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Subject‐specific segregation of functional territories based on deep phenotyping
Pinho, Ana Luísa, Amadon, Alexis, Fabre, Murielle, Dohmatob, Elvis, Denghien, Isabelle, Torre, Juan Jesús, Ginisty, Chantal, Becuwe‐Desmidt, Séverine, Roger, Séverine, Laurier, Laurence, Joly‐Testault, Véronique, Médiouni‐Cloarec, Gaëlle, Doublé, Christine, Martins, Bernadette, Pinel, Philippe, Eger, Evelyn, Varoquaux, Gaël, Pallier, Christophe, Dehaene, Stanislas, Hertz‐Pannier, Lucie, Thirion, Bertrand
Published in Human brain mapping (01.03.2021)
Published in Human brain mapping (01.03.2021)
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Surface-based single-subject morphological brain networks: Effects of morphological index, brain parcellation and similarity measure, sample size-varying stability and test-retest reliability
Li, Yinzhi, Wang, Ningkai, Wang, Hao, Lv, Yating, Zou, Qihong, Wang, Jinhui
Published in NeuroImage (Orlando, Fla.) (15.07.2021)
Published in NeuroImage (Orlando, Fla.) (15.07.2021)
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Supervised Learning and Large Language Model Benchmarks on Mental Health Datasets: Cognitive Distortions and Suicidal Risks in Chinese Social Media
Qi, Hongzhi, Fu, Guanghui, Li, Jianqiang, Song, Changwei, Zhai, Wei, Luo, Dan, Liu, Shuo, Yu, Yijing, Yang, Bingxiang, Zhao, Qing
Published in Bioengineering (Basel) (19.08.2025)
Published in Bioengineering (Basel) (19.08.2025)
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A new support vector data description method for machinery fault diagnosis with unbalanced datasets
Duan, Lixiang, Xie, Mengyun, Bai, Tangbo, Wang, Jinjiang
Published in Expert systems with applications (01.12.2016)
Published in Expert systems with applications (01.12.2016)
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Artifact removal in the context of group ICA: A comparison of single-subject and group approaches
Du, Yuhui, Allen, Elena A., He, Hao, Sui, Jing, Wu, Lei, Calhoun, Vince D.
Published in Human brain mapping (01.03.2016)
Published in Human brain mapping (01.03.2016)
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Finding a Needle in a QT Interval Big Data Haystack: The Role for Orthogonal Datasets
Roden, Dan M., Mosley, Jonathan D., Denny, Joshua C.
Published in Journal of the American College of Cardiology (18.10.2016)
Published in Journal of the American College of Cardiology (18.10.2016)
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The Legal And Ethical Concerns That Arise From Using Complex Predictive Analytics In Health Care
Cohen, I. Glenn, Amarasingham, Ruben, Shah, Anand, Xie, Bin, Lo, Bernard
Published in Health Affairs (01.07.2014)
Published in Health Affairs (01.07.2014)
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EEGSym: Overcoming Inter-subject Variability in Motor Imagery Based BCIs with Deep Learning
Perez-Velasco, Sergio, Santamaria-Vazquez, Eduardo, Martinez-Cagigal, Victor, Marcos-Martinez, Diego, Hornero, Roberto
Published in IEEE transactions on neural systems and rehabilitation engineering (2022)
Published in IEEE transactions on neural systems and rehabilitation engineering (2022)
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The Capacity of Generic Musculoskeletal Simulations to Predict Knee Joint Loading Using the CAMS-Knee Datasets
Imani Nejad, Zohreh, Khalili, Khalil, Hosseini Nasab, Seyyed Hamed, Schütz, Pascal, Damm, Philipp, Trepczynski, Adam, Taylor, William R., Smith, Colin R.
Published in Annals of biomedical engineering (01.04.2020)
Published in Annals of biomedical engineering (01.04.2020)
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Inter- and Intra-Subject Transfer Reduces Calibration Effort for High-Speed SSVEP-Based BCIs
Wong, Chi Man, Wang, Ze, Wang, Boyu, Lao, Ka Fai, Rosa, Agostinho, Xu, Peng, Jung, Tzyy-Ping, Chen, C. L. Philip, Wan, Feng
Published in IEEE transactions on neural systems and rehabilitation engineering (01.10.2020)
Published in IEEE transactions on neural systems and rehabilitation engineering (01.10.2020)
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Learning from mixed datasets: A monotonic image quality assessment model
Feng, Zhaopeng, Zhang, Keyang, Jia, Shuyue, Chen, Baoliang, Wang, Shiqi
Published in Electronics letters (01.02.2023)
Published in Electronics letters (01.02.2023)
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MetaSleepLearner: A Pilot Study on Fast Adaptation of Bio-Signals-Based Sleep Stage Classifier to New Individual Subject Using Meta-Learning
Banluesombatkul, Nannapas, Ouppaphan, Pichayoot, Leelaarporn, Pitshaporn, Lakhan, Payongkit, Chaitusaney, Busarakum, Jaimchariyatam, Nattapong, Chuangsuwanich, Ekapol, Chen, Wei, Phan, Huy, Dilokthanakul, Nat, Wilaiprasitporn, Theerawit
Published in IEEE journal of biomedical and health informatics (01.06.2021)
Published in IEEE journal of biomedical and health informatics (01.06.2021)
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Explainable classification of Parkinson’s disease using deep learning trained on a large multi-center database of T1-weighted MRI datasets
Camacho, Milton, Wilms, Matthias, Mouches, Pauline, Almgren, Hannes, Souza, Raissa, Camicioli, Richard, Ismail, Zahinoor, Monchi, Oury, Forkert, Nils D.
Published in NeuroImage clinical (01.01.2023)
Published in NeuroImage clinical (01.01.2023)
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A deep learning-based multisite neuroimage harmonization framework established with a traveling-subject dataset
Tian, Dezheng, Zeng, Zilong, Sun, Xiaoyi, Tong, Qiqi, Li, Huanjie, He, Hongjian, Gao, Jia-Hong, He, Yong, Xia, Mingrui
Published in NeuroImage (Orlando, Fla.) (15.08.2022)
Published in NeuroImage (Orlando, Fla.) (15.08.2022)
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