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

1 citations · 1 across the 2 of their papers we have counts for

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5 papers

cs.DC20231 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

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…