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Benjamin C Wagner

Showing results (1-10 of 29) with videos related to

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AJNR. American Journal of Neuroradiology|October 23, 2024
Repeatability and Reproducibility of Pseudocontinuous Arterial Spin-Labeling-Measured Brain Perfusion in Healthy Volunteers and Patients with GlioblastomaLimin Zhou, Durga Udayakumar, Yiming Wang, et al.
Acta Diabetologica|November 4, 2015
Analysis of the relationships between type 2 diabetes status, glycemic control, and neuroimaging measures in the Diabetes Heart Study MindLaura M Raffield, Amanda J Cox, Barry I Freedman, et al.
Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support : Third International Workshop, DLMIA 2017, and 7Th International Workshop, ML-CDS 2017, Held in Conjunction with MICCAI 2017 Quebec City, QC|October 26, 2019
Quantifying the Impact of Type 2 Diabetes on Brain Perfusion Using Deep Neural NetworksBehrouz Saghafi, Prabhat Garg, Benjamin C Wagner, et al.
Magnetic Resonance in Medicine|May 1, 2018
Microstructural correlates of 3D steady-state inhomogeneous magnetization transfer (ihMT) in the human brain white matter assessed by myelin water imaging and diffusion tensor imagingEce Ercan, Gopal Varma, Burkhard Mädler, et al.
Journal of Diabetes and Its Complications|October 19, 2015
Associations between anxiety and depression symptoms and cognitive testing and neuroimaging in type 2 diabetesLaura M Raffield, Gretchen A Brenes, Amanda J Cox, et al.
Diabetes Care|September 11, 2014
Cerebral structural changes in diabetic kidney disease: African American-Diabetes Heart Study MINDKaycee M Sink, Jasmin Divers, Christopher T Whitlow, et al.
Neuro-Oncology Advances|July 25, 2020
A novel fully automated MRI-based deep-learning method for classification of 1p/19q co-deletion status in brain gliomasChandan Ganesh Bangalore Yogananda, Bhavya R Shah, Frank F Yu, et al.
Neuro-Oncology Advances|January 12, 2023
Corrigendum to: A novel fully automated MRI-based deep-learning method for classification of 1p/19q co-deletion status in brain gliomasChandan Ganesh Bangalore Yogananda, Bhavya R Shah, Frank F Yu, et al.
Journal of Medical Imaging (Bellingham, Wash.)|February 4, 2022
Brain tumor IDH, 1p/19q, and MGMT molecular classification using MRI-based deep learning: an initial study on the effect of motion and motion correctionSahil S Nalawade, Fang F Yu, Chandan Ganesh Bangalore Yogananda, et al.
Diabetes Care|September 16, 2015
Subclinical Atherosclerosis Is Inversely Associated With Gray Matter Volume in African Americans With Type 2 DiabetesBarry I Freedman, Jasmin Divers, Christopher T Whitlow, et al.
Pageof 3

Showing results (1-10 of 29) with videos related to

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Pageof 3
AJNR. American Journal of Neuroradiology|October 23, 2024
Repeatability and Reproducibility of Pseudocontinuous Arterial Spin-Labeling-Measured Brain Perfusion in Healthy Volunteers and Patients with GlioblastomaLimin Zhou, Durga Udayakumar, Yiming Wang, et al.
Acta Diabetologica|November 4, 2015
Analysis of the relationships between type 2 diabetes status, glycemic control, and neuroimaging measures in the Diabetes Heart Study MindLaura M Raffield, Amanda J Cox, Barry I Freedman, et al.
Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support : Third International Workshop, DLMIA 2017, and 7Th International Workshop, ML-CDS 2017, Held in Conjunction with MICCAI 2017 Quebec City, QC|October 26, 2019
Quantifying the Impact of Type 2 Diabetes on Brain Perfusion Using Deep Neural NetworksBehrouz Saghafi, Prabhat Garg, Benjamin C Wagner, et al.
Magnetic Resonance in Medicine|May 1, 2018
Microstructural correlates of 3D steady-state inhomogeneous magnetization transfer (ihMT) in the human brain white matter assessed by myelin water imaging and diffusion tensor imagingEce Ercan, Gopal Varma, Burkhard Mädler, et al.
Journal of Diabetes and Its Complications|October 19, 2015
Associations between anxiety and depression symptoms and cognitive testing and neuroimaging in type 2 diabetesLaura M Raffield, Gretchen A Brenes, Amanda J Cox, et al.
Diabetes Care|September 11, 2014
Cerebral structural changes in diabetic kidney disease: African American-Diabetes Heart Study MINDKaycee M Sink, Jasmin Divers, Christopher T Whitlow, et al.
Neuro-Oncology Advances|July 25, 2020
A novel fully automated MRI-based deep-learning method for classification of 1p/19q co-deletion status in brain gliomasChandan Ganesh Bangalore Yogananda, Bhavya R Shah, Frank F Yu, et al.
Neuro-Oncology Advances|January 12, 2023
Corrigendum to: A novel fully automated MRI-based deep-learning method for classification of 1p/19q co-deletion status in brain gliomasChandan Ganesh Bangalore Yogananda, Bhavya R Shah, Frank F Yu, et al.
Journal of Medical Imaging (Bellingham, Wash.)|February 4, 2022
Brain tumor IDH, 1p/19q, and MGMT molecular classification using MRI-based deep learning: an initial study on the effect of motion and motion correctionSahil S Nalawade, Fang F Yu, Chandan Ganesh Bangalore Yogananda, et al.
Diabetes Care|September 16, 2015
Subclinical Atherosclerosis Is Inversely Associated With Gray Matter Volume in African Americans With Type 2 DiabetesBarry I Freedman, Jasmin Divers, Christopher T Whitlow, et al.
Pageof 3