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Longitudinal Correlation Analysis for Decoding Multi-Modal Brain Development


Jul 10, 2021
Qingyu Zhao, Ehsan Adeli, Kilian M. Pohl


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Metadata Normalization


May 05, 2021
Mandy Lu, Qingyu Zhao, Jiequan Zhang, Kilian M. Pohl, Li Fei-Fei, Juan Carlos Niebles, Ehsan Adeli

* Accepted to CVPR 2021. Project page: https://mml.stanford.edu/MDN/ 

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Going Beyond Saliency Maps: Training Deep Models to Interpret Deep Models


Feb 16, 2021
Zixuan Liu, Ehsan Adeli, Kilian M. Pohl, Qingyu Zhao


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Vision-based Estimation of MDS-UPDRS Gait Scores for Assessing Parkinson's Disease Motor Severity


Jul 17, 2020
Mandy Lu, Kathleen Poston, Adolf Pfefferbaum, Edith V. Sullivan, Li Fei-Fei, Kilian M. Pohl, Juan Carlos Niebles, Ehsan Adeli

* Accepted as a conference paper at MICCAI (Medical Image Computing and Computer Assisted Intervention), Lima, Peru, October 2020. 11 pages, LaTeX 

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LSSL: Longitudinal Self-Supervised Learning


Jun 12, 2020
Qingyu Zhao, Zixuan Liu, Ehsan Adeli, Kilian M. Pohl


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Spatio-Temporal Graph Convolution for Functional MRI Analysis


Mar 24, 2020
Soham Gadgil, Qingyu Zhao, Ehsan Adeli, Adolf Pfefferbaum, Edith V. Sullivan, Kilian M. Pohl


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Bias-Resilient Neural Network


Oct 08, 2019
Ehsan Adeli, Qingyu Zhao, Adolf Pfefferbaum, Edith V. Sullivan, Li Fei-Fei, Juan Carlos Niebles, Kilian M. Pohl


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Confounder-Aware Visualization of ConvNets


Jul 30, 2019
Qingyu Zhao, Ehsan Adeli, Adolf Pfefferbaum, Edith V. Sullivan, Kilian M. Pohl


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Variational AutoEncoder For Regression: Application to Brain Aging Analysis


Apr 11, 2019
Qingyu Zhao, Ehsan Adeli, Nicolas Honnorat, Tuo Leng, Kilian M. Pohl


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Truncated Gaussian-Mixture Variational AutoEncoder


Mar 08, 2019
Qingyu Zhao, Nicolas Honnorat, Ehsan Adeli, Kilian M. Pohl


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Variational Autoencoder with Truncated Mixture of Gaussians for Functional Connectivity Analysis


Feb 11, 2019
Qingyu Zhao, Nicolas Honnorat, Ehsan Adeli, Kilian M. Pohl


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End-To-End Alzheimer's Disease Diagnosis and Biomarker Identification


Oct 01, 2018
Soheil Esmaeilzadeh, Dimitrios Ioannis Belivanis, Kilian M. Pohl, Ehsan Adeli

* Machine Learning in Medical Imaging. MLMI 2018. Lecture Notes in Computer Science, vol 11046. Springer, Cham 

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Active Mean Fields for Probabilistic Image Segmentation: Connections with Chan-Vese and Rudin-Osher-Fatemi Models


Oct 04, 2016
Marc Niethammer, Kilian M. Pohl, Firdaus Janoos, William M. Wells III


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WESD - Weighted Spectral Distance for Measuring Shape Dissimilarity


Aug 24, 2012
Ender Konukoglu, Ben Glocker, Antonio Criminisi, Kilian M. Pohl


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