Florian Jug

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Citations	1594	1523
h-index	19	19
i10-index	29	26

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Gene MyersMax-Planck Institute for Molecular Cell Biology & GeneticsVerified email at mpi-cbg.de
Pavel TomancakResearch Group Leader at the Max Planck Institute of Molecular Cell Biology and Genetics in DresdenVerified email at mpi-cbg.de
Alexander KrullMPI-CBG/PKS in DresdenVerified email at tu-dresden.de
Loic Alain RoyerGroup LeaderVerified email at czbiohub.org
Martin WeigertGroup leader at EPFLVerified email at epfl.ch
Tim-Oliver BuchholzMPI-CBG CSBDVerified email at mpi-cbg.de
Mangal PrakashMax Planck Institute/Technische Universität DresdenVerified email at mpi-cbg.de
Angelika StegerETH ZurichVerified email at inf.ethz.ch
Christoph KrautzETH ZurichVerified email at inf.ethz.ch
Ricardo HenriquesGroup Leader at Instituto Gulbenkian de Ciência and Honorary Professor at UCL (MRC-LMCB)Verified email at igc.gulbenkian.pt
Uwe SchmidtVerified email at uweschmidt.org
Deborah SchmidtMax Planck Institute of Molecular Cell Biology and Genetics, Dresden, GermanyVerified email at mpi-cbg.de
Matthew CookInstitute of Neuroinformatics, University of Zurich and ETH ZurichVerified email at paradise.caltech.edu
Akanksha JainETH-ZürichVerified email at bsse.ethz.ch
Dagmar KainmuellerBIH/MDC BerlinVerified email at mdc-berlin.de
Coleman BroaddusPhD Student, Max Planck Center for Systems Biology DresdenVerified email at mpi-cbg.de
Andreas MüllerPostdoc, Paul Langerhans Institute Dresden, University Clinic "Carl Gustav Carus", TU DresdenVerified email at mailbox.tu-dresden.de
Michele SolimenaProfessor of Molecular Diabetology, TU DresdenVerified email at tu-dresden.de
Carsten RotherProfessor Uni Heidelberg / GermanyVerified email at iwr.uni-heidelberg.de
Tobias PietzschCSBD/MPI-CBGVerified email at mpi-cbg.de

Florian Jug

Human Technopole, CSBD / MPI-CBG

Verified email at fht.org - Homepage

Denoising Image Restoration Machine Learning Neural Networks Optimization


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Content-aware image restoration: pushing the limits of fluorescence microscopy M Weigert, U Schmidt, T Boothe, A Müller, A Dibrov, A Jain, B Wilhelm, ... Nature methods 15 (12), 1090-1097, 2018	325	2018
An objective comparison of cell-tracking algorithms V Ulman, M Maška, KEG Magnusson, O Ronneberger, C Haubold, ... Nature methods 14 (12), 1141-1152, 2017	245	2017
Noise2void-learning denoising from single noisy images A Krull, TO Buchholz, F Jug Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019	214	2019
ClearVolume: open-source live 3D visualization for light-sheet microscopy LA Royer, M Weigert, U Günther, N Maghelli, F Jug, IF Sbalzarini, ... Nature methods 12 (6), 480-481, 2015	92	2015
Interacting maps for fast visual interpretation M Cook, L Gugelmann, F Jug, C Krautz, A Steger The 2011 International Joint Conference on Neural Networks, 770-776, 2011	79	2011
Monitoring single-cell gene regulation under dynamically controllable conditions with integrated microfluidics and software M Kaiser, F Jug, T Julou, S Deshpande, T Pfohl, OK Silander, G Myers, ... Nature communications 9 (1), 1-16, 2018	60	2018
Differential lateral and basal tension drive folding of Drosophila wing discs through two distinct mechanisms L Sui, S Alt, M Weigert, N Dye, S Eaton, F Jug, EW Myers, F Jülicher, ... Nature communications 9 (1), 1-13, 2018	43	2018
Isotropic reconstruction of 3D fluorescence microscopy images using convolutional neural networks M Weigert, L Royer, F Jug, G Myers International Conference on Medical Image Computing and Computer-Assisted …, 2017	42	2017
Probabilistic Noise2Void: Unsupervised Content-Aware Denoising A Krull, T Vičar, M Prakash, M Lalit, F Jug Frontiers in Computer Science 19, 5, 2020	39	2020
Cryo-care: content-aware image restoration for cryo-transmission electron microscopy data TO Buchholz, M Jordan, G Pigino, F Jug 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019 …, 2019	37	2019
Optimal Joint Segmentation and Tracking of Escherichia Coli in the Mother Machine F Jug, T Pietzsch, D Kainmüller, J Funke, M Kaiser, E van Nimwegen, ... BAMBI@MICCAI, 2014	35	2014
Reliable neuronal systems: the importance of heterogeneity J Lengler, F Jug, A Steger PloS one 8 (12), e80694, 2013	32	2013
Cell segmentation methods for label-free contrast microscopy: review and comprehensive comparison T Vicar, J Balvan, J Jaros, F Jug, R Kolar, M Masarik, J Gumulec BMC bioinformatics 20 (1), 1-25, 2019	28	2019
Active graph matching for automatic joint segmentation and annotation of C. elegans D Kainmueller, F Jug, C Rother, G Myers International Conference on Medical Image Computing and Computer-Assisted …, 2014	28	2014
ZeroCostDL4Mic: an open platform to simplify access and use of Deep-Learning in Microscopy L Von Chamier, J Jukkala, C Spahn, M Lerche, S Hernández-Pérez, ... BioRxiv, 2020	27	2020
Bioimage Informatics in the context of Drosophila research F Jug, T Pietzsch, S Preibisch, P Tomancak Methods, 2014	27	2014
Automated detection and quantification of single RNAs at cellular resolution in zebrafish embryos LC Stapel, B Lombardot, C Broaddus, D Kainmueller, F Jug, EW Myers, ... Development 143 (3), 540-546, 2016	22	2016
On Competition and Learning in Cortical Structures F Jug ETH Zurich, 2012	22	2012
CLIJ: GPU-accelerated image processing for everyone R Haase, LA Royer, P Steinbach, D Schmidt, A Dibrov, U Schmidt, ... Nature methods 17 (1), 5-6, 2020	21	2020
Content-aware image restoration for electron microscopy TO Buchholz, A Krull, R Shahidi, G Pigino, G Jékely, F Jug Methods in cell biology 152, 277-289, 2019	19	2019

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