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Disambiguation of "Dong, Qinglin"

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Neural Architecture Search for Optimizing Deep Belief Network Models of fMRI Data.

, , , , and . MMMI@MICCAI, volume 11977 of Lecture Notes in Computer Science, page 26-34. Springer, (2019)

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Qinglin Zheng

Michael Döngi

Purinerge und GAbAerge Calciumsignale in Astrozyten des Bulbus olfactorius der Maus. TU Kaiserslautern, (2009)

Dong Chen

Acceleration of the spatial selective excitation of MRI via sparse approximation. TU München, (2009)

Manfred Dönges

Johannes Dönges

 

Other publications of authors with the same name

Modeling Task fMRI Data Via Deep Convolutional Autoencoder., , , , , , , and . IEEE Trans. Medical Imaging, 37 (7): 1551-1561 (2018)Recognizing Brain States Using Deep Sparse Recurrent Neural Network., , , , , , , and . IEEE Trans. Medical Imaging, 38 (4): 1058-1068 (2019)A Novel fMRI Representation Learning Framework with GAN., , , , , , and . MLMI@MICCAI, volume 12436 of Lecture Notes in Computer Science, page 21-29. Springer, (2020)Multple-demand system identification and characterization via sparse representations of fMRI data., , , , and . ISBI, page 70-73. IEEE, (2016)Neural Architecture Search for Optimizing Deep Belief Network Models of fMRI Data., , , , and . MMMI@MICCAI, volume 11977 of Lecture Notes in Computer Science, page 26-34. Springer, (2019)Spatiotemporal Attention Autoencoder (STAAE) for ADHD Classification., , , , , and . MICCAI (7), volume 12267 of Lecture Notes in Computer Science, page 508-517. Springer, (2020)Modeling Task fMRI Data via Deep Convolutional Autoencoder., , , , , , , and . IPMI, volume 10265 of Lecture Notes in Computer Science, page 411-424. Springer, (2017)What Makes a Good Movie Trailer?: Interpretation from Simultaneous EEG and Eyetracker Recording., , , , , , and . ACM Multimedia, page 82-86. ACM, (2016)Modeling task-based fMRI data via deep belief network with neural architecture search., , , , , , , , and . Comput. Medical Imaging Graph., (2020)Hierarchical Organization of Functional Brain Networks Revealed by Hybrid Spatiotemporal Deep Learning., , , , , , , , , and 1 other author(s). Brain Connect., 10 (2): 72-82 (2020)