Florian Jug

Development of metaverse for intelligent healthcare

ImageJ2: ImageJ for the next generation of scientific image data

Machine learning for functional protein design

Real-time classification and sensor fusion with a spiking deep belief network

Coronavirus biology and replication: implications for SARS-CoV-2

Multistate and functional protein design using RoseTTAFold sequence space diffusion

QuPath: Open source software for digital pathology image analysis

Non-uniform refinement: adaptive regularization improves single-particle cryo-EM reconstruction

ilastik: interactive machine learning for (bio)image analysis

Topaz-Denoise: general deep denoising models for cryoEM and cryoET

Multi-resolution convolutional neural networks for inverse problems

Deep learning in neural networks: An overview

SARS-CoV-2 structure and replication characterized by in situ cryo-electron tomography

Trainable Weka Segmentation: a machine learning tool for microscopy pixel classification

Deep learning for tomographic image reconstruction

Quantitating the cell: turning images into numbers with ImageJ

Single Crystals Heterogeneity Impacts the Intrinsic and Extrinsic Properties of Metal–Organic Frameworks

Collaborative analysis of multi-gigapixel imaging data using Cytomine

Disentangling Rotational Dynamics and Ordering Transitions in a System of Self-Organizing Protein Nanorods via Rotationally Invariant Latent Representations

Deep Learning for Intelligent Human–Computer Interaction

Prediction of designer-recombinases for DNA editing with generative deep learning

Bioimage Informatics in the context of Drosophila research

Content-aware image restoration for electron microscopy

Recurrent competitive networks can learn locally excitatory topologies

Noise2Void - Learning Denoising From Single Noisy Images

Tracking by Assignment Facilitates Data Curation