research
∙
05/11/2023
Transformers for CT Reconstruction From Monoplanar and Biplanar Radiographs
Computed Tomography (CT) scans provide detailed and accurate information...
share
research
∙
05/11/2023
Cascaded Cross-Attention Networks for Data-Efficient Whole-Slide Image Classification Using Transformers
Whole-Slide Imaging allows for the capturing and digitization of high-re...
research
∙
02/07/2023
A Deep Learning-based in silico Framework for Optimization on Retinal Prosthetic Stimulation
We propose a neural network-based framework to optimize the perceptions ...
research
∙
12/18/2022
Medical Diagnosis with Large Scale Multimodal Transformers: Leveraging Diverse Data for More Accurate Diagnosis
Multimodal deep learning has been used to predict clinical endpoints and...
research
∙
11/07/2022
Medical Diffusion – Denoising Diffusion Probabilistic Models for 3D Medical Image Generation
Recent advances in computer vision have shown promising results in image...
research
∙
08/05/2021
Semi- and Self-Supervised Multi-View Fusion of 3D Microscopy Images using Generative Adversarial Networks
Recent developments in fluorescence microscopy allow capturing high-reso...
research
∙
07/21/2021
3D fluorescence microscopy data synthesis for segmentation and benchmarking
Automated image processing approaches are indispensable for many biomedi...
research
∙
05/03/2021
Robust 3D Cell Segmentation: Extending the View of Cellpose
Increasing data set sizes of digital microscopy imaging experiments dema...
research
∙
10/23/2020
Spherical Harmonics for Shape-Constrained 3D Cell Segmentation
Recent microscopy imaging techniques allow to precisely analyze cell mor...
research
∙
10/22/2020
CellCycleGAN: Spatiotemporal Microscopy Image Synthesis of Cell Populations using Statistical Shape Models and Conditional GANs
Automatic analysis of spatio-temporal microscopy images is inevitable fo...
research
∙
02/10/2020
Making Logic Learnable With Neural Networks
While neural networks are good at learning unspecified functions from tr...
research
∙
01/30/2020
Semi-Automatic Generation of Tight Binary Masks and Non-Convex Isosurfaces for Quantitative Analysis of 3D Biological Samples
Current in vivo microscopy allows us detailed spatiotemporal imaging (3D...
research
∙
10/01/2019
Towards Automatic Embryo Staging in 3D+T Microscopy Images using Convolutional Neural Networks and PointNets
Automatic analyses and comparisons of different stages of embryonic deve...
research
∙
04/15/2019
Algorithms used for the Cell Segmentation Benchmark Competition at ISBI 2019 by RWTH-GE
The presented algorithms for segmentation and tracking follow a 3-step a...
research
∙
10/16/2018
CNN-based Preprocessing to Optimize Watershed-based Cell Segmentation in 3D Confocal Microscopy Images
The quantitative analysis of cellular membranes helps understanding deve...
research
∙
06/19/2018
Transfer Learning with Human Corneal Tissues: An Analysis of Optimal Cut-Off Layer
Transfer learning is a powerful tool to adapt trained neural networks to...
research
∙
10/26/2017
SEGMENT3D: A Web-based Application for Collaborative Segmentation of 3D images used in the Shoot Apical Meristem
The quantitative analysis of 3D confocal microscopy images of the shoot ...
research
∙
10/18/2017
Cell Segmentation in 3D Confocal Images using Supervoxel Merge-Forests with CNN-based Hypothesis Selection
Automated segmentation approaches are crucial to quantitatively analyze ...
research
∙
08/30/2016
New Methods to Improve Large-Scale Microscopy Image Analysis with Prior Knowledge and Uncertainty
Multidimensional imaging techniques provide powerful ways to examine var...
research
∙
08/03/2016
Fuzzy-based Propagation of Prior Knowledge to Improve Large-Scale Image Analysis Pipelines
Many automatically analyzable scientific questions are well-posed and of...
research
∙
04/17/2016
Generating Semi-Synthetic Validation Benchmarks for Embryomics
Systematic validation is an essential part of algorithm development. The...
research
∙
02/09/2016