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Deep Learning–Based Quantification of Epicardial Adipose Tissue Volume and Attenuation Predicts Major Adverse Cardiovascular Events in Asymptomatic Subjects
Eisenberg, Evann, McElhinney, Priscilla A., Commandeur, Frederic, Chen, Xi, Cadet, Sebastien, Goeller, Markus, Razipour, Aryabod, Gransar, Heidi, Cantu, Stephanie, Miller, Robert J.H., Slomka, Piotr J., Wong, Nathan D., Rozanski, Alan, Achenbach, Stephan, Tamarappoo, Balaji K., Berman, Daniel S., Dey, Damini
Published in Circulation. Cardiovascular imaging (01.02.2020)
Published in Circulation. Cardiovascular imaging (01.02.2020)
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Deep learning interpretation of echocardiograms
Ghorbani, Amirata, Ouyang, David, Abid, Abubakar, He, Bryan, Chen, Jonathan H., Harrington, Robert A., Liang, David H., Ashley, Euan A., Zou, James Y.
Published in NPJ digital medicine (24.01.2020)
Published in NPJ digital medicine (24.01.2020)
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A deep learning method for image‐based subject‐specific local SAR assessment
Meliadò, E.F., Raaijmakers, A.J.E, Sbrizzi, A., Steensma, B.R., Maspero, M., Savenije, M.H.F., Luijten, P.R., Berg, C.A.T.
Published in Magnetic resonance in medicine (01.02.2020)
Published in Magnetic resonance in medicine (01.02.2020)
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Dynamic MRI using model‐based deep learning and SToRM priors: MoDL‐SToRM
Biswas, Sampurna, Aggarwal, Hemant K., Jacob, Mathews
Published in Magnetic resonance in medicine (01.07.2019)
Published in Magnetic resonance in medicine (01.07.2019)
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Deep‐learning models of the ascending proprioceptive pathway are subject to illusions
Perez Rotondo, Adriana, Simos, Merkourios, David, Florian, Pigeon, Sebastian, Blanke, Olaf, Mathis, Alexander
Published in Experimental physiology (04.06.2025)
Published in Experimental physiology (04.06.2025)
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Deep learning‐based whole‐brain B1+‐mapping at 7T
Krueger, Felix, Aigner, Christoph Stefan, Lutz, Max, Riemann, Layla Tabea, Degenhardt, Katja, Hadjikiriakos, Kimon, Zimmermann, Felix Frederik, Hammernik, Kerstin, Schulz‐Menger, Jeanette, Schaeffter, Tobias, Schmitter, Sebastian
Published in Magnetic resonance in medicine (01.04.2025)
Published in Magnetic resonance in medicine (01.04.2025)
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Geometric Deep Learning for Subject Independent Epileptic Seizure Prediction Using Scalp EEG Signals
Dissanayake, Theekshana, Fernando, Tharindu, Denman, Simon, Sridharan, Sridha, Fookes, Clinton
Published in IEEE journal of biomedical and health informatics (01.02.2022)
Published in IEEE journal of biomedical and health informatics (01.02.2022)
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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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Subject independent emotion recognition from EEG using VMD and deep learning
Pandey, Pallavi, Seeja, K.R.
Published in Journal of King Saud University. Computer and information sciences (01.05.2022)
Published in Journal of King Saud University. Computer and information sciences (01.05.2022)
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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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Group‐level brain decoding with deep learning
Csaky, Richard, van Es, Mats W. J., Jones, Oiwi Parker, Woolrich, Mark
Published in Human brain mapping (01.12.2023)
Published in Human brain mapping (01.12.2023)
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Deep learning framework for subject-independent emotion detection using wireless signals
Khan, Ahsan Noor, Ihalage, Achintha Avin, Ma, Yihan, Liu, Baiyang, Liu, Yujie, Hao, Yang
Published in PloS one (03.02.2021)
Published in PloS one (03.02.2021)
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Deep learning-based structural health monitoring
Cha, Young-Jin, Ali, Rahmat, Lewis, John, Büyükӧztürk, Oral
Published in Automation in construction (01.05.2024)
Published in Automation in construction (01.05.2024)
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Deep learning reveals Alzheimer's disease onset in MCI subjects: Results from an international challenge
Amoroso, Nicola, Diacono, Domenico, Fanizzi, Annarita, La Rocca, Marianna, Monaco, Alfonso, Lombardi, Angela, Guaragnella, Cataldo, Bellotti, Roberto, Tangaro, Sabina
Published in Journal of neuroscience methods (15.05.2018)
Published in Journal of neuroscience methods (15.05.2018)
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Cross-Dataset Variability Problem in EEG Decoding With Deep Learning
Xu, Lichao, Xu, Minpeng, Ke, Yufeng, An, Xingwei, Liu, Shuang, Ming, Dong
Published in Frontiers in human neuroscience (21.04.2020)
Published in Frontiers in human neuroscience (21.04.2020)
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Deep learning approach for identification of H ii regions during reionization in 21-cm observations - II. Foreground contamination
Bianco, Michele, Giri, Sambit K, Prelogović, David, Chen, Tianyue, Mertens, Florent G, Tolley, Emma, Mesinger, Andrei, Kneib, Jean-Paul
Published in Monthly notices of the Royal Astronomical Society (01.03.2024)
Published in Monthly notices of the Royal Astronomical Society (01.03.2024)
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Emotion recognition while applying cosmetic cream using deep learning from EEG data; cross-subject analysis
Kim, Jieun, Hwang, Dong-Uk, Son, Edwin J., Oh, Sang Hoon, Kim, Whansun, Kim, Youngkyung, Kwon, Gusang
Published in PloS one (10.11.2022)
Published in PloS one (10.11.2022)
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