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Deep Learning of MRI Contrast Enhancement for Mapping Cerebral Blood Volume from Single-Modal Non-Contrast Scans of Aging and Alzheimer's Disease Brains
A deep learning algorithm to produce Gadolinium contrast in brain MRI directly from a single non-contrast structural MRI. Reasonable prediction results confirmed by downstream scientific findings on two species, multiple studies, and various levels of brain disorders.
Chen Liu, Nanyan Zhu, Haoran Sun, Junhao Zhang, Xinyang Feng, Sabrina Gjerswold-Selleck, Dipika Sikka, Xuemin Zhu, Xueqing Liu, Tal Nuriel, Hong-Jian Wei, Cheng-Chia Wu, Thomas J Vaughan, Andrew F Laine, Frank A Provenzano, Scott A Small, Jia Guo
Deep Learning of MRI Contrast Enhancement for Mapping Cerebral Blood Volume from Single-Modal Non-Contrast Scans of Aging and Alzheimer's Disease Brains
Reduced Hippocampal GABA is associated with Poorer Episodic Memory in Healthy Older Women: A Pilot Study
This is a paper describing a scientific research that is largely helped by JET.
Joan Jiménez-Balado, Alexandra Ycaza Herrera, Kay Igwe, Lynda P Klem, Korhan Buyukturkoglu, Andrei Irimia, Chen Liu, Jia Guo, Adam M Brickman, Teal S Eich
Reduced Hippocampal GABA is associated with Poorer Episodic Memory in Healthy Older Women: A Pilot Study
In vivo γ‐aminobutyric acid increase as a biomarker of the epileptogenic zone: An unbiased metabolomics approach
This is a paper describing a scientific research that is largely helped by JET.
Sophie Hamelin, Vasile Stupar, Lucile Mazière, Jia Guo, Wafae Labriji, Chen Liu, Ludiwine Bretagnolle, Sandrine Parrot, Emmanuel L Barbier, Antoine Depaulis, Florence Fauvelle
In vivo γ‐aminobutyric acid increase as a biomarker of the epileptogenic zone: An unbiased metabolomics approach
Understanding and Modeling Climate Impacts on Photosynthetic Dynamics with FLUXNET Data and Neural Networks
Recurrent models identifies shortwave radiation among six climate drivers as the the most influential predicting factor of photosynthetic events.
Nanyan Zhu, Chen Liu, Andrew F. Laine, Jia Guo
Understanding and Modeling Climate Impacts on Photosynthetic Dynamics with FLUXNET Data and Neural Networks