Zobrazeno 1 - 10
of 45
pro vyhledávání: '"Andreas Fieselmann"'
Publikováno v:
International Journal of Biomedical Imaging, Vol 2011 (2011)
Deconvolution-based analysis of CT and MR brain perfusion data is widely used in clinical practice and it is still a topic of ongoing research activities. In this paper, we present a comprehensive derivation and explanation of the underlying physiolo
Externí odkaz:
https://doaj.org/article/fd608cb2493348dea23020a0e0fe2a99
Autor:
Jens Ricke, Michael Ingrisch, Balthasar Maria Schachtner, Andreas Fieselmann, Bastian O. Sabel, Awais Mansoor, Florin C. Ghesu, Philipp Wesp, Lena Trappmann, Christian Huemmer, Basel Munawwar, Johannes Rueckel
Publikováno v:
European Radiology
Objectives Diagnostic accuracy of artificial intelligence (AI) pneumothorax (PTX) detection in chest radiographs (CXR) is limited by the noisy annotation quality of public training data and confounding thoracic tubes (TT). We hypothesize that in-imag
Autor:
Richin Sukesh, Andreas Fieselmann, Srikrishna Jaganathan, Karthik Shetty, Rainer Kärgel, Florian Kordon, Steffen Kappler, Andreas Maier
Publikováno v:
Informatik aktuell ISBN: 9783658369316
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::76478cec1c15d6300f7776e931d68b4d
https://doi.org/10.1007/978-3-658-36932-3_13
https://doi.org/10.1007/978-3-658-36932-3_13
Autor:
Fatemeh Homayounieh, Subba Digumarthy, Shadi Ebrahimian, Johannes Rueckel, Boj Friedrich Hoppe, Bastian Oliver Sabel, Sailesh Conjeti, Karsten Ridder, Markus Sistermanns, Lei Wang, Alexander Preuhs, Florin Ghesu, Awais Mansoor, Mateen Moghbel, Ariel Botwin, Ramandeep Singh, Samuel Cartmell, John Patti, Christian Huemmer, Andreas Fieselmann, Clemens Joerger, Negar Mirshahzadeh, Victorine Muse, Mannudeep Kalra
Publikováno v:
JAMA Network Open
Key Points Question Can artificial intelligence (AI) improve detection of pulmonary nodules on chest radiographs at different levels of detection difficulty? Findings In this diagnostic study, AI-aided interpretation was associated with significantly
Autor:
Jan Rudolph, Sophia Goller, Nicola Fink, Johannes Rueckel, Alexander Preuhs, Julien Dinkel, Florin-Cristian Ghesu, Jens Ricke, Michael Ingrisch, Najib Ben Khaled, Abishek Balachandran, Christian Huemmer, Bastian O. Sabel, Maximilian Fischer, Awais Mansoor, Vincent Schwarze, Andreas Fieselmann, Maximilian Jörgens, Vanessa Koliogiannis, Reddappagari Suryanarayana Vishwanath
Publikováno v:
Investigative radiology. 57(2)
OBJECTIVES Chest radiographs (CXRs) are commonly performed in emergency units (EUs), but the interpretation requires radiology experience. We developed an artificial intelligence (AI) system (precommercial) that aims to mimic board-certified radiolog
Autor:
Robyn Melanie Benz, Anna Hirschmann, Bram Stieltjes, Andreas Fieselmann, Dorothee Harder, Anna L. Falkowski, Johannes Voigt, Felix Amsler
Publikováno v:
Investigative Radiology. 53:714-719
The aims of this study were to assess feasibility, image quality, and radiation dose and to estimate the optimal dose protocol for the lumbar spine of cadaveric specimens with different body mass indices (BMIs) in the upright position using a prototy
Publikováno v:
European Radiology
To compare software estimates of volumetric breast density (VBD) based on breast tomosynthesis (BT) projections to those based on digital mammography (DM) images in a large screening cohort, the Malmo Breast Tomosynthesis Screening Trial (MBTST). DM
Autor:
Nicole Kaiser, Andreas Fieselmann, Steffen Kappler, Ludwig Ritschl, Andreas Maier, Sulaiman Vesal, Nishant Ravikumar
Publikováno v:
Medical Imaging: Image Perception, Observer Performance, and Technology Assessment
Mammographic breast density is an important risk marker in breast cancer screening. The ACR BI-RADS guidelines (5th ed.) define four breast density categories that can be dichotomized by the two super-classes dense" and not dense". Due to the qualita
Autor:
Thomas Mertelmeier, Hanna Sartor, Sophia Zackrisson, Steffen Kappler, Kristina Lång, Ludwig Ritschl, Andreas Fieselmann, Hannie Förnvik, Daniel Förnvik
Publikováno v:
Journal of Medical Imaging, 6 (3)
Assessment of breast density at the point of mammographic examination could lead to optimized breast cancer screening pathways. The onsite breast density information may offer guidance of when to recommend supplemental imaging for women in a screenin
Autor:
Hanna Sartor, Kristina Lång, Thomas Mertelmeier, Sophia Zackrisson, Hannie Förnvik, Daniel Förnvik, Andreas Fieselmann, Ludwig Ritschl
Publikováno v:
IWBI
Assessment of breast density at the point of mammographic examination could lead to optimized breast cancer screening pathways. The onsite breast density information may offer guidance when to recommend supplemental imaging for women in a screening p