Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Heidi Daniel"'
Autor:
Sebastian Bickelhaupt, Franziska Steudle, Daniel Paech, Anna Mlynarska, Tristan Anselm Kuder, Wolfgang Lederer, Heidi Daniel, Martin Freitag, Stefan Delorme, Heinz-Peter Schlemmer, Frederik Bernd Laun
Publikováno v:
PLoS ONE, Vol 12, Iss 4, p e0176077 (2017)
To evaluate a fractional order calculus (FROC) model in diffusion weighted imaging to differentiate between malignant and benign breast lesions in breast cancer screening work-up using recently introduced parameters (βFROC, DFROC and μFROC).This re
Externí odkaz:
https://doaj.org/article/d6a0318232c048b1904974cc424d8063
Autor:
Jaeger, Paul, Bickelhaupt, Sebastian, Laun, Frederik Bernd, Lederer, Wolfgang, Heidi, Daniel, Kuder, Tristan Anselm, Paech, Daniel, Bonekamp, David, Radbruch, Alexander, Delorme, Stefan, Schlemmer, Heinz-Peter, Steudle, Franziska, Maier-Hein, Klaus H.
Mammography screening for early detection of breast lesions currently suffers from high amounts of false positive findings, which result in unnecessary invasive biopsies. Diffusion-weighted MR images (DWI) can help to reduce many of these false-posit
Externí odkaz:
http://arxiv.org/abs/1702.08379
Autor:
Fangrong Zong, Petrik Galvosas, Wolfgang Lederer, Heidi Daniel, Heinz Peter Schlemmer, Sebastian Bickelhaupt, Tristan Anselm Kuder, Anne Stieber, Frederik Bernd Laun
Publikováno v:
Journal of Computer Assisted Tomography. 43:434-442
Objectives Motivated by the similar appearance of malignant breast lesions in high b-value diffusion-weighted imaging (DWI) and positron emission tomography, the purpose of this work was to evaluate the applicability of a threshold isocontouring appr
Autor:
Franziska König, Tristan Anselm Kuder, Heinz-Peter Schlemmer, Heidi Daniel, Wolfgang Lederer, Stefan Delorme, Frederik Bernd Laun, Anna Mlynarska-Bujny, Mark E. Ladd, Sebastian Bickelhaupt
Publikováno v:
Scientific Reports
Scientific Reports, Vol 10, Iss 1, Pp 1-12 (2020)
Scientific Reports, Vol 10, Iss 1, Pp 1-12 (2020)
Recent studies showed the potential of diffusion kurtosis imaging (DKI) as a tool for improved classification of suspicious breast lesions. However, in diffusion-weighted imaging of the female breast, sufficient fat suppression is one of the main fac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f77712eac0c98af7fc008b9a4e7f192e
https://opus4.kobv.de/opus4-fau/frontdoor/index/index/docId/23162
https://opus4.kobv.de/opus4-fau/frontdoor/index/index/docId/23162
Autor:
Franziska Steudle, Heinz Peter Schlemmer, Frederik Bernd Laun, David Bonekamp, Manuel Wiesenfarth, Michael Götz, Klaus H. Maier-Hein, Heidi Daniel, Wolfgang Lederer, Daniel Paech, Philipp Kickingereder, Nils Gählert, Sebastian Bickelhaupt, Diana Tichy
Publikováno v:
Journal of Magnetic Resonance Imaging. 46:604-616
Purpose To assess radiomics as a tool to determine how well lesions found suspicious on breast cancer screening X-ray mammography can be categorized into malignant and benign with unenhanced magnetic resonance (MR) mammography with diffusion-weighted
Autor:
Wolfgang Lederer, Tristan Anselm Kuder, Jan Hering, Frederik Bernd Laun, Stefan Delorme, Heinz Peter Schlemmer, Klaus H. Maier-Hein, Heidi Daniel, Anne Stieber, Sebastian Bickelhaupt
Publikováno v:
Clinical Imaging. 40:1280-1285
Introduction To evaluate the feasibility and accuracy of a semiautomatic, three-dimensional volume of interest (3D sphere) for measuring the apparent diffusion coefficient (ADC) in suspicious breast lesions compared to conventional single-slice two-d
Autor:
F König, Frederik Bernd Laun, Wolfgang Lederer, T Kuder, Heidi Daniel, S Delorme, H Schlemmer, S Bickelhaupt, A Mlynarska-Bujny
Publikováno v:
Einheit in Vielfalt.
Autor:
Frederik Bernd Laun, Wolfgang Lederer, Klaus H. Maier-Hein, Heidi Daniel, Heinz Peter Schlemmer, Lorenz Wuesthof, Alexander Radbruch, Franziska Steudle, Tristan Anselm Kuder, Stefan Delorme, Daniel Paech, Sebastian Bickelhaupt, Paul F. Jaeger, David Bonekamp
Publikováno v:
Radiology. 287(3)
Purpose To evaluate a radiomics model of Breast Imaging Reporting and Data System (BI-RADS) 4 and 5 breast lesions extracted from breast-tissue-optimized kurtosis magnetic resonance (MR) imaging for lesion characterization by using a sensitivity thre
Autor:
Franziska König, Tristan Anselm Kuder, Frederik Bernd Laun, Klaus H. Maier-Hein, Heidi Daniel, Wolfgang Lederer, Stefan Delorme, Heinz Peter Schlemmer, Paul F. Jäger, Jennifer Kamphenkel, Sebastian Bickelhaupt
Publikováno v:
Image Analysis for Moving Organ, Breast, and Thoracic Images ISBN: 9783030009458
RAMBO+BIA+TIA@MICCAI
RAMBO+BIA+TIA@MICCAI
End-to-end deep learning improves breast cancer classification on diffusion-weighted MR images (DWI) using a convolutional neural network (CNN) architecture. A limitation of CNN as opposed to previous model-based approaches is the dependence on speci
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0c8cc6918e5d272f8a7be051a6995a4e
https://doi.org/10.1007/978-3-030-00946-5_8
https://doi.org/10.1007/978-3-030-00946-5_8
Autor:
Anne Stieber, Heidi Daniel, Anna Mlynarska, Tristan Anselm Kuder, Mark E. Ladd, S. Schneider, Sebastian Bickelhaupt, Franziska Steudle, Heinz Peter Schlemmer, Annette Kopp-Schneider, Michael Bach, S. Teiner, F. B. Laun, Wolfgang Lederer, Stefan Delorme, Daniel Paech
Publikováno v:
Clinical radiology. 72(10)
Aim To investigate an abbreviated, contrast-agent free diffusion-weighted (DW) breast magnetic resonance imaging (MRI) protocol that provides a single image for the radiologist to read in order to non-invasively examine Breast Imaging-Reporting and D