Brosch Tom - Citegraph

Author Info

Name	Affiliation	Papers
BROSCH TOM	Electrical and Computer Engineering, MS/MRI Research Group, University of British Columbia, Vancouver, Canada.	10
Collaborators	Citations	PageRank
22	170	8.29
Referers	Referees	References
737	272	97

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100737

Publications (10 rows)

Collaborators (22 rows)

Referers (100 rows)

Referees (100 rows)

Title	Citations	PageRank	Year
Deep Learning-Based Boundary Detection for Model-Based Segmentation with Application to MR Prostate Segmentation.	1	0.48	2018
Iterative Segmentation From Limited Training Data: Applications To Congenital Heart Disease	2	0.40	2018
Grey Matter Segmentation In Spinal Cord Mris Via 3d Convolutional Encoder Networks With Shortcut Connections	0	0.34	2017
Deep 3D Convolutional Encoder Networks With Shortcuts for Multiscale Feature Integration Applied to Multiple Sclerosis Lesion Segmentation.	72	2.01	2016
Corpus Callosum Segmentation in Brain MRIs via Robust Target-Localization and Joint Supervised Feature Extraction and Prediction.	0	0.34	2016
Deep Convolutional Encoder Networks for Multiple Sclerosis Lesion Segmentation	22	1.29	2015
Efficient training of convolutional deep belief networks in the frequency domain for application to high-resolution 2D and 3D images.	19	0.76	2015
Deep Learning of Image Features from Unlabeled Data for Multiple Sclerosis Lesion Segmentation.	7	0.71	2014
Modeling the variability in brain morphology and lesion distribution in multiple sclerosis by deep learning.	12	0.65	2014
Manifold learning of brain MRIs by deep learning.	35	1.31	2013

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