Статті в журналах з теми "Brain-age prediction"
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Xiong, Min, Lan Lin, Yue Jin, Wenjie Kang, Shuicai Wu, and Shen Sun. "Comparison of Machine Learning Models for Brain Age Prediction Using Six Imaging Modalities on Middle-Aged and Older Adults." Sensors 23, no. 7 (March 30, 2023): 3622. http://dx.doi.org/10.3390/s23073622.
Повний текст джерелаZhang, Biao, Shuqin Zhang, Jianfeng Feng, and 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.
Повний текст джерелаGómez-Ramírez, Jaime, Miguel A. Fernández-Blázquez, and 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, no. 5 (April 29, 2022): 579. http://dx.doi.org/10.3390/brainsci12050579.
Повний текст джерелаde Lange, Ann-Marie G., and 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.
Повний текст джерелаDunås, Tora, Anders Wåhlin, Lars Nyberg, and Carl-Johan Boraxbekk. "Multimodal Image Analysis of Apparent Brain Age Identifies Physical Fitness as Predictor of Brain Maintenance." Cerebral Cortex 31, no. 7 (March 5, 2021): 3393–407. http://dx.doi.org/10.1093/cercor/bhab019.
Повний текст джерелаCole, James H., Robert Leech, and David J. Sharp. "Prediction of brain age suggests accelerated atrophy after traumatic brain injury." Annals of Neurology 77, no. 4 (March 25, 2015): 571–81. http://dx.doi.org/10.1002/ana.24367.
Повний текст джерелаLombardi, Angela, Nicola Amoroso, Domenico Diacono, Alfonso Monaco, Sabina Tangaro, and Roberto Bellotti. "Extensive Evaluation of Morphological Statistical Harmonization for Brain Age Prediction." Brain Sciences 10, no. 6 (June 11, 2020): 364. http://dx.doi.org/10.3390/brainsci10060364.
Повний текст джерелаKassani, Peyman Hosseinzadeh, Alexej Gossmann, and Yu-Ping Wang. "Multimodal Sparse Classifier for Adolescent Brain Age Prediction." IEEE Journal of Biomedical and Health Informatics 24, no. 2 (February 2020): 336–44. http://dx.doi.org/10.1109/jbhi.2019.2925710.
Повний текст джерелаPeng, Han, Weikang Gong, Christian F. Beckmann, Andrea Vedaldi, and Stephen M. Smith. "Accurate brain age prediction with lightweight deep neural networks." Medical Image Analysis 68 (February 2021): 101871. http://dx.doi.org/10.1016/j.media.2020.101871.
Повний текст джерелаLam, Pradeep, Alyssa Zhu, Lauren Salminen, Sophia Thomopoulos, Neda Jahanshad, and Paul Thompson. "Comparison of Deep Learning Methods for Brain Age Prediction." Biological Psychiatry 87, no. 9 (May 2020): S374—S375. http://dx.doi.org/10.1016/j.biopsych.2020.02.959.
Повний текст джерелаNiu, Xin, Fengqing Zhang, John Kounios, and Hualou Liang. "Improved prediction of brain age using multimodal neuroimaging data." Human Brain Mapping 41, no. 6 (April 15, 2020): 1626–43. http://dx.doi.org/10.1002/hbm.24899.
Повний текст джерелаValizadeh, S. A., J. Hänggi, S. Mérillat, and L. Jäncke. "Age prediction on the basis of brain anatomical measures." Human Brain Mapping 38, no. 2 (November 3, 2016): 997–1008. http://dx.doi.org/10.1002/hbm.23434.
Повний текст джерелаHussain, Shah, Shahab Haider, Sarmad Maqsood, Robertas Damaševičius, Rytis Maskeliūnas, and Muzammil Khan. "ETISTP: An Enhanced Model for Brain Tumor Identification and Survival Time Prediction." Diagnostics 13, no. 8 (April 18, 2023): 1456. http://dx.doi.org/10.3390/diagnostics13081456.
Повний текст джерелаLy, Maria, Nishita Muppidi, Helmet Karim, Gary Yu, Akiko Mizuno, William Klunk, and Howard Aizenstein. "IMPROVING BRAIN AGE PREDICTION MODELS: INCORPORATION OF AMYLOID STATUS IN ALZHEIMER’S DISEASE." Innovation in Aging 3, Supplement_1 (November 2019): S91. http://dx.doi.org/10.1093/geroni/igz038.347.
Повний текст джерелаJacob, Yael, Gaurav Verma, Sarah Rutter, Laurel Morris, Priti Balchandani, and James Murrough. "P328. Brain Age Prediction Using Functional Brain Network Efficiency in Major Depressive Disorder." Biological Psychiatry 91, no. 9 (May 2022): S220. http://dx.doi.org/10.1016/j.biopsych.2022.02.564.
Повний текст джерелаZhao, Yihong, Arno Klein, F. Xavier Castellanos, and Michael P. Milham. "Brain age prediction: Cortical and subcortical shape covariation in the developing human brain." NeuroImage 202 (November 2019): 116149. http://dx.doi.org/10.1016/j.neuroimage.2019.116149.
Повний текст джерелаSun, Jiancheng, Zongqing Tu, Deqi Meng, Yizhou Gong, Mengmeng Zhang, and Jinsong Xu. "Interpretation for Individual Brain Age Prediction Based on Gray Matter Volume." Brain Sciences 12, no. 11 (November 9, 2022): 1517. http://dx.doi.org/10.3390/brainsci12111517.
Повний текст джерелаHabeck, Christian, Qolamreza Razlighi, and Yaakov Stern. "Predictive utility of task-related functional connectivity vs. voxel activation." PLOS ONE 16, no. 4 (April 8, 2021): e0249947. http://dx.doi.org/10.1371/journal.pone.0249947.
Повний текст джерелаMazher, Moona, Abdul Qayyum, Domenec Puig, and 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, no. 12 (November 23, 2022): 1708. http://dx.doi.org/10.3390/e24121708.
Повний текст джерелаLee, 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, no. 5 (May 2022): 412–24. http://dx.doi.org/10.1038/s43587-022-00219-7.
Повний текст джерелаCai, Huanhuan, Jiajia Zhu, and Yongqiang Yu. "Robust prediction of individual personality from brain functional connectome." Social Cognitive and Affective Neuroscience 15, no. 3 (March 2020): 359–69. http://dx.doi.org/10.1093/scan/nsaa044.
Повний текст джерелаWang, Johnny, Maria J. Knol, Aleksei Tiulpin, Florian Dubost, Marleen de Bruijne, Meike W. Vernooij, Hieab H. H. Adams, M. Arfan Ikram, Wiro J. Niessen, and Gennady V. Roshchupkin. "Gray Matter Age Prediction as a Biomarker for Risk of Dementia." Proceedings of the National Academy of Sciences 116, no. 42 (October 1, 2019): 21213–18. http://dx.doi.org/10.1073/pnas.1902376116.
Повний текст джерелаGuo, Yingying, Xi Yang, Zilong Yuan, Jianfeng Qiu, and 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, no. 1 (February 1, 2022): 016013. http://dx.doi.org/10.1088/1741-2552/ac4bfe.
Повний текст джерелаKuo, 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, no. 11 (June 23, 2020): 5844–62. http://dx.doi.org/10.1093/cercor/bhaa161.
Повний текст джерелаDeshpande, Prof Deepali, Shravani Bahirat, Vaisnavi Dalvi, Sakshi Darawade, and Shravani Jagtap. "Brain Stroke Prediction using Machine Learning." International Journal for Research in Applied Science and Engineering Technology 11, no. 5 (May 31, 2023): 1093–101. http://dx.doi.org/10.22214/ijraset.2023.51431.
Повний текст джерелаWu, Simiao, Ruozhen Yuan, Yanan Wang, Chenchen Wei, Shihong Zhang, Xiaoyan Yang, Bo Wu, and Ming Liu. "Early Prediction of Malignant Brain Edema After Ischemic Stroke." Stroke 49, no. 12 (December 2018): 2918–27. http://dx.doi.org/10.1161/strokeaha.118.022001.
Повний текст джерелаJusseaume, Kameron, and Iren Valova. "Brain Age Prediction/Classification through Recurrent Deep Learning with Electroencephalogram Recordings of Seizure Subjects." Sensors 22, no. 21 (October 23, 2022): 8112. http://dx.doi.org/10.3390/s22218112.
Повний текст джерелаMao, Lingchao, Jing Li, Todd J. Schwedt, Visar Berisha, Devin Nikjou, Teresa Wu, Gina M. Dumkrieger, Katherine B. Ross, and 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, no. 5 (May 2023): 033310242311727. http://dx.doi.org/10.1177/03331024231172736.
Повний текст джерелаBaecker, Lea, Rafael Garcia-Dias, Sandra Vieira, Cristina Scarpazza, and Andrea Mechelli. "Machine learning for brain age prediction: Introduction to methods and clinical applications." eBioMedicine 72 (October 2021): 103600. http://dx.doi.org/10.1016/j.ebiom.2021.103600.
Повний текст джерелаHan, Hongfang, Sheng Ge, and Haixian Wang. "Prediction of brain age based on the community structure of functional networks." Biomedical Signal Processing and Control 79 (January 2023): 104151. http://dx.doi.org/10.1016/j.bspc.2022.104151.
Повний текст джерелаLy, Maria, Gary Z. Yu, Helmet T. Karim, Nishita R. Muppidi, Akiko Mizuno, William E. Klunk, and Howard J. Aizenstein. "Improving brain age prediction models: incorporation of amyloid status in Alzheimer's disease." Neurobiology of Aging 87 (March 2020): 44–48. http://dx.doi.org/10.1016/j.neurobiolaging.2019.11.005.
Повний текст джерелаMonti, Ricardo Pio, Alex Gibberd, Sandipan Roy, Matthew Nunes, Romy Lorenz, Robert Leech, Takeshi Ogawa, Motoaki Kawanabe, and Aapo Hyvärinen. "Interpretable brain age prediction using linear latent variable models of functional connectivity." PLOS ONE 15, no. 6 (June 10, 2020): e0232296. http://dx.doi.org/10.1371/journal.pone.0232296.
Повний текст джерелаRichard, 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 (November 30, 2018): e5908. http://dx.doi.org/10.7717/peerj.5908.
Повний текст джерелаHellstrøm, Torgeir, Nada Andelic, Ann-Marie G. de Lange, Eirik Helseth, Kristin Eiklid та 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, № 3 (22 січня 2021): 418. http://dx.doi.org/10.3390/jcm10030418.
Повний текст джерелаNygate, Yoav, Sam Rusk, Chris Fernandez, Nick Glattard, Jessica Arguelles, Jiaxiao Shi, Dennis Hwang, and Nathaniel Watson. "543 EEG-Based Deep Neural Network Model for Brain Age Prediction and Its Association with Patient Health Conditions." Sleep 44, Supplement_2 (May 1, 2021): A214. http://dx.doi.org/10.1093/sleep/zsab072.541.
Повний текст джерелаVerscheijden, Laurens F. M., Carlijn H. C. Litjens, Jan B. Koenderink, Ron H. J. Mathijssen, Marcel M. Verbeek, Saskia N. de Wildt, and 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, no. 3 (March 4, 2021): e1008786. http://dx.doi.org/10.1371/journal.pcbi.1008786.
Повний текст джерелаSun, H., K. Dunham, L. Cunningham, Y. Ni, M. Westover, and R. Thomas. "0348 Sleep EEG-Based Brain Age Index is Reduced Under Continuous Positive Airway Pressure Treatment." Sleep 43, Supplement_1 (April 2020): A132. http://dx.doi.org/10.1093/sleep/zsaa056.345.
Повний текст джерелаRomagnosi, Federico, Adriano Bernini, Filippo Bongiovanni, Carolina Iaquaniello, John-Paul Miroz, Giuseppe Citerio, Fabio Silvio Taccone, and Mauro Oddo. "Neurological Pupil Index for the Early Prediction of Outcome in Severe Acute Brain Injury Patients." Brain Sciences 12, no. 5 (May 6, 2022): 609. http://dx.doi.org/10.3390/brainsci12050609.
Повний текст джерелаSimfukwe, Chanda, and 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, no. 4 (2022): 138. http://dx.doi.org/10.12779/dnd.2022.21.4.138.
Повний текст джерелаHolm, Madelene C., Esten H. Leonardsen, Dani Beck, Andreas Dahl, Rikka Kjelkenes, Ann-Marie G. de Lange, and Lars T. Westlye. "Linking brain maturation and puberty during early adolescence using longitudinal brain age prediction in the ABCD cohort." Developmental Cognitive Neuroscience 60 (April 2023): 101220. http://dx.doi.org/10.1016/j.dcn.2023.101220.
Повний текст джерелаBallester, Pedro L., Laura Tomaz da Silva, Matheus Marcon, Nathalia Bianchini Esper, Benicio N. Frey, Augusto Buchweitz, and Felipe Meneguzzi. "Predicting Brain Age at Slice Level: Convolutional Neural Networks and Consequences for Interpretability." Frontiers in Psychiatry 12 (February 25, 2021). http://dx.doi.org/10.3389/fpsyt.2021.598518.
Повний текст джерелаKuo, 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, and Ching-Po Lin. "Improving Individual Brain Age Prediction Using an Ensemble Deep Learning Framework." Frontiers in Psychiatry 12 (March 23, 2021). http://dx.doi.org/10.3389/fpsyt.2021.626677.
Повний текст джерелаGong, Weikang, Christian F. Beckmann, Andrea Vedaldi, Stephen M. Smith, and Han Peng. "Optimising a Simple Fully Convolutional Network for Accurate Brain Age Prediction in the PAC 2019 Challenge." Frontiers in Psychiatry 12 (May 10, 2021). http://dx.doi.org/10.3389/fpsyt.2021.627996.
Повний текст джерелаNiu, Xin, Alexei Taylor, Russell T. Shinohara, John Kounios, and Fengqing Zhang. "Multidimensional Brain-Age Prediction Reveals Altered Brain Developmental Trajectory in Psychiatric Disorders." Cerebral Cortex, January 30, 2022. http://dx.doi.org/10.1093/cercor/bhab530.
Повний текст джерелаHong, 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 (October 11, 2021). http://dx.doi.org/10.3389/fnins.2021.714252.
Повний текст джерелаHsu, Yi-Fang, Florian Waszak, Juho Strömmer, and Jarmo A. Hämäläinen. "Human Brain Ages With Hierarchy-Selective Attenuation of Prediction Errors." Cerebral Cortex, December 1, 2020. http://dx.doi.org/10.1093/cercor/bhaa352.
Повний текст джерелаGanaie, M. A., M. Tanveer, and Iman Beheshti. "Brain age prediction using improved twin SVR." Neural Computing and Applications, January 7, 2022. http://dx.doi.org/10.1007/s00521-021-06518-1.
Повний текст джерелаFang, Keke, Shaoqiang Han, Yuming Li, Jing Ding, Jilian Wu, and Wenzhou Zhang. "The Vital Role of Central Executive Network in Brain Age: Evidence From Machine Learning and Transcriptional Signatures." Frontiers in Neuroscience 15 (September 7, 2021). http://dx.doi.org/10.3389/fnins.2021.733316.
Повний текст джерелаAnatürk, 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, December 14, 2020. http://dx.doi.org/10.1002/hbm.25316.
Повний текст джерелаBallester, 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, no. 1 (January 9, 2023). http://dx.doi.org/10.1038/s41537-022-00330-z.
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