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Improving Sensitivity of Arterial Spin Labeling Perfusion MRI in Alzheimer's Disease Using Transfer Learning of Deep Learning‐Based ASL Denoising
Zhang, Lei, Xie, Danfeng, Li, Yiran, Camargo, Aldo, Song, Donghui, Lu, Tong, Jeudy, Jean, Dreizin, David, Melhem, Elias R., Wang, Ze
Published in Journal of magnetic resonance imaging (01.06.2022)
Published in Journal of magnetic resonance imaging (01.06.2022)
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Subject-Independent, Biological Hip Moment Estimation During Multimodal Overground Ambulation Using Deep Learning
Molinaro, Dean D., Kang, Inseung, Camargo, Jonathan, Gombolay, Matthew C., Young, Aaron J.
Published in IEEE transactions on medical robotics and bionics (01.02.2022)
Published in IEEE transactions on medical robotics and bionics (01.02.2022)
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A Vision-Based Framework for Predicting Multiple Sclerosis and Parkinson's Disease Gait Dysfunctions-A Deep Learning Approach
Kaur, Rachneet, Motl, Robert W., Sowers, Richard, Hernandez, Manuel E.
Published in IEEE journal of biomedical and health informatics (01.01.2023)
Published in IEEE journal of biomedical and health informatics (01.01.2023)
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GluNet: A Deep Learning Framework for Accurate Glucose Forecasting
Li, Kezhi, Liu, Chengyuan, Zhu, Taiyu, Herrero, Pau, Georgiou, Pantelis
Published in IEEE journal of biomedical and health informatics (01.02.2020)
Published in IEEE journal of biomedical and health informatics (01.02.2020)
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Deep Learning for Segmentation Using an Open Large-Scale Dataset in 2D Echocardiography
Leclerc, Sarah, Smistad, Erik, Pedrosa, Joao, Ostvik, Andreas, Cervenansky, Frederic, Espinosa, Florian, Espeland, Torvald, Berg, Erik Andreas Rye, Jodoin, Pierre-Marc, Grenier, Thomas, Lartizien, Carole, Dhooge, Jan, Lovstakken, Lasse, Bernard, Olivier
Published in IEEE transactions on medical imaging (01.09.2019)
Published in IEEE transactions on medical imaging (01.09.2019)
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Transferring and generalizing deep-learning-based neural encoding models across subjects
Wen, Haiguang, Shi, Junxing, Chen, Wei, Liu, Zhongming
Published in NeuroImage (Orlando, Fla.) (01.08.2018)
Published in NeuroImage (Orlando, Fla.) (01.08.2018)
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Submillimeter MR fingerprinting using deep learning–based tissue quantification
Fang, Zhenghan, Chen, Yong, Hung, Sheng‐Che, Zhang, Xiaoxia, Lin, Weili, Shen, Dinggang
Published in Magnetic resonance in medicine (01.08.2020)
Published in Magnetic resonance in medicine (01.08.2020)
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mm-MuRe: mmWave-Based Multi-Subject Respiration Monitoring via End-to-End Deep Learning
Bauder, Chandler, Moadi, Abdel-Kareem, Rajagopal, Vijaysrinivas, Wu, Tianhao, Liu, Jian, Fathy, Aly E.
Published in IEEE journal of electromagnetics, RF and microwaves in medicine and biology (01.03.2025)
Published in IEEE journal of electromagnetics, RF and microwaves in medicine and biology (01.03.2025)
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Deep Learning-Based Classification and Voxel-Based Visualization of Frontotemporal Dementia and Alzheimer’s Disease
Hu, Jingjing, Qing, Zhao, Liu, Renyuan, Zhang, Xin, Lv, Pin, Wang, Maoxue, Wang, Yang, He, Kelei, Gao, Yang, Zhang, Bing
Published in Frontiers in neuroscience (21.01.2021)
Published in Frontiers in neuroscience (21.01.2021)
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Comparing different deep learning architectures for classification of chest radiographs
Bressem, Keno K., Adams, Lisa C., Erxleben, Christoph, Hamm, Bernd, Niehues, Stefan M., Vahldiek, Janis L.
Published in Scientific reports (12.08.2020)
Published in Scientific reports (12.08.2020)
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Physics-informed Deep Learning for Musculoskeletal Modelling: Predicting Muscle Forces and Joint Kinematics from Surface EMG
Zhang, Jie, Zhao, Yihui, Shone, Fergus, Li, Zhenhong, Frangi, Alejandro F., Xie, Sheng Quan, Zhang, Zhi-Qiang
Published in IEEE transactions on neural systems and rehabilitation engineering (01.01.2023)
Published in IEEE transactions on neural systems and rehabilitation engineering (01.01.2023)
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Current progress and open challenges for applying deep learning across the biosciences
Sapoval, Nicolae, Aghazadeh, Amirali, Nute, Michael G., Antunes, Dinler A., Balaji, Advait, Baraniuk, Richard, Barberan, C. J., Dannenfelser, Ruth, Dun, Chen, Edrisi, Mohammadamin, Elworth, R. A. Leo, Kille, Bryce, Kyrillidis, Anastasios, Nakhleh, Luay, Wolfe, Cameron R., Yan, Zhi, Yao, Vicky, Treangen, Todd J.
Published in Nature communications (01.04.2022)
Published in Nature communications (01.04.2022)
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The impact of transfer learning on 3D deep learning convolutional neural network segmentation of the hippocampus in mild cognitive impairment and Alzheimer disease subjects
Balboni, Erica, Nocetti, Luca, Carbone, Chiara, Dinsdale, Nicola, Genovese, Maurilio, Guidi, Gabriele, Malagoli, Marcella, Chiari, Annalisa, Namburete, Ana I. L., Jenkinson, Mark, Zamboni, Giovanna
Published in Human brain mapping (01.08.2022)
Published in Human brain mapping (01.08.2022)
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Spatio-temporal deep learning method for ADHD fMRI classification
Mao, Zhenyu, Su, Yi, Xu, Guangquan, Wang, Xueping, Huang, Yu, Yue, Weihua, Sun, Li, Xiong, Naixue
Published in Information sciences (01.10.2019)
Published in Information sciences (01.10.2019)
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