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Tobias Hepp

Showing results (11-20 of 61) with videos related to

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Methods of Information in Medicine|September 15, 2016
Approaches to Regularized Regression - A Comparison between Gradient Boosting and the LassoTobias Hepp, Matthias Schmid, Olaf Gefeller, et al.
BMC Bioinformatics|July 29, 2022
Mixture density networks for the indirect estimation of reference intervalsTobias Hepp, Jakob Zierk, Manfred Rauh, et al.
Methods of Information in Medicine|January 12, 2019
Addendum to: Approaches to Regularized Regression - A Comparison between Gradient Boosting and the LassoTobias Hepp, Matthias Schmid, Olaf Gefeller, et al.
BMC Nephrology|April 3, 2020
Accuracy and concordance of measurement methods to assess non-adherence after renal transplantation - a prospective studyMarietta Lieb, Tobias Hepp, Mario Schiffer, et al.
Oncology Research and Treatment|July 8, 2021
A Taxonomy for Psycho-Oncological Intervention Techniques in an Acute Care Hospital in GermanyMartina Madl, Marietta Lieb, Katharina Schieber, et al.
Journal of Medical Imaging (Bellingham, Wash.)|October 18, 2021
Weakly supervised segmentation of tumor lesions in PET-CT hybrid imagingMarcel Früh, Marc Fischer, Andreas Schilling, et al.
Magnetic Resonance in Medicine|January 29, 2024
Predictive uncertainty in deep learning-based MR image reconstruction using deep ensembles: Evaluation on the fastMRI data setThomas Küstner, Kerstin Hammernik, Daniel Rueckert, et al.
BMC Bioinformatics|November 14, 2020
Latent class distributional regression for the estimation of non-linear reference limits from contaminated data sourcesTobias Hepp, Jakob Zierk, Manfred Rauh, et al.
Investigative Radiology|August 16, 2020
Can a Novel Deep Neural Network Improve the Computer-Aided Detection of Solid Pulmonary Nodules and the Rate of False-Positive Findings in Comparison to an Established Machine Learning Computer-Aided Detection?Regine Mariette Perl, Rainer Grimmer, Tobias Hepp, et al.
Abdominal Radiology (New York)|January 19, 2020
Complementary role of computed tomography texture analysis for differentiation of pancreatic ductal adenocarcinoma from pancreatic neuroendocrine tumors in the portal-venous enhancement phaseChristian Philipp Reinert, Karolin Baumgartner, Tobias Hepp, et al.
Pageof 7

Showing results (11-20 of 61) with videos related to

Sort By:
Pageof 7
Methods of Information in Medicine|September 15, 2016
Approaches to Regularized Regression - A Comparison between Gradient Boosting and the LassoTobias Hepp, Matthias Schmid, Olaf Gefeller, et al.
BMC Bioinformatics|July 29, 2022
Mixture density networks for the indirect estimation of reference intervalsTobias Hepp, Jakob Zierk, Manfred Rauh, et al.
Methods of Information in Medicine|January 12, 2019
Addendum to: Approaches to Regularized Regression - A Comparison between Gradient Boosting and the LassoTobias Hepp, Matthias Schmid, Olaf Gefeller, et al.
BMC Nephrology|April 3, 2020
Accuracy and concordance of measurement methods to assess non-adherence after renal transplantation - a prospective studyMarietta Lieb, Tobias Hepp, Mario Schiffer, et al.
Oncology Research and Treatment|July 8, 2021
A Taxonomy for Psycho-Oncological Intervention Techniques in an Acute Care Hospital in GermanyMartina Madl, Marietta Lieb, Katharina Schieber, et al.
Journal of Medical Imaging (Bellingham, Wash.)|October 18, 2021
Weakly supervised segmentation of tumor lesions in PET-CT hybrid imagingMarcel Früh, Marc Fischer, Andreas Schilling, et al.
Magnetic Resonance in Medicine|January 29, 2024
Predictive uncertainty in deep learning-based MR image reconstruction using deep ensembles: Evaluation on the fastMRI data setThomas Küstner, Kerstin Hammernik, Daniel Rueckert, et al.
BMC Bioinformatics|November 14, 2020
Latent class distributional regression for the estimation of non-linear reference limits from contaminated data sourcesTobias Hepp, Jakob Zierk, Manfred Rauh, et al.
Investigative Radiology|August 16, 2020
Can a Novel Deep Neural Network Improve the Computer-Aided Detection of Solid Pulmonary Nodules and the Rate of False-Positive Findings in Comparison to an Established Machine Learning Computer-Aided Detection?Regine Mariette Perl, Rainer Grimmer, Tobias Hepp, et al.
Abdominal Radiology (New York)|January 19, 2020
Complementary role of computed tomography texture analysis for differentiation of pancreatic ductal adenocarcinoma from pancreatic neuroendocrine tumors in the portal-venous enhancement phaseChristian Philipp Reinert, Karolin Baumgartner, Tobias Hepp, et al.
Pageof 7