User profiles for Karl Rohr
 | Karl RohrHeidelberg University, DKFZ Heidelberg Verified email at dkfz.de Cited by 15430 |
Objective comparison of particle tracking methods
Particle tracking is of key importance for quantitative analysis of intracellular dynamic
processes from time-lapse microscopy image data. Because manually detecting and following …
processes from time-lapse microscopy image data. Because manually detecting and following …
Towards model-based recognition of human movements in image sequences
K Rohr - CVGIP: Image understanding, 1994 - Elsevier
The interpretation of the movements of articulated bodies in image sequences is one of the
most challenging problems in computer vision. In this contribution, we introduce a model-…
most challenging problems in computer vision. In this contribution, we introduce a model-…
Long-term cancer survival prediction using multimodal deep learning
LA Vale-Silva, K Rohr - Scientific Reports, 2021 - nature.com
The age of precision medicine demands powerful computational techniques to handle high-dimensional
patient data. We present MultiSurv, a multimodal deep learning method for long-…
patient data. We present MultiSurv, a multimodal deep learning method for long-…
Recruitment and activation of a lipid kinase by hepatitis C virus NS5A is essential for integrity of the membranous replication compartment
Hepatitis C virus (HCV) is a major causative agent of chronic liver disease in humans. To gain
insight into host factor requirements for HCV replication, we performed a siRNA screen of …
insight into host factor requirements for HCV replication, we performed a siRNA screen of …
Landmark-based elastic registration using approximating thin-plate splines
K Rohr, HS Stiehl, R Sprengel… - … on medical imaging, 2002 - ieeexplore.ieee.org
The authors consider elastic image registration based on a set of corresponding anatomical
point landmarks and approximating thin-plate splines. This approach is an extension of the …
point landmarks and approximating thin-plate splines. This approach is an extension of the …
An objective comparison of cell-tracking algorithms
We present a combined report on the results of three editions of the Cell Tracking Challenge,
an ongoing initiative aimed at promoting the development and objective evaluation of cell …
an ongoing initiative aimed at promoting the development and objective evaluation of cell …
[BOOK][B] Landmark-based image analysis: using geometric and intensity models
K Rohr - 2001 - books.google.com
Landmarks are preferred image features for a variety of computer vision tasks such as image
mensuration, registration, camera calibration, motion analysis, 3D scene reconstruction, …
mensuration, registration, camera calibration, motion analysis, 3D scene reconstruction, …
A benchmark for comparison of cell tracking algorithms
Motivation: Automatic tracking of cells in multidimensional time-lapse fluorescence microscopy
is an important task in many biomedical applications. A novel framework for objective …
is an important task in many biomedical applications. A novel framework for objective …
Predicting breast tumor proliferation from whole-slide images: the TUPAC16 challenge
Tumor proliferation is an important biomarker indicative of the prognosis of breast cancer
patients. Assessment of tumor proliferation in a clinical setting is a highly subjective and labor-…
patients. Assessment of tumor proliferation in a clinical setting is a highly subjective and labor-…
Dynamics of HIV-1 assembly and release
Assembly and release of human immunodeficiency virus (HIV) occur at the plasma membrane
of infected cells and are driven by the Gag polyprotein. Previous studies analyzed viral …
of infected cells and are driven by the Gag polyprotein. Previous studies analyzed viral …
