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Jens Rittscher

Showing results (1-10 of 78) with videos related to

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Annual Review of Biomedical Engineering|May 21, 2010
Characterization of biological processes through automated image analysisJens Rittscher
Medical Image Analysis|September 25, 2010
Coupled minimum-cost flow cell tracking for high-throughput quantitative analysisDirk Padfield, Jens Rittscher, Badrinath Roysam
Journal of Gastroenterology and Hepatology|October 12, 2020
Artificial intelligence for colonoscopic polyp detection: High performance versus human natureJames E East, Jens Rittscher
IEEE Transactions on Medical Imaging|June 10, 2024
SSL-CPCD: Self-Supervised Learning With Composite Pretext-Class Discrimination for Improved Generalisability in Endoscopic Image AnalysisZiang Xu, Jens Rittscher, Sharib Ali
Information Processing in Medical Imaging : Proceedings of the ... Conference|August 22, 2009
Coupled minimum-cost flow cell trackingDirk Padfield, Jens Rittscher, Badrinath Roysam
Acta Ophthalmologica|January 26, 2020
Automated classification of normal and Stargardt disease optical coherence tomography images using deep learningMital Shah, Ana Roomans Ledo, Jens Rittscher
Molecular Systems Biology|March 7, 2020
KCML: a machine-learning framework for inference of multi-scale gene functions from genetic perturbation screensHeba Z Sailem, Jens Rittscher, Lucas Pelkmans
Medical Image Analysis|August 30, 2008
Spatio-temporal cell cycle phase analysis using level sets and fast marching methodsDirk Padfield, Jens Rittscher, Nick Thomas, et al.
Computational and Structural Biotechnology Journal|October 2, 2020
DeepScratch: Single-cell based topological metrics of scratch wound assaysAvelino Javer, Jens Rittscher, Heba Z Sailem
Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences|April 12, 2003
Mathematical modelling of animate and intentional motionJens Rittscher, Andrew Blake, Anthony Hoogs, et al.
Pageof 8

Showing results (1-10 of 78) with videos related to

Sort By:
Pageof 8
Annual Review of Biomedical Engineering|May 21, 2010
Characterization of biological processes through automated image analysisJens Rittscher
Medical Image Analysis|September 25, 2010
Coupled minimum-cost flow cell tracking for high-throughput quantitative analysisDirk Padfield, Jens Rittscher, Badrinath Roysam
Journal of Gastroenterology and Hepatology|October 12, 2020
Artificial intelligence for colonoscopic polyp detection: High performance versus human natureJames E East, Jens Rittscher
IEEE Transactions on Medical Imaging|June 10, 2024
SSL-CPCD: Self-Supervised Learning With Composite Pretext-Class Discrimination for Improved Generalisability in Endoscopic Image AnalysisZiang Xu, Jens Rittscher, Sharib Ali
Information Processing in Medical Imaging : Proceedings of the ... Conference|August 22, 2009
Coupled minimum-cost flow cell trackingDirk Padfield, Jens Rittscher, Badrinath Roysam
Acta Ophthalmologica|January 26, 2020
Automated classification of normal and Stargardt disease optical coherence tomography images using deep learningMital Shah, Ana Roomans Ledo, Jens Rittscher
Molecular Systems Biology|March 7, 2020
KCML: a machine-learning framework for inference of multi-scale gene functions from genetic perturbation screensHeba Z Sailem, Jens Rittscher, Lucas Pelkmans
Medical Image Analysis|August 30, 2008
Spatio-temporal cell cycle phase analysis using level sets and fast marching methodsDirk Padfield, Jens Rittscher, Nick Thomas, et al.
Computational and Structural Biotechnology Journal|October 2, 2020
DeepScratch: Single-cell based topological metrics of scratch wound assaysAvelino Javer, Jens Rittscher, Heba Z Sailem
Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences|April 12, 2003
Mathematical modelling of animate and intentional motionJens Rittscher, Andrew Blake, Anthony Hoogs, et al.
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