Siemens Healthineers

Industry / private company


Location: Erlangen, Germany (DE) DE

ISNI: 0000000405524145

ROR: https://ror.org/0449c4c15

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Types of publications

Journal article
Book chapter / Article in edited volumes
Authored book
Translation
Thesis
Edited Volume
Conference contribution
Other publication type
Unpublished / Preprint

Publication year

From
To

Abstract

Journal

Pitfalls in interventional X-ray organ dose assessment—combined experimental and computational phantom study: application to prostatic artery embolization (2019) Roser P, Birkhold A, Zhong X, Ochs P, Stepina E, Kowarschik M, Fahrig R, Maier A Journal article, Original article Adaptive Temporal Sampling for Volumetric Path Tracing of Medical Data (2019) Martschinke J, Hartnagel S, Keinert B, Engel K, Stamminger M Conference contribution, Original article A machine learning pipeline for internal anatomical landmark embedding based on a patient surface model (2019) Zhong X, Strobel N, Birkhold A, Kowarschik M, Fahrig R, Maier A Journal article Ideal Seed Point Location Approximation for GrowCut Interactive Image Segmentation (2018) Amrehn M, Strumia M, Steidl S, Horz T, Kowarschik M, Maier A Conference contribution, Conference Contribution Classification of body regions based on MRI log files (2018) Kuhnert N, Lindenmayr O, Maier A Book chapter / Article in edited volumes Towards Fast Biomechanical Modeling of Soft Tissue Using Neural Networks (2018) Meister F, Passerini T, Mihalef V, Tuysuzoglu A, Maier A, Mansi T Conference contribution, Abstract of a poster Multiple Device Segmentation for Fluoroscopic Imaging Using Multi-task Learning (2018) Breininger K, Würfl T, Kurzendorfer T, Albarqouni S, Pfister M, Kowarschik M, Navab N, Maier A Conference contribution Intraoperative stent segmentation in X-ray fluoroscopy for endovascular aortic repair (2018) Breininger K, Albarqouni S, Kurzendorfer T, Pfister M, Kowarschik M, Maier A Conference contribution An anthropomorphic deformable phantom for brain shift simulation (2018) Bayer S, Wydra A, Zhong X, Ravikumar N, Strumia M, Schaffert R, Ostermeier M, et al. Conference contribution Material Decomposition Using Ensemble Learning for Spectral X-ray Imaging (2018) Lu Y, Kowarschik M, Huang X, Chen S, Ren Q, Fahrig R, Hornegger J, Maier A Journal article