Artículos de revistas sobre el tema "Brain-age prediction"
Crea una cita precisa en los estilos APA, MLA, Chicago, Harvard y otros
Consulte los 50 mejores artículos de revistas para su investigación sobre el tema "Brain-age prediction".
Junto a cada fuente en la lista de referencias hay un botón "Agregar a la bibliografía". Pulsa este botón, y generaremos automáticamente la referencia bibliográfica para la obra elegida en el estilo de cita que necesites: APA, MLA, Harvard, Vancouver, Chicago, etc.
También puede descargar el texto completo de la publicación académica en formato pdf y leer en línea su resumen siempre que esté disponible en los metadatos.
Explore artículos de revistas sobre una amplia variedad de disciplinas y organice su bibliografía correctamente.
Xiong, Min, Lan Lin, Yue Jin, Wenjie Kang, Shuicai Wu y Shen Sun. "Comparison of Machine Learning Models for Brain Age Prediction Using Six Imaging Modalities on Middle-Aged and Older Adults". Sensors 23, n.º 7 (30 de marzo de 2023): 3622. http://dx.doi.org/10.3390/s23073622.
Texto completoZhang, Biao, Shuqin Zhang, Jianfeng Feng y Shihua Zhang. "Age-level bias correction in brain age prediction". NeuroImage: Clinical 37 (2023): 103319. http://dx.doi.org/10.1016/j.nicl.2023.103319.
Texto completoGómez-Ramírez, Jaime, Miguel A. Fernández-Blázquez y Javier J. González-Rosa. "Prediction of Chronological Age in Healthy Elderly Subjects with Machine Learning from MRI Brain Segmentation and Cortical Parcellation". Brain Sciences 12, n.º 5 (29 de abril de 2022): 579. http://dx.doi.org/10.3390/brainsci12050579.
Texto completode Lange, Ann-Marie G. y James H. Cole. "Commentary: Correction procedures in brain-age prediction". NeuroImage: Clinical 26 (2020): 102229. http://dx.doi.org/10.1016/j.nicl.2020.102229.
Texto completoDunås, Tora, Anders Wåhlin, Lars Nyberg y Carl-Johan Boraxbekk. "Multimodal Image Analysis of Apparent Brain Age Identifies Physical Fitness as Predictor of Brain Maintenance". Cerebral Cortex 31, n.º 7 (5 de marzo de 2021): 3393–407. http://dx.doi.org/10.1093/cercor/bhab019.
Texto completoCole, James H., Robert Leech y David J. Sharp. "Prediction of brain age suggests accelerated atrophy after traumatic brain injury". Annals of Neurology 77, n.º 4 (25 de marzo de 2015): 571–81. http://dx.doi.org/10.1002/ana.24367.
Texto completoLombardi, Angela, Nicola Amoroso, Domenico Diacono, Alfonso Monaco, Sabina Tangaro y Roberto Bellotti. "Extensive Evaluation of Morphological Statistical Harmonization for Brain Age Prediction". Brain Sciences 10, n.º 6 (11 de junio de 2020): 364. http://dx.doi.org/10.3390/brainsci10060364.
Texto completoKassani, Peyman Hosseinzadeh, Alexej Gossmann y Yu-Ping Wang. "Multimodal Sparse Classifier for Adolescent Brain Age Prediction". IEEE Journal of Biomedical and Health Informatics 24, n.º 2 (febrero de 2020): 336–44. http://dx.doi.org/10.1109/jbhi.2019.2925710.
Texto completoPeng, Han, Weikang Gong, Christian F. Beckmann, Andrea Vedaldi y Stephen M. Smith. "Accurate brain age prediction with lightweight deep neural networks". Medical Image Analysis 68 (febrero de 2021): 101871. http://dx.doi.org/10.1016/j.media.2020.101871.
Texto completoLam, Pradeep, Alyssa Zhu, Lauren Salminen, Sophia Thomopoulos, Neda Jahanshad y Paul Thompson. "Comparison of Deep Learning Methods for Brain Age Prediction". Biological Psychiatry 87, n.º 9 (mayo de 2020): S374—S375. http://dx.doi.org/10.1016/j.biopsych.2020.02.959.
Texto completoNiu, Xin, Fengqing Zhang, John Kounios y Hualou Liang. "Improved prediction of brain age using multimodal neuroimaging data". Human Brain Mapping 41, n.º 6 (15 de abril de 2020): 1626–43. http://dx.doi.org/10.1002/hbm.24899.
Texto completoValizadeh, S. A., J. Hänggi, S. Mérillat y L. Jäncke. "Age prediction on the basis of brain anatomical measures". Human Brain Mapping 38, n.º 2 (3 de noviembre de 2016): 997–1008. http://dx.doi.org/10.1002/hbm.23434.
Texto completoHussain, Shah, Shahab Haider, Sarmad Maqsood, Robertas Damaševičius, Rytis Maskeliūnas y Muzammil Khan. "ETISTP: An Enhanced Model for Brain Tumor Identification and Survival Time Prediction". Diagnostics 13, n.º 8 (18 de abril de 2023): 1456. http://dx.doi.org/10.3390/diagnostics13081456.
Texto completoLy, Maria, Nishita Muppidi, Helmet Karim, Gary Yu, Akiko Mizuno, William Klunk y Howard Aizenstein. "IMPROVING BRAIN AGE PREDICTION MODELS: INCORPORATION OF AMYLOID STATUS IN ALZHEIMER’S DISEASE". Innovation in Aging 3, Supplement_1 (noviembre de 2019): S91. http://dx.doi.org/10.1093/geroni/igz038.347.
Texto completoJacob, Yael, Gaurav Verma, Sarah Rutter, Laurel Morris, Priti Balchandani y James Murrough. "P328. Brain Age Prediction Using Functional Brain Network Efficiency in Major Depressive Disorder". Biological Psychiatry 91, n.º 9 (mayo de 2022): S220. http://dx.doi.org/10.1016/j.biopsych.2022.02.564.
Texto completoZhao, Yihong, Arno Klein, F. Xavier Castellanos y Michael P. Milham. "Brain age prediction: Cortical and subcortical shape covariation in the developing human brain". NeuroImage 202 (noviembre de 2019): 116149. http://dx.doi.org/10.1016/j.neuroimage.2019.116149.
Texto completoSun, Jiancheng, Zongqing Tu, Deqi Meng, Yizhou Gong, Mengmeng Zhang y Jinsong Xu. "Interpretation for Individual Brain Age Prediction Based on Gray Matter Volume". Brain Sciences 12, n.º 11 (9 de noviembre de 2022): 1517. http://dx.doi.org/10.3390/brainsci12111517.
Texto completoHabeck, Christian, Qolamreza Razlighi y Yaakov Stern. "Predictive utility of task-related functional connectivity vs. voxel activation". PLOS ONE 16, n.º 4 (8 de abril de 2021): e0249947. http://dx.doi.org/10.1371/journal.pone.0249947.
Texto completoMazher, Moona, Abdul Qayyum, Domenec Puig y Mohamed Abdel-Nasser. "Effective Approaches to Fetal Brain Segmentation in MRI and Gestational Age Estimation by Utilizing a Multiview Deep Inception Residual Network and Radiomics". Entropy 24, n.º 12 (23 de noviembre de 2022): 1708. http://dx.doi.org/10.3390/e24121708.
Texto completoLee, Jeyeon, Brian J. Burkett, Hoon-Ki Min, Matthew L. Senjem, Emily S. Lundt, Hugo Botha, Jonathan Graff-Radford et al. "Deep learning-based brain age prediction in normal aging and dementia". Nature Aging 2, n.º 5 (mayo de 2022): 412–24. http://dx.doi.org/10.1038/s43587-022-00219-7.
Texto completoCai, Huanhuan, Jiajia Zhu y Yongqiang Yu. "Robust prediction of individual personality from brain functional connectome". Social Cognitive and Affective Neuroscience 15, n.º 3 (marzo de 2020): 359–69. http://dx.doi.org/10.1093/scan/nsaa044.
Texto completoWang, Johnny, Maria J. Knol, Aleksei Tiulpin, Florian Dubost, Marleen de Bruijne, Meike W. Vernooij, Hieab H. H. Adams, M. Arfan Ikram, Wiro J. Niessen y Gennady V. Roshchupkin. "Gray Matter Age Prediction as a Biomarker for Risk of Dementia". Proceedings of the National Academy of Sciences 116, n.º 42 (1 de octubre de 2019): 21213–18. http://dx.doi.org/10.1073/pnas.1902376116.
Texto completoGuo, Yingying, Xi Yang, Zilong Yuan, Jianfeng Qiu y Weizhao Lu. "A comparison between diffusion tensor imaging and generalized q-sampling imaging in the age prediction of healthy adults via machine learning approaches". Journal of Neural Engineering 19, n.º 1 (1 de febrero de 2022): 016013. http://dx.doi.org/10.1088/1741-2552/ac4bfe.
Texto completoKuo, Chen-Yuan, Pei-Lin Lee, Sheng-Che Hung, Li-Kuo Liu, Wei-Ju Lee, Chih-Ping Chung, Albert C. Yang et al. "Large-Scale Structural Covariance Networks Predict Age in Middle-to-Late Adulthood: A Novel Brain Aging Biomarker". Cerebral Cortex 30, n.º 11 (23 de junio de 2020): 5844–62. http://dx.doi.org/10.1093/cercor/bhaa161.
Texto completoDeshpande, Prof Deepali, Shravani Bahirat, Vaisnavi Dalvi, Sakshi Darawade y Shravani Jagtap. "Brain Stroke Prediction using Machine Learning". International Journal for Research in Applied Science and Engineering Technology 11, n.º 5 (31 de mayo de 2023): 1093–101. http://dx.doi.org/10.22214/ijraset.2023.51431.
Texto completoWu, Simiao, Ruozhen Yuan, Yanan Wang, Chenchen Wei, Shihong Zhang, Xiaoyan Yang, Bo Wu y Ming Liu. "Early Prediction of Malignant Brain Edema After Ischemic Stroke". Stroke 49, n.º 12 (diciembre de 2018): 2918–27. http://dx.doi.org/10.1161/strokeaha.118.022001.
Texto completoJusseaume, Kameron y Iren Valova. "Brain Age Prediction/Classification through Recurrent Deep Learning with Electroencephalogram Recordings of Seizure Subjects". Sensors 22, n.º 21 (23 de octubre de 2022): 8112. http://dx.doi.org/10.3390/s22218112.
Texto completoMao, Lingchao, Jing Li, Todd J. Schwedt, Visar Berisha, Devin Nikjou, Teresa Wu, Gina M. Dumkrieger, Katherine B. Ross y Catherine D. Chong. "Questionnaire and structural imaging data accurately predict headache improvement in patients with acute post-traumatic headache attributed to mild traumatic brain injury". Cephalalgia 43, n.º 5 (mayo de 2023): 033310242311727. http://dx.doi.org/10.1177/03331024231172736.
Texto completoBaecker, Lea, Rafael Garcia-Dias, Sandra Vieira, Cristina Scarpazza y Andrea Mechelli. "Machine learning for brain age prediction: Introduction to methods and clinical applications". eBioMedicine 72 (octubre de 2021): 103600. http://dx.doi.org/10.1016/j.ebiom.2021.103600.
Texto completoHan, Hongfang, Sheng Ge y Haixian Wang. "Prediction of brain age based on the community structure of functional networks". Biomedical Signal Processing and Control 79 (enero de 2023): 104151. http://dx.doi.org/10.1016/j.bspc.2022.104151.
Texto completoLy, Maria, Gary Z. Yu, Helmet T. Karim, Nishita R. Muppidi, Akiko Mizuno, William E. Klunk y Howard J. Aizenstein. "Improving brain age prediction models: incorporation of amyloid status in Alzheimer's disease". Neurobiology of Aging 87 (marzo de 2020): 44–48. http://dx.doi.org/10.1016/j.neurobiolaging.2019.11.005.
Texto completoMonti, Ricardo Pio, Alex Gibberd, Sandipan Roy, Matthew Nunes, Romy Lorenz, Robert Leech, Takeshi Ogawa, Motoaki Kawanabe y Aapo Hyvärinen. "Interpretable brain age prediction using linear latent variable models of functional connectivity". PLOS ONE 15, n.º 6 (10 de junio de 2020): e0232296. http://dx.doi.org/10.1371/journal.pone.0232296.
Texto completoRichard, Geneviève, Knut Kolskår, Anne-Marthe Sanders, Tobias Kaufmann, Anders Petersen, Nhat Trung Doan, Jennifer Monereo Sánchez et al. "Assessing distinct patterns of cognitive aging using tissue-specific brain age prediction based on diffusion tensor imaging and brain morphometry". PeerJ 6 (30 de noviembre de 2018): e5908. http://dx.doi.org/10.7717/peerj.5908.
Texto completoHellstrøm, Torgeir, Nada Andelic, Ann-Marie G. de Lange, Eirik Helseth, Kristin Eiklid y Lars T. Westlye. "Apolipoprotein ɛ4 Status and Brain Structure 12 Months after Mild Traumatic Injury: Brain Age Prediction Using Brain Morphometry and Diffusion Tensor Imaging". Journal of Clinical Medicine 10, n.º 3 (22 de enero de 2021): 418. http://dx.doi.org/10.3390/jcm10030418.
Texto completoNygate, Yoav, Sam Rusk, Chris Fernandez, Nick Glattard, Jessica Arguelles, Jiaxiao Shi, Dennis Hwang y Nathaniel Watson. "543 EEG-Based Deep Neural Network Model for Brain Age Prediction and Its Association with Patient Health Conditions". Sleep 44, Supplement_2 (1 de mayo de 2021): A214. http://dx.doi.org/10.1093/sleep/zsab072.541.
Texto completoVerscheijden, Laurens F. M., Carlijn H. C. Litjens, Jan B. Koenderink, Ron H. J. Mathijssen, Marcel M. Verbeek, Saskia N. de Wildt y Frans G. M. Russel. "Physiologically based pharmacokinetic/pharmacodynamic model for the prediction of morphine brain disposition and analgesia in adults and children". PLOS Computational Biology 17, n.º 3 (4 de marzo de 2021): e1008786. http://dx.doi.org/10.1371/journal.pcbi.1008786.
Texto completoSun, H., K. Dunham, L. Cunningham, Y. Ni, M. Westover y R. Thomas. "0348 Sleep EEG-Based Brain Age Index is Reduced Under Continuous Positive Airway Pressure Treatment". Sleep 43, Supplement_1 (abril de 2020): A132. http://dx.doi.org/10.1093/sleep/zsaa056.345.
Texto completoRomagnosi, Federico, Adriano Bernini, Filippo Bongiovanni, Carolina Iaquaniello, John-Paul Miroz, Giuseppe Citerio, Fabio Silvio Taccone y Mauro Oddo. "Neurological Pupil Index for the Early Prediction of Outcome in Severe Acute Brain Injury Patients". Brain Sciences 12, n.º 5 (6 de mayo de 2022): 609. http://dx.doi.org/10.3390/brainsci12050609.
Texto completoSimfukwe, Chanda y Young Chul Youn. "Prediction of East Asian Brain Age using Machine Learning Algorithms Trained With Community-based Healthy Brain MRI". Dementia and Neurocognitive Disorders 21, n.º 4 (2022): 138. http://dx.doi.org/10.12779/dnd.2022.21.4.138.
Texto completoHolm, Madelene C., Esten H. Leonardsen, Dani Beck, Andreas Dahl, Rikka Kjelkenes, Ann-Marie G. de Lange y Lars T. Westlye. "Linking brain maturation and puberty during early adolescence using longitudinal brain age prediction in the ABCD cohort". Developmental Cognitive Neuroscience 60 (abril de 2023): 101220. http://dx.doi.org/10.1016/j.dcn.2023.101220.
Texto completoBallester, Pedro L., Laura Tomaz da Silva, Matheus Marcon, Nathalia Bianchini Esper, Benicio N. Frey, Augusto Buchweitz y Felipe Meneguzzi. "Predicting Brain Age at Slice Level: Convolutional Neural Networks and Consequences for Interpretability". Frontiers in Psychiatry 12 (25 de febrero de 2021). http://dx.doi.org/10.3389/fpsyt.2021.598518.
Texto completoKuo, Chen-Yuan, Tsung-Ming Tai, Pei-Lin Lee, Chiu-Wang Tseng, Chieh-Yu Chen, Liang-Kung Chen, Cheng-Kuang Lee, Kun-Hsien Chou, Simon See y Ching-Po Lin. "Improving Individual Brain Age Prediction Using an Ensemble Deep Learning Framework". Frontiers in Psychiatry 12 (23 de marzo de 2021). http://dx.doi.org/10.3389/fpsyt.2021.626677.
Texto completoGong, Weikang, Christian F. Beckmann, Andrea Vedaldi, Stephen M. Smith y Han Peng. "Optimising a Simple Fully Convolutional Network for Accurate Brain Age Prediction in the PAC 2019 Challenge". Frontiers in Psychiatry 12 (10 de mayo de 2021). http://dx.doi.org/10.3389/fpsyt.2021.627996.
Texto completoNiu, Xin, Alexei Taylor, Russell T. Shinohara, John Kounios y Fengqing Zhang. "Multidimensional Brain-Age Prediction Reveals Altered Brain Developmental Trajectory in Psychiatric Disorders". Cerebral Cortex, 30 de enero de 2022. http://dx.doi.org/10.1093/cercor/bhab530.
Texto completoHong, Jinwoo, Hyuk Jin Yun, Gilsoon Park, Seonggyu Kim, Yangming Ou, Lana Vasung, Caitlin K. Rollins et al. "Optimal Method for Fetal Brain Age Prediction Using Multiplanar Slices From Structural Magnetic Resonance Imaging". Frontiers in Neuroscience 15 (11 de octubre de 2021). http://dx.doi.org/10.3389/fnins.2021.714252.
Texto completoHsu, Yi-Fang, Florian Waszak, Juho Strömmer y Jarmo A. Hämäläinen. "Human Brain Ages With Hierarchy-Selective Attenuation of Prediction Errors". Cerebral Cortex, 1 de diciembre de 2020. http://dx.doi.org/10.1093/cercor/bhaa352.
Texto completoGanaie, M. A., M. Tanveer y Iman Beheshti. "Brain age prediction using improved twin SVR". Neural Computing and Applications, 7 de enero de 2022. http://dx.doi.org/10.1007/s00521-021-06518-1.
Texto completoFang, Keke, Shaoqiang Han, Yuming Li, Jing Ding, Jilian Wu y Wenzhou Zhang. "The Vital Role of Central Executive Network in Brain Age: Evidence From Machine Learning and Transcriptional Signatures". Frontiers in Neuroscience 15 (7 de septiembre de 2021). http://dx.doi.org/10.3389/fnins.2021.733316.
Texto completoAnatürk, Melis, Tobias Kaufmann, James H. Cole, Sana Suri, Ludovica Griffanti, Enikő Zsoldos, Nicola Filippini et al. "Prediction of brain age and cognitive age: Quantifying brain and cognitive maintenance in aging". Human Brain Mapping, 14 de diciembre de 2020. http://dx.doi.org/10.1002/hbm.25316.
Texto completoBallester, Pedro L., Jee Su Suh, Natalie C. W. Ho, Liangbing Liang, Stefanie Hassel, Stephen C. Strother, Stephen R. Arnott et al. "Gray matter volume drives the brain age gap in schizophrenia: a SHAP study". Schizophrenia 9, n.º 1 (9 de enero de 2023). http://dx.doi.org/10.1038/s41537-022-00330-z.
Texto completo