research
∙
04/26/2023
Effect of latent space distribution on the segmentation of images with multiple annotations
We propose the Generalized Probabilistic U-Net, which extends the Probab...
share
research
∙
07/27/2022
Future Unruptured Intracranial Aneurysm Growth Prediction using Mesh Convolutional Neural Networks
The growth of unruptured intracranial aneurysms (UIAs) is a predictor of...
research
∙
07/26/2022
Generalized Probabilistic U-Net for medical image segementation
We propose the Generalized Probabilistic U-Net, which extends the Probab...
research
∙
06/22/2022
Influence of uncertainty estimation techniques on false-positive reduction in liver lesion detection
Deep learning techniques show success in detecting objects in medical im...
research
∙
06/08/2022
Progressive GANomaly: Anomaly detection with progressively growing GANs
In medical imaging, obtaining large amounts of labeled data is often a h...
research
∙
08/05/2021
MixLacune: Segmentation of lacunes of presumed vascular origin
Lacunes of presumed vascular origin are fluid-filled cavities of between...
research
∙
08/05/2021
MixMicrobleed: Multi-stage detection and segmentation of cerebral microbleeds
Cerebral microbleeds are small, dark, round lesions that can be visualis...
research
∙
08/03/2021
MixMicrobleedNet: segmentation of cerebral microbleeds using nnU-Net
Cerebral microbleeds are small hypointense lesions visible on magnetic r...
research
∙
07/22/2021
Explainable artificial intelligence (XAI) in deep learning-based medical image analysis
With an increase in deep learning-based methods, the call for explainabi...
research
∙
01/20/2021
Variational Autoencoders with a Structural Similarity Loss in Time of Flight MRAs
Time-of-Flight Magnetic Resonance Angiographs (TOF-MRAs) enable visualiz...
research
∙
01/12/2021
Using uncertainty estimation to reduce false positives in liver lesion detection
Despite the successes of deep learning techniques at detecting objects i...
research
∙
10/15/2019
Liver segmentation and metastases detection in MR images using convolutional neural networks
Primary tumors have a high likelihood of developing metastases in the li...
research
∙
08/22/2019
Optimal input configuration of dynamic contrast enhanced MRI in convolutional neural networks for liver segmentation
Most MRI liver segmentation methods use a structural 3D scan as input, s...
research
∙
04/01/2019
Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge
Quantification of cerebral white matter hyperintensities (WMH) of presum...
research
∙
11/22/2018
