ramirez-Zamora, Adolfo, Chen, Jinghua, Li, Yulin, Fang, Ruogu

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173-OR: Associations between Post-Discharge Care (PDC) and Cognitive Impairment-Related Hospital Readmissions for Ketoacidosis and Severe Hypoglycemia in Adults with Diabetes von WANG, YEHUA, ZHANG, PING, FANG, RUOGU R., BROWN, JOSHUA D., JIAO, TIANZE, GUO, JINGCHUAN, SHAO, HUI

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893-P: Incremental Health Care Utilizations and Medical Expenditures Associated with Cognitive Impairment among Older Adults with Diabetes von GUAN, DAWEI, ZHANG, PING, TANG, SHICHAO, BROWN, JOSHUA D., FANG, RUOGU R., GUO, JINGCHUAN, ZHANG, YONGKANG, SHAO, HUI

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Neuron-level explainable AI for Alzheimer’s Disease assessment from fundus images von Yousefzadeh, Nooshin, Tran, Charlie, Ramirez-Zamora, Adolfo, Chen, Jinghua, Fang, Ruogu, Thai, My T.

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A survey on medical image analysis in diabetic retinopathy von Stolte, Skylar, Fang, Ruogu

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Robust Low-Dose CT Perfusion Deconvolution via Tensor Total-Variation Regularization von Ruogu Fang, Shaoting Zhang, Tsuhan Chen, Sanelli, Pina C.

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Towards computational models of kinship verification von Ruogu Fang, Tang, Kevin D, Snavely, Noah, Tsuhan Chen

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Unraveling somatotopic organization in the human brain using machine learning and adaptive supervoxel-based parcellations von See, Kyle B., Arpin, David J., Vaillancourt, David E., Fang, Ruogu, Coombes, Stephen A.

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Machine learning and individual variability in electric field characteristics predict tDCS treatment response von Albizu, Alejandro, Fang, Ruogu, Indahlastari, Aprinda, O’Shea, Andrew, Stolte, Skylar E., See, Kyle B., Boutzoukas, Emanuel M., Kraft, Jessica N., Nissim, Nicole R., Woods, Adam J.

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Machine-learning defined precision tDCS for improving cognitive function von Albizu, Alejandro, Indahlastari, Aprinda, Huang, Ziqian, Waner, Jori, Stolte, Skylar E., Fang, Ruogu, Woods, Adam J.

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Identify diabetic retinopathy-related clinical concepts and their attributes using transformer-based natural language processing methods von Yu, Zehao, Yang, Xi, Sweeting, Gianna L, Ma, Yinghan, Stolte, Skylar E, Fang, Ruogu, Wu, Yonghui

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STIR-Net : Deep Spatial-Temporal Image Restoration Net for Radiation Reduction in CT Perfusion von Xiao, Yao, Liu, Peng, Liang, Yun, Stolte, Skylar, Sanelli, Pina, Gupta, Ajay, Ivanidze, Jana, Fang, Ruogu

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66361 TL1 Team Approach to Predicting Response to Spinal Cord Stimulation for Chronic Low Back Pain von See, Kyle, Ho, Rachel, Coombes, Stephen, Fang, Ruogu

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Development and validation of the automated imaging differentiation in parkinsonism (AID-P): a multicentre machine learning study von Archer, Derek B, Bricker, Justin T, Chu, Winston T, Burciu, Roxana G, McCracken, Johanna L, Lai, Song, Coombes, Stephen A, Fang, Ruogu, Barmpoutis, Angelos, Corcos, Daniel M, Kurani, Ajay S, Mitchell, Trina, Black, Mieniecia L, Herschel, Ellen, Simuni, Tanya, Parrish, Todd B, Comella, Cynthia, Xie, Tao, Seppi, Klaus, Bohnen, Nicolaas I, Müller, Martijn Ltm, Albin, Roger L, Krismer, Florian, Du, Guangwei, Lewis, Mechelle M, Huang, Xuemei, Li, Hong, Pasternak, Ofer, McFarland, Nikolaus R, Okun, Michael S, Vaillancourt, David E

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