Zobrazeno 1 - 10
of 39
pro vyhledávání: '"Hannes, Nickisch"'
We use a prevailed technique to extract image features and classify 4 seasons of aurora all sky images, combine these with Solar wind and interplanetary magnetic field (IMF) data and use this as a basis to forecast the onset of geomagnetic substorms
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b178f7f1ee560e017c7123df29cb248a
https://doi.org/10.22541/essoar.168394730.08937615/v1
https://doi.org/10.22541/essoar.168394730.08937615/v1
Autor:
Harald Ittrich, Tobias Knopp, Ivo M. Baltruschat, Gerhard Adam, Michael Grass, Hannes Nickisch, Axel Saalbach, Leonhard Steinmeister
Publikováno v:
European Radiology
Objective The aim is to evaluate whether smart worklist prioritization by artificial intelligence (AI) can optimize the radiology workflow and reduce report turnaround times (RTATs) for critical findings in chest radiographs (CXRs). Furthermore, we i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8c5f86c191a3f90d9ef2b854dd379e56
https://doi.org/10.1007/s00330-020-07480-7
https://doi.org/10.1007/s00330-020-07480-7
Autor:
Tobias Wissel, Katharina A. Riedl, Klaus Schaefers, Hannes Nickisch, Fabian J. Brunner, Nikolas D. Schnellbaecher, Stefan Blankenberg, Moritz Seiffert, Michael Grass
Publikováno v:
J Med Imaging (Bellingham)
PURPOSE: Implanting stents to re-open stenotic lesions during percutaneous coronary interventions is considered a standard treatment for acute or chronic coronary syndrome. Intravascular ultrasound (IVUS) can be used to guide and assess the technical
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6fdd45921883bd01230c4bc6effea3aa
https://doi.org/10.1117/1.jmi.9.2.025001
https://doi.org/10.1117/1.jmi.9.2.025001
Autor:
Rolf Bippus, Tanja Lossau, Michael Grass, Hannes Nickisch, Holger Schmitt, Michael M. Morlock, Tobias Wissel
Publikováno v:
Medical Image Analysis. 52:68-79
Excellent image quality is a primary prerequisite for diagnostic non-invasive coronary CT angiography. Artifacts due to cardiac motion may interfere with detection and diagnosis of coronary artery disease and render subsequent treatment decisions mor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a7a84e17c97381c0bae46453816430b0
https://doi.org/10.1016/j.media.2018.11.003
https://doi.org/10.1016/j.media.2018.11.003
Autor:
Klaus Schaefers, Katharina A. Riedl, Hannes Nickisch, Fabian J. Brunner, Moritz Seiffert, Tobias Wissel, Stefan Blankenberg, Nikolas Schnellbaecher, Michael Grass
Publikováno v:
Medical Imaging 2021: Image-Guided Procedures, Robotic Interventions, and Modeling.
Ischemic heart disease remains one of the leading causes of death worldwide. Percutaneous coronary interventions (PCIs) for implanting coronary stents are preferred for patients with acute myocardial infarction but may also be performed in patients w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::906f5bc8aadbd33a550f6651f06243e5
https://doi.org/10.1117/12.2580710
https://doi.org/10.1117/12.2580710
Autor:
Nikolas D. Schnellbächer, Michael Grass, Haissam Ragab, Clemens Spink, Hannes Nickisch, Tobias Wissel, Gunnar K. Lund
Publikováno v:
Medical Imaging 2021: Computer-Aided Diagnosis.
Coronary computed tomography angiography (coronary CTA) is a robust and well-established non-invasive diagnostic tool to detect and assess coronary artery disease (CAD). The accurate detection, quantification and characterization of the coronary plaq
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::86f9ed642f542d464bccbb007d492fe8
https://doi.org/10.1117/12.2582195
https://doi.org/10.1117/12.2582195
Publikováno v:
ISBI
We propose a deep learning-based automatic coronary artery tree centerline tracker (AuCoTrack) extending the vessel tracker by Wolterink (arXiv:1810.03143). A dual pathway Convolutional Neural Network (CNN) operating on multi-scale 3D inputs predicts
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f2a3982fa9eb9e5695afbe0ea3b3da60
http://arxiv.org/abs/2010.00925
http://arxiv.org/abs/2010.00925
Publikováno v:
Journal of Geophysical Research: Space Physics. 123:5640-5647
Based on their salient features we manually label 5,824 images from various Time History of Events and Macroscale Interactions during Substorms (THEMIS) all‐sky imagers; the labels we use are clear/no aurora, cloudy, moon, arc, diffuse, and discret
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::95b69b7631d68f105d8bbd44f395c154
https://doi.org/10.1029/2018ja025274
https://doi.org/10.1029/2018ja025274
Autor:
Liran Goshen, Moti Freiman, Mani Vembar, Hannes Nickisch, Patrick Donnelly, Pál Maurovich-Horvat, Holger Schmitt
Publikováno v:
Medical Physics. 45:1170-1177
Purpose The purpose of this study is to develop and evaluate a functionally personalized boundary condition (BC) model for estimating the fractional flow reserve (FFR) from coronary computed tomography angiography (CCTA) using flow simulation (CT-FFR
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::693135aec372f02f8286d64277c51022
https://doi.org/10.1002/mp.12753
https://doi.org/10.1002/mp.12753