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SEEG-Net: An explainable and deep learning-based cross-subject pathological activity detection method for drug-resistant epilepsy
Wang, Yiping, Yang, Yanfeng, Cao, Gongpeng, Guo, Jinjie, Wei, Penghu, Feng, Tao, Dai, Yang, Huang, Jinguo, Kang, Guixia, Zhao, Guoguang
Published in Computers in biology and medicine (01.09.2022)
Published in Computers in biology and medicine (01.09.2022)
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From a deep learning model back to the brain—Identifying regional predictors and their relation to aging
Levakov, Gidon, Rosenthal, Gideon, Shelef, Ilan, Raviv, Tammy Riklin, Avidan, Galia
Published in Human brain mapping (15.08.2020)
Published in Human brain mapping (15.08.2020)
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Deep-learning-assisted diagnosis for knee magnetic resonance imaging: Development and retrospective validation of MRNet
Bien, Nicholas, Rajpurkar, Pranav, Ball, Robyn L., Irvin, Jeremy, Park, Allison, Jones, Erik, Bereket, Michael, Patel, Bhavik N., Yeom, Kristen W., Shpanskaya, Katie, Halabi, Safwan, Zucker, Evan, Fanton, Gary, Amanatullah, Derek F., Beaulieu, Christopher F., Riley, Geoffrey M., Stewart, Russell J., Blankenberg, Francis G., Larson, David B., Jones, Ricky H., Langlotz, Curtis P., Ng, Andrew Y., Lungren, Matthew P.
Published in PLoS medicine (27.11.2018)
Published in PLoS medicine (27.11.2018)
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HashNet: Deep Learning to Hash by Continuation
Zhangjie Cao, Mingsheng Long, Jianmin Wang, Yu, Philip S.
Published in Proceedings / IEEE International Conference on Computer Vision (01.10.2017)
Published in Proceedings / IEEE International Conference on Computer Vision (01.10.2017)
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Deep learning in generating radiology reports: A survey
Monshi, Maram Mahmoud A., Poon, Josiah, Chung, Vera
Published in Artificial intelligence in medicine (01.06.2020)
Published in Artificial intelligence in medicine (01.06.2020)
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A Multi-View Deep Learning Framework for EEG Seizure Detection
Yuan, Ye, Xun, Guangxu, Jia, Kebin, Zhang, Aidong
Published in IEEE journal of biomedical and health informatics (01.01.2019)
Published in IEEE journal of biomedical and health informatics (01.01.2019)
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Robust hybrid deep learning models for Alzheimer’s progression detection
Abuhmed, Tamer, El-Sappagh, Shaker, Alonso, Jose M.
Published in Knowledge-based systems (15.02.2021)
Published in Knowledge-based systems (15.02.2021)
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Weakly Supervised Deep Learning for Brain Disease Prognosis Using MRI and Incomplete Clinical Scores
Liu, Mingxia, Zhang, Jun, Lian, Chunfeng, Shen, Dinggang
Published in IEEE Transactions on Cybernetics (01.07.2020)
Published in IEEE Transactions on Cybernetics (01.07.2020)
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SmartFall: A Smartwatch-Based Fall Detection System Using Deep Learning
Mauldin, Taylor R., Canby, Marc E., Metsis, Vangelis, Ngu, Anne H. H., Rivera, Coralys Cubero
Published in Sensors (Basel, Switzerland) (09.10.2018)
Published in Sensors (Basel, Switzerland) (09.10.2018)
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Deep Learning for Distributed Optimization: Applications to Wireless Resource Management
Lee, Hoon, Lee, Sang Hyun, Quek, Tony Q. S.
Published in IEEE journal on selected areas in communications (01.10.2019)
Published in IEEE journal on selected areas in communications (01.10.2019)
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An end-to-end deep learning approach to MI-EEG signal classification for BCIs
Dose, Hauke, Møller, Jakob S., Iversen, Helle K., Puthusserypady, Sadasivan
Published in Expert systems with applications (30.12.2018)
Published in Expert systems with applications (30.12.2018)
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Sleep Apnea Prediction Using Deep Learning
Wang, Eileen, Koprinska, Irena, Jeffries, Bryn
Published in IEEE journal of biomedical and health informatics (01.11.2023)
Published in IEEE journal of biomedical and health informatics (01.11.2023)
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A novel deep learning approach to predict subject arm movements from EEG-based signals
Kansal, Sachin, Garg, Dhruv, Upadhyay, Aditya, Mittal, Snehil, Talwar, Guneet Singh
Published in Neural computing & applications (01.06.2023)
Published in Neural computing & applications (01.06.2023)
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Deep Learning Techniques for Visual SLAM : a Survey
Mokssit, Saad, Licea, Daniel Bonilla, Guermah, Bassma, Ghogho, Mounir
Published in IEEE access (01.01.2023)
Published in IEEE access (01.01.2023)
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Using interpretable deep learning radiomics model to diagnose and predict progression of early AD disease spectrum: a preliminary [18F]FDG PET study
Jiang, Jiehui, Li, Chenyang, Lu, Jiaying, Sun, Jie, Sun, Xiaoming, Yang, Jiacheng, Wang, Luyao, Zuo, Chuantao, Shi, Kuangyu
Published in European radiology (01.05.2025)
Published in European radiology (01.05.2025)
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