Benjamin C. Wagner

发表

Multidimensional and Multiresolution Ensemble Networks for Brain Tumor Segmentation

Gowtham Krishnan Murugesan, Joseph A. Maldjian, Baowei Fei, 2019, BrainLes@MICCAI.

A Fully Automated Deep Learning Network for Brain Tumor Segmentation

Joseph A. Maldjian, Baowei Fei, Benjamin C. Wagner, 2020, Tomography.

Single season changes in resting state network power and the connectivity between regions distinguish head impact exposure level in high school and youth football players

Gowtham Krishnan Murugesan, Albert Montillo, Joseph A. Maldjian, 2018, Medical Imaging.

Brain Tumor IDH, 1p/19q, and MGMT Molecular Classification Using MRI-based Deep Learning: Effect of Motion and Motion Correction

Joseph A. Maldjian, Baowei Fei, Benjamin C. Wagner, 2020, bioRxiv.

Quantifying the association between white matter integrity changes and subconcussive head impact exposure from a single season of youth and high school football using 3D convolutional neural networks

Albert Montillo, Joseph A. Maldjian, Christopher T. Whitlow, 2018, Medical Imaging.

High Dimensional Classification of Structural MRI Alzheimer’s Disease Data Based on Large Scale Regularization

Ramon Casanova, Joseph A. Maldjian, Christopher T. Whitlow, 2011, Front. Neuroinform..

Quantifying the Impact of Type 2 Diabetes on Brain Perfusion Using Deep Neural Networks

Albert Montillo, Joseph A. Maldjian, Jasmin Divers, 2017, DLMIA/ML-CDS@MICCAI.

A Deep Learning Pipeline for Automatic Skull Stripping and Brain Segmentation

Joseph A. Maldjian, Chandan Ganesh Bangalore Yogananda, Benjamin C. Wagner, 2019, 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019).

Fully Automated Brain Tumor Segmentation and Survival Prediction of Gliomas Using Deep Learning and MRI

Gowtham Krishnan Murugesan, Joseph A. Maldjian, Baowei Fei, 2019, BrainLes@MICCAI.

Automatic 1D convolutional neural network-based detection of artifacts in MEG acquired without electrooculography or electrocardiography

Albert Montillo, Joseph A. Maldjian, Christopher T. Whitlow, 2017, 2017 International Workshop on Pattern Recognition in Neuroimaging (PRNI).

Automatic identification of successful memory encoding in stereo-eeg of refractory, mesial temporal lobe epilepsy

Gowtham Krishnan Murugesan, Albert Montillo, Benjamin C. Wagner, 2017, 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017).

Changes in resting state MRI networks from a single season of football distinguishes controls, low, and high head impact exposure

Albert Montillo, Joseph A. Maldjian, Christopher T. Whitlow, 2017, 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017).

Using Convolutional Neural Networks to Automatically Detect Eye-Blink Artifacts in Magnetoencephalography Without Resorting to Electrooculography

Albert Montillo, Joseph A. Maldjian, Christopher T. Whitlow, 2017, MICCAI.

12. Embodied validation: our bodies can change and also validate our thoughts

Benjamin C. Wagner, Richard E. Petty, Pablo Briñol Turnes, 2012 .

A novel fully automated MRI-based deep-learning method for classification of IDH mutation status in brain gliomas

Joseph A. Maldjian, Baowei Fei, Benjamin C. Wagner, 2019, bioRxiv.

A novel fully automated MRI-based deep-learning method for classification of 1p/19q co-deletion status in brain gliomas

Joseph A. Maldjian, Baowei Fei, Chandan Ganesh Bangalore Yogananda, 2020, bioRxiv.

A new high-dimensional machine learning approach for identifying Alzheimer Disease from MRI structural images

Ramon Casanova, Joseph A. Maldjian, Christopher T. Whitlow, 2011 .