Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Annika Hänsch"'
Autor:
Annika Hänsch, Grzegorz Chlebus, Hans Meine, Felix Thielke, Farina Kock, Tobias Paulus, Nasreddin Abolmaali, Andrea Schenk
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-10 (2022)
Abstract Automatic liver tumor segmentation can facilitate the planning of liver interventions. For diagnosis of hepatocellular carcinoma, dynamic contrast-enhanced MRI (DCE-MRI) can yield a higher sensitivity than contrast-enhanced CT. However, most
Externí odkaz:
https://doaj.org/article/280668d128364293ac741fadcf6c0676
Publikováno v:
Medical Imaging 2023: Image Processing.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cae8981ce376b6ea055607a0995ace3c
https://doi.org/10.1117/12.2654157
https://doi.org/10.1117/12.2654157
Autor:
Othman, Felix Peisen, Annika Hänsch, Alessa Hering, Andreas S. Brendlin, Saif Afat, Konstantin Nikolaou, Sergios Gatidis, Thomas Eigentler, Teresa Amaral, Jan H. Moltz, Ahmed E.
Publikováno v:
Cancers; Volume 14; Issue 12; Pages: 2992
Background: This study investigated whether a machine-learning-based combination of radiomics and clinical parameters was superior to the use of clinical parameters alone in predicting therapy response after three months, and overall survival after s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::05d6fc44c9af4c520756182f7ef2581f
Autor:
Felix, Peisen, Annika, Hänsch, Alessa, Hering, Andreas S, Brendlin, Saif, Afat, Konstantin, Nikolaou, Sergios, Gatidis, Thomas, Eigentler, Teresa, Amaral, Jan H, Moltz, Ahmed E, Othman
Publikováno v:
Cancers. 14(12)
This study investigated whether a machine-learning-based combination of radiomics and clinical parameters was superior to the use of clinical parameters alone in predicting therapy response after three months, and overall survival after six and twelv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::59653b736b118677a39cca3317725ec5
https://pubmed.ncbi.nlm.nih.gov/35740659
https://pubmed.ncbi.nlm.nih.gov/35740659
Autor:
Annika Hänsch, Jürgen W. Jenne, Neeraj Upadhyay, Carsten Schmeel, Veronika Purrer, Ullrich Wüllner, Jan Klein
Publikováno v:
Medical Imaging 2022: Image-Guided Procedures, Robotic Interventions, and Modeling.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::172369aff9375cba3640d89faaf793b1
https://doi.org/10.1117/12.2611710
https://doi.org/10.1117/12.2611710
Autor:
Felix Thielke, Farina Kock, Annika Hänsch, Joachim Georgii, Nasreddin Abolmaali, Itaru Endo, Hans Meine, Andrea Schenk
Publikováno v:
Medical Imaging 2022: Image Processing.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2ed91668de254bba552d73309a3f0673
https://doi.org/10.1117/12.2612526
https://doi.org/10.1117/12.2612526
Autor:
Benjamin Haas, Angelo Genghi, Annika Hänsch, Benjamin Geisler, Jan Schreier, Jan Klein, Jan Hendrik Moltz, Christiane Engel, Tomasz Morgas
Publikováno v:
Journal of Medical Imaging
Purpose: Hippocampus contouring for radiotherapy planning is performed on MR image data due to poor anatomical visibility on computed tomography (CT) data. Deep learning methods for direct CT hippocampus auto-segmentation exist, but use MR-based trai
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a594525c3c5fde792c48fbbb7706e35b
http://europepmc.org/articles/PMC7656855
http://europepmc.org/articles/PMC7656855
Autor:
Tomasz Morgas, Bianca Lassen-Schmidt, Jan Hendrik Moltz, Jan Schreier, Jan Klein, Angelo Genghi, Annika Hänsch, Benjamin Haas
Publikováno v:
ISBI
When training neural networks for segmentation, the Dice loss is typically used. Alternative loss functions could help the networks achieve results with higher user acceptance and lower correction effort, but they cannot be used directly if they are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9888ee3326267563e95fd23385c715ed
https://doi.org/10.1109/isbi45749.2020.9098557
https://doi.org/10.1109/isbi45749.2020.9098557
Autor:
Peter Kohlmann, Daniel Romberg, Florian Link, Julian Haase, Annika Hänsch, Alexander Köhn, Volker Dicken, Horst K. Hahn, Andreas Schreiber, Ruben Stein, Markus T. Wenzel, Rainer Kasan, Hans Meine, Jan Klein
Publikováno v:
Medical Imaging 2020: Imaging Informatics for Healthcare, Research, and Applications.
QuantMed is a platform consisting of software components enabling clinical deep learning, together forming the QuantMed infrastructure. It addresses numerous challenges: systematic generation and accumulation of training data; the validation and util
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e4bf6ddc4de038566fc4fb1e37d6858d
https://doi.org/10.1117/12.2549582
https://doi.org/10.1117/12.2549582
Autor:
Max Langer, Alexandra Pacureanu, Peter Cloetens, Françoise Peyrin, Simon Rit, Uwe Wolfram, Annika Hänsch, Loriane Weber
Publikováno v:
Journal of Microscopy. 269:36-47
X-ray phase tomography aims at reconstructing the 3D electron density distribution of an object. It offers enhanced sensitivity compared to attenuation-based X-ray absorption tomography. In propagation-based methods, phase contrast is achieved by let
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d8f6452ed6f225882cd8e9d54a262f54
https://doi.org/10.1111/jmi.12606
https://doi.org/10.1111/jmi.12606