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Learning to Disentangle Inter-Subject Anatomical Variations in Electrocardiographic Data
Gyawali, Prashnna K., Murkute, Jaideep Vitthal, Toloubidokhti, Maryam, Jiang, Xiajun, Horacek, B. Milan, Sapp, John L., Wang, Linwei
Published in IEEE transactions on biomedical engineering (01.02.2022)
Published in IEEE transactions on biomedical engineering (01.02.2022)
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Multi-modal and multi-subject modular organization of human brain networks
Puxeddu, Maria Grazia, Faskowitz, Joshua, Sporns, Olaf, Astolfi, Laura, Betzel, Richard F.
Published in NeuroImage (Orlando, Fla.) (01.12.2022)
Published in NeuroImage (Orlando, Fla.) (01.12.2022)
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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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Assessing data change in scientific datasets
Müller, Juliane, Faybishenko, Boris, Agarwal, Deborah, Bailey, Stephen, Jiang, Chongya, Ryu, Youngryel, Tull, Craig, Ramakrishnan, Lavanya
Published in Concurrency and computation (25.08.2021)
Published in Concurrency and computation (25.08.2021)
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An investigation of CNN models for differentiating malignant from benign lesions using small pathologically proven datasets
Zhang, Shu, Han, Fangfang, Liang, Zhengrong, Tan, Jiaxing, Cao, Weiguo, Gao, Yongfeng, Pomeroy, Marc, Ng, Kenneth, Hou, Wei
Published in Computerized medical imaging and graphics (01.10.2019)
Published in Computerized medical imaging and graphics (01.10.2019)
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Subject-Specific Human Modeling for Human Pose Estimation
Lu, Yifan, Chen, Genlang, Pang, Chaoyi, Zhang, Haolan, Zhang, Bailing
Published in IEEE transactions on human-machine systems (01.02.2023)
Published in IEEE transactions on human-machine systems (01.02.2023)
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Inference of cell type content from human brain transcriptomic datasets illuminates the effects of age, manner of death, dissection, and psychiatric diagnosis
Hagenauer, Megan Hastings, Schulmann, Anton, Li, Jun Z., Vawter, Marquis P., Walsh, David M., Thompson, Robert C., Turner, Cortney A., Bunney, William E., Myers, Richard M., Barchas, Jack D., Schatzberg, Alan F., Watson, Stanley J., Akil, Huda
Published in PloS one (17.07.2018)
Published in PloS one (17.07.2018)
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Assessing the documentation of publicly available medical image and signal datasets and their impact on bias using the BEAMRAD tool
Galanty, Maria, Luitse, Dieuwertje, Noteboom, Sijm H., Croon, Philip, Vlaar, Alexander P., Poell, Thomas, Sanchez, Clara I., Blanke, Tobias, Išgum, Ivana
Published in Scientific reports (30.12.2024)
Published in Scientific reports (30.12.2024)
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Datasets of various geotechnical surveys in several arrays in the Taipei Basin
Lu, Chih-Chieh, Deng, Yuan‑Chang, Wang, Jiun-Shiang, Hwang, Jin-Hung, Tseng, Chun-Chieh
Published in Data in brief (01.04.2024)
Published in Data in brief (01.04.2024)
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Artificial intelligence-powered pharmacovigilance: A review of machine and deep learning in clinical text-based adverse drug event detection for benchmark datasets
Li, Yiming, Tao, Wei, Li, Zehan, Sun, Zenan, Li, Fang, Fenton, Susan, Xu, Hua, Tao, Cui
Published in Journal of biomedical informatics (01.04.2024)
Published in Journal of biomedical informatics (01.04.2024)
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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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Combat COVID-19 infodemic using explainable natural language processing models
Ayoub, Jackie, Yang, X. Jessie, Zhou, Feng
Published in Information processing & management (01.07.2021)
Published in Information processing & management (01.07.2021)
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