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Karl Rohr
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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. 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. 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. 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. 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. Image Processing 2012: 83141B - [c119]Wei Liao, Stefan Wörz, Karl Rohr:
Vessel segmentation using an iterative fast marching approach with directional prior. 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]