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2020 – today
- 2021
[j10]Bryce A. Besler, Andrew S. Michalski
, Michael T. Kuczynski, Aleena Abid, Nils D. Forkert, Steven K. Boyd:
Bone and joint enhancement filtering: Application to proximal femur segmentation from uncalibrated computed tomography datasets. Medical Image Anal. 67: 101887 (2021)- 2020
- [j9]Anup Tuladhar, Serena Schimert, Deepthi Rajashekar, Helge C. Kniep, Jens Fiehler, Nils D. Forkert:
Automatic Segmentation of Stroke Lesions in Non-Contrast Computed Tomography Datasets With Convolutional Neural Networks. IEEE Access 8: 94871-94879 (2020) - [j8]Anup Tuladhar, Sascha Gill, Zahinoor Ismail, Nils D. Forkert, Alzheimer's Disease Neuroimaging Initiative:
Building machine learning models without sharing patient data: A simulation-based analysis of distributed learning by ensembling. J. Biomed. Informatics 106: 103424 (2020) - [j7]Jordan J. Bannister, Sebastian Crites, J. David Aponte, David C. Katz, Matthias Wilms, Ophir D. Klein, Francois P. J. Bernier, Richard A. Spritz, Benedikt Hallgrímsson, Nils D. Forkert:
Fully Automatic Landmarking of Syndromic 3D Facial Surface Scans Using 2D Images. Sensors 20(11): 3171 (2020) - [j6]Renzo Phellan, Thomas Lindner, Michael Helle, Alexandre X. Falcão, Clarissa L. Yasuda, Magdalena Sokolska, Hans Rolf Jäger, Nils Daniel Forkert:
Segmentation-Based Blood Flow Parameter Refinement in Cerebrovascular Structures Using 4-D Arterial Spin Labeling MRA. IEEE Trans. Biomed. Eng. 67(7): 1936-1946 (2020) - [c39]Hristina Uzunova, Paul Kaftan, Matthias Wilms, Nils D. Forkert, Heinz Handels, Jan Ehrhardt:
Quantitative Comparison of Generative Shape Models for Medical Images. Bildverarbeitung für die Medizin 2020: 201-207 - [c38]Matthias Wilms, Jordan J. Bannister, Pauline Mouches, M. Ethan MacDonald, Deepthi Rajashekar, Sönke Langner, Nils D. Forkert:
Bidirectional Modeling and Analysis of Brain Aging with Normalizing Flows. MLCN/RNO-AI@MICCAI 2020: 23-33 - [c37]Matthias Wilms, Jan Ehrhardt, Nils D. Forkert:
A Kernelized Multi-level Localization Method for Flexible Shape Modeling with Few Training Data. MICCAI (4) 2020: 765-775 - [i2]Matthias Wilms, Jordan J. Bannister, Pauline Mouches, M. Ethan MacDonald, Deepthi Rajashekar, Sönke Langner, Nils D. Forkert:
Bidirectional Modeling and Analysis of Brain Aging with Normalizing Flows. CoRR abs/2011.13484 (2020)
2010 – 2019
- 2019
- [j5]Renzo Phellan, Thomas Lindner, Michael Helle, Alexandre X. Falcão, Thomas W. Okell, Nils D. Forkert:
A methodology for generating four-dimensional arterial spin labeling MR angiography virtual phantoms. Medical Image Anal. 56: 184-192 (2019) - [j4]Jonathan Doucette, Luxi Wei, Enedino Hernández-Torres, Christian Kames, Nils D. Forkert, Rasmus Aamand, Torben Ellegaard Lund, Brian Hansen, Alexander Rauscher:
Rapid solution of the Bloch-Torrey equation in anisotropic tissue: Application to dynamic susceptibility contrast MRI of cerebral white matter. NeuroImage 185: 198-207 (2019) - [c36]Renzo Phellan, Thomas Lindner, Michael Helle, Alexandre X. Falcão, Nils D. Forkert:
The Effect of Labeling Duration and Temporal Resolution on Arterial Transit Time Estimation Accuracy in 4D ASL MRA Datasets - A Flow Phantom Study. MLMECH/CVII-STENT@MICCAI 2019: 141-148 - 2018
- [j3]Renzo Phellan, Thomas Lindner, Michael Helle, Alexandre X. Falcão, Nils Daniel Forkert:
Automatic Temporal Segmentation of Vessels of the Brain Using 4D ASL MRA Images. IEEE Trans. Biomed. Eng. 65(7): 1486-1494 (2018) - [c35]Renzo Phellan, Thomas Lindner, Michael Helle, Alexandre X. Falcão, Nils Daniel Forkert:
Robust cerebrovascular segmentation in 4D ASL MRA images. ISBI 2018: 1348-1351 - [c34]Bryce A. Besler, Leigh Gabel, Lauren A. Burt, Nils Daniel Forkert, Steven K. Boyd:
Bone Adaptation as Level Set Motion. MSKI@MICCAI 2018: 58-72 - [c33]Renzo Phellan, Thomas Lindner, Michael Helle, Thiago Vallin Spina, Alexandre X. Falcão, Nils Daniel Forkert:
Four-Dimensional ASL MR Angiography Phantoms with Noise Learned by Neural Styling. CVII-STENT/LABELS@MICCAI 2018: 131-139 - [i1]Giles Tetteh, Velizar Efremov, Nils D. Forkert, Matthias Schneider, Jan Kirschke, Bruno Weber, Claus Zimmer, Marie Piraud, Bjoern H. Menze:
DeepVesselNet: Vessel Segmentation, Centerline Prediction, and Bifurcation Detection in 3-D Angiographic Volumes. CoRR abs/1803.09340 (2018) - 2017
- [c32]René Werner, Daniel Schetelig, Thilo Sothmann, Eike Mücke, Matthias Wilms, Bastian Cheng, Nils Daniel Forkert:
Low Rank and Sparse Matrix Decomposition as Stroke Segmentation Prior: Useful or Not? A Random Forest-Based Evaluation Study. Bildverarbeitung für die Medizin 2017: 161-166 - [c31]Renzo Phellan, Thomas Lindner, Alexandre X. Falcão, Nils Daniel Forkert:
Vessel segmentation in 4D arterial spin labeling magnetic resonance angiography images of the brain. Medical Imaging: Computer-Aided Diagnosis 2017: 101341B - [c30]Sahand Talai, Kai Boelmans, Jan Sedlacik, Nils Daniel Forkert:
Automatic classification of patients with idiopathic Parkinson's disease and progressive supranuclear palsy using diffusion MRI datasets. Medical Imaging: Computer-Aided Diagnosis 2017: 101342H - [c29]Javier Villafruela, Sebastian Crites, Bastian Cheng, Christian Knaack, Götz Thomalla, Bijoy K. Menon, Nils Daniel Forkert:
Automatic classification of cardioembolic and arteriosclerotic ischemic strokes from apparent diffusion coefficient datasets using texture analysis and deep learning. Medical Imaging: Computer-Aided Diagnosis 2017: 101342K - [c28]Anthony J. Winder, Susanne Siemonsen, Fabian Flottmann, Jens Fiehler, Nils Daniel Forkert:
Comparison of classification methods for voxel-based prediction of acute ischemic stroke outcome following intra-arterial intervention. Medical Imaging: Computer-Aided Diagnosis 2017: 101344B - [c27]Renzo Phellan, Alan Peixinho, Alexandre X. Falcão, Nils Daniel Forkert:
Vascular Segmentation in TOF MRA Images of the Brain Using a Deep Convolutional Neural Network. CVII-STENT/LABELS@MICCAI 2017: 39-46 - [c26]Bryce A. Besler, Andrew S. Michalski, Nils Daniel Forkert, Steven K. Boyd:
Automatic Full Femur Segmentation from Computed Tomography Datasets Using an Atlas-Based Approach. MSKI@MICCAI 2017: 120-132 - 2016
- [c25]René Werner, Matthias Wilms, Bastian Cheng, Nils Daniel Forkert:
Beyond cost function masking: RPCA-based non-linear registration in the context of VLSM. PRNI 2016: 1-4 - 2015
- [j2]Nils Daniel Forkert:
Model-based analysis of cerebrovascular diseases combining 3D and 4D MRA datasets. it Inf. Technol. 57(3): 208-212 (2015) - [c24]Albrecht Kleinfeld, Oskar Maier, Nils Daniel Forkert, Heinz Handels:
Automatische Detektion von Okklusionen zerebraler Arterien in 3D-Magnetresonanzangiographiedaten. Bildverarbeitung für die Medizin 2015: 17-22 - [c23]Nils Daniel Forkert, Jens Fiehler:
Effect of sample size on multi-parametric prediction of tissue outcome in acute ischemic stroke using a random forest classifier. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2015: 94172H - 2013
- [b1]Nils Daniel Forkert:
Model-Based Analysis of Cerebrovascular Diseases Combining 3D and 4D MRA Datasets. University of Hamburg, 2013 - [j1]Nils Daniel Forkert, Till Illies, Einar Goebell, Jens Fiehler, Dennis Säring, Heinz Handels:
Computer-aided nidus segmentation and angiographic characterization of arteriovenous malformations. Int. J. Comput. Assist. Radiol. Surg. 8(5): 775-786 (2013) - [c22]Nils Daniel Forkert:
Modellbasierte Analyse zerebrovaskulärer Erkrankungen durch Kombination von 3D und 4D MRA Datensätzen. Ausgezeichnete Informatikdissertationen 2013: 31-40 - 2012
- [c21]Nils Daniel Forkert, Alexander Schmidt-Richberg, Alexander Münchau, Jens Fiehler, Heinz Handels, Kai Boelmans:
Automatische atlasbasierte Differenzierung von klassischen und atypischen Parkinsonsyndromen. Bildverarbeitung für die Medizin 2012: 225-230 - [c20]Santiago Suniaga, René Werner, Andre Kemmling, Michael Groth, Jens Fiehler, Nils Daniel Forkert:
Automatische Detektion von Aneurysmen in 3D Time-of-Flight Magnetresonanzangiographie Datensätzen. GI-Jahrestagung 2012: 1738-1744 - [c19]Santiago Suniaga, René Werner, Andre Kemmling, Michael Groth, Jens Fiehler, Nils Daniel Forkert:
Computer-Aided Detection of Aneurysms in 3D Time-of-Flight MRA Datasets. MLMI 2012: 63-69 - [c18]Nils Daniel Forkert, Santiago Suniaga, Jens Fiehler, Heike Wersching, Stefan Knecht, Andre Kemmling:
Generation of a Probabilistic Arterial Cerebrovascular Atlas Derived from 700 Time-of-Flight MRA Datasets. MIE 2012: 148-152 - 2011
- [c17]Nils Daniel Forkert, Alexander Schmidt-Richberg, Jan Ehrhardt, Jens Fiehler, Heinz Handels, Dennis Säring:
Vesselness-geführte Level-Set Segmentierung von zerebralen Gefäßen. Bildverarbeitung für die Medizin 2011: 8-12 - [c16]Tobias Verleger, Dennis Säring, Susanne Siemonsen, Jens Fiehler, Nils Daniel Forkert:
Segmentierung rekanalisierter Blutgefäße nach Lysetherapie unter Verwendung von Time-of-Flight MRA Datensätzen. GI-Jahrestagung 2011: 443 - [c15]Nils Daniel Forkert, Alexander Schmidt-Richberg, Brigitte Holst, Alexander Münchau, Heinz Handels, Kai Boelmans:
Image-based Classification of Parkinsonian Syndromes Using T2'-Atlases. MIE 2011: 465-469 - [c14]Nils Daniel Forkert, Dennis Säring, Till Illies, Jens Fiehler, Jan Ehrhardt, Heinz Handels, Alexander Schmidt-Richberg:
Direction-dependent level set segmentation of cerebrovascular structures. Medical Imaging: Image Processing 2011: 79623S - 2010
- [c13]Nils Daniel Forkert, Dennis Säring, Andrea Eisenbeis, Frank Leypoldt, Jens Fiehler, Heinz Handels:
Experimental Assessment of Infarct Lesion Growth in Mice using Time-Resolved T2* MR Image Sequences. Bildverarbeitung für die Medizin 2010: 330-334 - [c12]Nils Daniel Forkert, Alexander Schmidt-Richberg, Dennis Säring, Jens Fiehler, Till Illies, Dietmar P. F. Möller, Heinz Handels:
Graphen- und Level-Set-basierte Nachverarbeitung von 3D-Gefäßsegmentierungen. Bildverarbeitung für die Medizin 2010: 425-429 - [c11]Dennis Säring, Nils Daniel Forkert, Till Illies, Jens Fiehler, Heinz Handels:
Evaluation of Methods for Bolus Arrival Time Determination using a Four-dimensional MRA Flow Phantom. MedInfo 2010: 1263-1267 - [c10]Nils Daniel Forkert, Dennis Säring, Heinz Handels:
Automatic Analysis of the Anatomy of Arteriovenous Malformations using 3D and 4D MRA Image Sequences. MedInfo 2010: 1268-1272 - [c9]Nils Daniel Forkert, Alexander Schmidt-Richberg, Dennis Säring, Till Illies, Jens Fiehler, Heinz Handels:
Closing of interrupted vascular segmentations: an automatic approach based on shortest paths and level sets. Medical Imaging: Image Processing 2010: 76233G
2000 – 2009
- 2009
- [c8]Nils Daniel Forkert, Dennis Säring, Karolin Wenzel, Jens Fiehler, Till Illies, Dietmar P. F. Möller, Heinz Handels:
Automatische Segmentierung der zerebralen Gefäße aus 3D-TOF-MRA-Bildsequenzen mittels Fuzzy-Methoden. Bildverarbeitung für die Medizin 2009: 46-51 - [c7]Nils Daniel Forkert, Dennis Säring, Jens Fiehler, Till Illies, Heinz Handels:
AnToNIa: A Software Tool for the Hemodynamic Analysis of Cerebral Vascular Malformations Using 3D and 4D MRA Image Sequences. GI Jahrestagung 2009: 1249-1256 - [c6]Nils Daniel Forkert:
Analyse und dynamische 3D-Visualisierung des Blutflusses von zerebralen Gefäßstrukturen unter Verwendung von 3D- und 4D-Magnetresonanzangiographie-Bildfolgen. Informatiktage 2009: 223-226 - [c5]Nils Daniel Forkert, Dennis Säring, Karolin Wenzel, Till Illies, Jens Fiehler, Heinz Handels:
Fuzzy-Based Extraction of Vascular Structures from Time-of-Flight MR Images. MIE 2009: 816-820 - [c4]Nils Daniel Forkert, Dennis Säring, Jens Fiehler, Till Illies, Dietmar P. F. Möller, Heinz Handels:
Analysis and dynamic 3D visualization of cerebral blood flow combining 3D and 4D MR image sequences. Medical Imaging: Image-Guided Procedures 2009: 726133 - 2008
- [c3]Nils Daniel Forkert, Dennis Säring, Jens Fiehler, Till Illies, Heinz Handels:
Automatische Lokalisation und hämodynamische Charakterisierung von Gefäßstrukturen bei arteriovenösen Malformationen. Bildverarbeitung für die Medizin 2008: 107-111 - [c2]Nils Daniel Forkert, Dennis Säring, Jens Fiehler, Till Illies, Matthias Färber, Dietmar P. F. Möller, Heinz Handels:
Fully Automatic Skull-Stripping in 3D Time-of-Flight MRA Image Sequences. VCBM 2008: 159-165 - 2007
- [c1]Dennis Säring, Jens Fiehler, Nils Daniel Forkert, Milena Piening, Heinz Handels:
Visual Computing zur Analyse von zerebralen arteriovenösen Malformationen in 3D- und 4D-MR Bilddaten. Bildverarbeitung für die Medizin 2007: 262-266
Coauthor Index
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