Priv.-Doz. Dr. Karl Rohr

Biomedical Computer Vision Group
BioQuant, IPMB
Heidelberg University
69120 Heidelberg, Germany

Phone: +49 6221-54 51298
Fax:      +49 6221-54 51488
Email:   k.rohr@uni-heidelberg.de

FIELDS OF INTEREST

Biomedical image analysis; Probabilistic tracking and motion analysis; Elastic image registration, Model-based segmentation and quantification; Landmark localization

CURRENTLY FUNDED PROJECTS

BMBF ImmunoQuant, EU FP7 SysPatho

AWARDS & HONORS

2013 Prize for best scientific paper, BVM’13 (Image Processing for Medicine)
2012 DFG Project QuantVessel selected as one of 10 projects from about 20,000
DFG projects for presentation at DFG exhibition, Deutscher Bundestag, Berlin
2012 Prize for best scientific paper, BVM’12 (Image Processing for Medicine)
2010 1st Prize Poster Award, Summer School AMBIA, Masaryk University,
Czech Republic
2009 Prize for best scientific paper, BVM’09 (Image Processing for Medicine)
2008 Best Paper Award ICPDC’08 (Int. Conf. of Parallel and Distributed Computing)
2008 BVM price for best scientific paper, BVM’08 (Image Processing for Medicine)
2007 BVM poster price, BVM’07 (Image Processing for Medicine)
2000 Honorable Mention for the Pattern Recognition Society Award for an
outstanding contribution to the journal Pattern Recognition
1995 Springer Best Paper Award, KI’95 (Conference on Artificial Intelligence)
1990 DAGM price (German Association for Pattern Recognition), DAGM’90
. .
2007–present Member of the Excellence Cluster CellNetworks, Heidelberg University
2007–2010 Guest Professor, International University in Germany, Bruchsal
2004–present Head of Biomedical Computer Vision Group, Associate Professor, Heidelberg University and German Cancer Research Center (DKFZ), Faculty of BioScience, IPMB, BioQuant
2000–2004 Associate Professor, Head of Computer Vision & Graphics Group, School of Information Technology, International University in Germany, Bruchsal
1999 Research stay, Surgical Planning Lab, Harvard Medical School, Boston, USA
1999 Habilitation in Computer Science, University of Hamburg
1994 PhD (Dr.rer.nat.), Dept. of Computer Science, University of Hamburg
1994–2000 Project leader, IMAGINE project funded by Philips Research Laboratories, Hamburg, Dept. of Computer Science, University of Hamburg
1992–2000 Research Associate, Dept. of Computer Science, University of Hamburg,
Cognitive Systems Group
1988–1991 Research Associate, Dept. of Computer Science, University of Karlsruhe (now KIT), Collaborative Research Center Program, SFB 314
1981–1987 Study of Electrical Engineering, Diploma (Dipl.-Ing.), University of Karlsruhe (now KIT)
2012-2020 Associate Editor, IEEE International Symposium on Biomedical Imaging, ISBI 2012, 2015, 2016, 2017, 2018, 2019, 2020
2016 Program Chair, IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI 2016), April 9-16, 2016, Prague, Czech Republic
2014–2018 Member of the SMHB Scientific Board, Portfolio Theme “Simulation and Modelling for the Human Brain”, Helmholtz Association of German Research Centers
2009–present Member Editorial Board, Journal of Healthcare Engineering
2007–2012 Associate Editor, IEEE Transactions on Biomedical Engineering
2000–2006 Associate Editor, Pattern Recognition (International Journal)
2011 Main organizer, Sixth International Workshop on Microscopic Image Analysis with Applications in Biology (MIAAB’11), Sept. 2011, University of Heidelberg, Germany
2009 Co-organizer, Fourth International Workshop on Microscopic Image Analysis with Applications in Biology (MIAAB’09), Sept. 2009, NIH Campus, Bethesda, MD/USA
2008 Co-organizer, Third International Workshop on Microscopic Image Analysis with Applications in Biology (MIAAB’08), Sept. 2008, New York University, NY/USA

Wollmann T and Rohr K (2021). Deep Consensus Network: Aggregating predictions to improve object detection in microscopy images, Medical Image Analysis 70, 102019, DOI: 10.1016/j.media.2021.102019

Spilger R, Imle A, Lee JY, Müller B, Fackler OT, Bartenschlager R, and Rohr K (2020). A Recurrent Neural Network for Particle Tracking in Microscopy Images Using Future Information, Track Hypotheses, and Multiple Detections, IEEE Transactions on Image Processing 29:1, 3681-3694

Wollmann T, Gunkel M, Chung, I, Erfle H, Rippe K, and Rohr K (2019). GRUU-Net: Integrated convolutional and gated recurrent neural network for cell segmentation, Medical Image Analysis 56, 68-79

Gao Q and Rohr K (2019). A Global Method for Non-Rigid Registration of Cell Nuclei in Live Cell Time-Lapse Images, IEEE Transactions on Medical Imaging 38:10, 2259-2270

Imle A, Kumberger P, Schnellbächer DN, Fehr J, Carrillo-Bustamante P, Ales J, Schmidt P, Ritter C, Godinez WJ, Müller B, Rohr K, Hamprecht FA, Schwarz US, Graw F, and Fackler OT (2019). Experimental and computational analyses reveal that environmental restrictions shape HIV-1 spread in 3D cultures, Nature Communications 10:2144

Liao W, Wörz S, Kang CK, Cho Z-H, Rohr K (2018). Progressive minimal path method for segmentation of 2D and 3D line structures, IEEE Transactions on Pattern Analysis and Machine Intelligence 40:3, 696-709

Ulman V, Maška M, Magnusson KEG, Ronneberger O, Haubold C, Harder N, Matula Pa, Matula Pe, Svoboda D, Radojevic M, Smal I, Rohr K, Jaldén J, Blau HM, Dzyubachyk O, Lelieveldt B, Xiao P, Li Y, Cho S-Y, Dufour A, Olivo-Marin JC, Reyes-Aldasoro CC, Solis-Lemus JA, Bensch R, Brox T, Stegmaier J, Mikut R, Wolf S, Hamprecht FA, Esteves T, Quelhas P, Demirel Ö, Malmström L, Jug F, Tomančák P, Meijering E, Muñoz-Barrutia A, Kozubek M, Ortiz-de-Solorzano C (2017). An Objective Comparison of Cell Tracking Algorithms. Nature Methods 14, 1141–1152

Chenouard N, Smal I, de Chaumont F, Maška M, Sbalzarini IF, Gong Y, Cardinale J, Carthel C, Coraluppi S, Winter M, Cohen AR, Godinez WJ, Rohr K, Kalaidzidis Y, Liang L, Duncan J, Shen H, Xu Y, Magnusson KEG, Jaldén J, Blau HM, Paul-Gilloteaux P, Roudot P, Kervrann C, Waharte F, Tinevez J-Y, Shorte SL, Willemse J, Celler K, van Wezel GP, Dan HW, Tsai YS, Ortiz de Solórzano C, Olivo-Marin JC, Meijering E (2014). Objective comparison of particle tracking methods. Nature Methods. 11:3, 281–289

Chang L, Godinez WJ, Kim IH, Tektonidis M, de Lanerolle P, Eils R, Rohr K, Knipe DM (2011). Herpesviral replication compartments move and coalesce at nuclear speckles to enhance export of viral late mRNA. 108:21, E136-144

Harder N, Mora-Bermúdez F, Godinez WJ, Wünsche A, Eils R, Ellenberg J, Rohr K (2009). Automatic analysis of dividing cells in live cell movies to detect mitotic delays and correlate phenotypes in time. Genome Research. 19:11, 2113-2124

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