default search action
Hannes Nickisch
- > Home > Persons > Hannes Nickisch
Publications
- 2021
- [c29]Zohaib Salahuddin, Matthias Lenga, Hannes Nickisch:
Multi-Resolution 3D Convolutional Neural Networks for Automatic Coronary Centerline Extraction in Cardiac CT Angiography Scans. ISBI 2021: 91-95 - [c28]Nikolas Schnellbächer, Haissam Ragab, Hannes Nickisch, Tobias Wissel, Clemens Spink, Gunnar Lund, Michael Grass:
Machine-learning-based clinical plaque detection using a synthetic plaque lesion model for coronary CTA. Medical Imaging: Computer-Aided Diagnosis 2021 - [c27]Tobias Wissel, Katharina A. Riedl, Klaus Schaefers, Hannes Nickisch, Fabian J. Brunner, Nikolas Schnellbächer, Stefan Blankenberg, Moritz Seiffert, Michael Grass:
Delineation of coronary stents in intravascular ultrasound pullbacks. Medical Imaging: Image-Guided Procedures 2021 - 2020
- [j11]Tanja Lossau, Hannes Nickisch, Tobias Wissel, Michael M. Morlock, Michael Grass:
Learning metal artifact reduction in cardiac CT images with moving pacemakers. Medical Image Anal. 61: 101655 (2020) - [i14]Ivo M. Baltruschat, Leonhard Steinmeister, Hannes Nickisch, Axel Saalbach, Michael Grass, Gerhard Adam, Harald Ittrich, Tobias Knopp:
Intelligent Chest X-ray Worklist Prioritization by CNNs: A Clinical Workflow Simulation. CoRR abs/2001.08625 (2020) - [i13]Zohaib Salahuddin, Matthias Lenga, Hannes Nickisch:
Multi-Resolution 3D Convolutional Neural Networks for Automatic Coronary Centerline Extraction in Cardiac CT Angiography Scans. CoRR abs/2010.00925 (2020) - 2019
- [j10]Tanja Lossau, Hannes Nickisch, Tobias Wissel, Rolf-Dieter Bippus, Holger Schmitt, Michael M. Morlock, Michael Grass:
Motion estimation and correction in cardiac CT angiography images using convolutional neural networks. Comput. Medical Imaging Graph. 76 (2019) - [j8]Tanja Lossau, Hannes Nickisch, Tobias Wissel, Rolf Bippus, Holger Schmitt, Michael M. Morlock, Michael Grass:
Motion artifact recognition and quantification in coronary CT angiography using convolutional neural networks. Medical Image Anal. 52: 68-79 (2019) - [c26]Ivo M. Baltruschat, Leonhard Steinmeister, Harald Ittrich, Gerhard Adam, Hannes Nickisch, Axel Saalbach, Jens von Berg, Michael Grass, Tobias Knopp:
Abstract: Does Bone Suppression and Lung Detection Improve Chest Disease Classification? Bildverarbeitung für die Medizin 2019: 184 - [c25]Ivo M. Baltruschat, Leonhard Steinmeister, Harald Ittrich, Gerhard Adam, Hannes Nickisch, Axel Saalbach, Jens von Berg, Michael Grass, Tobias Knopp:
When Does Bone Suppression And Lung Field Segmentation Improve Chest X-Ray Disease Classification? ISBI 2019: 1362-1366 - [c24]Maximilian Blendowski, Hannes Nickisch, Mattias P. Heinrich:
How to Learn from Unlabeled Volume Data: Self-supervised 3D Context Feature Learning. MICCAI (6) 2019: 649-657 - [c23]Tanja Lossau, Hannes Nickisch, Tobias Wissel, Samer Hakmi, Clemens Spink, Michael M. Morlock, Michael Grass:
Dynamic Pacemaker Artifact Removal (DyPAR) from CT Data using CNNs. MIDL 2019: 347-357 - [i12]Moti Freiman, Hannes Nickisch, Sven Prevrhal, Holger Schmitt, Mani Vembar, Pál Maurovich-Horvat, Patrick Donnelly, Liran Goshen:
Improving CCTA based lesions' hemodynamic significance assessment by accounting for partial volume modeling in automatic coronary lumen segmentation. CoRR abs/1906.09763 (2019) - [i11]Moti Freiman, Hannes Nickisch, Holger Schmitt, Pál Maurovich-Horvat, Patrick Donnelly, Mani Vembar, Liran Goshen:
Learning a sparse database for patch-based medical image segmentation. CoRR abs/1906.10338 (2019) - 2018
- [c21]Evelin Hristova, Heinrich Schulz, Tom Brosch, Mattias P. Heinrich, Hannes Nickisch:
Nearest neighbor 3D segmentation with context features. Medical Imaging: Image Processing 2018: 105740M - [c20]Ivo M. Baltruschat, Axel Saalbach, Mattias P. Heinrich, Hannes Nickisch, Sascha Jockel:
Orientation regression in hand radiographs: a transfer learning approach. Medical Imaging: Image Processing 2018: 105741W - [c19]Tanja Elss, Hannes Nickisch, Tobias Wissel, Holger Schmitt, Mani Vembar, Michael M. Morlock, Michael Grass:
Deep-learning-based CT motion artifact recognition in coronary arteries. Medical Imaging: Image Processing 2018: 1057416 - [i10]Ivo M. Baltruschat, Hannes Nickisch, Michael Grass, Tobias Knopp, Axel Saalbach:
Comparison of Deep Learning Approaches for Multi-Label Chest X-Ray Classification. CoRR abs/1803.02315 (2018) - [i9]Ivo M. Baltruschat, Leonhard Steinmeister, Harald Ittrich, Gerhard Adam, Hannes Nickisch, Axel Saalbach, Jens von Berg, Michael Grass, Tobias Knopp:
When does Bone Suppression and Lung Field Segmentation Improve Chest X-Ray Disease Classification? CoRR abs/1810.07500 (2018) - 2017
- [c18]Moti Freiman, Hannes Nickisch, Holger Schmitt, Pál Maurovich-Horvat, Patrick Donnelly, Mani Vembar, Liran Goshen:
Learning a Sparse Database for Patch-Based Medical Image Segmentation. Patch-MI@MICCAI 2017: 47-54 - 2016
- [c15]Thomas Blaffert, Cristian Lorenz, Hannes Nickisch, Jochen Peters, Jürgen Weese:
SVM-based failure detection of GHT localizations. Medical Imaging: Image Processing 2016: 97841J - [c14]Moti Freiman, Yechiel Lamash, Guy Gilboa, Hannes Nickisch, Sven Prevrhal, Holger Schmitt, Mani Vembar, Liran Goshen:
Automatic coronary lumen segmentation with partial volume modeling improves lesions' hemodynamic significance assessment. Medical Imaging: Image Processing 2016: 978403 - 2015
- [c11]Hannes Nickisch, Yechiel Lamash, Sven Prevrhal, Moti Freiman, Mani Vembar, Liran Goshen, Holger Schmitt:
Learning Patient-Specific Lumped Models for Interactive Coronary Blood Flow Simulations. MICCAI (2) 2015: 433-441 - [i4]Vlado Menkovski, Zharko Aleksovski, Axel Saalbach, Hannes Nickisch:
Can Pretrained Neural Networks Detect Anatomy? CoRR abs/1512.05986 (2015) - 2013
- [j6]Jürgen Weese, Alexandra Groth, Hannes Nickisch, Hans Barschdorf, Frank M. Weber, Jérôme Velut, Miguel Castro, Christine Toumoulin, Jean-Louis Coatrieux, Mathieu De Craene, Gemma Piella, Catalina Tobon-Gomez, Alejandro F. Frangi, David C. Barber, Izra Valverde, Yubing Shi, Cristina Staicu, A. Brown, Philipp Beerbaum, D. Rodney Hose:
Generating anatomical models of the heart and the aorta from medical images for personalized physiological simulations. Medical Biol. Eng. Comput. 51(11): 1209-1219 (2013) - 2012
- [j3]Wendelin Böhmer, Steffen Grünewälder, Hannes Nickisch, Klaus Obermayer:
Generating feature spaces for linear algorithms with regularized sparse kernel slow feature analysis. Mach. Learn. 89(1-2): 67-86 (2012) - [c10]Hannes Nickisch, Hans Barschdorf, Frank M. Weber, Martin W. Krueger, Olaf Dössel, Jürgen Weese:
From Image to Personalized Cardiac Simulation: Encoding Anatomical Structures into a Model-Based Segmentation Framework. STACOM 2012: 278-287 - 2011
- [c8]Wendelin Böhmer, Steffen Grünewälder, Hannes Nickisch, Klaus Obermayer:
Regularized Sparse Kernel Slow Feature Analysis. ECML/PKDD (1) 2011: 235-248
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from , , and to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-09-13 01:38 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint