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08/16/2023
DeepContrast: Deep Tissue Contrast Enhancement using Synthetic Data Degradations and OOD Model Predictions
Microscopy images are crucial for life science research, allowing detail...
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11/23/2022
μSplit: efficient image decomposition for microscopy data
Light microscopy is routinely used to look at living cells and biologica...
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11/15/2022
N2V2 – Fixing Noise2Void Checkerboard Artifacts with Modified Sampling Strategies and a Tweaked Network Architecture
In recent years, neural network based image denoising approaches have re...
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04/06/2021
Fourier Image Transformer
Transformer architectures show spectacular performance on NLP tasks and ...
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04/03/2021
Removing Pixel Noises and Spatial Artifacts with Generative Diversity Denoising Methods
Image denoising and artefact removal are complex inverse problems admitt...
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01/25/2021
Embedding-based Instance Segmentation of Microscopy Images
Automatic detection and segmentation of objects in microscopy images is ...
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08/19/2020
Improving Blind Spot Denoising for Microscopy
Many microscopy applications are limited by the total amount of usable l...
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06/10/2020
DivNoising: Diversity Denoising with Fully Convolutional Variational Autoencoders
Deep Learning based methods have emerged as the indisputable leaders for...
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05/06/2020
DenoiSeg: Joint Denoising and Segmentation
Microscopy image analysis often requires the segmentation of objects, bu...
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04/14/2020
A Primal-Dual Solver for Large-Scale Tracking-by-Assignment
We propose a fast approximate solver for the combinatorial problem known...
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11/27/2019
Fully Unsupervised Probabilistic Noise2Void
Image denoising is the first step in many biomedical image analysis pipe...
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11/27/2019
Leveraging Self-supervised Denoising for Image Segmentation
Deep learning (DL) has arguably emerged as the method of choice for the ...
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06/03/2019
Probabilistic Noise2Void: Unsupervised Content-Aware Denoising
Today, Convolutional Neural Networks (CNNs) are the leading method for i...
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11/27/2018
Noise2Void - Learning Denoising from Single Noisy Images
The field of image denoising is currently dominated by discriminative de...
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10/12/2018
Cryo-CARE: Content-Aware Image Restoration for Cryo-Transmission Electron Microscopy Data
Multiple approaches to use deep learning for image restoration have rece...
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04/05/2017
Isotropic reconstruction of 3D fluorescence microscopy images using convolutional neural networks
Fluorescence microscopy images usually show severe anisotropy in axial v...
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02/21/2017
