Florian Jug
Florian Jug
Human Technopole, CSBD / MPI-CBG
Verified email at fht.org - Homepage
Cited by
Cited by
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
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
An objective comparison of cell-tracking algorithms
V Ulman, M Maška, KEG Magnusson, O Ronneberger, C Haubold, ...
Nature methods 14 (12), 1141-1152, 2017
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
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
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
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
Probabilistic Noise2Void: Unsupervised Content-Aware Denoising
A Krull, T Vičar, M Prakash, M Lalit, F Jug
Frontiers in Computer Science 19, 5, 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
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
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
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
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, ...
Reliable neuronal systems: the importance of heterogeneity
J Lengler, F Jug, A Steger
PloS one 8 (12), e80694, 2013
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
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
Bioimage Informatics in the context of Drosophila research
F Jug, T Pietzsch, S Preibisch, P Tomancak
Methods, 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
On Competition and Learning in Cortical Structures
F Jug
ETH Zurich, 2012
Democratising deep learning for microscopy with ZeroCostDL4Mic
L von Chamier, RF Laine, J Jukkala, C Spahn, D Krentzel, E Nehme, ...
Nature communications 12 (1), 1-18, 2021
The system can't perform the operation now. Try again later.
Articles 1–20