Florian Jug

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Citations	1546	1475
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i10-index	28	25

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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
Matthew CookInstitute of Neuroinformatics, University of Zurich and ETH ZurichVerified email at paradise.caltech.edu
Uwe SchmidtVerified email at uweschmidt.org
Deborah SchmidtMax Planck Institute of Molecular Cell Biology and Genetics, Dresden, GermanyVerified email at mpi-cbg.de
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	314	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	243	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	204	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	91	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	77	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	58	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	42	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	41	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	34	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	34	2014
Reliable neuronal systems: the importance of heterogeneity J Lengler, F Jug, A Steger PloS one 8 (12), e80694, 2013	32	2013
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
Bioimage Informatics in the context of Drosophila research F Jug, T Pietzsch, S Preibisch, P Tomancak Methods, 2014	27	2014
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	26	2019
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	25	2020
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
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	18	2019
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	17	2020

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