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Holger R Roth

Showing results (11-20 of 49) with videos related to

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Medical Image Analysis|February 11, 2018
Spatial aggregation of holistically-nested convolutional neural networks for automated pancreas localization and segmentationHolger R Roth, Le Lu, Nathan Lay, et al.
IEEE Transactions on Medical Imaging|October 7, 2015
Improving Computer-Aided Detection Using Convolutional Neural Networks and Random View AggregationHolger R Roth, Le Lu, Jiamin Liu, et al.
Medical Image Analysis|July 13, 2013
Endoluminal surface registration for CT colonography using haustral fold matchingThomas Hampshire, Holger R Roth, Emma Helbren, et al.
Radiology|July 4, 2014
CT colonography: clinical evaluation of a method for automatic coregistration of polyps at follow-up surveillance studiesEmma Helbren, Holger R Roth, Thomas E Hampshire, et al.
Patterns (New York, N.Y.)|November 21, 2024
Toward a tipping point in federated learning in healthcare and life sciencesInken Hagestedt, Ian Hales, Eric Boernert, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|October 22, 2014
A new 2.5D representation for lymph node detection using random sets of deep convolutional neural network observationsHolger R Roth, Le Lu, Ari Seff, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|September 17, 2019
Precise estimation of renal vascular dominant regions using spatially aware fully convolutional networks, tensor-cut and Voronoi diagramsChenglong Wang, Holger R Roth, Takayuki Kitasaka, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|March 25, 2018
An application of cascaded 3D fully convolutional networks for medical image segmentationHolger R Roth, Hirohisa Oda, Xiangrong Zhou, et al.
IEEE Transactions on Medical Imaging|February 18, 2016
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer LearningHoo-Chang Shin, Holger R Roth, Mingchen Gao, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|October 22, 2014
2D view aggregation for lymph node detection using a shallow hierarchy of linear classifiersAri Seff, Le Lu, Kevin M Cherry, et al.
Pageof 5

Showing results (11-20 of 49) with videos related to

Sort By:
Pageof 5
Medical Image Analysis|February 11, 2018
Spatial aggregation of holistically-nested convolutional neural networks for automated pancreas localization and segmentationHolger R Roth, Le Lu, Nathan Lay, et al.
IEEE Transactions on Medical Imaging|October 7, 2015
Improving Computer-Aided Detection Using Convolutional Neural Networks and Random View AggregationHolger R Roth, Le Lu, Jiamin Liu, et al.
Medical Image Analysis|July 13, 2013
Endoluminal surface registration for CT colonography using haustral fold matchingThomas Hampshire, Holger R Roth, Emma Helbren, et al.
Radiology|July 4, 2014
CT colonography: clinical evaluation of a method for automatic coregistration of polyps at follow-up surveillance studiesEmma Helbren, Holger R Roth, Thomas E Hampshire, et al.
Patterns (New York, N.Y.)|November 21, 2024
Toward a tipping point in federated learning in healthcare and life sciencesInken Hagestedt, Ian Hales, Eric Boernert, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|October 22, 2014
A new 2.5D representation for lymph node detection using random sets of deep convolutional neural network observationsHolger R Roth, Le Lu, Ari Seff, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|September 17, 2019
Precise estimation of renal vascular dominant regions using spatially aware fully convolutional networks, tensor-cut and Voronoi diagramsChenglong Wang, Holger R Roth, Takayuki Kitasaka, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|March 25, 2018
An application of cascaded 3D fully convolutional networks for medical image segmentationHolger R Roth, Hirohisa Oda, Xiangrong Zhou, et al.
IEEE Transactions on Medical Imaging|February 18, 2016
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer LearningHoo-Chang Shin, Holger R Roth, Mingchen Gao, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|October 22, 2014
2D view aggregation for lymph node detection using a shallow hierarchy of linear classifiersAri Seff, Le Lu, Kevin M Cherry, et al.
Pageof 5