Florian Jug - RankMe

65 papers A* 6A 1B 2Journal 34Unranked 21

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	MamaDino: A Hybrid Vision Model for Breast Cancer 3-Year Risk Prediction. CoRR Ruggiero Santeramo, Igor Zubarev, Florian Jug
2026	J	`jnl`	λSplit: Self-Supervised Content-Aware Spectral Unmixing for Fluorescence Microscopy. CoRR Federico Carrara, Talley Lambert, Mehdi Seifi, Florian Jug
2025	J	`jnl`	Dehazing Light Microscopy Images with Guided Conditional Flow Matching: finding a sweet spot between fidelity and realism. CoRR Anirban Ray, Ashesh, Florian Jug
2025	J	`jnl`	ResMatching: Noise-Resilient Computational Super-Resolution via Guided Conditional Flow Matching. CoRR Anirban Ray, Vera Galinova, Florian Jug
2025	J	`jnl`	indiSplit: Bringing Severity Cognizance to Image Decomposition in Fluorescence Microscopy. CoRR Ashesh Ashesh, Florian Jug
2025	J	`jnl`	ε-Seg: Sparsely Supervised Semantic Segmentation of Microscopy Data. CoRR Sheida Rahnamai Kordasiabi, Damian Dalle Nogare, Florian Jug
2024	—	`conf`	MicroSSIM: Improved Structural Similarity for Comparing Microscopy Data. ECCV Workshops (16) Ashesh Ashesh, Joran Deschamps, Florian Jug
2024	J	`jnl`	MicroSSIM: Improved Structural Similarity for Comparing Microscopy Data. CoRR Ashesh Ashesh, Joran Deschamps, Florian Jug
2024	J	`jnl`	The Emerging Issues in Bioimaging AI Publications and Research (Dagstuhl Seminar 24042). Dagstuhl Reports Jianxu Chen, Florian Jug, Susanne M. Rafelski, Shanghang Zhang
2024	—	`conf`	denoiSplit: A Method for Joint Microscopy Image Splitting and Unsupervised Denoising. ECCV (24) Ashesh Ashesh, Florian Jug
2024	J	`jnl`	denoiSplit: a method for joint image splitting and unsupervised denoising. CoRR Ashesh Mishra, Florian Jug
2023	J	`jnl`	Better research software tools to elevate the rate of scientific discovery or why we need to invest in research software engineering. Frontiers Bioinform. Joran Deschamps, Damian Dalle Nogare, Florian Jug
2023	—	`conf`	DeepContrast: Deep Tissue Contrast Enhancement using Synthetic Data Degradations and OOD Model Predictions. ICCV (Workshops) Nuno Pimpão Martins, Yannis Kalaidzidis, Marino Zerial, Florian Jug
2023	J	`jnl`	DeepContrast: Deep Tissue Contrast Enhancement using Synthetic Data Degradations and OOD Model Predictions. CoRR Nuno Pimpão Martins, Yannis Kalaidzidis, Marino Zerial, Florian Jug
2023	A*	`conf`	μSplit: image decomposition for fluorescence microscopy. ICCV Ashesh, Alexander Krull, Moises Di Sante, Francesco Silvio Pasqualini, Florian Jug
2022	J	`jnl`	Editorial: Methods and Tools for Bioimage Analysis. Frontiers Comput. Sci. Florian Levet, Virginie Uhlmann, Florian Jug
2022	J	`jnl`	EmbedSeg: Embedding-based Instance Segmentation for Biomedical Microscopy Data. Medical Image Anal. Manan Lalit, Pavel Tomancak, Florian Jug
2022	—	`conf`	Fourier Image Transformer. CVPR Workshops Tim-Oliver Buchholz, Florian Jug
2022	A*	`conf`	Interpretable Unsupervised Diversity Denoising and Artefact Removal. ICLR Mangal Prakash, Mauricio Delbracio, Peyman Milanfar, Florian Jug
2022	J	`jnl`	LABKIT: Labeling and Segmentation Toolkit for Big Image Data. Frontiers Comput. Sci. Matthias Arzt, Joran Deschamps, Christopher Schmied, Tobias Pietzsch, Deborah Schmidt, Pavel Tomancak, Robert Haase, Florian Jug
2022	—	`conf`	N2V2 - Fixing Noise2Void Checkerboard Artifacts with Modified Sampling Strategies and a Tweaked Network Architecture. ECCV Workshops (4) Eva Höck, Tim-Oliver Buchholz, Anselm Brachmann, Florian Jug, Alexander Freytag
2022	J	`jnl`	N2V2 - Fixing Noise2Void Checkerboard Artifacts with Modified Sampling Strategies and a Tweaked Network Architecture. CoRR Eva Höck, Tim-Oliver Buchholz, Anselm Brachmann, Florian Jug, Alexander Freytag
2022	J	`jnl`	μSplit: efficient image decomposition for microscopy data. CoRR Ashesh, Alexander Krull, Moises Di Sante, Francesco Silvio Pasqualini, Florian Jug
2021	—	`conf`	Embedding-based Instance Segmentation in Microscopy. MIDL Manan Lalit, Pavel Tomancak, Florian Jug
2021	J	`jnl`	Embedding-based Instance Segmentation of Microscopy Images. CoRR Manan Lalit, Pavel Tomancak, Florian Jug
2021	J	`jnl`	Fourier Image Transformer. CoRR Tim-Oliver Buchholz, Florian Jug
2021	A*	`conf`	Fully Unsupervised Diversity Denoising with Convolutional Variational Autoencoders. ICLR Mangal Prakash, Alexander Krull, Florian Jug
2021	J	`jnl`	Removing Pixel Noises and Spatial Artifacts with Generative Diversity Denoising Methods. CoRR Mangal Prakash, Mauricio Delbracio, Peyman Milanfar, Florian Jug
2020	A	`conf`	A Primal-Dual Solver for Large-Scale Tracking-by-Assignment. AISTATS Stefan Haller, Mangal Prakash, Lisa Hutschenreiter, Tobias Pietzsch, Carsten Rother, Florian Jug, Paul Swoboda, Bogdan Savchynskyy
2020	J	`jnl`	A Primal-Dual Solver for Large-Scale Tracking-by-Assignment. CoRR Stefan Haller, Mangal Prakash, Lisa Hutschenreiter, Tobias Pietzsch, Carsten Rother, Florian Jug, Paul Swoboda, Bogdan Savchynskyy
2020	—	`conf`	DenoiSeg: Joint Denoising and Segmentation. ECCV Workshops (1) Tim-Oliver Buchholz, Mangal Prakash, Deborah Schmidt, Alexander Krull, Florian Jug
2020	J	`jnl`	DenoiSeg: Joint Denoising and Segmentation. CoRR Tim-Oliver Buchholz, Mangal Prakash, Alexander Krull, Florian Jug
2020	J	`jnl`	DivNoising: Diversity Denoising with Fully Convolutional Variational Autoencoders. CoRR Mangal Prakash, Alexander Krull, Florian Jug
2020	—	`conf`	Fully Unsupervised Probabilistic Noise2Void. ISBI Mangal Prakash, Manan Lalit, Pavel Tomancak, Alexander Krull, Florian Jug
2020	—	`conf`	Improving Blind Spot Denoising for Microscopy. ECCV Workshops (1) Anna S. Goncharova, Alf Honigmann, Florian Jug, Alexander Krull
2020	J	`jnl`	Improving Blind Spot Denoising for Microscopy. CoRR Anna S. Goncharova, Alf Honigmann, Florian Jug, Alexander Krull
2020	—	`conf`	Leveraging Self-supervised Denoising for Image Segmentation. ISBI Mangal Prakash, Tim-Oliver Buchholz, Manan Lalit, Pavel Tomancak, Florian Jug, Alexander Krull
2020	J	`jnl`	Probabilistic Noise2Void: Unsupervised Content-Aware Denoising. Frontiers Comput. Sci. Alexander Krull, Tomás Vicar, Mangal Prakash, Manan Lalit, Florian Jug
2020	—	`conf`	Registration of Multi-modal Volumetric Images by Establishing Cell Correspondence. ECCV Workshops (1) Manan Lalit, Mette Handberg-Thorsager, Yu-Wen Hsieh, Florian Jug, Pavel Tomancak
2019	J	`jnl`	Cell segmentation methods for label-free contrast microscopy: review and comprehensive comparison. BMC Bioinform. Tomás Vicar, Jan Balvan, Josef Jaros, Florian Jug, Radim Kolár, Michal Masarik, Jaromir Gumulec
2019	—	`conf`	Cryo-CARE: Content-Aware Image Restoration for Cryo-Transmission Electron Microscopy Data. ISBI Tim-Oliver Buchholz, Mareike Jordan, Gaia Pigino, Florian Jug
2019	J	`jnl`	Fully Unsupervised Probabilistic Noise2Void. CoRR Mangal Prakash, Manan Lalit, Pavel Tomancak, Alexander Krull, Florian Jug
2019	J	`jnl`	Leveraging Self-supervised Denoising for Image Segmentation. CoRR Mangal Prakash, Tim-Oliver Buchholz, Manan Lalit, Pavel Tomancak, Florian Jug, Alexander Krull
2019	A*	`conf`	Noise2Void - Learning Denoising From Single Noisy Images. CVPR Alexander Krull, Tim-Oliver Buchholz, Florian Jug
2019	J	`jnl`	Probabilistic Noise2Void: Unsupervised Content-Aware Denoising. CoRR Alexander Krull, Tomás Vicar, Florian Jug
2018	—	`conf`	Automatic Fusion of Segmentation and Tracking Labels. ECCV Workshops (6) Cem Emre Akbas, Vladimír Ulman, Martin Maska, Florian Jug, Michal Kozubek
2018	J	`jnl`	Cryo-CARE: Content-Aware Image Restoration for Cryo-Transmission Electron Microscopy Data. CoRR Tim-Oliver Buchholz, Mareike Jordan, Gaia Pigino, Florian Jug
2018	J	`jnl`	Noise2Void - Learning Denoising from Single Noisy Images. CoRR Alexander Krull, Tim-Oliver Buchholz, Florian Jug
2017	J	`jnl`	Crowd Sourcing Image Segmentation with iaSTAPLE. CoRR Dmitrij Schlesinger, Florian Jug, Gene Myers, Carsten Rother, Dagmar Kainmüller
2017	—	`conf`	Crowd sourcing image segmentation with iaSTAPLE. ISBI Dmitrij Schlesinger, Florian Jug, Gene Myers, Carsten Rother, Dagmar Kainmueller
2017	A*	`conf`	Efficient Algorithms for Moral Lineage Tracing. ICCV Markus Rempfler, Jan-Hendrik Lange, Florian Jug, Corinna Blasse, Eugene W. Myers, Bjoern H. Menze, Bjoern Andres
2017	J	`jnl`	Efficient Algorithms for Moral Lineage Tracing. CoRR Markus Rempfler, Jan-Hendrik Lange, Florian Jug, Corinna Blasse, Eugene W. Myers, Bjoern H. Menze, Bjoern Andres
2017	—	`conf`	Isotropic Reconstruction of 3D Fluorescence Microscopy Images Using Convolutional Neural Networks. MICCAI (2) Martin Weigert, Loïc Royer, Florian Jug, Gene Myers
2017	J	`jnl`	Isotropic reconstruction of 3D fluorescence microscopy images using convolutional neural networks. CoRR Martin Weigert, Loïc Royer, Florian Jug, Gene Myers
2016	A*	`conf`	Moral Lineage Tracing. CVPR Florian Jug, Evgeny Levinkov, Corinna Blasse, Eugene W. Myers, Bjoern Andres
2016	—	`conf`	Seamless HPC Integration of Data-Intensive KNIME Workflows via UNICORE. Euro-Par Workshops Richard Grunzke, Florian Jug, Bernd Schuller, René Jäkel, Gene Myers, Wolfgang E. Nagel
2015	J	`jnl`	Moral Lineage Tracing. CoRR Florian Jug, Evgeny Levinkov, Corinna Blasse, Eugene W. Myers, Bjoern Andres
2014	—	`conf`	Active Graph Matching for Automatic Joint Segmentation and Annotation of C. elegans. MICCAI (1) Dagmar Kainmueller, Florian Jug, Carsten Rother, Gene Myers
2014	—	`conf`	Optimal Joint Segmentation and Tracking of Escherichia Coli in the Mother Machine. BAMBI Florian Jug, Tobias Pietzsch, Dagmar Kainmüller, Jan Funke, Matthias Kaiser, Erik van Nimwegen, Carsten Rother, Gene Myers
2012	—	`—`	On Competition and Learning in Cortical Structures. Florian Jug
2012	B	`conf`	Recurrent competitive networks can learn locally excitatory topologies. IJCNN Florian Jug, Matthew Cook, Angelika Steger
2011	B	`conf`	Interacting maps for fast visual interpretation. IJCNN Matthew Cook, Luca Gugelmann, Florian Jug, Christoph Krautz, Angelika Steger
2011	—	`conf`	Neuronal Projections Can Be Sharpened by a Biologically Plausible Learning Mechanism. ICANN (1) Matthew Cook, Florian Jug, Christoph Krautz
2010	—	`conf`	Unsupervised Learning of Relations. ICANN (1) Matthew Cook, Florian Jug, Christoph Krautz, Angelika Steger
2005	—	`conf`	Automated Quality Assurance for UML Models. GI Jahrestagung (2) Tilman Seifert, Florian Jug, Günther Rackl