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Assessing Neural Network Representations During Training Using Data Diffusion Spectra
We proposed an information-theory based framework to measure the entropy and mutual information of neural network representations.
Danqi Liao, Chen Liu, Alexander Tong, Guillaume Huguet, Guy Wolf, Maximilian Nickel, Ian Adelstein, Smita Krishnaswamy
Assessing Neural Network Representations During Training Using Data Diffusion Spectra
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 Artificial Functional MRI Data
The ISMRM (extended abstract) version of the IEEE ISBI 2021 paper.
Nanyan Zhu, Chen Liu, Sabrina Gjerswold-Selleck, Xinyang Feng, Dipika Sikka, Scott A Small, Jia Guo
Deep Learning Identifies Neuroimaging Signatures of Alzheimer's Disease Using Structural and Artificial Functional MRI Data
DL-BET-A Deep Learning Based Tool for Automatic Brain Extraction from Structural Magnetic Resonance Images in Mice
See title.
Sabrina Gjerswold-Selleck, Nanyan Zhu, Haoran Sun, Dipika Sikka, Jie Shi, Chen Liu, Tal Nuriel, Scott A Small, Jia Guo
DL-BET-A Deep Learning Based Tool for Automatic Brain Extraction from Structural Magnetic Resonance Images in Mice
In Vivo GABA Increase as a Biomarker of the Epileptogenic Zone: an Unbiased Metabolomics Approach
The ISMRM (extended abstract) version of the Epilepsia 2020 paper.
Florence Fauvelle, Vasile Stupar, Jia Guo, Wafae Labriji, Chen Liu, Alicia Plaindoux, Emmanuel Luc Barbier, Sophie Hamelin, Antoine Depaulis
In Vivo GABA Increase as a Biomarker of the Epileptogenic Zone: an Unbiased Metabolomics Approach
JET-A Matlab Toolkit for Automated J-Difference-Edited MR Spectra Processing of In Vivo Mouse MEGA-PRESS Study at 9.4 T
A MATLAB-based software toolkit that I re-designed, re-developed and released with my research partner Nanyan and supervisor Dr. Jia Guo based on Dr. Guo’s previous work.
Chen Liu, David Jing Ma, Nanyan Zhu, Kay Igwe, Jochen Weber, Roshell Li, Emily Turner Wood, Wafae Labriji, Vasile Stupar, Yanping Sun, Neil Harris, Antoine Depaulis, Florence Fauvelle, Scott A Small, Douglas L Rothman, Jia Guo
JET-A Matlab Toolkit for Automated J-Difference-Edited MR Spectra Processing of In Vivo Mouse MEGA-PRESS Study at 9.4 T
Predicting Gadolinium Contrast Enhancement for Structural Lesion Analysis using DeepContrast
See title.
Dipika Sikka, Nanyan Zhu, Chen Liu, Scott Small, Jia Guo
Predicting Gadolinium Contrast Enhancement for Structural Lesion Analysis using DeepContrast
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 -- A Proof-Of-Concept Study in Mice
The ISMRM (extended abstract) version of the IEEE ISBI 2020 paper.
Haoran Sun, Xueqing Liu, Xinyang Feng, Chen Liu, Nanyan Zhu, Sabrina Josefina Gjerswold-Selleck, Hong-Jian Wei, Pavan Shankar Upadhyayula, Angeliki Mela, Cheng-Chia Wu, Peter Canoll, Andrew F Laine, John Thomas Vaughan, Scott A Small, Jia Guo
Substituting Gadolinium In Brain MRI Using DeepContrast -- A Proof-Of-Concept Study in Mice
Substituting Gadolinium In Human Brain MRI Using DeepContrast
We develop and optimize a deep learning algorithm to produce Gd contrast in human brain MRI directly from a single non-contrast structural MRI, and demonstrate the predicted contrast is reasonable by showing its regional vulnerability pattern to aging over the entire cortex is highly similar to the ground truth patterns.
Chen Liu, Nanyan Zhu, Xinyang Feng, Frank A Provenzano, John T Vaughan, Scott A Small, Jia Guo
Substituting Gadolinium In Human Brain MRI Using DeepContrast