Radiomics and machine learning for predicting the consistency of benign tumors of the central nervous system: A systematic review von Koechli, Carole, Zwahlen, Daniel R., Schucht, Philippe, Windisch, Paul

Volltext

The Impact of Temperature on Extracting Information From Clinical Trial Publications Using Large Language Models von Windisch, Paul, Dennstädt, Fabio, Koechli, Carole, Schröder, Christina, Aebersold, Daniel M, Förster, Robert, Zwahlen, Daniel R

Volltext

Machine Learning for the Detection and Segmentation of Benign Tumors of the Central Nervous System: A Systematic Review von Windisch, Paul, Koechli, Carole, Rogers, Susanne, Schröder, Christina, Förster, Robert, Zwahlen, Daniel R, Bodis, Stephan

Volltext

Predicting the sample size of randomized controlled trials using natural language processing von Windisch, Paul, Dennstädt, Fabio, Koechli, Carole, Förster, Robert, Schröder, Christina, Aebersold, Daniel M, Zwahlen, Daniel R

Volltext

Convolutional Neural Networks to Detect Vestibular Schwannomas on Single MRI Slices: A Feasibility Study von Koechli, Carole, Vu, Erwin, Sager, Philipp, Näf, Lukas, Fischer, Tim, Putora, Paul M, Ehret, Felix, Fürweger, Christoph, Schröder, Christina, Förster, Robert, Zwahlen, Daniel R, Muacevic, Alexander, Windisch, Paul

Volltext

Machine Learning for the Detection and Segmentation of Benign Tumors of the Central Nervous System: A Systematic Review von Windisch, Paul, Koechli, Carole, Rogers, Susanne, Schröder, Christina, Förster, Robert, Zwahlen, Daniel R, Bodis, Stephan

Volltext