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ORCIDJens Fiehler
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2020 – today
- 2024
[j13]Bin Lv, Mingguang Sun
, Yejie Shan, Xiangyu Cao, Zhihua Du, Xinfeng Liu, Rongju Zhang, Xiaochang Leng, Jens Fiehler, Adnan H. Siddiqui, Jianping Xiang, Jun Wang:
AneuGuide™ software-assisted vs. manual measurements in sizing for pipeline embolization device: An agreement study. Comput. Biol. Medicine 168: 107715 (2024)- [j12]Alejandro Gutierrez, Kimberly Amador, Anthony J. Winder, Matthias Wilms, Jens Fiehler, Nils D. Forkert:
Annotation-free prediction of treatment-specific tissue outcome from 4D CT perfusion imaging in acute ischemic stroke. Comput. Medical Imaging Graph. 114: 102376 (2024) - [j11]Kimberly Amador, Alejandro Gutierrez, Anthony J. Winder, Jens Fiehler, Matthias Wilms, Nils D. Forkert:
Providing clinical context to the spatio-temporal analysis of 4D CT perfusion to predict acute ischemic stroke lesion outcomes. J. Biomed. Informatics 149: 104567 (2024) - [c27]Kimberly Amador, Anthony J. Winder, Noah Pinel, Jens Fiehler, Matthias Wilms, Nils D. Forkert:
Unveiling the Temporal Patterns of a 4D CTP Stroke Lesion Outcome Prediction Model Through Attention Analysis. ISBI 2024: 1-5 - 2023
- [j10]Christian Thaler, Qiyuan Tian, Max Wintermark, Pejman Ghanouni, Casey H. Halpern, Jaimie M. Henderson, Raag D. Airan, Michael Zeineh, Maged Goubran, Christoph Leuze, Jens Fiehler, Kim Butts-Pauly, Jennifer A. McNab:
Changes in the Cerebello-Thalamo-Cortical Network After Magnetic Resonance-Guided Focused Ultrasound Thalamotomy. Brain Connect. 13(1): 28-38 (2023) - [j9]Alejandro Gutierrez, Anup Tuladhar, Matthias Wilms, Deepthi Rajashekar, Michael D. Hill, Andrew Demchuk, Mayank Goyal, Jens Fiehler, Nils D. Forkert:
Lesion-preserving unpaired image-to-image translation between MRI and CT from ischemic stroke patients. Int. J. Comput. Assist. Radiol. Surg. 18(5): 827-836 (2023) - 2022
- [j8]Kimberly Amador, Matthias Wilms, Anthony J. Winder, Jens Fiehler, Nils D. Forkert:
Predicting treatment-specific lesion outcomes in acute ischemic stroke from 4D CT perfusion imaging using spatio-temporal convolutional neural networks. Medical Image Anal. 82: 102610 (2022) - [j7]Marvin Petersen, Felix L. Nägele, Carola Mayer, Maximilian Schell, D. Leander Rimmele, Elina Petersen, Simone Kühn, Jürgen Gallinat, Uta Hanning, Jens Fiehler, Raphael Twerenbold, Christian Gerloff, Götz Thomalla, Bastian Cheng:
Brain network architecture constrains age-related cortical thinning. NeuroImage 264: 119721 (2022) - [c26]Kimberly Amador, Anthony J. Winder, Jens Fiehler, Matthias Wilms, Nils D. Forkert:
Hybrid Spatio-Temporal Transformer Network for Predicting Ischemic Stroke Lesion Outcomes from 4D CT Perfusion Imaging. MICCAI (3) 2022: 644-654 - [d1]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 DataPort, 2022
- 2021
- [c25]Maximilian Nielsen, Moritz Waldmann, Thilo Sentker, Andreas Frölich, Jens Fiehler, René Werner:
Abstract: Time Matters - Handling Spatio-temporal Perfusion Information for Automated Treatment in Cerebral Ischemia Scoring. Bildverarbeitung für die Medizin 2021: 297 - [c24]Kimberly Amador, Matthias Wilms, Anthony J. Winder, Jens Fiehler, Nils D. Forkert:
Stroke Lesion Outcome Prediction Based on 4D CT Perfusion Data Using Temporal Convolutional Networks. MIDL 2021: 22-33 - 2020
- [j6]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) - [c23]Maximilian Nielsen, Moritz Waldmann, Thilo Sentker, Andreas Frölich, Jens Fiehler, René Werner:
Time Matters: Handling Spatio-Temporal Perfusion Information for Automated TICI Scoring. MICCAI (6) 2020: 86-96
2010 – 2019
- 2019
- [c22]Maximilian Nielsen, Moritz Waldmann, Andreas Frölich, Jens Fiehler, René Werner:
Machbarkeitsstudie zur CNN-basierten Identifikation und TICI-Klassifizierung zerebraler ischämischer Infarkte in DSA-Daten. Bildverarbeitung für die Medizin 2019: 200-205 - 2018
- [j5]Jens K. Boldsen, Thorbjørn S. Engedal, Salvador Pedraza, Tae-Hee Cho, Götz Thomalla, Norbert Nighoghossian, Jean-Claude Baron, Jens Fiehler, Leif Østergaard, Kim Mouridsen:
Better Diffusion Segmentation in Acute Ischemic Stroke Through Automatic Tree Learning Anomaly Segmentation. Frontiers Neuroinformatics 12: 21 (2018) - [j4]Dushyant Kumar, Hari Hariharan, Tobias D. Faizy, Patrick Borchert, Susanne Siemonsen, Jens Fiehler, Ravinder Reddy, Jan Sedlacik:
Using 3D spatial correlations to improve the noise robustness of multi component analysis of 3D multi echo quantitative T2 relaxometry data. NeuroImage 178: 583-601 (2018) - 2017
- [c21]Daniel Schetelig, Jan Sedlacik, Felix Schmidt, Jens Fiehler, René Werner:
Defining Restrictions and Limits of Registration-Based Quantification of Geometric Deformation in Cerebral Blood Vessels. Bildverarbeitung für die Medizin 2017: 191-196 - [c20]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 - 2015
- [c19]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 - 2014
- [j3]Jan Sedlacik, Kai Boelmans, Ulrike Löbel, Brigitte Holst, Susanne Siemonsen, Jens Fiehler:
Reversible, irreversible and effective transverse relaxation rates in normal aging brain at 3 T. NeuroImage 84: 1032-1041 (2014) - 2013
- [j2]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) - 2012
- [c18]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 - [c17]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 - [c16]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 - [c15]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
- [c14]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 - [c13]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 - [c12]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
- [c11]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 - [c10]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 - [c9]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 - [c8]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
- [c7]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 - [c6]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 - [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 - 2002
- [j1]Joachim Röther, René Knab, Farsin Hamzei, Jens Fiehler, Jürgen R. Reichenbach, Christian Büchel, Cornelius Weiller:
Negative Dip in BOLD fMRI Is Caused by Blood Flow - Oxygen Consumption Uncoupling In Humans. NeuroImage 15(1): 98-102 (2002)
Coauthor Index
aka: Nils D. Forkert
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