most citedTracked 3D Ultrasound and Deep Neural Network-based Thyroid Segmentation reduce Interobserver Variability in Thyroid Volumetry

43 citations · 91 across the 4 of their papers we have counts for

collaborators

5 papers

cs.RO2023★ 1 cited

On the Importance of Patient Acceptance for Medical Robotic Imaging

Christine Eilers, Rob van Kemenade, Benjamin Busam +1

Purpose: Mutual acceptance is required for any human-to-human interaction. Therefore, one would assume that this also holds for robot-patient interactions. However, the medical rob…

eess.IV2023★ 16 cited

Ultra-NeRF: Neural Radiance Fields for Ultrasound Imaging

Magdalena Wysocki, Mohammad Farid Azampour, Christine Eilers +3

We present a physics-enhanced implicit neural representation (INR) for ultrasound (US) imaging that learns tissue properties from overlapping US sweeps. Our proposed method leverag…

cs.RO2021★ 31 cited

RSV: Robotic Sonography for Thyroid Volumetry

John Zielke, Christine Eilers, Benjamin Busam +3

In nuclear medicine, radioiodine therapy is prescribed to treat diseases like hyperthyroidism. The calculation of the prescribed dose depends, amongst other factors, on the thyroid…

cs.CV2021★ 43 cited

Tracked 3D Ultrasound and Deep Neural Network-based Thyroid Segmentation reduce Interobserver Variability in Thyroid Volumetry

Markus Krönke, Christine Eilers, Desislava Dimova +9

Background: Thyroid volumetry is crucial in diagnosis, treatment and monitoring of thyroid diseases. However, conventional thyroid volumetry with 2D ultrasound is highly operator-d…

eess.IV2021

Rethinking Ultrasound Augmentation: A Physics-Inspired Approach

Maria Tirindelli, Christine Eilers, Walter Simson +3

Medical Ultrasound (US), despite its wide use, is characterized by artifacts and operator dependency. Those attributes hinder the gathering and utilization of US datasets for the t…