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

G. Murugesan, A. Famili, E. Davenport, B. Wagner, J. Urban, M. Kelley, D. Jones, C. Whitlow, J. Stitzel, J. Maldjian, и A. Montillo. ISBI, стр. 464-467. IEEE, (2017)

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Benjamin Wagner

Benjamin Wagner

Benjamin C Schefer

Christiana C Stahl-Wagner

Benjamin Wagner vom Berg

Другие публикации лиц с тем же именем

A Deep Learning Pipeline for Automatic Skull Stripping and Brain Segmentation.C. Yogananda, B. Wagner, G. Murugesan, A. Madhuranthakam, и J. Maldjian. ISBI, стр. 727-731. IEEE, (2019)Disparity Autoencoders for Multi-class Brain Tumor Segmentation.C. Yogananda, Y. Das, B. Wagner, S. Nalawade, D. Reddy, J. Holcomb, M. Pinho, B. Fei, A. Madhuranthakam, и J. Maldjian. BrainLes@MICCAI (2), том 12963 из Lecture Notes in Computer Science, стр. 116-124. Springer, (2021)Multidimensional and Multiresolution Ensemble Networks for Brain Tumor Segmentation.G. Murugesan, S. Nalawade, C. Ganesh, B. Wagner, F. Yu, B. Fei, A. Madhuranthakam, и J. Maldjian. BrainLes@MICCAI (1), том 12658 из Lecture Notes in Computer Science, стр. 448-457. Springer, (2020)Fully Automated Brain Tumor Segmentation and Survival Prediction of Gliomas Using Deep Learning and MRI.C. Yogananda, B. Wagner, S. Nalawade, G. Murugesan, M. Pinho, B. Fei, A. Madhuranthakam, и J. Maldjian. BrainLes@MICCAI (2), том 11993 из Lecture Notes in Computer Science, стр. 99-112. Springer, (2019)Using Convolutional Neural Networks to Automatically Detect Eye-Blink Artifacts in Magnetoencephalography Without Resorting to Electrooculography.P. Garg, E. Davenport, G. Murugesan, B. Wagner, C. Whitlow, J. Maldjian, и A. Montillo. MICCAI (3), том 10435 из Lecture Notes in Computer Science, стр. 374-381. Springer, (2017)Automatic 1D convolutional neural network-based detection of artifacts in MEG acquired without electrooculography or electrocardiography.P. Garg, E. Davenport, G. Murugesan, B. Wagner, C. Whitlow, J. Maldjian, и A. Montillo. PRNI, стр. 1-4. IEEE, (2017)Multidimensional and Multiresolution Ensemble Networks for Brain Tumor Segmentation.G. Murugesan, S. Nalawade, C. Yogananda, B. Wagner, F. Yu, B. Fei, A. Madhuranthakam, и J. Maldjian. BrainLes@MICCAI (2), том 11993 из Lecture Notes in Computer Science, стр. 148-157. Springer, (2019)Federated Learning for Brain Tumor Segmentation Using MRI and Transformers.S. Nalawade, C. Ganesh, B. Wagner, D. Reddy, Y. Das, F. Yu, B. Fei, A. Madhuranthakam, и J. Maldjian. BrainLes@MICCAI (2), том 12963 из Lecture Notes in Computer Science, стр. 444-454. Springer, (2021)Changes in resting state MRI networks from a single season of football distinguishes controls, low, and high head impact exposure.G. Murugesan, A. Famili, E. Davenport, B. Wagner, J. Urban, M. Kelley, D. Jones, C. Whitlow, J. Stitzel, J. Maldjian и 1 other автор(ы). ISBI, стр. 464-467. IEEE, (2017)Quantifying the Impact of Type 2 Diabetes on Brain Perfusion Using Deep Neural Networks.B. Saghafi, P. Garg, B. Wagner, S. Smith, J. Xu, A. Madhuranthakam, Y. Jung, J. Divers, B. Freedman, J. Maldjian и 1 other автор(ы). DLMIA/ML-CDS@MICCAI, том 10553 из Lecture Notes in Computer Science, стр. 151-159. Springer, (2017)

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