Jesús Pineda

University of Gothenburg — Sweden

Engineering · Physical Sciences

11h-index443citations40works4.02yr avg
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Research Topics

Image Processing Techniques and Applications(15), Cell Image Analysis Techniques(14), Optical measurement and interference techniques(13), Advanced Fluorescence Microscopy Techniques(5), 3D Surveying and Cultural Heritage(4)

Publications40 total

Enhanced spatial clustering of single-molecule localizations with graph neural networks
Nature Communications·2025Open Access
Quantitative evaluation of methods to analyze motion changes in single-particle experiments
Nature Communications·2025· 21 citedOpen Access
DeepTrack2: High-Quality Microscopy Simulations for Deep Learning
2025Open Access
Enhanced Spatial Clustering of Single-Molecule Localizations with Graph Neural Networks
arXiv (Cornell University)·2024Open Access
Cross-modality transformations in biological microscopy enabled by deep learning
Advanced Photonics·2024· 15 citedOpen Access
Global graph features unveiled by unsupervised geometric deep learning
2024
Hybrid lighting enhances color accuracy in DLP-based 3D imaging
Optical Engineering·2024
Crystallization and topology-induced dynamical heterogeneities in soft granular clusters
Physical Review Research·2024Open Access
Improving skin color accuracy in DLP-based 3D reconstruction
2024Open Access
Single-shot self-supervised object detection in microscopy
2023· 1 cited
Standard-dose PET image synthesis from low-dose images using a GAN-transformer
2023· 1 cited
Live-imaging and Quantification of Complex Nanostructure Hydrodynamic Motion in 3D Using Liquid Phase Transmission Electron Microscopy
Microscopy and Microanalysis·2023Open Access
Geometric deep learning reveals the spatiotemporal features of microscopic motion
Nature Machine Intelligence·2023· 67 citedOpen Access
Single-shot self-supervised object detection in microscopy
Nature Communications·2022· 40 citedOpen Access
Corneal endothelium assessment in specular microscopy images with Fuchs’ dystrophy via deep regression of signed distance maps
Biomedical Optics Express·2022· 14 citedOpen Access
Dynamic live/apoptotic cell assay using phase-contrast imaging and deep learning
2022Open Access
Geometric deep learning reveals the spatiotemporal fingerprint of microscopic motion
arXiv (Cornell University)·2022· 4 citedOpen Access
Active droploids
Nature Communications·2021· 28 citedOpen Access
Virtual live/dead cell assay using deep learning
2021
Quantitative biological analysis of brightfield cell images using deep learning
2021
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Frequent Co-authors

Giovanni Volpe(21), Andrés G. Marrugo(19), Lenny A. Romero(18), Benjamin Midtvedt(13), Raúl Vargas(10), Daniel Midtvedt(9), Saga Helgadóttir(7), Carlo Manzo(7), Harshith Bachimanchi(6), Caroline B. Adiels(6), Jaime Meneses(5), Marı́a S. Millán(4), Stefano Romeo(3), Jhacson Meza(3), Erik Barrios(3), Mattias Goksör(3), Aykut Argun(2), Sergio Noé(2), Fredrik Skärberg(2), Erik Olsén(2)