Automated Quality Assurance for UML Models. - Tilman Seifert; Florian Jug; Günther Rackl (GI Jahrestagung (2), 2005)

Unsupervised Learning of Relations. - Matthew Cook 001; Florian Jug; Christoph Krautz; Angelika Steger (ICANN (1), 2010)

Neuronal Projections Can Be Sharpened by a Biologically Plausible Learning Mechanism. - Matthew Cook 001; Florian Jug; Christoph Krautz (ICANN (1), 2011)

Interacting maps for fast visual interpretation. - Matthew Cook 001; Luca Gugelmann; Florian Jug; Christoph Krautz; Angelika Steger (IJCNN, 2011)

Recurrent competitive networks can learn locally excitatory topologies. - Florian Jug; Matthew Cook 001; Angelika Steger (IJCNN, 2012)

On Competition and Learning in Cortical Structures. - Florian Jug (2012)

Optimal Joint Segmentation and Tracking of Escherichia Coli in the Mother Machine. - Florian Jug; Tobias Pietzsch; Dagmar Kainmüller; Jan Funke; Matthias Kaiser; Erik van Nimwegen; Carsten Rother; Gene Myers (BAMBI, 2014)

Active Graph Matching for Automatic Joint Segmentation and Annotation of C. elegans. - Dagmar Kainmueller; Florian Jug; Carsten Rother; Gene Myers (MICCAI (1), 2014)

Moral Lineage Tracing. - Florian Jug; Evgeny Levinkov; Corinna Blasse; Eugene W. Myers; Bjoern Andres (CVPR, 2016)

Seamless HPC Integration of Data-Intensive KNIME Workflows via UNICORE. - Richard Grunzke; Florian Jug; Bernd Schuller; René Jäkel; Gene Myers; Wolfgang E. Nagel (Euro-Par Workshops, 2016)

Efficient Algorithms for Moral Lineage Tracing. - Markus Rempfler; Jan-Hendrik Lange; Florian Jug; Corinna Blasse; Eugene W. Myers; Bjoern H. Menze; Bjoern Andres (ICCV, 2017)

Crowd sourcing image segmentation with iaSTAPLE. - Dmitrij Schlesinger; Florian Jug; Gene Myers; Carsten Rother; Dagmar Kainmueller (ISBI, 2017)

Isotropic Reconstruction of 3D Fluorescence Microscopy Images Using Convolutional Neural Networks. - Martin Weigert 001; Loïc Royer; Florian Jug; Gene Myers (MICCAI (2), 2017)

Automatic Fusion of Segmentation and Tracking Labels. - Cem Emre Akbas; Vladimír Ulman; Martin Maska; Florian Jug; Michal Kozubek 001 (ECCV Workshops (6), 2018)

Noise2Void - Learning Denoising From Single Noisy Images. - Alexander Krull; Tim-Oliver Buchholz; Florian Jug (CVPR, 2019)

Cryo-CARE: Content-Aware Image Restoration for Cryo-Transmission Electron Microscopy Data. - Tim-Oliver Buchholz; Mareike Jordan; Gaia Pigino; Florian Jug (ISBI, 2019)

Cell segmentation methods for label-free contrast microscopy: review and comprehensive comparison. - Tomás Vicar; Jan Balvan; Josef Jaros; Florian Jug; Radim Kolár; Michal Masarik; Jaromir Gumulec (BMC Bioinform., 2019)

Probabilistic Noise2Void: Unsupervised Content-Aware Denoising. - Alexander Krull; Tomás Vicar; Florian Jug (CoRR, 2019)

A Primal-Dual Solver for Large-Scale Tracking-by-Assignment. - Stefan Haller; Mangal Prakash; Lisa Hutschenreiter; Tobias Pietzsch; Carsten Rother; Florian Jug; Paul Swoboda; Bogdan Savchynskyy (AISTATS, 2020)

DenoiSeg: Joint Denoising and Segmentation. - Tim-Oliver Buchholz; Mangal Prakash; Deborah Schmidt; Alexander Krull; Florian Jug (ECCV Workshops (1), 2020)

Improving Blind Spot Denoising for Microscopy. - Anna S. Goncharova; Alf Honigmann; Florian Jug; Alexander Krull (ECCV Workshops (1), 2020)

Registration of Multi-modal Volumetric Images by Establishing Cell Correspondence. - Manan Lalit; Mette Handberg-Thorsager; Yu-Wen Hsieh; Florian Jug; Pavel Tomancak (ECCV Workshops (1), 2020)

Leveraging Self-supervised Denoising for Image Segmentation. - Mangal Prakash; Tim-Oliver Buchholz; Manan Lalit; Pavel Tomancak; Florian Jug; Alexander Krull (ISBI, 2020)

Fully Unsupervised Probabilistic Noise2Void. - Mangal Prakash; Manan Lalit; Pavel Tomancak; Alexander Krull; Florian Jug (ISBI, 2020)

DenoiSeg: Joint Denoising and Segmentation. - Tim-Oliver Buchholz; Mangal Prakash; Alexander Krull; Florian Jug (CoRR, 2020)

DivNoising: Diversity Denoising with Fully Convolutional Variational Autoencoders. - Mangal Prakash; Alexander Krull; Florian Jug (CoRR, 2020)

Probabilistic Noise2Void: Unsupervised Content-Aware Denoising. - Alexander Krull; Tomás Vicar; Mangal Prakash; Manan Lalit; Florian Jug (Frontiers Comput. Sci., 2020)

Fully Unsupervised Diversity Denoising with Convolutional Variational Autoencoders. - Mangal Prakash; Alexander Krull; Florian Jug (ICLR, 2021)

Embedding-based Instance Segmentation in Microscopy. - Manan Lalit; Pavel Tomancak; Florian Jug (MIDL, 2021)

Embedding-based Instance Segmentation of Microscopy Images. - Manan Lalit; Pavel Tomancak; Florian Jug (CoRR, 2021)

Removing Pixel Noises and Spatial Artifacts with Generative Diversity Denoising Methods. - Mangal Prakash; Mauricio Delbracio; Peyman Milanfar; Florian Jug (CoRR, 2021)

Fourier Image Transformer. - Tim-Oliver Buchholz; Florian Jug (CVPR Workshops, 2022)

N2V2 - Fixing Noise2Void Checkerboard Artifacts with Modified Sampling Strategies and a Tweaked Network Architecture. - Eva Höck; Tim-Oliver Buchholz; Anselm Brachmann; Florian Jug; Alexander Freytag (ECCV Workshops (4), 2022)

Interpretable Unsupervised Diversity Denoising and Artefact Removal. - Mangal Prakash; Mauricio Delbracio; Peyman Milanfar; Florian Jug (ICLR, 2022)

μSplit: efficient image decomposition for microscopy data. - Ashesh; Alexander Krull; Moises Di Sante; Francesco Silvio Pasqualini; Florian Jug (CoRR, 2022)

LABKIT: Labeling and Segmentation Toolkit for Big Image Data. - Matthias Arzt; Joran Deschamps; Christopher Schmied; Tobias Pietzsch; Deborah Schmidt; Pavel Tomancak; Robert Haase 001; Florian Jug (Frontiers Comput. Sci., 2022)

Editorial: Methods and Tools for Bioimage Analysis. - Florian Levet; Virginie Uhlmann; Florian Jug (Frontiers Comput. Sci., 2022)

EmbedSeg: Embedding-based Instance Segmentation for Biomedical Microscopy Data. - Manan Lalit; Pavel Tomancak; Florian Jug (Medical Image Anal., 2022)

μSplit: image decomposition for fluorescence microscopy. - Ashesh; Alexander Krull; Moises Di Sante; Francesco Silvio Pasqualini; Florian Jug (ICCV, 2023)

DeepContrast: Deep Tissue Contrast Enhancement using Synthetic Data Degradations and OOD Model Predictions. - Nuno Pimpão Martins; Yannis Kalaidzidis; Marino Zerial; Florian Jug (ICCV (Workshops), 2023)

Better research software tools to elevate the rate of scientific discovery or why we need to invest in research software engineering. - Joran Deschamps; Damian Dalle Nogare; Florian Jug (Frontiers Bioinform., 2023)

MicroSSIM: Improved Structural Similarity for Comparing Microscopy Data. - Ashesh Ashesh; Joran Deschamps; Florian Jug (ECCV Workshops (16), 2024)

denoiSplit: A Method for Joint Microscopy Image Splitting and Unsupervised Denoising. - Ashesh Ashesh; Florian Jug (ECCV (24), 2024)

denoiSplit: a method for joint image splitting and unsupervised denoising. - Ashesh Mishra; Florian Jug (CoRR, 2024)

The Emerging Issues in Bioimaging AI Publications and Research (Dagstuhl Seminar 24042). - Jianxu Chen 001; Florian Jug; Susanne M. Rafelski; Shanghang Zhang (Dagstuhl Reports, 2024)

indiSplit: Bringing Severity Cognizance to Image Decomposition in Fluorescence Microscopy. - Ashesh Ashesh; Florian Jug (CoRR, 2025)

Dehazing Light Microscopy Images with Guided Conditional Flow Matching: finding a sweet spot between fidelity and realism. - Anirban Ray; Ashesh; Florian Jug (CoRR, 2025)