activity
20222026
collaborators

5 papers

cs.CV2026

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…

cs.CV2025

Label-free Motion-Conditioned Diffusion Model for Cardiac Ultrasound Synthesis

Zhe Li, Hadrien Reynaud, Johanna P Müller +1

Ultrasound echocardiography is essential for the non-invasive, real-time assessment of cardiac function, but the scarcity of labelled data, driven by privacy restrictions and the c…

eess.IV2025

Diffusing the Blind Spot: Uterine MRI Synthesis with Diffusion Models

Johanna P. Müller, Anika Knupfer, Pedro Blöss +3

Despite significant progress in generative modelling, existing diffusion models often struggle to produce anatomically precise female pelvic images, limiting their application in g…

eess.IV2025

L-FUSION: Laplacian Fetal Ultrasound Segmentation & Uncertainty Estimation

Johanna P. Müller, Robert Wright, Thomas G. Day +6

Accurate analysis of prenatal ultrasound (US) is essential for early detection of developmental anomalies. However, operator dependency and technical limitations (e.g. intrinsic ar…

eess.IV2022

Adnexal Mass Segmentation with Ultrasound Data Synthesis

Clara Lebbos, Jen Barcroft, Jeremy Tan +5

Ovarian cancer is the most lethal gynaecological malignancy. The disease is most commonly asymptomatic at its early stages and its diagnosis relies on expert evaluation of transvag…