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    A Simple Clinical Risk Score (C 2 HEST) for Predicting Incident Atrial Fibrillation in Asian Subjects: Derivation in 471,446 Chinese Subjects, With Internal Validation and External Application in 451,199 Korean Subjects
                                      
                                            Li, Yan-Guang,                              Pastori, Daniele,                              Farcomeni, Alessio,                              Yang, Pil-Sung,                              Jang, Eunsun,                              Joung, Boyoung,                              Wang, Yu-Tang,                              Guo, Yu-Tao,                              Lip, Gregory Y H                              
Published in Chest (01.03.2019)
                   
      
      
                                                  Published in Chest (01.03.2019)
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          Predicting dynamic, motion‐related changes in B0 field in the brain at a 7T MRI using a subject‐specific fine‐trained U‐net
                                      
                                            Motyka, Stanislav,                              Weiser, Paul,                              Bachrata, Beata,                              Hingerl, Lukas,                              Strasser, Bernhard,                              Hangel, Gilbert,                              Niess, Eva,                              Niess, Fabian,                              Zaitsev, Maxim,                              Robinson, Simon Daniel,                              Langs, Georg,                              Trattnig, Siegfried,                              Bogner, Wolfgang                              
Published in Magnetic resonance in medicine (01.05.2024)
                   
      
      
                                                  Published in Magnetic resonance in medicine (01.05.2024)
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          MRI and CSF biomarkers in normal, MCI, and AD subjects: predicting future clinical change
                                      
                                            Vemuri, P,                              Wiste, H J,                              Weigand, S D,                              Shaw, L M,                              Trojanowski, J Q,                              Weiner, M W,                              Knopman, D S,                              Petersen, R C,                              Jack, Jr, C R                              
Published in Neurology (28.07.2009)
                   
      
      
                                                  Published in Neurology (28.07.2009)
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          Accuracy of artificial intelligence CT quantification in predicting COVID-19 subjects’ prognosis
                                      
                                            Arian, Arvin,                              Mehrabi Nejad, Mohammad-Mehdi,                              Zoorpaikar, Mostafa,                              Hasanzadeh, Navid,                              Sotoudeh-Paima, Saman,                              Kolahi, Shahriar,                              Gity, Masoumeh,                              Soltanian-Zadeh, Hamid                              
Published in PloS one (08.12.2023)
                   
      
      
                                                  Published in PloS one (08.12.2023)
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          Brain fingerprinting and cognitive behavior predicting using functional connectome of high inter-subject variability
                                      
                                            Lu, Jiayu,                              Yan, Tianyi,                              Yang, Lan,                              Zhang, Xi,                              Li, Jiaxin,                              Li, Dandan,                              Xiang, Jie,                              Wang, Bin                              
Published in NeuroImage (Orlando, Fla.) (15.07.2024)
                   
      
      
                                                  Published in NeuroImage (Orlando, Fla.) (15.07.2024)
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          Predicting BCI Subject Performance Using Probabilistic Spatio-Temporal Filters
                                      
                                            Suk, Heung-Il,                              Fazli, Siamac,                              Mehnert, Jan,                              Müller, Klaus-Robert,                              Lee, Seong-Whan                              
Published in PloS one (14.02.2014)
                   
      
      
                                                  Published in PloS one (14.02.2014)
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          Predicting progression to Alzheimer’s disease in subjects with amnestic mild cognitive impairment using performance on recall and recognition tests
                                      
                                            De Simone, Maria Stefania,                              Perri, Roberta,                              Fadda, Lucia,                              Caltagirone, Carlo,                              Carlesimo, Giovanni Augusto                              
Published in Journal of neurology (01.01.2019)
                   
      
      
                                                  Published in Journal of neurology (01.01.2019)
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          Predicting Alzheimer’s disease progression in healthy and MCI subjects using multi‐modal deep learning approach
                                      
                                            Mirabnahrazam, Ghazal,                              Ma, Da,                              Beaulac, Cédric,                              Lee, Sieun,                              Popuri, Karteek,                              Lee, Hyunwoo,                              Cao, Jiguo,                              Wang, Lei,                              Galvin, James E,                              Beg, Mirza Faisal                              
Published in Alzheimer's & dementia (01.12.2022)
                   
      
      
                                                  Published in Alzheimer's & dementia (01.12.2022)
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          Predicting translational progress in biomedical research
                                      
                                            Hutchins, B. Ian,                              Davis, Matthew T.,                              Meseroll, Rebecca A.,                              Santangelo, George M.                              
Published in PLoS biology (10.10.2019)
                   
      
      
                                                  Published in PLoS biology (10.10.2019)
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          Predicting long‐term clinical stability in amyloid‐positive subjects by FDG‐PET
                                      
                                            Iaccarino, Leonardo,                              Sala, Arianna,                              Perani, Daniela                              
Published in Annals of clinical and translational neurology (01.06.2019)
                   
      
      
                                                  Published in Annals of clinical and translational neurology (01.06.2019)
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          Predicting dynamic, motion‐related changes in B 0 field in the brain at a 7T MRI using a subject‐specific fine‐trained U‐net
                                      
                                            Motyka, Stanislav,                              Weiser, Paul,                              Bachrata, Beata,                              Hingerl, Lukas,                              Strasser, Bernhard,                              Hangel, Gilbert,                              Niess, Eva,                              Niess, Fabian,                              Zaitsev, Maxim,                              Robinson, Simon Daniel,                              Langs, Georg,                              Trattnig, Siegfried,                              Bogner, Wolfgang                              
Published in Magnetic resonance in medicine (01.05.2024)
                   
      
      
                                                  Published in Magnetic resonance in medicine (01.05.2024)
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          Predicting Cognitive Decline in Subjects at Risk for Alzheimer Disease by Using Combined Cerebrospinal Fluid, MR Imaging, and PET Biomarkers
                                      
                                            Shaffer, Jennifer L.,                              Petrella, Jeffrey R.,                              Sheldon, Forrest C.,                              Choudhury, Kingshuk Roy,                              Calhoun, Vince D.,                              Coleman, R. Edward,                              Doraiswamy, P. Murali                              
Published in Radiology (01.02.2013)
                   
      
      
                                                  Published in Radiology (01.02.2013)
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          Predicting the motion of a high-Q pendulum subject to seismic perturbations using machine learning
                                      
                                            Heimann, Nicolas,                              Petermann, Jan,                              Hartwig, Daniel,                              Schnabel, Roman,                              Mathey, Ludwig                              
Published in Applied physics letters (19.06.2023)
                   
      
      
                                                  Published in Applied physics letters (19.06.2023)
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          Predicting the number of article citations on the topic of pemphigus vulgaris with the 100 top-cited articles since 2011: A protocol for systematic review and meta-analysis
                                      
                                            Yang, Ting-Ya,                              Chen, Chieh-Hsun,                              Chien, Tsair-Wei,                              Lai, Feng-Jie                              
Published in Medicine (Baltimore) (06.08.2021)
                   
      
      
                                                  Published in Medicine (Baltimore) (06.08.2021)
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