4 citations · 10 across the 12 of their papers we have counts for
5 papers · 1 filter
STORK: Spatio-Temporal Observation of uterine contRactions via neural networKs
Melissa Schween, Tristan Gottwald, Jordina Aviles Verdera +3
Uterine contractions in fetal MRI are typically identified manually and discarded, limiting insights into contraction dynamics. We formalize Uterine Contractile Activity Detection…
Unsupervised Adversarial Domain Adaptation for Uterine layer Segmentation: From Labeled Cine to Unlabeled Dynamic EPI MRI
Smiti Tripathy, Milauni Desai, Jordina Aviles Verdera +1
Uterine peristalsis is a key physiological phenomenon responsible for various functions across the menstrual cycle, intimately linked to uterine wall microstructure. Alterations in…
Panda: Unsupervised Pelvic Anomaly Detection for Real-Time MR Imaging
Anika Knupfer, Maximilian Lindholz, Johanna Paula Müller +4
Female pelvic diseases remain an under researched area characterized by often delayed diagnosis. While pelvic MRI offers superior soft-tissue contrast for diagnosis and image-guide…
Female-RHINO: A Real-Time Scanner-Integrated Framework for Automated Quantitative Uterine MRI Analysis and Structured Reporting
Deepak Bhatia, Saad Ahmad, Smiti Tripathy +7
Standardized assessment of uterine MRI remains challenging due to anatomical variability, observer dependence, and the lack of workflow-integrated automated analysis tools. This wo…
Unsupervised Anomaly Detection of Diseases in the Female Pelvis for Real-Time MR Imaging
Anika Knupfer, Johanna P. Müller, Jordina A. Verdera +9
Pelvic diseases in women of reproductive age represent a major global health burden, with diagnosis frequently delayed due to high anatomical variability, complicating MRI interpre…