Matthias May

ORCID: 0000-0002-1252-806X · 3 papers in corpus
article 2025
Deep Supervision Attention U-net for segmentation of uterine zones: a multi-center study
·doi:10.58530/2025/0105

Motivation: The microstructure in the wall of the uterus is key for normal uterine physiology throughout the menstrual cycle and altered in diseases such as adenomyosis. Visualization and quantification in-vivo is thus essential. While MRI …

book-chapter 2025
UteroVAE: A Shape-Informed Variational Autoencoder for Uterine MRI Encoding in Adenomyosis, Fibroids, and Healthy Uteri
·doi:10.1007/978-3-032-05825-6_7
letter 2023
Editorial for "Magnetic Resonance Imaging-Based Classification Systems for Informing Better Outcomes of Adenomyosis After Ultrasound-Guided High-Intensity Focused Ultrasound Ablating Surgery"
Journal of magnetic resonance imaging : JMRI ·doi:10.1002/jmri.28988