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07/30/2023
SR-R^2KAC: Improving Single Image Defocus Deblurring
We propose an efficient deep learning method for single image defocus de...
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07/04/2023
Graph-Ensemble Learning Model for Multi-label Skin Lesion Classification using Dermoscopy and Clinical Images
Many skin lesion analysis (SLA) methods recently focused on developing a...
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06/23/2023
Runtime optimization of acquisition trajectories for X-ray computed tomography with a robotic sample holder
Tomographic imaging systems are expected to work with a wide range of sa...
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06/10/2023
Fast light-field 3D microscopy with out-of-distribution detection and adaptation through Conditional Normalizing Flows
Real-time 3D fluorescence microscopy is crucial for the spatiotemporal a...
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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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05/28/2023
Spherical acquisition trajectories for X-ray computed tomography with a robotic sample holder
This work presents methods for the seamless execution of arbitrary spher...
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03/16/2023
Improving Automated Hemorrhage Detection in Sparse-view Computed Tomography via Deep Convolutional Neural Network based Artifact Reduction
Intracranial hemorrhage poses a serious health problem requiring rapid a...
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03/13/2023
Optimizing Convolutional Neural Networks for Chronic Obstructive Pulmonary Disease Detection in Clinical Computed Tomography Imaging
Chronic Obstructive Pulmonary Disease (COPD) is a leading cause of death...
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03/03/2023
Attention-based Saliency Maps Improve Interpretability of Pneumothorax Classification
Purpose: To investigate chest radiograph (CXR) classification performanc...
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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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10/12/2018