Annette Kopp-Schneider

Feb 12, 2024 | nature.com | Annika Reinke |Minu Tizabi |Michael Baumgartner |A. Emre Kavur |Tim Rädsch |Laura Acion | +36 more

AbstractValidation metrics are key for tracking scientific progress and bridging the current chasm between artificial intelligence research and its translation into practice. However, increasing evidence shows that, particularly in image analysis, metrics are often chosen inadequately.

Feb 12, 2024 | nature.com | Annika Reinke |Minu Tizabi |Michael Baumgartner |A. Emre Kavur |Tim Rädsch |Laura Acion | +36 more

AbstractValidation metrics are key for tracking scientific progress and bridging the current chasm between artificial intelligence research and its translation into practice. However, increasing evidence shows that, particularly in image analysis, metrics are often chosen inadequately.

Dec 8, 2023 | onlinelibrary.wiley.com | Silvia Calderazzo |Manuel Wiesenfarth |Annette Kopp-Schneider

1 INTRODUCTION While the adoption of Bayesian clinical trial designs is on the rise, particularly in early phase trials, additional reporting and “reasonable” control of frequentist operating characteristics has often been a requirement of regulatory authorities (Food & Drug Administration, 2010).

Aug 26, 2023 | onlinelibrary.wiley.com | Annette Kopp-Schneider |Manuel Wiesenfarth |Leonhard Held |Silvia Calderazzo

1 INTRODUCTION When trials can only be performed with small sample sizes as, for example, in the situation of precision medicine where patients cohorts are defined by a specific combination of biomarker and targeted therapy, borrowing information from historical data is currently discussed as an approach to improve the efficiency of the trial.

Mar 2, 2023 | nature.com | Annika Reinke |Annette Kopp-Schneider |Tim Rädsch |A. Emre Kavur

AbstractBiomedical image analysis algorithm validation depends on high-quality annotation of reference datasets, for which labelling instructions are key. Despite their importance, their optimization remains largely unexplored. Here we present a systematic study of labelling instructions and their impact on annotation quality in the field.