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07/31/2023
Investigating and Improving Latent Density Segmentation Models for Aleatoric Uncertainty Quantification in Medical Imaging
Data uncertainties, such as sensor noise or occlusions, can introduce ir...
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07/25/2023
A signal processing interpretation of noise-reduction convolutional neural networks
Encoding-decoding CNNs play a central role in data-driven noise reductio...
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05/01/2023
Probabilistic 3D segmentation for aleatoric uncertainty quantification in full 3D medical data
Uncertainty quantification in medical images has become an essential add...
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11/06/2022
Towards real-time 6D pose estimation of objects in single-view cone-beam X-ray
Deep learning-based pose estimation algorithms can successfully estimate...
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08/09/2022
Efficient Out-of-Distribution Detection of Melanoma with Wavelet-based Normalizing Flows
Melanoma is a serious form of skin cancer with high mortality rate at la...
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08/06/2022
Improved Pancreatic Tumor Detection by Utilizing Clinically-Relevant Secondary Features
Pancreatic cancer is one of the global leading causes of cancer-related ...
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06/06/2018