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Michal Drozdzal

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

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Computers in Biology and Medicine|April 28, 2015
Motility bar: A new tool for motility analysis of endoluminal videosMichal Drozdzal, Santi Seguí, Petia Radeva, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|October 27, 2012
Adaptable image cuts for motility inspection using WCEMichal Drozdzal, Santi Seguí, Jordi Vitrià, et al.
Computers in Biology and Medicine|November 5, 2016
Generic feature learning for wireless capsule endoscopy analysisSanti Seguí, Michal Drozdzal, Guillem Pascual, et al.
IEEE Journal of Biomedical and Health Informatics|November 7, 2014
Detection of wrinkle frames in endoluminal videos using betweenness centrality measures for imagesSanti Seguí, Michal Drozdzal, Ekaterina Zaytseva, et al.
IEEE Transactions on Information Technology in Biomedicine : a Publication of the IEEE Engineering in Medicine and Biology Society|November 14, 2013
Categorization and segmentation of intestinal content frames for wireless capsule endoscopySanti Seguí, Michal Drozdzal, Fernando Vilariño, et al.
Radiographics : a Review Publication of the Radiological Society of North America, Inc|November 14, 2017
Deep Learning: A Primer for RadiologistsGabriel Chartrand, Phillip M Cheng, Eugene Vorontsov, et al.
Journal of Healthcare Engineering|October 26, 2017
A Benchmark for Endoluminal Scene Segmentation of Colonoscopy ImagesDavid Vázquez, Jorge Bernal, F Javier Sánchez, et al.
Medical Image Analysis|November 24, 2017
Learning normalized inputs for iterative estimation in medical image segmentationMichal Drozdzal, Gabriel Chartrand, Eugene Vorontsov, et al.
American Journal of Physiology. Gastrointestinal and Liver Physiology|August 8, 2015
Classification of functional bowel disorders by objective physiological criteria based on endoluminal image analysisCarolina Malagelada, Michal Drozdzal, Santi Seguí, et al.
Medical Image Analysis|December 8, 2022
The Liver Tumor Segmentation Benchmark (LiTS)Patrick Bilic, Patrick Christ, Hongwei Bran Li, et al.
Pageof 1

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

Sort By:
Pageof 1
Computers in Biology and Medicine|April 28, 2015
Motility bar: A new tool for motility analysis of endoluminal videosMichal Drozdzal, Santi Seguí, Petia Radeva, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|October 27, 2012
Adaptable image cuts for motility inspection using WCEMichal Drozdzal, Santi Seguí, Jordi Vitrià, et al.
Computers in Biology and Medicine|November 5, 2016
Generic feature learning for wireless capsule endoscopy analysisSanti Seguí, Michal Drozdzal, Guillem Pascual, et al.
IEEE Journal of Biomedical and Health Informatics|November 7, 2014
Detection of wrinkle frames in endoluminal videos using betweenness centrality measures for imagesSanti Seguí, Michal Drozdzal, Ekaterina Zaytseva, et al.
IEEE Transactions on Information Technology in Biomedicine : a Publication of the IEEE Engineering in Medicine and Biology Society|November 14, 2013
Categorization and segmentation of intestinal content frames for wireless capsule endoscopySanti Seguí, Michal Drozdzal, Fernando Vilariño, et al.
Radiographics : a Review Publication of the Radiological Society of North America, Inc|November 14, 2017
Deep Learning: A Primer for RadiologistsGabriel Chartrand, Phillip M Cheng, Eugene Vorontsov, et al.
Journal of Healthcare Engineering|October 26, 2017
A Benchmark for Endoluminal Scene Segmentation of Colonoscopy ImagesDavid Vázquez, Jorge Bernal, F Javier Sánchez, et al.
Medical Image Analysis|November 24, 2017
Learning normalized inputs for iterative estimation in medical image segmentationMichal Drozdzal, Gabriel Chartrand, Eugene Vorontsov, et al.
American Journal of Physiology. Gastrointestinal and Liver Physiology|August 8, 2015
Classification of functional bowel disorders by objective physiological criteria based on endoluminal image analysisCarolina Malagelada, Michal Drozdzal, Santi Seguí, et al.
Medical Image Analysis|December 8, 2022
The Liver Tumor Segmentation Benchmark (LiTS)Patrick Bilic, Patrick Christ, Hongwei Bran Li, et al.
Pageof 1