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Jens Fiehler
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2020 – today
- 2025
- [j14]Kimberly Amador
, Noah Pinel
A cross-attention-based deep learning approach for predicting functional stroke outcomes using 4D CTP imaging and clinical metadata. Medical Image Anal. 99: 103381 (2025) - 2024
- [j13]Bin Lv, Mingguang Sun
AneuGuide™ software-assisted vs. manual measurements in sizing for pipeline embolization device: An agreement study. Comput. Biol. Medicine 168: 107715 (2024) - [j12]Alejandro Gutierrez
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
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
Changes in the Cerebello-Thalamo-Cortical Network After Magnetic Resonance-Guided Focused Ultrasound Thalamotomy. Brain Connect. 13(1): 28-38 (2023) - [j9]Alejandro Gutierrez
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
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
Brain network architecture constrains age-related cortical thinning. NeuroImage 264: 119721 (2022) - [c26]Kimberly Amador, Anthony J. Winder
Hybrid Spatio-Temporal Transformer Network for Predicting Ischemic Stroke Lesion Outcomes from 4D CT Perfusion Imaging. MICCAI (3) 2022: 644-654 - [d1]Anup Tuladhar
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
Stroke Lesion Outcome Prediction Based on 4D CT Perfusion Data Using Temporal Convolutional Networks. MIDL 2021: 22-33 - 2020
- [j6]Anup Tuladhar
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
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
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
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
Comparison of classification methods for voxel-based prediction of acute ischemic stroke outcome following intra-arterial intervention. 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. Biomedical Applications in Molecular, Structural, and Functional Imaging 2015: 94172H - 2014
- [j3]Jan Sedlacik, Kai Boelmans, Ulrike Löbel, Brigitte Holst, Susanne Siemonsen
Reversible, irreversible and effective transverse relaxation rates in normal aging brain at 3 T. NeuroImage 84: 1032-1041 (2014) - 2013
- [j2]Nils Daniel Forkert
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
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
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
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
Direction-dependent level set segmentation of cerebrovascular structures. 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. 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. 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
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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