conference

Segmentation with Residual Attention U-Net and an Edge-Enhancement Approach Preserves Cell Shape Features
We demonstrate the addition of an edge-enhancement approach improved cell segmentation results over the baseline U-Net variant, in both traditional metrics and better preservation of cell shape features.
Nanyan Zhu, Chen Liu, Britney Forsyth, Zakary S Singer, Andrew F Laine, Tal Danino, Jia Guo
Segmentation with Residual Attention U-Net and an Edge-Enhancement Approach Preserves Cell Shape Features
Deep Learning Identifies Neuroimaging Signatures of Alzheimer's Disease Using Structural and Synthesized Functional MRI Data
We demonstrate the potential of deep learning with large-scale structural and synthesized functional MRI to impact Alzheimer’s Disease (AD) classification and to identify AD’s neuroimaging signatures.
Nanyan Zhu, Chen Liu, Xinyang Feng, Dipika Sikka, Sabrina Gjerswold-Selleck, Scott A Small, Jia Guo
Deep Learning Identifies Neuroimaging Signatures of Alzheimer's Disease Using Structural and Synthesized Functional MRI Data
Substituting Gadolinium in Brain MRI Using DeepContrast
We develop and optimize a deep learning algorithm to produce Gd contrast in mouse brain MRI directly from a single non-contrast structural MRI.
Haoran Sun, Xueqing Liu, Xinyang Feng, Chen Liu, Nanyan Zhu, Sabrina J Gjerswold-Selleck, Hong-Jian Wei, Pavan S Upadhyayula, Angeliki Mela, Cheng-Chia Wu, Peter D Canoll, Andrew F Laine, J Thomas Vaughan, Scott A Small, Jia Guo
Substituting Gadolinium in Brain MRI Using DeepContrast