most citedAttention-based Saliency Maps Improve Interpretability of Pneumothorax Classification

62 citations · 64 across the 7 of their papers we have counts for

collaborators

7 papers

cs.DC2023★ 1 cited

Equilibrium: Optimization of Ceph Cluster Storage by Size-Aware Shard Balancing

Jonas Jelten, Alessandro Wollek, David Frank +1

Worldwide, storage demands and costs are increasing. As a consequence of fault tolerance, storage device heterogenity, and data center specific constraints, optimal storage capacit…

cs.CL2023

Automated Labeling of German Chest X-Ray Radiology Reports using Deep Learning

Alessandro Wollek, Philip Haitzer, Thomas Sedlmeyr +5

Radiologists are in short supply globally, and deep learning models offer a promising solution to address this shortage as part of clinical decision-support systems. However, train…

cs.CL2023

German CheXpert Chest X-ray Radiology Report Labeler

Alessandro Wollek, Sardi Hyska, Thomas Sedlmeyr +5

This study aimed to develop an algorithm to automatically extract annotations for chest X-ray classification models from German thoracic radiology reports. An automatic label extra…

cs.CV2023★ 1 cited

Higher Chest X-ray Resolution Improves Classification Performance

Alessandro Wollek, Sardi Hyska, Bastian Sabel +2

Deep learning models for image classification are often trained at a resolution of 224 x 224 pixels for historical and efficiency reasons. However, chest X-rays are acquired at a m…

eess.IV2023

WindowNet: Learnable Windows for Chest X-ray Classification

Alessandro Wollek, Sardi Hyska, Bastian Sabel +2

Chest X-ray (CXR) images are commonly compressed to a lower resolution and bit depth to reduce their size, potentially altering subtle diagnostic features. Radiologists use windowi…

eess.IV2023★ 62 cited

Attention-based Saliency Maps Improve Interpretability of Pneumothorax Classification

Alessandro Wollek, Robert Graf, Saša Čečatka +4

Purpose: To investigate chest radiograph (CXR) classification performance of vision transformers (ViT) and interpretability of attention-based saliency using the example of pneumot…

eess.IV2022

A knee cannot have lung disease: out-of-distribution detection with in-distribution voting using the medical example of chest X-ray classification

Alessandro Wollek, Theresa Willem, Michael Ingrisch +2

To investigate the impact of OOD radiographs on existing chest X-ray classification models and to increase their robustness against OOD data. The study employed the commonly used c…