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Comparison of feature representations in MRI-based MCI-to-AD conversion prediction
Gómez-Sancho, Marta, Tohka, Jussi, Gómez-Verdejo, Vanessa
Published in Magnetic resonance imaging (01.07.2018)
Published in Magnetic resonance imaging (01.07.2018)
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Sparse learning and stability selection for predicting MCI to AD conversion using baseline ADNI data
Ye, Jieping, Farnum, Michael, Yang, Eric, Verbeeck, Rudi, Lobanov, Victor, Raghavan, Nandini, Novak, Gerald, DiBernardo, Allitia, Narayan, Vaibhav A
Published in BMC neurology (25.06.2012)
Published in BMC neurology (25.06.2012)
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A deep CNN‐based approach for predicting MCI to AD conversion
Casti, Paola, Giovannetti, Antonio, Susi, Gianluca, Mencattini, Arianna, Pusil, Sandra Angelica, García, María Eugenia López, Natale, Corrado Di, Martinelli, Eugenio
Published in Alzheimer's & dementia (01.12.2020)
Published in Alzheimer's & dementia (01.12.2020)
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Early Detection of Alzheimer’s Disease Using Magnetic Resonance Imaging: A Novel Approach Combining Convolutional Neural Networks and Ensemble Learning
Pan, Dan, Zeng, An, Jia, Longfei, Huang, Yin, Frizzell, Tory, Song, Xiaowei
Published in Frontiers in neuroscience (13.05.2020)
Published in Frontiers in neuroscience (13.05.2020)
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Semi-supervised learning in MCI-to-ad conversion prediction - When is unlabeled data useful?
Moradi, Elaheh, Tohka, Jussi, Gaser, Christian
Published in 2014 International Workshop on Pattern Recognition in Neuroimaging (01.06.2014)
Published in 2014 International Workshop on Pattern Recognition in Neuroimaging (01.06.2014)
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Machine learning framework for early MRI-based Alzheimer's conversion prediction in MCI subjects
Moradi, Elaheh, Pepe, Antonietta, Gaser, Christian, Huttunen, Heikki, Tohka, Jussi
Published in NeuroImage (Orlando, Fla.) (01.01.2015)
Published in NeuroImage (Orlando, Fla.) (01.01.2015)
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A Novel Grading Biomarker for the Prediction of Conversion From Mild Cognitive Impairment to Alzheimer's Disease
Tong, Tong, Gao, Qinquan, Guerrero, Ricardo, Ledig, Christian, Chen, Liang, Rueckert, Daniel, Initiative, Alzheimer's Disease Neuroimaging
Published in IEEE transactions on biomedical engineering (01.01.2017)
Published in IEEE transactions on biomedical engineering (01.01.2017)
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Prognosis prediction model for conversion from mild cognitive impairment to Alzheimer’s disease created by integrative analysis of multi-omics data
Shigemizu, Daichi, Akiyama, Shintaro, Higaki, Sayuri, Sugimoto, Taiki, Sakurai, Takashi, Boroevich, Keith A., Sharma, Alok, Tsunoda, Tatsuhiko, Ochiya, Takahiro, Niida, Shumpei, Ozaki, Kouichi
Published in Alzheimer's research & therapy (10.11.2020)
Published in Alzheimer's research & therapy (10.11.2020)
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Robust Discovery of Mild Cognitive Impairment Subtypes and Their Risk of Alzheimer's Disease Conversion Using Unsupervised Machine Learning and Gaussian Mixture Modeling
Nezhadmoghadam, Fahimeh, Martinez-Torteya, Antonio, Treviño, Victor, Martínez, Emmanuel, Santos, Alejandro, Tamez-Peña, Jose, Alzheimer's Disease Neuroimaging Initiative
Published in Current Alzheimer research (01.01.2021)
Published in Current Alzheimer research (01.01.2021)
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Convolutional Neural Networks-Based MRI Image Analysis for the Alzheimer’s Disease Prediction From Mild Cognitive Impairment
Lin, Weiming, Tong, Tong, Gao, Qinquan, Guo, Di, Du, Xiaofeng, Yang, Yonggui, Guo, Gang, Xiao, Min, Du, Min, Qu, Xiaobo
Published in Frontiers in neuroscience (05.11.2018)
Published in Frontiers in neuroscience (05.11.2018)
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The heterogeneity among subgroups of haplogroup J influencing Alzheimer’s disease risk
Liu, HaoChen, Zhang, Yixuan, Zhao, Huimin, Du, Yanan, Liu, XiaoQuan
Published in Journal of advanced research (01.11.2021)
Published in Journal of advanced research (01.11.2021)
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