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Splenomegaly Segmentation on Multi-modal MRI using Deep Convolutional Networks.

Y. Huo, Z. Xu, S. Bao, C. Bermudez, H. Moon, P. Parvathaneni, T. Moyo, M. Savona, A. Assad, R. Abramson, and B. Landman. CoRR, (2018)

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Camilo Gerhard

Colón Bermúdez

Camilo Michalka

Camilo Pérez

Jorge Sanchez Bermudez

Other publications of authors with the same name

Anatomical context protects deep learning from adversarial perturbations in medical imaging.Y. Li, H. Zhang, C. Bermudez, Y. Chen, B. Landman, and Y. Vorobeychik. Neurocomputing, (2020)Contrast Phase Classification with a Generative Adversarial Network.Y. Tang, H. Lee, Y. Xu, O. Tang, Y. Chen, D. Gao, S. Han, R. Gao, C. Bermudez, M. Savona and 3 other author(s). CoRR, (2019)Contextual Deep Regression Network for Volume Estimation in Orbital CT.S. Chaganti, C. Bermudez, L. Mawn, T. Lasko, and B. Landman. MICCAI (6), volume 11769 of Lecture Notes in Computer Science, page 104-111. Springer, (2019)Harmonizing 1.5T/3T diffusion weighted MRI through development of deep learning stabilized microarchitecture estimators.V. Nath, S. Remedios, P. Parvathaneni, C. Hansen, R. Bayrak, C. Bermudez, J. Blaber, K. Schilling, V. Janve, Y. Gao and 9 other author(s). Medical Imaging: Image Processing, volume 10949 of SPIE Proceedings, page 109490O. SPIE, (2019)Distributed deep learning for robust multi-site segmentation of CT imaging after traumatic brain injury.S. Remedios, S. Roy, J. Blaber, C. Bermudez, V. Nath, M. Patel, J. Butman, B. Landman, and D. Pham. Medical Imaging: Image Processing, volume 10949 of SPIE Proceedings, page 109490A. SPIE, (2019)Contrast phase classification with a generative adversarial network.Y. Tang, H. Lee, Y. Xu, O. Tang, Y. Chen, D. Gao, S. Han, R. Gao, C. Bermudez, M. Savona and 3 other author(s). Medical Imaging: Image Processing, volume 11313 of SPIE Proceedings, page 1131310. SPIE, (2020)Inter-Scanner Harmonization of High Angular Resolution DW-MRI using Null Space Deep Learning.V. Nath, P. Parvathaneni, C. Hansen, A. Hainline, C. Bermudez, S. Remedios, J. Blaber, K. Schilling, I. Lyu, V. Janve and 8 other author(s). CoRR, (2018)A Data Colocation Grid Framework for Big Data Medical Image Processing - Backend Design.S. Bao, Y. Huo, P. Parvathaneni, A. Plassard, C. Bermudez, Y. Yao, I. Lyu, A. Gokhale, and B. Landman. CoRR, (2017)3D whole brain segmentation using spatially localized atlas network tiles.Y. Huo, Z. Xu, Y. Xiong, K. Aboud, P. Parvathaneni, S. Bao, C. Bermudez, S. Resnick, L. Cutting, and B. Landman. NeuroImage, (2019)Towards Machine Learning Prediction of Deep Brain Stimulation (DBS) Intra-operative Efficacy Maps.C. Bermudez, W. Rodriguez, Y. Huo, A. Hainline, R. Li, R. Shults, P. D'Haese, P. Konrad, B. Dawant, and B. Landman. CoRR, (2018)

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Disambiguation of "Bermudez, Camilo"

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Splenomegaly Segmentation on Multi-modal MRI using Deep Convolutional Networks.

Please choose a person to relate this publication to

Camilo Gerhard

Colón Bermúdez

Camilo Michalka

Camilo Pérez

Jorge Sanchez Bermudez

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Bermudez, Camilo"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Splenomegaly Segmentation on Multi-modal MRI using Deep Convolutional Networks.

Please choose a person to relate this publication to

Camilo Gerhard

Colón Bermúdez

Camilo Michalka

Camilo Pérez

Jorge Sanchez Bermudez

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Splenomegaly Segmentation on Multi-modal MRI using Deep Convolutional Networks.