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Marleen de Bruijne

Showing results (1-10 of 155) with videos related to

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Medical Image Analysis|August 3, 2016
Machine learning approaches in medical image analysis: From detection to diagnosisMarleen de Bruijne
Information Processing in Medical Imaging : Proceedings of the ... Conference|August 22, 2009
Discriminative shape alignmentMarco Loog, Marleen de Bruijne
Information Processing in Medical Imaging : Proceedings of the ... Conference|March 16, 2007
Multi-object segmentation using shape particlesMarleen de Bruijne, Mads Nielsen
IEEE Transactions on Medical Imaging|February 18, 2016
Combining Generative and Discriminative Representation Learning for Lung CT Analysis With Convolutional Restricted Boltzmann MachinesGijs van Tulder, Marleen de Bruijne
Academic Radiology|September 25, 2007
Semiautomatic segmentation of vertebrae in lateral x-rays using a conditional shape modelJ Eugenio Iglesias, Marleen de Bruijne
Medical Image Analysis|April 28, 2023
Unpaired, unsupervised domain adaptation assumes your domains are already similarGijs van Tulder, Marleen de Bruijne
IEEE Transactions on Medical Imaging|September 7, 2018
Learning Cross-Modality Representations From Multi-Modal ImagesGijs van Tulder, Marleen de Bruijne
IEEE Transactions on Medical Imaging|February 5, 2010
Quantitative analysis of pulmonary emphysema using local binary patternsLauge Sørensen, Saher B Shaker, Marleen de Bruijne
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|November 5, 2008
Texture classification in lung CT using local binary patternsLauge Sørensen, Saher B Shaker, Marleen de Bruijne
Medical Image Analysis|April 9, 2019
Not-so-supervised: A survey of semi-supervised, multi-instance, and transfer learning in medical image analysisVeronika Cheplygina, Marleen de Bruijne, Josien P W Pluim
Pageof 16

Showing results (1-10 of 155) with videos related to

Sort By:
Pageof 16
Medical Image Analysis|August 3, 2016
Machine learning approaches in medical image analysis: From detection to diagnosisMarleen de Bruijne
Information Processing in Medical Imaging : Proceedings of the ... Conference|August 22, 2009
Discriminative shape alignmentMarco Loog, Marleen de Bruijne
Information Processing in Medical Imaging : Proceedings of the ... Conference|March 16, 2007
Multi-object segmentation using shape particlesMarleen de Bruijne, Mads Nielsen
IEEE Transactions on Medical Imaging|February 18, 2016
Combining Generative and Discriminative Representation Learning for Lung CT Analysis With Convolutional Restricted Boltzmann MachinesGijs van Tulder, Marleen de Bruijne
Academic Radiology|September 25, 2007
Semiautomatic segmentation of vertebrae in lateral x-rays using a conditional shape modelJ Eugenio Iglesias, Marleen de Bruijne
Medical Image Analysis|April 28, 2023
Unpaired, unsupervised domain adaptation assumes your domains are already similarGijs van Tulder, Marleen de Bruijne
IEEE Transactions on Medical Imaging|September 7, 2018
Learning Cross-Modality Representations From Multi-Modal ImagesGijs van Tulder, Marleen de Bruijne
IEEE Transactions on Medical Imaging|February 5, 2010
Quantitative analysis of pulmonary emphysema using local binary patternsLauge Sørensen, Saher B Shaker, Marleen de Bruijne
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|November 5, 2008
Texture classification in lung CT using local binary patternsLauge Sørensen, Saher B Shaker, Marleen de Bruijne
Medical Image Analysis|April 9, 2019
Not-so-supervised: A survey of semi-supervised, multi-instance, and transfer learning in medical image analysisVeronika Cheplygina, Marleen de Bruijne, Josien P W Pluim
Pageof 16