research
∙
08/03/2023
Focus on Content not Noise: Improving Image Generation for Nuclei Segmentation by Suppressing Steganography in CycleGAN
Annotating nuclei in microscopy images for the training of neural networ...
share
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...
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
∙
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
∙
12/12/2019
Coronary Artery Plaque Characterization from CCTA Scans using Deep Learning and Radiomics
Assessing coronary artery plaque segments in coronary CT angiography sca...
research
∙
11/19/2019
Projection-to-Projection Translation for Hybrid X-ray and Magnetic Resonance Imaging
Hybrid X-ray and magnetic resonance (MR) imaging promises large potentia...
research
∙
11/06/2019
What Do We Really Need? Degenerating U-Net on Retinal Vessel Segmentation
Retinal vessel segmentation is an essential step for fundus image analys...
research
∙
07/14/2019
A Divide-and-Conquer Approach towards Understanding Deep Networks
Deep neural networks have achieved tremendous success in various fields ...
research
∙
04/30/2018
Decoupling Respiratory and Angular Variation in Rotational X-ray Scans Using a Prior Bilinear Model
Data-driven respiratory signal extraction from rotational X-ray scans ha...
research
∙
04/11/2018
Projection image-to-image translation in hybrid X-ray/MR imaging
The potential benefit of hybrid X-ray and MR imaging in the intervention...
research
∙
02/15/2018
Learning from a Handful Volumes: MRI Resolution Enhancement with Volumetric Super-Resolution Forests
Magnetic resonance imaging (MRI) enables 3-D imaging of anatomical struc...
research
∙
11/09/2017
Frangi-Net: A Neural Network Approach to Vessel Segmentation
In this paper, we reformulate the conventional 2-D Frangi vesselness mea...
research
∙
10/17/2017