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2020 – today
- 2024
[j63]Christian Ritter
, Ji Young Lee, M.-T. Pham, Maruthi Kumar Pabba, M. Cristina Cardoso, Ralf Bartenschlager, Karl Rohr:
Multi-detector fusion and Bayesian smoothing for tracking viral and chromatin structures. Medical Image Anal. 97: 103227 (2024)- [c192]Kerem Celikay, Karl Rohr:
Transformer-Based Neural Network for Joint Affine and Non-Rigid Registration of Temporal Live Cell Microscopy Images. ISBI 2024: 1-5 - [c191]Leonid Kostrykin, Karl Rohr:
Robust Graph Pruning for Efficient Segmentation and Cluster Splitting of Cell Nuclei Using Deformable Shape Models. ISBI 2024: 1-4 - [c190]Moritz Kunzmann, M. Carolina Elizondo-Cantú, Ilka B. Bischofs, Karl Rohr:
Bacteria Tracking and Division Detection Using Graph Neural Networks. ISBI 2024: 1-5 - 2023
- [j62]Christian Ritter, Roman Thielemann, Ji Young Lee, Minh Tu Pham, Ralf Bartenschlager, Karl Rohr:
Multi-Channel Colocalization Analysis and Visualization of Viral Proteins in Fluorescence Microscopy Images. IEEE Access 11: 49772-49784 (2023) - [j61]Leonid Kostrykin, Karl Rohr:
Superadditivity and Convex Optimization for Globally Optimal Cell Segmentation Using Deformable Shape Models. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 3831-3847 (2023) - [c189]Roman Spilger, Ji Young Lee, Minh Tu Pham, Ralf Bartenschlager, Karl Rohr:
Deep Learning Method for Probabilistic Particle Detection and Tracking in Fluorescence Microscopy Images. ISBI 2023: 1-4 - 2022
- [c188]Yu Qiang, Shixu He, Renpeng Ding, Kailong Ma, Yong Hou, Yan Zhou, Karl Rohr:
A Framework for Registration of Multi-modal Spatial Transcriptomics Data. ICPRAI (1) 2022: 134-145 - [c187]Carola Krug, Karl Rohr:
Unsupervised Cell Segmentation in Fluorescence Microscopy Images via Self-supervised Learning. ICPRAI (1) 2022: 236-247 - [c186]Kerem Celikay, Vadim O. Chagin, M. Cristina Cardoso, Karl Rohr:
Denoisereg: Unsupervised Joint Denoising and Registration of Time-Lapse Live Cell Microscopy Images Using Deep Learning. ISBI 2022: 1-4 - [c185]Qi Gao, Vadim O. Chagin, M. Cristina Cardoso, Karl Rohr:
Quantifying Newly Appearing Replication FOCI in Cell Nuclei Based on 3d Non-Rigid Registration. ISBI 2022: 1-4 - [c184]Roman Spilger, Vadim O. Chagin, C. S. Bold, Lothar Schermelleh, U. C. Müller, M. Cristina Cardoso, Karl Rohr:
Deep Neural Network for 3D Particle Detection in 3D Fluorescence Microscopy Images via Density Map Regression. ISBI 2022: 1-4 - [c183]Roman Spilger, Ji Young Lee, Ralf Bartenschlager, Karl Rohr:
Deep Neural Network for Combined Particle Tracking and Colocalization Analysis in Two-Channel Microscopy Images. ISBI 2022: 1-4 - [c182]Royden Wagner, Karl Rohr:
EfficientCellSeg: Efficient Volumetric Cell Segmentation Using Context Aware Pseudocoloring. MIDL 2022: 1311-1321 - [c181]Wenzhe Yin, Vadim O. Chagin, M. Cristina Cardoso, Karl Rohr:
Non-rigid registration of temporal live cell microscopy image sequences using deep learning. Medical Imaging: Image Processing 2022 - [c180]Royden Wagner, Karl Rohr:
CellCentroidFormer: Combining Self-attention and Convolution for Cell Detection. MIUA 2022: 212-222 - [i5]Royden Wagner, Karl Rohr:
EfficientCellSeg: Efficient Volumetric Cell Segmentation Using Context Aware Pseudocoloring. CoRR abs/2204.03014 (2022) - [i4]Royden Wagner, Karl Rohr:
CellCentroidFormer: Combining Self-attention and Convolution for Cell Detection. CoRR abs/2206.00338 (2022) - 2021
- [j60]Thomas Wollmann, Karl Rohr:
Deep Consensus Network: Aggregating predictions to improve object detection in microscopy images. Medical Image Anal. 70: 102019 (2021) - [j59]Roman Spilger, Ji Young Lee, Vadim O. Chagin, Lothar Schermelleh, M. Cristina Cardoso, Ralf Bartenschlager, Karl Rohr:
Deep probabilistic tracking of particles in fluorescence microscopy images. Medical Image Anal. 72: 102128 (2021) - [j58]Christian Ritter, Thomas Wollmann, Ji Young Lee, Andrea Imle, Barbara Müller, Oliver T. Fackler, Ralf Bartenschlager, Karl Rohr:
Data fusion and smoothing for probabilistic tracking of viral structures in fluorescence microscopy images. Medical Image Anal. 73: 102168 (2021) - [c179]Daniela Schacherer, Christian Ritter, Karl Rohr:
Multiple Hypothesis Tracking With Integrated Cell Division Detection. ISBI 2021: 165-168 - [c178]Christian Ritter, Roman Spilger, Ji Young Lee, Ralf Bartenschlager, Karl Rohr:
Deep Learning For Particle Detection And Tracking In Fluorescence Microscopy Images. ISBI 2021: 873-876 - [c177]Ran Li, Qi Gao, Karl Rohr:
Multi-Object Dynamic Memory Network For Cell Tracking in Time-Lapse Microscopy Images. ISBI 2021: 1029-1032 - [c176]Qi Gao, Vadim O. Chagin, M. Cristina Cardoso, Karl Rohr:
Non-Rigid Registration Of Live Cell Nuclei Using Global Optical Flow with Elasticity Constraints. ISBI 2021: 1457-1460 - 2020
- [j57]Roman Spilger, Andrea Imle, Ji Young Lee, Barbara Müller, Oliver T. Fackler, Ralf Bartenschlager, Karl Rohr:
A Recurrent Neural Network for Particle Tracking in Microscopy Images Using Future Information, Track Hypotheses, and Multiple Detections. IEEE Trans. Image Process. 29: 3681-3694 (2020) - [c175]Roman Spilger, Tobias Schwackenhofer, Charlotte Kaspar, Ilka B. Bischofs, Karl Rohr:
Deep Segmentation of Bacteria at Different Stages of the Life Cycle. Bildverarbeitung für die Medizin 2020: 8-13 - [c174]Luís A. Vale Silva, Karl Rohr:
Pan-Cancer Prognosis Prediction Using Multimodal Deep Learning. ISBI 2020: 568-571 - [c173]Christian Ritter, A. Newrly, Sandra Schifferdecker, I. Roggenbach, Barbara Müller, Karl Rohr:
Optimizing Particle Detection by Colocalization Analysis in Multi-Channel Fluorescence Microscopy Images. ISBI 2020: 882-885 - [c172]Roman Spilger, J. Hellgoth, Ji Young Lee, S. Hänselmann, Dirk-Peter Herten, Ralf Bartenschlager, Karl Rohr:
Tracking of Particles in Fluorescence Microscopy Images Using a Spatial Distance Model for Brownian Motion. ISBI 2020: 969-972 - [c171]Christian Ritter, Thomas Wollmann, Ji Young Lee, Ralf Bartenschlager, Karl Rohr:
Deep Learning Particle Detection for Probabilistic Tracking in Fluorescence Microscopy Images. ISBI 2020: 977-980 - [c170]Christian Kromm, Karl Rohr:
Inception Capsule Network for Retinal Blood Vessel Segmentation and Centerline Extraction. ISBI 2020: 1223-1226
2010 – 2019
- 2019
- [j56]Christian Ritter, Thomas Wollmann, Patrick Bernhard, Manuel Gunkel, Delia M. Braun, Ji Young Lee, Jan Meiners, Ronald Simon, Guido Sauter, Holger Erfle, Karsten Rippe, Ralf Bartenschlager, Karl Rohr:
Hyperparameter optimization for image analysis: application to prostate tissue images and live cell data of virus-infected cells. Int. J. Comput. Assist. Radiol. Surg. 14(11): 1847-1857 (2019) - [j55]Mitko Veta, Yujing J. Heng, Nikolas Stathonikos, Babak Ehteshami Bejnordi, Francisco Beca, Thomas Wollmann, Karl Rohr, Manan A. Shah, Dayong Wang, Mikaël Rousson, Martin Hedlund, David Tellez, Francesco Ciompi, Erwan Zerhouni, David Lanyi, Matheus Palhares Viana, Vassili Kovalev, Vitali Liauchuk, Josien P. W. Pluim:
Predicting breast tumor proliferation from whole-slide images: The TUPAC16 challenge. Medical Image Anal. 54: 111-121 (2019) - [j54]Thomas Wollmann, Manuel Gunkel, Inn Chung, Holger Erfle, Karsten Rippe, Karl Rohr:
GRUU-Net: Integrated convolutional and gated recurrent neural network for cell segmentation. Medical Image Anal. 56: 68-79 (2019) - [j53]Leonid Kostrykin, Christoph Schnörr, Karl Rohr:
Globally optimal segmentation of cell nuclei in fluorescence microscopy images using shape and intensity information. Medical Image Anal. 58 (2019) - [j52]Qi Gao, Karl Rohr:
A Global Method for Non-Rigid Registration of Cell Nuclei in Live Cell Time-Lapse Images. IEEE Trans. Medical Imaging 38(10): 2259-2270 (2019) - [c169]Thomas Wollmann, Patrick Bernhard, Manuel Gunkel, Delia M. Braun, Jan Meiners, Ronald Simon, Guido Sauter, Holger Erfle, Karsten Rippe, Karl Rohr:
Black-Box Hyperparameter Optimization for Nuclei Segmentation in Prostate Tissue Images. Bildverarbeitung für die Medizin 2019: 345-350 - [c168]Thomas Wollmann, Christian Ritter, Jan-Niklas Dohrke, Ji Young Lee, Ralf Bartenschlager, Karl Rohr:
Detnet: Deep Neural Network For Particle Detection In Fluorescence Microscopy Images. ISBI 2019: 517-520 - 2018
- [j51]Sharib Ali, Stefan Wörz, Katrin Amunts, Roland Eils, Markus Axer, Karl Rohr:
Rigid and non-rigid registration of polarized light imaging data for 3D reconstruction of the temporal lobe of the human brain at micrometer resolution. NeuroImage 181: 235-251 (2018) - [j50]Wei Liao, Stefan Wörz, Chang-Ki Kang, Zang-Hee Cho, Karl Rohr:
Progressive Minimal Path Method for Segmentation of 2D and 3D Line Structures. IEEE Trans. Pattern Anal. Mach. Intell. 40(3): 696-709 (2018) - [j49]Dmitry V. Sorokin, Igor Peterlík, Marco Tektonidis, Karl Rohr, Pavel Matula:
Non-Rigid Contour-Based Registration of Cell Nuclei in 2-D Live Cell Microscopy Images Using a Dynamic Elasticity Model. IEEE Trans. Medical Imaging 37(1): 173-184 (2018) - [c167]Sharib Ali, Dehui Lin, Markus Axer, Karl Rohr:
Comparison of Self-similarity Measures for Multi-modal Non-rigid Registration of 3D-PLI Brain Images. Bildverarbeitung für die Medizin 2018: 49-54 - [c166]Thomas Wollmann, Julia Ivanova, Manuel Gunkel, Inn Chung, Holger Erfle, Karsten Rippe, Karl Rohr:
Multi-channel Deep Transfer Learning for Nuclei Segmentation in Glioblastoma Cell Tissue Images. Bildverarbeitung für die Medizin 2018: 316-321 - [c165]D. Baltissen, Thomas Wollmann, Manuel Gunkel, Inn Chung, Holger Erfle, Karsten Rippe, Karl Rohr:
Comparison of segmentation methods for tissue microscopy images of glioblastoma cells. ISBI 2018: 396-399 - [c164]Thomas Wollmann, C. S. Eijkman, Karl Rohr:
Adversarial domain adaptation to improve automatic breast cancer grading in lymph nodes. ISBI 2018: 582-585 - [c163]Leonid Kostrykin, Christoph Schnörr, Karl Rohr:
Segmentation of cell nuclei using intensity-based model fitting and sequential convex programming. ISBI 2018: 654-657 - [c162]Sharib Ali, Markus Axer, Katrin Amunts, Roland Eils, Karl Rohr:
Evaluating local features in high-resolution 3D-PLI data. ISBI 2018: 729-733 - [c161]Sharib Ali, Katrin Amunts, Roland Eils, Markus Axer, Karl Rohr:
Scale-bundle spline-based non-rigid registration for handling fissures. ISBI 2018: 762-765 - [c160]Qi Gao, Simon Eck, Jessica Matthias, Inn Chung, Jessica Engelhardt, Karsten Rippe, Karl Rohr:
Bayesian joint super-resolution, deconvolution, and denoising of images with Poisson-Gaussian noise. ISBI 2018: 938-942 - [c159]Christian Ritter, Andrea Imle, Ji Young Lee, Barbara Müller, Oliver T. Fackler, Ralf Bartenschlager, Karl Rohr:
Two-filter probabilistic data association for tracking of virus particles in fluorescence microscopy images. ISBI 2018: 957-960 - [c158]Astha Jaiswal, Konrad Beyer, Friedrich Frischknecht, Karl Rohr:
Multi-channel boosting and multi-scale localization-based tracking of dense malarial sporozoites. ISBI 2018: 977-980 - [c157]Sharib Ali, Martin Schober, Philipp Schlömer, Katrin Amunts, Markus Axer, Karl Rohr:
Towards Ultra-High Resolution 3D Reconstruction of a Whole Rat Brain from 3D-PLI Data. CNI@MICCAI 2018: 1-10 - [c156]Roman Spilger, Thomas Wollmann, Yu Qiang, Andrea Imle, Ji Young Lee, Barbara Müller, Oliver T. Fackler, Ralf Bartenschlager, Karl Rohr:
Deep Particle Tracker: Automatic Tracking of Particles in Fluorescence Microscopy Images Using Deep Learning. DLMIA/ML-CDS@MICCAI 2018: 128-136 - [i3]Mitko Veta, Yujing J. Heng, Nikolas Stathonikos, Babak Ehteshami Bejnordi, Francisco Beca, Thomas Wollmann, Karl Rohr, Manan A. Shah, Dayong Wang, Mikaël Rousson, Martin Hedlund, David Tellez, Francesco Ciompi, Erwan Zerhouni, David Lanyi, Matheus Palhares Viana, Vassili Kovalev, Vitali Liauchuk, Hady Ahmady Phoulady, Talha Qaiser, Simon Graham, Nasir M. Rajpoot, Erik Sjöblom, Jesper Molin, Kyunghyun Paeng, Sangheum Hwang, Sunggyun Park, Zhipeng Jia, Eric I-Chao Chang, Yan Xu, Andrew H. Beck, Paul J. van Diest, Josien P. W. Pluim:
Predicting breast tumor proliferation from whole-slide images: the TUPAC16 challenge. CoRR abs/1807.08284 (2018) - [i2]Sharib Ali, Martin Schober, Philipp Schlömer, Katrin Amunts, Markus Axer, Karl Rohr:
Towards ultra-high resolution 3D reconstruction of a whole rat brain from 3D-PLI data. CoRR abs/1807.11080 (2018) - 2017
- [j48]Marco Tektonidis, Karl Rohr:
Diffeomorphic Multi-Frame Non-Rigid Registration of Cell Nuclei in 2D and 3D Live Cell Images. IEEE Trans. Image Process. 26(3): 1405-1417 (2017) - [c155]Thomas Wollmann, Karl Rohr:
Automatic Grading of Breast Cancer Whole-Slide Histopathology Images. Bildverarbeitung für die Medizin 2017: 249-253 - [c154]Sharib Ali, Karl Rohr, David Gräßel, Philipp Schlömer, Katrin Amunts, Roland Eils, Markus Axer, Stefan Wörz:
Spline-Based Multimodal Image Registration of 3D PLI Data of the Human Brain. Bildverarbeitung für die Medizin 2017: 268-273 - [c153]Artjom Zern, Karl Rohr, Christoph Schnörr:
Geometric Image Labeling with Global Convex Labeling Constraints. EMMCVPR 2017: 533-547 - [c152]Thomas Wollmann, Karl Rohr:
Deep residual Hough voting for mitotic cell detection in histopathology images. ISBI 2017: 341-344 - [c151]Peter Markowsky, Svenja Reith, Tabea E. Zuber, Rainer König, Karl Rohr, Christoph Schnörr:
Segmentation of cell structures using Model-Based Set Covering with iterative reweighting. ISBI 2017: 392-396 - [c150]Sharib Ali, Karl Rohr, Markus Axer, Katrin Amunts, Roland Eils, Stefan Wörz:
Registration of ultra-high resolution 3D PLI data of human brain sections to their corresponding high-resolution counterpart. ISBI 2017: 415-419 - [c149]Qi Gao, Karl Rohr:
Optical flow-based non-rigid registration of cell nuclei: Global model with adaptively weighted regularization. ISBI 2017: 420-423 - [c148]Yu Qiang, Ji Young Lee, Ralf Bartenschlager, Karl Rohr:
Colocalization analysis and particle tracking in multi-channel fluorescence microscopy images. ISBI 2017: 646-649 - [c147]Sharib Ali, Karl Rohr, Markus Axer, David Gräßel, Philipp Schlömer, Katrin Amunts, Roland Eils, Stefan Wörz:
Elastic registration of high-resolution 3D PLI data of the human brain. ISBI 2017: 1151-1155 - [i1]Thomas Wollmann, Karl Rohr:
Automatic breast cancer grading in lymph nodes using a deep neural network. CoRR abs/1707.07565 (2017) - 2016
- [j47]Simon Eck, Stefan Wörz, Katharina Müller-Ott, Matthias Hahn, Andreas Biesdorf, Gunnar Schotta, Karsten Rippe, Karl Rohr:
A spherical harmonics intensity model for 3D segmentation and 3D shape analysis of heterochromatin foci. Medical Image Anal. 32: 18-31 (2016) - [j46]Wei Liao, Karl Rohr, Chang-Ki Kang, Zang-Hee Cho, Stefan Wörz:
Automatic 3D Segmentation and Quantification of Lenticulostriate Arteries from High-Resolution 7 Tesla MRA Images. IEEE Trans. Image Process. 25(1): 400-413 (2016) - [c146]Michael Bromberger, Pascal Bastian, Jan-Philip Bergeest, Christian Conrad, Vincent Heuveline, Karl Rohr, Wolfgang Karl:
FPGA-accelerated Richardson-Lucy deconvolution for 3D image data. ISBI 2016: 132-135 - [c145]Astha Jaiswal, William J. Godinez, Maik Jörg Lehmann, Karl Rohr:
Direct combination of multi-scale detection and multi-frame association for tracking of virus particles in microscopy image data. ISBI 2016: 976-979 - [c144]Stefan Wörz, Philipp Hoegen, Wei Liao, Matthias Müller-Eschner, Hans-Ulrich Kauczor, Hendrik von Tengg-Kobligk, Karl Rohr:
Framework for quantitative evaluation of 3D vessel segmentation approaches using vascular phantoms in conjunction with 3D landmark localization and registration. Medical Imaging: Image Processing 2016: 978419 - 2015
- [j45]Marco Tektonidis, Il-Han Kim, Yi-Chun Chen, Roland Eils, David L. Spector, Karl Rohr:
Non-rigid multi-frame registration of cell nuclei in live cell fluorescence microscopy image data. Medical Image Anal. 19(1): 1-14 (2015) - [j44]Astha Jaiswal, William J. Godinez, Roland Eils, Maik Jörg Lehmann, Karl Rohr:
Tracking Virus Particles in Fluorescence Microscopy Images Using Multi-Scale Detection and Multi-Frame Association. IEEE Trans. Image Process. 24(11): 4122-4136 (2015) - [j43]William J. Godinez, Karl Rohr:
Tracking Multiple Particles in Fluorescence Time-Lapse Microscopy Images via Probabilistic Data Association. IEEE Trans. Medical Imaging 34(2): 415-432 (2015) - [c143]Vaja Liluashvili, Jan-Philip Bergeest, Nathalie Harder, Marika Ziesack, Alper Mutlu, Ilka B. Bischofs, Karl Rohr:
Automatic Single-Cell Segmentation and Tracking of Bacterial Cells in Fluorescence Microscopy Images. Bildverarbeitung für die Medizin 2015: 239-244 - [c142]William J. Godinez, Karl Rohr:
Tracking virus particles in fluorescence microscopy images via a particle Kalman filter. ISBI 2015: 532-535 - [c141]William J. Godinez, Konstantinos Lymperopoulos, Dirk-Peter Herten, Karl Rohr:
Motion analysis of receptors and ligands in high resolution fluorescence microscopy images. ISBI 2015: 703-706 - [c140]Andreas Biesdorf, Stefan Wörz, Hendrik von Tengg-Kobligk, Karl Rohr, Christoph Schnörr:
3D segmentation of vessels by incremental implicit polynomial fitting and convex optimization. ISBI 2015: 1540-1543 - [c139]Stefan Wörz, Hendrik von Tengg-Kobligk, Karl Rohr:
3D statistical models of the aorta and the supra-aortic branches. ISBI 2015: 1572-1575 - 2014
- [j42]Martin Maska, Vladimír Ulman, David Svoboda, Pavel Matula, Petr Matula, Cristina Ederra, Ainhoa Urbiola, Tomás España, Subramanian Venkatesan, Deepak M. W. Balak, Pavel Karas, Tereza Bolcková, Markéta Streitová, Craig Carthel, Stefano Coraluppi, Nathalie Harder, Karl Rohr, Klas E. G. Magnusson, Joakim Jaldén, Helen M. Blau, Oleh Dzyubachyk, Pavel Krízek, Guy M. Hagen, David Pastor-Escuredo, Daniel Jimenez-Carretero, María J. Ledesma-Carbayo, Arrate Muñoz-Barrutia, Erik Meijering, Michal Kozubek, Carlos Ortiz-de-Solorzano:
A benchmark for comparison of cell tracking algorithms. Bioinform. 30(11): 1609-1617 (2014) - [j41]Stefan Wörz, Karl Rohr:
Spline-Based Hybrid Image Registration using Landmark and Intensity Information based on Matrix-Valued Non-radial Basis Functions. Int. J. Comput. Vis. 106(1): 76-92 (2014) - [j40]Apichat Suratanee, Martin H. Schaefer, Matthew J. Betts, Zita Soons, Heiko A. Mannsperger, Nathalie Harder, Marcus Oswald, Markus Gipp, Ellen Ramminger, Guillermo Marcus Martinez, Reinhard Männer, Karl Rohr, Erich E. Wanker, Robert B. Russell, Miguel A. Andrade-Navarro, Roland Eils, Rainer König:
Characterizing Protein Interactions Employing a Genome-Wide siRNA Cellular Phenotyping Screen. PLoS Comput. Biol. 10(9) (2014) - [c138]Stefan Wörz, Abdulsattar Alrajab, Raoul Arnold, Joachim Eichhorn, Hendrik von Tengg-Kobligk, Jens-Peter Schenk, Karl Rohr:
Quantification of the Aortic Morphology in Follow-Up 3D-MRA Images of Children. Bildverarbeitung für die Medizin 2014: 192-197 - [c137]Julian Hennies, Jan-Philip Bergeest, Simon Eck, Karl Rohr, Stefan Wörz:
Cell Segmentation and Cell Splitting Based on Gradient Flow Tracking in Microscopic Images. Bildverarbeitung für die Medizin 2014: 409-414 - [c136]Jan-Philip Bergeest, Karl Rohr:
Segmentation of cell nuclei in 3D microscopy images based on level set deformable models and convex minimization. ISBI 2014: 637-640 - [c135]Dmitry V. Sorokin, Marco Tektonidis, Karl Rohr, Pavel Matula:
Non-rigid contour-based temporal registration of 2D cell nuclei images using the Navier equation. ISBI 2014: 746-749 - [c134]Simon Eck, Stefan Wörz, Katharina Müller-Ott, Matthias Hahn, Gunnar Schotta, Karsten Rippe, Karl Rohr:
3D shape analysis of heterochromatin foci based on a 3D spherical harmonics intensity model. Medical Imaging: Image Processing 2014: 90340X - [c133]Stefan Wörz, Abdulsattar Alrajab, Raoul Arnold, Joachim Eichhorn, Hendrik von Tengg-Kobligk, Jens-Peter Schenk, Karl Rohr:
3D geometric analysis of the aorta in 3D MRA follow-up pediatric image data. Medical Imaging: Image Processing 2014: 90340K - 2013
- [c132]Simon Eck, Stefan Wörz, Andreas Biesdorf, Katharina Müller-Ott, Karsten Rippe, Karl Rohr:
Segmentation of Heterochromatin Foci Using a 3D Spherical Harmonics Intensity Model. Bildverarbeitung für die Medizin 2013: 308-313 - [c131]Simon Eck, Karl Rohr, Andreas Biesdorf, Katharina Müller-Ott, Karsten Rippe, Stefan Wörz:
A 3D intensity model based on spherical harmonics for automatic 3D segmentation of heterochromatin foci. ISBI 2013: 1484-1487 - [c130]Wei Liao, Karl Rohr, Stefan Wörz:
Globally Optimal Curvature-Regularized Fast Marching for Vessel Segmentation. MICCAI (1) 2013: 550-557 - 2012
- [j39]Andreas Biesdorf, Karl Rohr, Duan Feng, Hendrik von Tengg-Kobligk, Fabian Rengier, Dittmar Böckler, Hans-Ulrich Kauczor, Stefan Wörz:
Segmentation and quantification of the aortic arch using joint 3D model-based segmentation and elastic image registration. Medical Image Anal. 16(6): 1187-1201 (2012) - [j38]Jan-Philip Bergeest, Karl Rohr:
Efficient globally optimal segmentation of cells in fluorescence microscopy images using level sets and convex energy functionals. Medical Image Anal. 16(7): 1436-1444 (2012) - [j37]William J. Godinez, Marko Lampe, Peter Koch, Roland Eils, Barbara Müller, Karl Rohr:
Identifying Virus-Cell Fusion in Two-Channel Fluorescence Microscopy Image Sequences Based on a Layered Probabilistic Approach. IEEE Trans. Medical Imaging 31(9): 1786-1808 (2012) - [c129]Wei Liao, Stefan Wörz, Karl Rohr:
Globally Minimal Path Method Using Dynamic Speed Functions Based on Progressive Wave Propagation. ACCV (2) 2012: 25-37 - [c128]Simon Eck, Karl Rohr, Katharina Müller-Ott, Karsten Rippe, Stefan Wörz:
Combined Model-Based and Region-Adaptive 3D Segmentation and 3D Co-Localization Analysis of Heterochromatin Foci. Bildverarbeitung für die Medizin 2012: 9-14 - [c127]Astha Jaiswal, William J. Godinez, Roland Eils, Maik Jörg Lehmann, Karl Rohr:
Tracking Virus Particles in Microscopy Images Using Multi-Frame Association. Bildverarbeitung für die Medizin 2012: 231-236 - [c126]Nathalie Harder, Richa Batra, Sina Gogolin, Nicolle Diessl, Roland Eils, Frank Westermann, Rainer König, Karl Rohr:
Cell Tracking for Automatic Migration and Proliferation Analysis in High-Throughput Screens. Bildverarbeitung für die Medizin 2012: 243-248 - [c125]Vasil Tsimashchuk, William J. Godinez, Maik Jörg Lehmann, Karl Rohr:
Analysis of viral surfing based on fluorescence microscopy imaging and automatic tracking. ISBI 2012: 378-381 - [c124]Marco Tektonidis, Il-Han Kim, Karl Rohr:
Non-rigid multi-frame registration of live cell microscopy images. ISBI 2012: 438-441 - [c123]Karl Rohr, Stefan Wörz:
An extension of thin-plate splines for image registration with radial basis functions. ISBI 2012: 442-445 - [c122]Astha Jaiswal, William J. Godinez, Roland Eils, Maik Jörg Lehmann, Karl Rohr:
Tracking virus particles in fluorescence microscopy images using two-step multi-frame association. ISBI 2012: 664-667 - [c121]Wei Liao, Karl Rohr, Chang-Ki Kang, Zang-Hee Cho, Stefan Wörz:
Automatic human brain vessel segmentation from 3D 7 Tesla MRA images using fast marching with anisotropic directional prior. ISBI 2012: 1140-1143 - [c120]Stefan Wörz, Andreas Biesdorf, Karl Rohr:
Elastic registration based on matrix-valued spline functions and direct integration of landmarks and intensities. Medical Imaging: Image Processing 2012: 83141B - [c119]Wei Liao, Stefan Wörz, Karl Rohr:
Vessel segmentation using an iterative fast marching approach with directional prior. Medical Imaging: Image Processing 2012: 831426 - 2011
- [j36]Bettina Knapp, Ilka Rebhan, Anil Kumar, Petr Matula, Narsis Aftab Kiani, Marco Binder, Holger Erfle, Karl Rohr, Roland Eils, Ralf Bartenschlager, Lars Kaderali:
Normalizing for individual cell population context in the analysis of high-content cellular screens. BMC Bioinform. 12: 485 (2011) - [j35]Il-Han Kim, Yi-Chun Chen, David L. Spector, Roland Eils, Karl Rohr:
Nonrigid Registration of 2-D and 3-D Dynamic Cell Nuclei Images for Improved Classification of Subcellular Particle Motion. IEEE Trans. Image Process. 20(4): 1011-1022 (2011) - [c118]Stefan Wörz, Hendrik von Tengg-Kobligk, Karl Rohr:
Model-Based Quantification of Small Tubular Structures in 3D Vascular Images. Bildverarbeitung für die Medizin 2011: 23-27 - [c117]Nathalie Harder, Megan Bodnar, Roland Eils, David L. Spector, Karl Rohr:
3D Segmentation and Quantification of Mouse Embryonic Stem Cells in Fluorescence Microscopy Images. Bildverarbeitung für die Medizin 2011: 34-38 - [c116]Andreas Biesdorf, Karl Rohr, Hendrik von Tengg-Kobligk, Stefan Wörz:
Aortic Arch Quantification using Efficient Joint Segmentation and Registration. Bildverarbeitung für die Medizin 2011: 279-283 - [c115]Il-Han Kim, Catharina Cadmus, Andrea C. Pfeifer, Ursula Klingmüller, Roland Eils, Karl Rohr:
Quantification of frap experiments in live cell image sequences by combining segmentation and registration. ISBI 2011: 212-215 - [c114]Nathalie Harder, Megan Bodnar, Roland Eils, David L. Spector, Karl Rohr:
3D segmentation and quantification of mouse embryonic stem cells in fluorescence microscopy images. ISBI 2011: 216-219 - [c113]William J. Godinez, Marko Lampe, Roland Eils, Barbara Müller, Karl Rohr:
Tracking multiple particles in fluorescence microscopy images via probabilistic data association. ISBI 2011: 1925-1928 - [c112]Wei Liao, Karl Rohr, Chang-Ki Kang, Zang-Hee Cho, Stefan Wörz:
A generative MRF approach for automatic 3D segmentation of cerebral vasculature from 7 Tesla MRA images. ISBI 2011: 2041-2044 - [c111]Andreas Biesdorf, Stefan Wörz, Tobias Müller, Tim Frederik Weber, Tobias Heye, Waldemar Hosch, Hendrik von Tengg-Kobligk, Karl Rohr:
Model-Based Segmentation and Motion Analysis of the Thoracic Aorta from 4D ECG-Gated CTA Images. MICCAI (1) 2011: 589-596 - [c110]Jan-Philip Bergeest, Karl Rohr:
Fast Globally Optimal Segmentation of Cells in Fluorescence Microscopy Images. MICCAI (1) 2011: 645-652 - 2010
- [j34]Apichat Suratanee, Ilka Rebhan, Petr Matula, Anil Kumar, Lars Kaderali, Karl Rohr, Ralf Bartenschlager, Roland Eils, Rainer König:
Detecting host factors involved in virus infection by observing the clustering of infected cells in siRNA screening images. Bioinform. 26(18) (2010) - [j33]Stefan Wörz, Hendrik von Tengg-Kobligk, Verena Henninger, Fabian Rengier, Hardy Schumacher, Dittmar Böckler, Hans-Ulrich Kauczor, Karl Rohr:
3-D Quantification of the Aortic Arch Morphology in 3-D CTA Data for Endovascular Aortic Repair. IEEE Trans. Biomed. Eng. 57(10): 2359-2368 (2010) - [j32]Stefan Wörz, Petra Sander, Martin Pfannmöller, Ralf J. Rieker, Stefan Joos, Gunhild Mechtersheimer, Petra Boukamp, Peter Lichter, Karl Rohr:
3D Geometry-Based Quantification of Colocalizations in Multichannel 3D Microscopy Images of Human Soft Tissue Tumors. IEEE Trans. Medical Imaging 29(8): 1474-1484 (2010) - [c109]Nathalie Harder, Felipe Mora-Bermúdez, William J. Godinez, Annelie Wünsche, Jan Ellenberg, Roland Eils, Karl Rohr:
Automatic Analysis of Live Cell Image Sequences to determine Temporal Mitotic Phenotypes. Bildverarbeitung für die Medizin 2010: 81-85 - [c108]Stefan Wörz, Petra Sander, Martin Pfannmöller, Ralf J. Rieker, Stefan Joos, Gunhild Mechtersheimer, Petra Boukamp, Peter Lichter, Karl Rohr:
Model-Based Segmentation and Colocalization Quantification in 3D Microscopy Images. Bildverarbeitung für die Medizin 2010: 86-91 - [c107]Andreas Biesdorf, Karl Rohr, Hendrik von Tengg-Kobligk, Stefan Wörz:
Combined Model-Based Segmentation and Elastic Registration for Accurate Quantification of the Aortic Arch. MICCAI (1) 2010: 444-451 - [c106]Stefan Wörz, Hendrik von Tengg-Kobligk, Karl Rohr:
A new 3D tubular intensity model for quantification of thin vessels in 3D tomographic images. Medical Imaging: Image Processing 2010: 76230P
2000 – 2009
- 2009
- [j31]William J. Godinez, Marko Lampe, Stefan Wörz, Barbara Müller, Roland Eils, Karl Rohr:
Deterministic and probabilistic approaches for tracking virus particles in time-lapse fluorescence microscopy image sequences. Medical Image Anal. 13(2): 325-342 (2009) - [c105]Stefan Wörz, William J. Godinez, Karl Rohr:
Probabilistic Tracking and Model-Based Segmentation of 3D Tubular Structures. Bildverarbeitung für die Medizin 2009: 41-45 - [c104]Thomas Lange, Stefan Wörz, Karl Rohr, Peter-Michael Schlag:
Landmark-Based 3D Elastic Registration of Pre- and Postoperative Liver CT Data. Bildverarbeitung für die Medizin 2009: 107-111 - [c103]Andreas Biesdorf, Stefan Wörz, Hans-Jürgen Kaiser, Karl Rohr:
Hybrid Spline-Based Multimodal Registration Using a Local Measure for Mutual Information. Bildverarbeitung für die Medizin 2009: 127-131 - [c102]Stefan Wörz, Hendrik von Tengg-Kobligk, Verena Henninger, Dittmar Böckler, Hans-Ulrich Kauczor, Karl Rohr:
3D Segmentation and Quantification of the Aortic Arch for Endovascular Aortic Repair. Bildverarbeitung für die Medizin 2009: 162-166 - [c101]William J. Godinez, Marko Lampe, Stefan Wörz, Barbara Müller, Roland Eils, Karl Rohr:
Evaluation of Approaches for Tracking Virus Particles in Fluorescence Microscopy Images. Bildverarbeitung für die Medizin 2009: 207-211 - [c100]Markus Gipp, Guillermo Marcus Martinez, Nathalie Harder, Apichat Suratanee, Karl Rohr, Rainer König, Reinhard Männer:
Haralick's Texture Features Computation Accelerated by GPUs for Biological Applications. HPSC 2009: 127-137 - [c99]Andreas Biesdorf, Stefan Wörz, Hendrik von Tengg-Kobligk, Karl Rohr:
Automatic Detection of Supraaortic Branches and Model-Based Segmentation of the Aortic Arch from 3D CTA Images. ISBI 2009: 486-489 - [c98]William J. Godinez, Marko Lampe, Stefan Wörz, Roland Eils, Barbara Müller, Karl Rohr:
Identifying Fusion Events in Fluorescence Microscopy Images. ISBI 2009: 1167-1170 - [c97]Andreas Biesdorf, Stefan Wörz, Hans-Jürgen Kaiser, Christoph Stippich, Karl Rohr:
Hybrid Spline-Based Multimodal Registration Using Local Measures for Joint Entropy and Mutual Information. MICCAI (1) 2009: 607-615 - [c96]Thomas Lange, Stefan Wörz, Karl Rohr, Peter M. Schlag:
Experimental comparison of landmark-based methods for 3D elastic registration of pre- and postoperative liver CT data. Medical Imaging: Image-Guided Procedures 2009: 72610M - [c95]Stefan Wörz, William J. Godinez, Karl Rohr:
Segmentation of 3D tubular structures based on 3D intensity models and particle filter tracking. Medical Imaging: Image Processing 2009: 72591P - 2008
- [j30]Stefan Wörz, Karl Rohr:
Physics-based elastic registration using non-radial basis functions and including landmark localization uncertainties. Comput. Vis. Image Underst. 111(3): 263-274 (2008) - [j29]Stefan Wörz, Karl Rohr:
Cramér-Rao Bounds for Estimating the Position and Width of 3D Tubular Structures and Analysis of Thin Structures with Application to Vascular Images. J. Math. Imaging Vis. 30(2): 167-180 (2008) - [j28]Siwei Yang, Daniela Köhler, Kathrin Teller, Thomas Cremer, Patricia Le Baccon, Edith Heard, Roland Eils, Karl Rohr:
Nonrigid Registration of 3-D Multichannel Microscopy Images of Cell Nuclei. IEEE Trans. Image Process. 17(4): 493-499 (2008) - [c94]Stefan Wörz, Marie-Luise Winz, Karl Rohr:
Geometric Alignment of 2D Gel Electrophoresis Images. Bildverarbeitung für die Medizin 2008: 97-101 - [c93]William J. Godinez, Marko Lampe, Stefan Wörz, Barbara Müller, Roland Eils, Karl Rohr:
Probabilistic Tracking of Virus Particles in Fluorescence Microscopy Image Sequences. Bildverarbeitung für die Medizin 2008: 448-452 - [c92]Petr Matula, Anil Kumar, Ilka Wörz, Nathalie Harder, Holger Erfle, Ralf Bartenschlager, Roland Eils, Karl Rohr:
Automated Analysis of siRNA Screens of Virus Infected Cells Based on Immunofluorescence Microscopy. Bildverarbeitung für die Medizin 2008: 453-457 - [c91]William J. Godinez, Marko Lampe, Stefan Wörz, Barbara Müller, Roland Eils, Karl Rohr:
Probabilistic tracking of virus particles in fluorescence microscopy images. ISBI 2008: 272-275 - [c90]Stefan Wörz, Marie-Luise Winz, Karl Rohr:
Geometric alignment of 2D gel electrophoresis images using physics-based elastic registration. ISBI 2008: 1135-1138 - [c89]Stefan Wörz, Hendrik von Tengg-Kobligk, Verena Henninger, Dittmar Böckler, Hans-Ulrich Kauczor, Karl Rohr:
Quantification of the aortic arch morphology in 3D CTA images for endovascular aortic repair (EVAR). Medical Imaging: Image-Guided Procedures 2008: 69181H - [c88]Stefan Wörz, Karl Rohr:
Hybrid physics-based elastic image registration using approximating splines. Medical Imaging: Image Processing 2008: 69140V - 2007
- [j27]Karl Rohr:
Theoretical Limits of Localizing 3-D Landmarks and Features. IEEE Trans. Biomed. Eng. 54(9): 1613-1620 (2007) - [j26]Stefan Wörz, Karl Rohr:
Segmentation and Quantification of Human Vessels Using a 3-D Cylindrical Intensity Model. IEEE Trans. Image Process. 16(8): 1994-2004 (2007) - [c87]William J. Godinez, Marko Lampe, Stefan Wörz, Barbara Müller, Roland Eils, Karl Rohr:
Tracking of Virus Particles in Time-Lapse Fluorescence Microscopy Image Sequences. Bildverarbeitung für die Medizin 2007: 6-10 - [c86]Il-Han Kim, Siwei Yang, Patricia Le Baccon, Edith Heard, Constantin Kappel, Roland Eils, Karl Rohr:
Non-rigid Temporal Alignment of 2D and 3D Multi-channel Microscopy Image Sequences of Human Cells. Bildverarbeitung für die Medizin 2007: 16-20 - [c85]Evgeny Gladilin, Karl Rohr, Roland Eils:
On Validation of Non-physical Techniques for Elastic Image Registration. Bildverarbeitung für die Medizin 2007: 111-115 - [c84]Stefan Wörz, Karl Rohr:
Hybrid Spline-Based Elastic Image Registration Using Analytic Solutions of the Navier Equation. Bildverarbeitung für die Medizin 2007: 151-155 - [c83]Nathalie Harder, Felipe Mora-Bermúdez, William J. Godinez, Jan Ellenberg, Roland Eils, Karl Rohr:
Determination of Mitotic Delays in 3D Fluorescence Microscopy Images of Human Cells Using an Error-Correcting Finite State Machine. Bildverarbeitung für die Medizin 2007: 242-246 - [c82]Evgeny Gladilin, Sandra Götze, Jose Mateos-Langerak, Roel van Driel, Karl Rohr, Roland Eils:
Stochastical Analysis of Finite Point Sampling of 3D Chromatin Fiber in Interphase Cell Nuclei. BIRD 2007: 104-118 - [c81]Evgeny Gladilin, Sandra Götze, Jose Mateos-Langerak, Roel van Driel, Karl Rohr, Roland Eils:
Geometrical probability approach for analysis of 3D chromatin structure in interphase cell nuclei. CIBCB 2007: 127-134 - [c80]Siwei Yang, Sandra Götze, Julio Mateos-Langerak, Roel van Driel, Roland Eils, Karl Rohr:
Analyzing the Variability of the 3D Structure of Chromatin Fiber Using Statistical Shape Theory. DAGM-Symposium 2007: 497-506 - [c79]Stefan Wörz, Karl Rohr:
Spline-Based Elastic Image Registration with Matrix-Valued Basis Functions Using Landmark and Intensity Information. DAGM-Symposium 2007: 537-546 - [c78]William J. Godinez, Marko Lampe, Stefan Wörz, Barbara Müller, Roland Eils, Karl Rohr:
Tracking of Virus Particles in Time-Lapse Fluorescence Microscopy Image Sequences. ISBI 2007: 256-259 - [c77]Nathalie Harder, Felipe Mora-Bermúdez, William J. Godinez, Jan Ellenberg, Roland Eils, Karl Rohr:
Determination of Mitotic Delays in 3d Fluorescence Microscopy Images of Human Cells Using an Error-Correcting Finite State Machine. ISBI 2007: 1044-1047 - [c76]Il-Han Kim, Siwei Yang, Patricia Le Baccon, Edith Heard, Yi-Chun Chen, David L. Spector, Constantin Kappel, Roland Eils, Karl Rohr:
Non-Rigid Temporal Registration of 2d and 3d Multi-Channel Microscopy Image Sequences of Human Cells. ISBI 2007: 1328-1331 - [c75]Siwei Yang, Sandra Götze, Julio Mateos-Langerak, Roel van Driel, Roland Eils, Karl Rohr:
Variability Analysis of the Large-Scale Structure of Interphase Chromatin Fiber Based on Statistical Shape Theory. MDA 2007: 37-46 - [c74]Il-Han Kim, William J. Godinez, Nathalie Harder, Felipe Mora-Bermúdez, Jan Ellenberg, Roland Eils, Karl Rohr:
Compensation of global movement for improved tracking of cells in time-lapse confocal microscopy image sequences. Medical Imaging: Image Processing 2007: 65121R - [c73]Stefan Wörz, Karl Rohr:
Spline-based elastic image registration using solutions of the Navier equation. Medical Imaging: Image Processing 2007: 651204 - [c72]Stefan Wörz, Constantin Kappel, Roland Eils, Karl Rohr:
Model-based segmentation and quantification of fluorescent bacteria in 3D microscopy live cell images. Medical Imaging: Image Processing 2007: 651234 - 2006
- [j25]Evgeny Gladilin, Vladimir Pekar, Karl Rohr, H. Siegfried Stiehl:
A comparison between BEM and FEM for elastic registration of medical images. Image Vis. Comput. 24(4): 375-379 (2006) - [j24]Stefan Wörz, Karl Rohr:
Localization of anatomical point landmarks in 3D medical images by fitting 3D parametric intensity models. Medical Image Anal. 10(1): 41-58 (2006) - [c71]Stefan Wörz, Karl Rohr:
Limits on Estimating the Width of Thin Vessels in 3D Medical Images. Bildverarbeitung für die Medizin 2006: 186-190 - [c70]Stefan Wörz, Karl Rohr:
New Approximating Gaussian Elastic Body Splines for Landmark-Based Registration of Medical Images. Bildverarbeitung für die Medizin 2006: 206-210 - [c69]Siwei Yang, Daniela Köhler, Kathrin Teller, Thomas Cremer, Roland Eils, Karl Rohr:
Non-rigid Registration of 3D Microscopy Images for the Normalization of Different Cell Nuclei. Bildverarbeitung für die Medizin 2006: 364-368 - [c68]Nathalie Harder, Beate Neumann, Michael Held, Urban Liebel, Holger Erfle, Jan Ellenberg, Roland Eils, Karl Rohr:
Automated Analysis of Mitotic Phenotypes in Fluorescence Microscopy Images of Human Cells. Bildverarbeitung für die Medizin 2006: 374-378 - [c67]Evgeny Gladilin, Roland Eils, Karl Rohr:
3D Formnormalisierung von Zellkernen mit Hilfe einer elastischen Kugelabbildung. Bildverarbeitung für die Medizin 2006: 384-388 - [c66]Vassili Kovalev, Nathalie Harder, Beate Neumann, Michael Held, Urban Liebel, Holger Erfle, Jan Ellenberg, Roland Eils, Karl Rohr:
Feature Selection for Evaluating Fluorescence Microscopy Images in Genome-Wide Cell Screens. CVPR (1) 2006: 276-283 - [c65]Hendrik Belitz, Karl Rohr, Heinrich Müller, Gudrun Wagenknecht:
First results of an automated model-based segmentation system for subcortical structures in human brain MRI data. ISBI 2006: 402-405 - [c64]Nathalie Harder, Beate Neumann, Michael Held, Urban Liebel, Holger Erfle, Jan Ellenberg, Roland Eils, Karl Rohr:
Automated recognition of mitotic patterns in fluorescence microscopy images of human cells. ISBI 2006: 1016-1019 - [c63]Karl Rohr, Stefan Wörz:
High-precision localization and quantification of 3D tubular structures. ISBI 2006: 1160-1163 - [c62]Stefan Wörz, Karl Rohr:
Limits on Estimating the Width of Thin Tubular Structures in 3D Images. MICCAI (1) 2006: 215-222 - [c61]Stefan Wörz, Karl Rohr:
Physics-Based Elastic Image Registration Using Splines and Including Landmark Localization Uncertainties. MICCAI (2) 2006: 678-685 - [c60]Nathalie Harder, Felipe Mora-Bermúdez, William J. Godinez, Jan Ellenberg, Roland Eils, Karl Rohr:
Automated Analysis of the Mitotic Phases of Human Cells in 3D Fluorescence Microscopy Image Sequences. MICCAI (1) 2006: 840-848 - [c59]Siwei Yang, Daniela Köhler, Kathrin Teller, Thomas Cremer, Patricia Le Baccon, Edith Heard, Roland Eils, Karl Rohr:
Non-rigid Registration of 3D Multi-channel Microscopy Images of Cell Nuclei. MICCAI (1) 2006: 907-914 - [c58]Evgeny Gladilin, Sandra Götze, Julio Mateos-Langerak, Roel van Driel, Roland Eils, Karl Rohr:
Topological analysis of 3D cell nuclei using finite element template-based spherical mapping. Medical Imaging: Image Processing 2006: 61444V - 2005
- [j23]Sönke Frantz, Karl Rohr, H. Siegfried Stiehl:
Development and validation of a multi-step approach to improved detection of 3D point landmarks in tomographic images. Image Vis. Comput. 23(11): 956-971 (2005) - [j22]Jan Kohlrausch, Karl Rohr, H. Siegfried Stiehl:
A New Class of Elastic Body Splines for Nonrigid Registration of Medical Images. J. Math. Imaging Vis. 23(3): 253-280 (2005) - [c57]Joaquín Castellanos, Karl Rohr, Thomas Tolxdorff, Gudrun Wagenknecht:
De-noising MRI Data - An Iterative Method for Filter Parameter Optimization. Bildverarbeitung für die Medizin 2005: 40-44 - [c56]Stefan Wörz, Karl Rohr:
Adaptive Model-Based Segmentation of Human Vessels from 3D MRA and CTA Data. Bildverarbeitung für die Medizin 2005: 103-107 - [c55]Hendrik Belitz, Karl Rohr, Heinrich Müller, Gudrun Wagenknecht:
Automatische, modellbasierte Segmentierung subkortikaler Areale aus MRT-Daten des menschlichen Gehirns: Erste Ergebnisse. Bildverarbeitung für die Medizin 2005: 118-122 - [c54]Karl Rohr:
Fundamental Limits in 3D Landmark Localization. IPMI 2005: 286-298 - [c53]Joaquín Castellanos, Karl Rohr, Thomas Tolxdorff, Gudrun Wagenknecht:
Automatic Parameter Optimization for De-noising MR Data. MICCAI (2) 2005: 320-327 - 2004
- [j21]Karl Rohr, Pascal Cathier, Stefan Wörz:
Elastic registration of electrophoresis images using intensity information and point landmarks. Pattern Recognit. 37(5): 1035-1048 (2004) - [c52]Stefan Wörz, Karl Rohr:
3D Parametric Intensity Models for Accurate Segmentation and Quantification of Human Arteries. Bildverarbeitung für die Medizin 2004: 85-89 - [c51]Stefan Wörz, Karl Rohr:
Automatic ROI Size Selection and Parameter Initialization for Model-Based Localization of 3D Anatomical Point Landmarks. Bildverarbeitung für die Medizin 2004: 333-337 - [c50]Stefan Wörz, Karl Rohr:
3D Segmentation and Quantification of Human Vessels Based on a New 3D Parametric Intensity Model. DAGM-Symposium 2004: 111-119 - [c49]Pascal Cathier, Stefan Wörz, Karl Rohr:
Elastic Registration of Gel Electrophoresis Images Based on Landmarks and Intensities. ISBI 2004: 1451-1454 - [c48]Stefan Wörz, Karl Rohr:
A New 3D Parametric Intensity Model for Accurate Segmentation and Quantification of Human Vessels. MICCAI (1) 2004: 491-499 - 2003
- [j20]Ian Cloete, Karl Rohr:
Knowledge-based neurocomputing in medicine. Artif. Intell. Medicine 28(2): 117-119 (2003) - [j19]Karl Rohr, Mike Fornefett, H. Siegfried Stiehl:
Spline-based elastic image registration: integration of landmark errors and orientation attributes. Comput. Vis. Image Underst. 90(2): 153-168 (2003) - [j18]Thorsten Behrens, Karl Rohr, H. Siegfried Stiehl:
Robust segmentation of tubular structures in 3-D medical images by parametric object detection and tracking. IEEE Trans. Syst. Man Cybern. Part B 33(4): 554-561 (2003) - [c47]Stefan Wörz, Karl Rohr:
Localization of Anatomical Point Landmarks in 3D Medical Images by Fitting 3D Parametric Intensity Models. Bildverarbeitung für die Medizin 2003: 6-10 - [c46]Ren Hui Gong, Stefan Wörz, Karl Rohr:
Segmentation of Coronary Arteries of the Human Heart from 3D Medical Images. Bildverarbeitung für die Medizin 2003: 66-70 - [c45]Stefan Wörz, Karl Rohr:
3D Parametric Intensity Models for the Localization of Different Types of 3D Anatomical Point Landmarks in Tomographic Images. DAGM-Symposium 2003: 220-227 - [c44]Stefan Wörz, Karl Rohr:
Localization of Anatomical Point Landmarks in 3D Medical Images by Fitting 3D Parametric Intensity Models. IPMI 2003: 76-88 - 2002
- [j17]Thomas Hartkens, Karl Rohr, H. Siegfried Stiehl:
Evaluation of 3D Operators for the Detection of Anatomical Point Landmarks in MR and CT Images. Comput. Vis. Image Underst. 86(2): 118-136 (2002) - [j16]Alexander Hagemann, Karl Rohr, H. Siegfried Stiehl:
Coupling of fluid and elastic models for biomechanical simulations of brain deformations using FEM. Medical Image Anal. 6(4): 375-388 (2002) - [c43]Manfred Alker, Sönke Frantz, Karl Rohr, H. Siegfried Stiehl:
Hybrid Optimization for 3D Landmark Extraction: Genetic Algorithms and Conjugate Gradient Method. Bildverarbeitung für die Medizin 2002: 314-317 - 2001
- [b2]Karl Rohr:
Landmark-Based Image Analysis - Using Geometric and Intensity Models. Computational Imaging and Vision 21, Springer 2001, ISBN 978-90-481-5630-6, pp. 1-305 - [j15]Mike Fornefett, Karl Rohr, H. Siegfried Stiehl:
Radial basis functions with compact support for elastic registration of medical images. Image Vis. Comput. 19(1-2): 87-96 (2001) - [j14]Karl Rohr, H. Siegfried Stiehl, Rainer Sprengel, Thorsten M. Buzug, Jürgen Weese, M. H. Kuhn:
Landmark-Based Elastic Registration Using Approximating Thin-Plate Splines. IEEE Trans. Medical Imaging 20(6): 526-534 (2001) - [c42]Jan Kohlrausch, Karl Rohr, H. Siegfried Stiehl:
A New Class of Elastic Body Splines for Nonrigid Registration of Medical Images. Bildverarbeitung für die Medizin 2001: 164-168 - [c41]Sönke Frantz, Karl Rohr, H. Siegfried Stiehl:
Using Deformable Models for the Localization of 3D Anatomical Point Landmarks in 3D Tomographic Images. Bildverarbeitung für die Medizin 2001: 197-201 - [c40]Manfred Alker, Sönke Frantz, Karl Rohr, H. Siegfried Stiehl:
Improving the Robustness in Extracting 3D Point Landmarks Based on Deformable Models. DAGM-Symposium 2001: 108-115 - [c39]Thorsten Behrens, Karl Rohr, H. Siegfried Stiehl:
Segmentation of Tubular Structures in 3D Images Using a Combination of the Hough Transform and a Kalman Filter. DAGM-Symposium 2001: 406-413 - [c38]Manfred Alker, Sönke Frantz, Karl Rohr, H. Siegfried Stiehl:
Improving the Robustness in Extracting 3D Point Landmarks from 3D Medical Images Using Parametric Deformable Models. MICCAI 2001: 582-590 - [c37]Thorsten Behrens, Karl Rohr, H. Siegfried Stiehl:
Using an Extended Hough Transform Combined with a Kalman Filter to Segment Tubular Structures in 3D Medical Images. VMV 2001: 491-498 - 2000
- [j13]Karl Rohr:
Elastic Registration of Multimodal Medical Images: A Survey. Künstliche Intell. 14(3): 11-17 (2000) - [j12]Karl Rohr, H. Siegfried Stiehl, Mike Fornefett, Sönke Frantz, Alexander Hagemann:
Project IMAGINE: Landmark-Based Elastic Registration and Biomechanical Brain Modelling. Künstliche Intell. 14(3): 37-39 (2000) - [c36]Mike Fornefett, Karl Rohr, H. Siegfried Stiehl:
Elastic Medical Image Registration Using Surface Landmarks with Automatic Finding of Correspondences. Bildverarbeitung für die Medizin 2000: 48-52 - [c35]Sönke Frantz, Karl Rohr, H. Siegfried Stiehl:
A New Approach to the Localization of 3D Anatomical Point Landmarks in Medical Images Based on Deformable Models. DAGM-Symposium 2000: 452-459 - [c34]Sönke Frantz, Karl Rohr, H. Siegfried Stiehl:
Localization of 3D Anatomical Point Landmarks in 3D Tomographic Images Using Deformable Models. MICCAI 2000: 492-501 - [c33]Alexander Hagemann, Karl Rohr, H. Siegfried Stiehl:
Biomechanically based simulation of brain deformations for intraoperative image correction: coupling of elastic and fluid models. Medical Imaging: Image Processing 2000
1990 – 1999
- 1999
- [j11]Wladimir Peckar, Christoph Schnörr, Karl Rohr, H. Siegfried Stiehl:
Parameter-Free Elastic Deformation Approach for 2D and 3D Registration Using Prescribed Displacements. J. Math. Imaging Vis. 10(2): 143-162 (1999) - [j10]Karl Rohr:
Extraction of 3d anatomical point landmarks based on invariance principles. Pattern Recognit. 32(1): 3-15 (1999) - [j9]Alexander Hagemann, Karl Rohr, H. Siegfried Stiehl, Uwe Spetzger, Joachim M. Gilsbach:
Biomedical Modeling of the Human Head for Physically-based, Non-rigid Image Registration. IEEE Trans. Medical Imaging 18(10): 875-884 (1999) - [c32]Alexander Hagemann, Karl Rohr, H. Siegfried Stiehl, Uwe Spetzger, Joachim M. Gilsbach:
A Biomechanical Model of the Human Head for Elasitc Registration of MR-Images. Bildverarbeitung für die Medizin 1999: 44-48 - [c31]Sönke Frantz, Karl Rohr, H. Siegfried Stiehl:
Reducing False Detections in Extracting 3D Anatomical Point Landmarks. Bildverarbeitung für die Medizin 1999: 54-59 - [c30]Mike Fornefett, Karl Rohr, H. Siegfried Stiehl:
Elastic Registration of Medical Images Using Radial Basis Functions with Compact Support. CVPR 1999: 1402- - [c29]Alexander Hagemann, Karl Rohr, H. Siegfried Stiehl, Uwe Spetzger, Joachim M. Gilsbach:
Intraoperative Image Correction Using a Biomechanical Model of the Human Head with Different Material Properties. DAGM-Symposium 1999: 223-231 - [c28]Karl Rohr, Mike Fornefett, H. Siegfried Stiehl:
Approximating Thin-Plate Splines for Elastic Registration: Integration of Landmark Errors and Orientation Attributes. IPMI 1999: 252-265 - [c27]Sönke Frantz, Karl Rohr, H. Siegfried Stiehl:
Improving the Detection Performance in Semi-automatic Landmark Extraction. MICCAI 1999: 253-262 - [c26]Alexander Hagemann, Karl Rohr, H. Siegfried Stiehl, Uwe Spetzger, Joachim M. Gilsbach:
Nonrigid matching of tomographic images based on a biomechanical model of the human head. Medical Imaging: Image Processing 1999 - [c25]Thomas Hartkens, Karl Rohr, H. Siegfried Stiehl:
Performance of 3D differential operators for the detection of anatomical point landmarks in MR and CT images. Medical Imaging: Image Processing 1999 - 1998
- [c24]Alexander Hagemann, Karl Rohr, H. Siegfried Stiehl:
Theoretische und experimentelle Untersuchung eines Verfahrens zur Schätzung von Attributen der Grauwertkanten in 2D CT/MR-Bildern. Bildverarbeitung für die Medizin 1998 - [c23]Thomas Hartkens, Karl Rohr, H. Siegfried Stiehl:
Ermittlung anatomischer Landmarken in tomographischen Bildern. Bildverarbeitung für die Medizin 1998 - [c22]Wladimir Peckar, Christoph Schnörr, Karl Rohr, H. Siegfried Stiehl:
Non-Rigid Image Registration Using a Parameter-Free Elastic Model. BMVC 1998: 1-10 - [c21]Thomas Hartkens, Karl Rohr, H. Siegfried Stiehl:
Untersuchung der Detektionsleistung von 3D-Operatoren zur Ermittlung von Punktlandmarken in MR- und CT-Bildern. DAGM-Symposium 1998: 211-218 - [c20]Mike Fornefett, Karl Rohr, Rainer Sprengel, H. Siegfried Stiehl:
Orientation Constraints in Point-Based Elastic Image Registration. DAGM-Symposium 1998: 533-539 - [c19]Sönke Frantz, Karl Rohr, H. Siegfried Stiehl:
Multi-Step Procedures for the Localization of 2D and 3D Point Landmarks and Automatic ROI Size Selection. ECCV (1) 1998: 687-703 - [c18]Karl Rohr:
Image Registration Based on Thin-Plate Splines and Local Estimates of Anisotropic Landmark Localization Uncertainties. MICCAI 1998: 1174-1183 - [c17]Sönke Frantz, Karl Rohr, H. Siegfried Stiehl:
Refined localization of three-dimensional anatomical point landmarks using multistep differential approaches. Medical Imaging: Image Processing 1998 - [c16]Karl Rohr, H. Siegfried Stiehl, Sönke Frantz, Thomas Hartkens:
Performance Characterization of Landmark Operators. Theoretical Foundations of Computer Vision 1998: 285-297 - 1997
- [j8]Christian Drewniok, Karl Rohr:
Model-Based Detection and Localization of Circular Landmarks in Aerial Images. Int. J. Comput. Vis. 24(3): 187-217 (1997) - [j7]Karl Rohr:
On 3D differential operators for detecting point landmarks. Image Vis. Comput. 15(3): 219-233 (1997) - [j6]Karl Rohr:
On the Precision in Estimating the Location of Edges and Corners. J. Math. Imaging Vis. 7(1): 7-22 (1997) - [c15]Sönke Frantz, Karl Rohr, H. Siegfried Stiehl:
On the Localization of 3D Anatomical Point Landmarks in Medical Imagery Using Multi-step Differential Approaches. DAGM-Symposium 1997: 340-347 - [c14]Wladimir Peckar, Christoph Schnörr, Karl Rohr, H. Siegfried Stiehl:
Two-Step Parameter-Free Elastic Image Registration with Prescribed Point Displacements. ICIAP (1) 1997: 527-534 - 1996
- [c13]Karl Rohr, H. Siegfried Stiehl, Rainer Sprengel, Wolfgang Beil, Thorsten M. Buzug, Jürgen Weese, M. H. Kuhn:
Nonrigid Registration of Medical Images Based on Anatomical Point Landmarks and Approximating Thin-Plate Splines. Bildverarbeitung für die Medizin 1996 - [c12]Lutz Binder, Karl Rohr, Rainer Sprengel, H. Siegfried Stiehl:
Bildregistrierung mit interpolierenden "Thin-Plate Splines" und Bezüge zur linearen Elastizitätstheorie. DAGM-Symposium 1996: 281-288 - [c11]Thomas Hartkens, Karl Rohr, H. Siegfried Stiehl:
Evaluierung von Differentialoperatoren zur Detektion charakteristischer Punkte in tomographischen Bildern. DAGM-Symposium 1996: 637-644 - [c10]Anders Heyden, Karl Rohr:
Evaluation of corner extraction schemes using invariance methods. ICPR 1996: 895-899 - [c9]Karl Rohr, H. Siegfried Stiehl, Rainer Sprengel, Wolfgang Beil, Thorsten M. Buzug, Jürgen Weese, M. H. Kuhn:
Point-Based Elastic Registration of Medical Image Data Using Approximating Thin-Plate Splines. VBC 1996: 297-306 - 1995
- [c8]Christian Drewniok, Karl Rohr:
High-Precision Localization of Circular Landmarks in Aerial Images. DAGM-Symposium 1995: 594-601 - [c7]Gerd Herzog, Karl Rohr:
Integrating Vision and Language: Towards Automatic Description of Human Movements. KI 1995: 257-268 - 1994
- [b1]Karl Rohr:
Modellgestütztes Erkennen charakteristischer Strukturen in Bildern. University of Hamburg, Germany, 1994 - [j5]Joachim H. Rieger, Karl Rohr:
Semi-algebraic solids in 3-space: a survey of modelling schemes and implications for view graphs. Image Vis. Comput. 12(7): 395-410 (1994) - [j4]Karl Rohr:
Localization properties of direct corner detectors. J. Math. Imaging Vis. 4(2): 139-150 (1994) - 1993
- [j3]Karl Rohr, Christoph Schnörr:
An efficient approach to the identification of characteristic intensity variations. Image Vis. Comput. 11(5): 273-277 (1993) - [c6]Karl Rohr:
Incremental recognition of pedestrians from image sequences. CVPR 1993: 8-13 - [c5]Karl Rohr:
Lokalisierungseigenschaften direkter Ansätze zur Ermittlung von Grauwertecken. DAGM-Symposium 1993: 647-654 - 1992
- [j2]Karl Rohr:
Recognizing corners by fitting parametric models. Int. J. Comput. Vis. 9(3): 213-230 (1992) - [j1]Karl Rohr:
Modelling and identification of characteristic intensity variations. Image Vis. Comput. 10(2): 66-76 (1992) - 1990
- [c4]D. Bister, Karl Rohr, Christoph Schnörr:
Automatische Bestimmung der Trajektorien von sich bewegenden Objekten aus einer Bildfolge. DAGM-Symposium 1990: 44-51 - [c3]Karl Rohr, Hans-Hellmut Nagel:
Modellgestützte Bestimmung des Bewegungszustandes von Fußgängern in Realweltbildfolgen. DAGM-Symposium 1990: 52-58 - [c2]Karl Rohr:
Über die Modellierung und Identifikation charakteristischer Grauwertverläufe in Realweltbildern. DAGM-Symposium 1990: 217-224
1980 – 1989
- 1989
- [c1]Karl Rohr:
Auf dem Wege zu modellgestütztem Erkennen von bewegten nicht-starren Körpern in Realweltbildfolgen. DAGM-Symposium 1989: 324-328
Coauthor Index
[j51] [c162] [c161] [c154] [c150] [c147] [j45] [j44] [j40] [j37] [c127] [c126] [c122] [j36] [j35] [c117] [c115] [c114] [c113] [j34] [c109] [j31] [c101] [c98] [j28] [c93] [c92] [c91] [c87] [c86] [c85] [c83] [c82] [c81] [c80] [c78] [c77] [c76] [c75] [c74] [c72] [c69] [c68] [c67] [c66] [c64] [c60] [c59] [c58]
[j51] [j50] [c154] [c150] [c147] [j47] [j46] [c144] [c140] [c139] [j41] [c138] [c137] [c134] [c133] [c132] [c131] [c130] [j39] [c129] [c128] [c123] [c121] [c120] [c119] [c118] [c116] [c112] [c111] [j33] [j32] [c108] [c107] [c106] [j31] [c105] [c104] [c103] [c102] [c101] [c99] [c98] [c97] [c96] [c95] [j30] [j29] [c94] [c93] [c91] [c90] [c89] [c88] [j26] [c87] [c84] [c79] [c78] [c73] [c72] [j24] [c71] [c70] [c63] [c62] [c61] [c56] [j21] [c52] [c51] [c50] [c49] [c48] [c47] [c46] [c45] [c44]
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