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06/09/2023
Exploring the Impact of Image Resolution on Chest X-ray Classification Performance
Deep learning models for image classification have often used a resoluti...
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06/09/2023
WindowNet: Learnable Windows for Chest X-ray Classification
Chest X-ray (CXR) images are commonly compressed to a lower resolution a...
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06/09/2023
Automated Labeling of German Chest X-Ray Radiology Reports using Deep Learning
Radiologists are in short supply globally, and deep learning models offe...
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06/05/2023
German CheXpert Chest X-ray Radiology Report Labeler
This study aimed to develop an algorithm to automatically extract annota...
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05/25/2023
Constrained Probabilistic Mask Learning for Task-specific Undersampled MRI Reconstruction
Undersampling is a common method in Magnetic Resonance Imaging (MRI) to ...
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03/20/2023
Cascaded Latent Diffusion Models for High-Resolution Chest X-ray Synthesis
While recent advances in large-scale foundational models show promising ...
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12/30/2022
ChatGPT Makes Medicine Easy to Swallow: An Exploratory Case Study on Simplified Radiology Reports
The release of ChatGPT, a language model capable of generating text that...
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08/01/2022
A knee cannot have lung disease: out-of-distribution detection with in-distribution voting using the medical example of chest X-ray classification
Deep learning models are being applied to more and more use cases with a...
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10/21/2021
Towards modelling hazard factors in unstructured data spaces using gradient-based latent interpolation
The application of deep learning in survival analysis (SA) gives the opp...
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10/21/2021
Survival-oriented embeddings for improving accessibility to complex data structures
Deep learning excels in the analysis of unstructured data and recent adv...
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04/03/2019