research
∙
07/14/2023
Adaptive Region Selection for Active Learning in Whole Slide Image Semantic Segmentation
The process of annotating histological gigapixel-sized whole slide image...
share
research
∙
06/01/2023
Wuerstchen: Efficient Pretraining of Text-to-Image Models
We introduce Wuerstchen, a novel technique for text-to-image synthesis t...
research
∙
12/15/2022
Attention-based Multiple Instance Learning for Survival Prediction on Lung Cancer Tissue Microarrays
Attention-based multiple instance learning (AMIL) algorithms have proven...
research
∙
12/15/2022
Deep Learning-Based Automatic Assessment of AgNOR-scores in Histopathology Images
Nucleolar organizer regions (NORs) are parts of the DNA that are involve...
research
∙
12/12/2022
Deep learning-based Subtyping of Atypical and Normal Mitoses using a Hierarchical Anchor-Free Object Detector
Mitotic activity is key for the assessment of malignancy in many tumors....
research
∙
11/14/2022
Fast Text-Conditional Discrete Denoising on Vector-Quantized Latent Spaces
Conditional text-to-image generation has seen countless recent improveme...
research
∙
08/25/2021
Domain Adversarial RetinaNet as a Reference Algorithm for the MItosis DOmain Generalization (MIDOG) Challenge
Assessing the Mitotic Count has a known high degree of intra- and inter-...
research
∙
11/30/2019
Fooling the Crowd with Deep Learning-based Methods
Modern, state-of-the-art deep learning approaches yield human like perfo...
research
∙
11/25/2019
Learning New Tricks from Old Dogs – Inter-Species, Inter-Tissue Domain Adaptation for Mitotic Figure Assessment
For histopathological tumor assessment, the count of mitotic figures per...
research
∙
08/12/2019
Deep Learning-Based Quantification of Pulmonary Hemosiderophages in Cytology Slides
Purpose: Exercise-induced pulmonary hemorrhage (EIPH) is a common syndro...
research
∙
02/24/2019
Transferability of Deep Learning Algorithms for Malignancy Detection in Confocal Laser Endomicroscopy Images from Different Anatomical Locations of the Upper Gastrointestinal T
Squamous Cell Carcinoma (SCC) is the most common cancer type of the epit...
research
∙
02/12/2019
Field of Interest Prediction for Computer-Aided Mitotic Count
Manual counts of mitotic figures, which are determined in the tumor regi...
research
∙
10/22/2018
Field Of Interest Proposal for Augmented Mitotic Cell Count: Comparison of two Convolutional Networks
Most tumor grading systems for human as for veterinary histopathology ar...
research
∙
10/01/2018
Augmented Mitotic Cell Count using Field Of Interest Proposal
Histopathological prognostication of neoplasia including most tumor grad...
research
∙
05/03/2018
Deep Denoising for Hearing Aid Applications
Reduction of unwanted environmental noises is an important feature of to...
research
∙
02/07/2018
SlideRunner - A Tool for Massive Cell Annotations in Whole Slide Images
Large-scale image data such as digital whole-slide histology images pose...
research
∙
11/03/2017
Motion Artifact Detection in Confocal Laser Endomicroscopy Images
Confocal Laser Endomicroscopy (CLE), an optical imaging technique allowi...
research
∙
07/26/2017
A Guided Spatial Transformer Network for Histology Cell Differentiation
Identification and counting of cells and mitotic figures is a standard t...
research
∙
07/25/2017
Patch-based Carcinoma Detection on Confocal Laser Endomicroscopy Images - A Cross-Site Robustness Assessment
Deep learning technologies such as convolutional neural networks (CNN) p...
research
∙
03/05/2017
