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Unpublished / Preprint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

Detection of Pulmonary Embolisms in NCCT Data Using nnDetection (2023) Vorberg L, Thamm F, Ditt H, Horger M, Hagen F, Maier A Conference contribution, Conference Contribution Robust multi-contrast MRI denoising using trainable bilateral filters without noise-free targets (2023) Pfaff L, Wagner F, Hoßbach J, Preuhs E, Maul N, Thies M, Denzinger F, et al. Conference contribution Quantitative evaluation of denoising algorithms without noise-free ground-truth data (2023) Pfaff L, Wagner F, Hoßbach J, Preuhs E, Nickel MD, Wuerfl T, Maier A Conference contribution Unsupervised denoising of prostate DWI (2023) Pfaff L, Wagner F, Hoßbach J, Preuhs E, Gadjimuradov F, Benkert T, Nickel MD, et al. Conference contribution CAD-RADS Scoring using Deep Learning and Task-Specific Centerline Labeling (2022) Denzinger F, Wels M, Taubmann O, Gülsün MA, Schöbinger M, Andre F, Buss SJ, et al. Conference contribution, Conference Contribution Detecting Large Vessel Occlusions using Graph Deep Learning (2022) Kassam J, Thamm F, Rist L, Taubmann O, Maier A Conference contribution, Original article Bifurcation matching for consistent cerebral vessel labeling in CTA of stroke patients (2022) Rist L, Taubmann O, Thamm F, Ditt H, Sühling M, Maier A Journal article An Algorithm for the Labeling and Interactive Visualization of the Cerebrovascular System of Ischemic Strokes (2022) Thamm F, Jürgens M, Taubmann O, Thamm A, Rist L, Ditt H, Maier A Journal article, Original article Deep Geometric Supervision Improves Spatial Generalization in Orthopedic Surgery Planning (2022) Kordon F, Maier A, Swartman B, Privalov M, El Barbari JS, Kunze H Conference contribution, Conference Contribution Fast Automatic Liver Tumor Radiofrequency Ablation Planning via Learned Physics Model (2022) Meister F, Audigier C, Passerini T, Lluch È, Mihalef V, Maier A, Tommaso M Conference contribution