105 citations · 107 across the 5 of their papers we have counts for
5 papers
The autoPET3 Challenge: Automated Lesion Segmentation in Whole-Body PET/CT $\unicode{x2013}$ Multitracer Multicenter Generalization
Jakob Dexl, Katharina Jeblick, Andreas Mittermeier +27
We report the design and results of the third autoPET challenge (MICCAI 2024), which benchmarked automated lesion segmentation in whole-body PET/CT under a compositional generaliza…
Understanding the effects of data encoding on quantum-classical convolutional neural networks
Maureen Monnet, Nermine Chaabani, Theodora-Augustina Dragan +2
Quantum machine learning was recently applied to various applications and leads to results that are comparable or, in certain instances, superior to classical methods, in particula…
Pooling techniques in hybrid quantum-classical convolutional neural networks
Maureen Monnet, Hanady Gebran, Andrea Matic-Flierl +4
Quantum machine learning has received significant interest in recent years, with theoretical studies showing that quantum variants of classical machine learning algorithms can prov…
ChatGPT Makes Medicine Easy to Swallow: An Exploratory Case Study on Simplified Radiology Reports
Katharina Jeblick, Balthasar Schachtner, Jakob Dexl +8
The release of ChatGPT, a language model capable of generating text that appears human-like and authentic, has gained significant attention beyond the research community. We expect…
Quantum-classical convolutional neural networks in radiological image classification
Andrea Matic, Maureen Monnet, Jeanette Miriam Lorenz +2
Quantum machine learning is receiving significant attention currently, but its usefulness in comparison to classical machine learning techniques for practical applications remains…