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Books and Theses
- 2012
[b1]Florian Jug:
On Competition and Learning in Cortical Structures. ETH Zurich, Zürich, Switzerland, 2012
Journal Articles
- 2023
- [j6]Joran Deschamps, Damian Dalle Nogare, Florian Jug:
Better research software tools to elevate the rate of scientific discovery or why we need to invest in research software engineering. Frontiers Bioinform. 3 (2023) - 2022
- [j5]Matthias Arzt, Joran Deschamps
, Christopher Schmied, Tobias Pietzsch, Deborah Schmidt, Pavel Tomancak, Robert Haase, Florian Jug:
LABKIT: Labeling and Segmentation Toolkit for Big Image Data. Frontiers Comput. Sci. 4: 777728 (2022) - [j4]Florian Levet, Virginie Uhlmann, Florian Jug:
Editorial: Methods and Tools for Bioimage Analysis. Frontiers Comput. Sci. 4: 931939 (2022) - [j3]Manan Lalit, Pavel Tomancak, Florian Jug:
EmbedSeg: Embedding-based Instance Segmentation for Biomedical Microscopy Data. Medical Image Anal. 81: 102523 (2022) - 2020
- [j2]Alexander Krull, Tomás Vicar, Mangal Prakash, Manan Lalit, Florian Jug:
Probabilistic Noise2Void: Unsupervised Content-Aware Denoising. Frontiers Comput. Sci. 2: 5 (2020) - 2019
- [j1]Tomás Vicar, Jan Balvan, Josef Jaros, Florian Jug, Radim Kolár, Michal Masarik, Jaromir Gumulec:
Cell segmentation methods for label-free contrast microscopy: review and comprehensive comparison. BMC Bioinform. 20(1): 360:1-360:25 (2019)
Conference and Workshop Papers
- 2024
- [c29]Ashesh Ashesh, Florian Jug:
denoiSplit: A Method for Joint Microscopy Image Splitting and Unsupervised Denoising. ECCV (24) 2024: 222-237 - 2023
- [c28]Ashesh, Alexander Krull, Moises Di Sante, Francesco Silvio Pasqualini, Florian Jug:
μSplit: image decomposition for fluorescence microscopy. ICCV 2023: 21162-21172 - [c27]Nuno Pimpão Martins, Yannis Kalaidzidis, Marino Zerial, Florian Jug:
DeepContrast: Deep Tissue Contrast Enhancement using Synthetic Data Degradations and OOD Model Predictions. ICCV (Workshops) 2023: 3830-3839 - 2022
- [c26]Tim-Oliver Buchholz, Florian Jug:
Fourier Image Transformer. CVPR Workshops 2022: 1845-1853 - [c25]Eva Höck, Tim-Oliver Buchholz, Anselm Brachmann, Florian Jug, Alexander Freytag:
N2V2 - Fixing Noise2Void Checkerboard Artifacts with Modified Sampling Strategies and a Tweaked Network Architecture. ECCV Workshops (4) 2022: 503-518 - [c24]Mangal Prakash, Mauricio Delbracio, Peyman Milanfar, Florian Jug:
Interpretable Unsupervised Diversity Denoising and Artefact Removal. ICLR 2022 - 2021
- [c23]Mangal Prakash, Alexander Krull, Florian Jug:
Fully Unsupervised Diversity Denoising with Convolutional Variational Autoencoders. ICLR 2021 - [c22]Manan Lalit, Pavel Tomancak, Florian Jug:
Embedding-based Instance Segmentation in Microscopy. MIDL 2021: 399-415 - 2020
- [c21]Stefan Haller, Mangal Prakash, Lisa Hutschenreiter, Tobias Pietzsch, Carsten Rother, Florian Jug, Paul Swoboda, Bogdan Savchynskyy:
A Primal-Dual Solver for Large-Scale Tracking-by-Assignment. AISTATS 2020: 2539-2549 - [c20]Tim-Oliver Buchholz, Mangal Prakash, Deborah Schmidt, Alexander Krull, Florian Jug:
DenoiSeg: Joint Denoising and Segmentation. ECCV Workshops (1) 2020: 324-337 - [c19]Anna S. Goncharova, Alf Honigmann, Florian Jug, Alexander Krull:
Improving Blind Spot Denoising for Microscopy. ECCV Workshops (1) 2020: 380-393 - [c18]Manan Lalit, Mette Handberg-Thorsager, Yu-Wen Hsieh, Florian Jug, Pavel Tomancak:
Registration of Multi-modal Volumetric Images by Establishing Cell Correspondence. ECCV Workshops (1) 2020: 458-473 - [c17]Mangal Prakash, Manan Lalit, Pavel Tomancak, Alexander Krull, Florian Jug:
Fully Unsupervised Probabilistic Noise2Void. ISBI 2020: 154-158 - [c16]Mangal Prakash, Tim-Oliver Buchholz, Manan Lalit, Pavel Tomancak, Florian Jug, Alexander Krull:
Leveraging Self-supervised Denoising for Image Segmentation. ISBI 2020: 428-432 - 2019
- [c15]Alexander Krull, Tim-Oliver Buchholz, Florian Jug:
Noise2Void - Learning Denoising From Single Noisy Images. CVPR 2019: 2129-2137 - [c14]Tim-Oliver Buchholz, Mareike Jordan, Gaia Pigino, Florian Jug:
Cryo-CARE: Content-Aware Image Restoration for Cryo-Transmission Electron Microscopy Data. ISBI 2019: 502-506 - 2018
- [c13]Cem Emre Akbas, Vladimír Ulman, Martin Maska, Florian Jug, Michal Kozubek:
Automatic Fusion of Segmentation and Tracking Labels. ECCV Workshops (6) 2018: 446-454 - 2017
- [c12]Markus Rempfler, Jan-Hendrik Lange, Florian Jug, Corinna Blasse, Eugene W. Myers, Bjoern H. Menze, Bjoern Andres:
Efficient Algorithms for Moral Lineage Tracing. ICCV 2017: 4705-4714 - [c11]Dmitrij Schlesinger, Florian Jug, Gene Myers, Carsten Rother, Dagmar Kainmueller:
Crowd sourcing image segmentation with iaSTAPLE. ISBI 2017: 401-405 - [c10]Martin Weigert, Loïc Royer, Florian Jug, Gene Myers:
Isotropic Reconstruction of 3D Fluorescence Microscopy Images Using Convolutional Neural Networks. MICCAI (2) 2017: 126-134 - 2016
- [c9]Florian Jug, Evgeny Levinkov, Corinna Blasse, Eugene W. Myers, Bjoern Andres:
Moral Lineage Tracing. CVPR 2016: 5926-5935 - [c8]Richard Grunzke, Florian Jug, Bernd Schuller, René Jäkel, Gene Myers, Wolfgang E. Nagel:
Seamless HPC Integration of Data-Intensive KNIME Workflows via UNICORE. Euro-Par Workshops 2016: 480-491 - 2014
- [c7]Florian Jug, Tobias Pietzsch, Dagmar Kainmüller, Jan Funke, Matthias Kaiser, Erik van Nimwegen, Carsten Rother, Gene Myers:
Optimal Joint Segmentation and Tracking of Escherichia Coli in the Mother Machine. BAMBI 2014: 25-36 - [c6]Dagmar Kainmueller, Florian Jug, Carsten Rother, Gene Myers:
Active Graph Matching for Automatic Joint Segmentation and Annotation of C. elegans. MICCAI (1) 2014: 81-88 - 2012
- [c5]Florian Jug, Matthew Cook, Angelika Steger:
Recurrent competitive networks can learn locally excitatory topologies. IJCNN 2012: 1-8 - 2011
- [c4]Matthew Cook, Florian Jug, Christoph Krautz:
Neuronal Projections Can Be Sharpened by a Biologically Plausible Learning Mechanism. ICANN (1) 2011: 101-108 - [c3]Matthew Cook, Luca Gugelmann, Florian Jug, Christoph Krautz, Angelika Steger:
Interacting maps for fast visual interpretation. IJCNN 2011: 770-776 - 2010
- [c2]Matthew Cook, Florian Jug, Christoph Krautz, Angelika Steger:
Unsupervised Learning of Relations. ICANN (1) 2010: 164-173 - 2005
- [c1]Tilman Seifert, Florian Jug, Günther Rackl:
Automated Quality Assurance for UML Models. GI Jahrestagung (2) 2005: 496-500
Informal and Other Publications
- 2024
- [i22]Ashesh Mishra, Florian Jug:
denoiSplit: a method for joint image splitting and unsupervised denoising. CoRR abs/2403.11854 (2024) - [i21]Ashesh Ashesh, Joran Deschamps, Florian Jug:
MicroSSIM: Improved Structural Similarity for Comparing Microscopy Data. CoRR abs/2408.08747 (2024) - [i20]Jianxu Chen, Florian Jug, Susanne M. Rafelski, Shanghang Zhang:
The Emerging Issues in Bioimaging AI Publications and Research (Dagstuhl Seminar 24042). Dagstuhl Reports 14(1): 90-107 (2024) - 2023
- [i19]Nuno Pimpão Martins, Yannis Kalaidzidis, Marino Zerial, Florian Jug:
DeepContrast: Deep Tissue Contrast Enhancement using Synthetic Data Degradations and OOD Model Predictions. CoRR abs/2308.08365 (2023) - 2022
- [i18]Eva Höck, Tim-Oliver Buchholz, Anselm Brachmann, Florian Jug, Alexander Freytag:
N2V2 - Fixing Noise2Void Checkerboard Artifacts with Modified Sampling Strategies and a Tweaked Network Architecture. CoRR abs/2211.08512 (2022) - [i17]Ashesh, Alexander Krull, Moises Di Sante, Francesco Silvio Pasqualini, Florian Jug:
μSplit: efficient image decomposition for microscopy data. CoRR abs/2211.12872 (2022) - 2021
- [i16]Manan Lalit, Pavel Tomancak, Florian Jug:
Embedding-based Instance Segmentation of Microscopy Images. CoRR abs/2101.10033 (2021) - [i15]Mangal Prakash, Mauricio Delbracio, Peyman Milanfar, Florian Jug:
Removing Pixel Noises and Spatial Artifacts with Generative Diversity Denoising Methods. CoRR abs/2104.01374 (2021) - [i14]Tim-Oliver Buchholz, Florian Jug:
Fourier Image Transformer. CoRR abs/2104.02555 (2021) - 2020
- [i13]Stefan Haller, Mangal Prakash, Lisa Hutschenreiter, Tobias Pietzsch, Carsten Rother, Florian Jug, Paul Swoboda, Bogdan Savchynskyy:
A Primal-Dual Solver for Large-Scale Tracking-by-Assignment. CoRR abs/2004.06375 (2020) - [i12]Tim-Oliver Buchholz, Mangal Prakash, Alexander Krull, Florian Jug:
DenoiSeg: Joint Denoising and Segmentation. CoRR abs/2005.02987 (2020) - [i11]Mangal Prakash, Alexander Krull, Florian Jug:
DivNoising: Diversity Denoising with Fully Convolutional Variational Autoencoders. CoRR abs/2006.06072 (2020) - [i10]Anna S. Goncharova, Alf Honigmann, Florian Jug, Alexander Krull:
Improving Blind Spot Denoising for Microscopy. CoRR abs/2008.08414 (2020) - 2019
- [i9]Alexander Krull, Tomás Vicar, Florian Jug:
Probabilistic Noise2Void: Unsupervised Content-Aware Denoising. CoRR abs/1906.00651 (2019) - [i8]Mangal Prakash, Tim-Oliver Buchholz, Manan Lalit, Pavel Tomancak, Florian Jug, Alexander Krull:
Leveraging Self-supervised Denoising for Image Segmentation. CoRR abs/1911.12239 (2019) - [i7]Mangal Prakash, Manan Lalit, Pavel Tomancak, Alexander Krull, Florian Jug:
Fully Unsupervised Probabilistic Noise2Void. CoRR abs/1911.12291 (2019) - 2018
- [i6]Tim-Oliver Buchholz, Mareike Jordan, Gaia Pigino, Florian Jug:
Cryo-CARE: Content-Aware Image Restoration for Cryo-Transmission Electron Microscopy Data. CoRR abs/1810.05420 (2018) - [i5]Alexander Krull, Tim-Oliver Buchholz, Florian Jug:
Noise2Void - Learning Denoising from Single Noisy Images. CoRR abs/1811.10980 (2018) - 2017
- [i4]Markus Rempfler, Jan-Hendrik Lange, Florian Jug, Corinna Blasse, Eugene W. Myers, Bjoern H. Menze, Bjoern Andres:
Efficient Algorithms for Moral Lineage Tracing. CoRR abs/1702.04111 (2017) - [i3]Dmitrij Schlesinger, Florian Jug, Gene Myers, Carsten Rother, Dagmar Kainmüller:
Crowd Sourcing Image Segmentation with iaSTAPLE. CoRR abs/1702.06461 (2017) - [i2]Martin Weigert, Loïc Royer, Florian Jug, Gene Myers:
Isotropic reconstruction of 3D fluorescence microscopy images using convolutional neural networks. CoRR abs/1704.01510 (2017) - 2015
- [i1]Florian Jug, Evgeny Levinkov, Corinna Blasse, Eugene W. Myers, Bjoern Andres:
Moral Lineage Tracing. CoRR abs/1511.05512 (2015)
Coauthor Index
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