Tristan Anselm Kuder

Author

Also Known As

Kuder, Tristan, Kuder, Tristan Anselm, Lars Müller, T Kuder, T. A. Kuder, T. Kuder, T.A. Kuder, Tristan A Kuder, Tristan A. Kuder, Tristan Anselm Kuder

109

Publications

2.3K

Citations

H-Index

Concepts

All Affiliations

Heidelberg University German Cancer Research Center University Hospital Heidelberg Universitätsklinikum Erlangen Friedrich-Alexander-Universität Erlangen-Nürnberg

About

Tristan Anselm Kuder is an author at Heidelberg University specializing in engineering, biomedical imaging, and medical imaging.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	13	16	532
2	Medicine	10	10	262
3	Health Sciences	7	7	165
4	Natural Sciences	1	1	13
5	Public Health	1	1	12

Tristan Anselm Kuder

Publications

Citations

H-Index

Page 1

	Year	Citations
Classification of Cancer at Prostate MRI: Deep Learning versus Clinical PI-RADS Assessment Patrick Schelb, Simon Köhl, Jan Philipp Radtke, Radiology	2019	309
Radiomic Machine Learning for Characterization of Prostate Lesions with MRI: Comparison to ADC Values David Bonekamp, Simon Köhl, Manuel Wiesenfarth, Radiology	2018	204
Evaluation of Diffusion Kurtosis Imaging Versus Standard Diffusion Imaging for Detection and Grading of Peripheral Zone Prostate Cancer Matthias Roethke, Tristan Anselm Kuder, Timur H. Kuru, Investigative Radiology	2015	111
Magnetic Resonance Imaging of Uneven Pulmonary Perfusion in Hypoxia in Humans Christoph Dehnert, F. Risse, Sebastian Ley, American Journal of Respiratory and Critical Care Medicine	2006	103
Radiomics Based on Adapted Diffusion Kurtosis Imaging Helps to Clarify Most Mammographic Findings Suspicious for Cancer Sebastian Bickelhaupt, Paul F. Jaeger, Frederik B. Laun, Radiology	2018	99
Retina U-Net: Embarrassingly Simple Exploitation of Segmentation Supervision for Medical Object Detection Paul F. Jaeger, Simon Köhl, Sebastian Bickelhaupt, arXiv (Cornell University) Convolutional Neural NetworkMedical Image SegmentationEngineeringMachine LearningObject Categorization	2018	99
Determination of the Defining Boundary in Nuclear Magnetic Resonance Diffusion Experiments Frederik B. Laun, Tristan Anselm Kuder, Wolfhard Semmler, Physical Review Letters EngineeringMicroscopyMagnetic ResonancePorous MediumPorous Body	2011	70
Joint Imaging Platform for Federated Clinical Data Analytics Jonas Scherer, Marco Nolden, Jens Kleesiek, JCO Clinical Cancer Informatics	2020	70
Retina U-Net: Embarrassingly Simple Exploitation of Segmentation Supervision for Medical Object Detection Paul F. Jaeger, Simon Köhl, Sebastian Bickelhaupt, Convolutional Neural NetworkMedical Image SegmentationEngineeringMachine LearningObject Categorization	2020	67
Contribution of Dynamic Contrast-enhanced and Diffusion MRI to PI-RADS for Detecting Clinically Significant Prostate Cancer Anoshirwan Andrej Tavakoli, Thomas Hielscher, Patrick Badura, Radiology	2022	57

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