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Denoising diffusion probabilistic models for generation of realistic fully-annotated microscopy image datasets2024 PLoS Computational Biology article Biochemistry, Genetics and Molecular Biology Cell Image Analysis Techniques Open access
Dennis Eschweiler, Rüveyda Yilmaz, Matisse Baumann, Ina Laube, Rijo Roy, Abin Jose, +2 more
33citations -
Medical Diffusion: Denoising Diffusion Probabilistic Models for 3D Medical Image Generation2022 arXiv (Cornell University) preprint Computer Science Generative Adversarial Networks and Image Synthesis Open access
Firas Khader, Gustav Mueller-Franzes, Soroosh Tayebi Arasteh, Christoph Haarburger, Maximilian Franz Schulze-Hagen, Philipp Schad, +8 more
21citations -
From Snapshots to Fluxes: Independent Wind Retrieval Algorithms for Next-Generation Multi-image Greenhouse Gas Satellites via Deep Learning2026 conference-abstract Environmental Science Atmospheric and Environmental Gas Dynamics Open access
Bastiaan van Diedenhoven, Piyushkumar N. Patel, Koen Reerink, Tobias Borsdorff, Jochen Landgraf
0citations -
Denoising diffusion probabilistic models for 3D medical image generation2023 Scientific Reports article Computer Science Generative Adversarial Networks and Image Synthesis Open access cited by 2 patents
Firas Khader, Gustav Anton Müller‐Franzes, Soroosh Tayebi Arasteh, Tianyu Han, Christoph Haarburger, Maximilian Franz Schulze-Hagen, +9 more
343citations -
Corrigendum to: GAN-based generation of realistic 3D volumetric data: A systematic review and taxonomy [Medical Image Analysis 93 (2024)]2024 Medical Image Analysis erratum Computer Science Generative Adversarial Networks and Image Synthesis Open access
André Filipe Ferreira, Jianning Li, Kelsey L. Pomykala, Jens Kleesiek, Victor Alves, Jan Egger
2citations -
X-Ray Image Generation as a Method of Performance Prediction for Real-Time Inspection: a Case Study2024 Journal of Nondestructive Evaluation article Engineering Non-Destructive Testing Techniques Open access
Vladyslav Andriiashen, Robert van Liere, Tristan van Leeuwen, Kees Joost Batenburg
8citations -
A multimodal comparison of latent denoising diffusion probabilistic models and generative adversarial networks for medical image synthesis2023 Scientific Reports article Computer Science Generative Adversarial Networks and Image Synthesis Open access
Gustav Anton Müller‐Franzes, Firas Khader, Soroosh Tayebi Arasteh, Christoph Haarburger, Christiane Katharina Kuhl, Tianci Wang, +5 more
216citations -
Deep Neural Networks for Analysis of Microscopy Images—Synthetic Data Generation and Adaptive Sampling2021 Crystals article Materials Science Machine Learning in Materials Science Open access cited by 3 patents
Patrick Trampert, Dmitri Rubinstein, Faysal Boughorbel, Christian Schlinkmann, Maria Luschkova, Philipp Slusallek, +2 more
40citations -
UTILE-Gen: Automated Image Analysis in Nanoscience Using Synthetic Dataset Generator and Deep Learning2023 ACS Nanoscience Au article Biochemistry, Genetics and Molecular Biology Cell Image Analysis Techniques Open access
André Colliard-Granero, Jenia Jitsev, Michael Hermann Eikerling, Kourosh Malek, Mohammad J. Eslamibidgoli
12citations -
UTILE-Gen: Automated Image Analysis in Nanoscience Using Synthetic Dataset Generator and Deep Learning2023 ChemRxiv preprint Biochemistry, Genetics and Molecular Biology Cell Image Analysis Techniques Open access
André Colliard-Granero, Jenia Jitsev, Michael Hermann Eikerling, Kourosh Malek, Mohammad J. Eslamibidgoli
0citations