activity
20162023
most citedStandard error estimation in meta-analysis of studies reporting medians

49 citations · 130 across the 8 of their papers we have counts for

collaborators

9 papers

eess.IV2023★ 6 cited

Unsupervised Domain Transfer with Conditional Invertible Neural Networks

Kris K. Dreher, Leonardo Ayala, Melanie Schellenberg +11

Synthetic medical image generation has evolved as a key technique for neural network training and validation. A core challenge, however, remains in the domain gap between simulatio…

stat.ME2022★ 49 cited

Standard error estimation in meta-analysis of studies reporting medians

Sean McGrath, Stephan Katzenschlager, Alexandra J. Zimmer +3

We consider the setting of an aggregate data meta-analysis of a continuous outcome of interest. When the distribution of the outcome is skewed, it is often the case that some prima…

eess.IV2021★ 36 cited

Semantic segmentation of multispectral photoacoustic images using deep learning

Melanie Schellenberg, Kris Dreher, Niklas Holzwarth +7

Photoacoustic (PA) imaging has the potential to revolutionize functional medical imaging in healthcare due to the valuable information on tissue physiology contained in multispectr…

eess.IV2021★ 25 cited

Photoacoustic image synthesis with generative adversarial networks

Melanie Schellenberg, Janek Gröhl, Kris K. Dreher +5

Photoacoustic tomography (PAT) has the potential to recover morphological and functional tissue properties with high spatial resolution. However, previous attempts to solve the opt…

physics.med-ph2020

Tattoo tomography: Freehand 3D photoacoustic image reconstruction with an optical pattern

Niklas Holzwarth, Melanie Schellenberg, Janek Gröhl +6

Purpose: Photoacoustic tomography (PAT) is a novel imaging technique that can spatially resolve both morphological and functional tissue properties, such as the vessel topology and…

cs.CY2020

Surgical Data Science -- from Concepts toward Clinical Translation

Lena Maier-Hein, Matthias Eisenmann, Duygu Sarikaya +47

Recent developments in data science in general and machine learning in particular have transformed the way experts envision the future of surgery. Surgical Data Science (SDS) is a…

physics.med-ph2019

Navigated interventions in the head and neck area: standardized assessment of a new handy field generator

Benjamin J. Mittmann, Alexander Seitel, Lena Maier-Hein +1

Electromagnetic (EM) tracking enables localization of surgical instruments within the magnetic field emitted by an EM field generator (FG). Usually, the larger a FG is, the larger…

physics.med-ph2019

Open-source Tracked Ultrasound with Anser EMT

Alfred Michael Franz, Herman Alexander Jaeger, Alexander Seitel +2

Image-guided Interventions (IGT) have shown a huge potential to improve medical procedures or even allow for new treatment options. Most ultrasound(US)-based IGT systems use electr…

cs.CV2016★ 14 cited

Clickstream analysis for crowd-based object segmentation with confidence

Eric Heim, Alexander Seitel, Jonas Andrulis +4

With the rapidly increasing interest in machine learning based solutions for automatic image annotation, the availability of reference annotations for algorithm training is one of…