T
Tobias D. Henning
Researcher at University of Cologne
Publications - 51
Citations - 2049
Tobias D. Henning is an academic researcher from University of Cologne. The author has contributed to research in topics: Stem cell & Mesenchymal stem cell. The author has an hindex of 28, co-authored 51 publications receiving 1875 citations. Previous affiliations of Tobias D. Henning include University of California, San Francisco & Technische Universität München.
Papers
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Journal ArticleDOI
Cell tracking with optical imaging
Elizabeth J. Sutton,Tobias D. Henning,Bernd J. Pichler,Christoph Bremer,Heike E. Daldrup-Link +4 more
TL;DR: Different fluorochromes for cell labeling, labeling methods and OI-based cell-tracking techniques will be reviewed with respect to their technical principles, current applications and aims for clinical translation.
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Breast Cancers: MR Imaging of Folate-Receptor Expression with the Folate-Specific Nanoparticle P1133
Reinhard Meier,Tobias D. Henning,Sophie Boddington,Sidhartha Tavri,Sandeep Arora,Guido Piontek,Martina Rudelius,Claire Corot,Heike E. Daldrup-Link +8 more
TL;DR: The FR-targeted USPIO P1133 demonstrates a specific retention in FR-positive breast cancers and may be used as a noninvasive indicator for tumors with poor outcome.
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MR imaging of therapy-induced changes of bone marrow
TL;DR: The MR imaging findings of bone marrow infiltration by hematologic malignancies with special focus on treatment effects will be reviewed, and new specific imaging techniques for the depiction of regulatory events that control blood vessel growth and cell proliferation will be discussed.
Journal ArticleDOI
Volumetric quantitative CT of the spine and hip derived from contrast-enhanced MDCT: conversion factors
TL;DR: With the conversion factors, reliable volumetric BMD measurements can be calculated for the hip and the spine from routine abdominal and pelvic MDCT data sets.
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Atlas-based whole-body segmentation of mice from low-contrast Micro-CT data.
Martin Baiker,Julien Milles,Jouke Dijkstra,Tobias D. Henning,Axel W. Weber,Ivo Que,Eric L. Kaijzel,Clemens W.G.M. Löwik,Johan H. C. Reiber,Boudewijn P. F. Lelieveldt,Boudewijn P. F. Lelieveldt +10 more
TL;DR: This paper presents a fully automated method for atlas-based whole-body segmentation in non-contrast-enhanced Micro-CT data of mice, rendering the method highly robust to exceptionally large postural differences among scans and to moderate pathological bone deformations.