Jens Fiehler
Orcid: 0000-0001-8533-7478
According to our database1,
Jens Fiehler
authored at least 42 papers
between 2002 and 2025.
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Bibliography
2025
A cross-attention-based deep learning approach for predicting functional stroke outcomes using 4D CTP imaging and clinical metadata.
Medical Image Anal., 2025
2024
Providing clinical context to the spatio-temporal analysis of 4D CT perfusion to predict acute ischemic stroke lesion outcomes.
J. Biomed. Informatics, January, 2024
AneuGuide™ software-assisted vs. manual measurements in sizing for pipeline embolization device: An agreement study.
Comput. Biol. Medicine, January, 2024
Annotation-free prediction of treatment-specific tissue outcome from 4D CT perfusion imaging in acute ischemic stroke.
Comput. Medical Imaging Graph., 2024
Unveiling the Temporal Patterns of a 4D CTP Stroke Lesion Outcome Prediction Model Through Attention Analysis.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
2023
Lesion-preserving unpaired image-to-image translation between MRI and CT from ischemic stroke patients.
Int. J. Comput. Assist. Radiol. Surg., May, 2023
Changes in the Cerebello-Thalamo-Cortical Network After Magnetic Resonance-Guided Focused Ultrasound Thalamotomy.
Brain Connect., February, 2023
2022
Automatic Segmentation of Stroke Lesions in Non-contrast Computed Tomography Datasets with Convolutional Neural Networks.
Dataset, May, 2022
NeuroImage, 2022
Predicting treatment-specific lesion outcomes in acute ischemic stroke from 4D CT perfusion imaging using spatio-temporal convolutional neural networks.
Medical Image Anal., 2022
Hybrid Spatio-Temporal Transformer Network for Predicting Ischemic Stroke Lesion Outcomes from 4D CT Perfusion Imaging.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
2021
Stroke Lesion Outcome Prediction Based on 4D CT Perfusion Data Using Temporal Convolutional Networks.
Proceedings of the Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany., 2021
Abstract: Time Matters - Handling Spatio-temporal Perfusion Information for Automated Treatment in Cerebral Ischemia Scoring.
Proceedings of the Bildverarbeitung für die Medizin 2021, 2021
2020
Automatic Segmentation of Stroke Lesions in Non-Contrast Computed Tomography Datasets With Convolutional Neural Networks.
IEEE Access, 2020
Time Matters: Handling Spatio-Temporal Perfusion Information for Automated TICI Scoring.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
2019
Machbarkeitsstudie zur CNN-basierten Identifikation und TICI-Klassifizierung zerebraler ischämischer Infarkte in DSA-Daten.
Proceedings of the Bildverarbeitung für die Medizin 2019 - Algorithmen - Systeme, 2019
2018
Using 3D spatial correlations to improve the noise robustness of multi component analysis of 3D multi echo quantitative T2 relaxometry data.
NeuroImage, 2018
Better Diffusion Segmentation in Acute Ischemic Stroke Through Automatic Tree Learning Anomaly Segmentation.
Frontiers Neuroinformatics, 2018
2017
Comparison of classification methods for voxel-based prediction of acute ischemic stroke outcome following intra-arterial intervention.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017
Defining Restrictions and Limits of Registration-Based Quantification of Geometric Deformation in Cerebral Blood Vessels.
Proceedings of the Bildverarbeitung für die Medizin 2017 - Algorithmen - Systeme, 2017
2015
Effect of sample size on multi-parametric prediction of tissue outcome in acute ischemic stroke using a random forest classifier.
Proceedings of the Medical Imaging 2015: Biomedical Applications in Molecular, 2015
2014
Reversible, irreversible and effective transverse relaxation rates in normal aging brain at 3 T.
NeuroImage, 2014
2013
Computer-aided nidus segmentation and angiographic characterization of arteriovenous malformations.
Int. J. Comput. Assist. Radiol. Surg., 2013
2012
Generation of a Probabilistic Arterial Cerebrovascular Atlas Derived from 700 Time-of-Flight MRA Datasets.
Proceedings of the Quality of Life through Quality of Information, 2012
Proceedings of the Machine Learning in Medical Imaging - Third International Workshop, 2012
Automatische Detektion von Aneurysmen in 3D Time-of-Flight Magnetresonanzangiographie Datensätzen.
Proceedings of the 57. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie, 42. Jahrestagung der Gesellschaft für Informatik, Was bewegt uns in der/die Zukunft?, 2012
Automatische atlasbasierte Differenzierung von klassischen und atypischen Parkinsonsyndromen.
Proceedings of the Bildverarbeitung für die Medizin 2012 - Algorithmen - Systeme, 2012
2011
Proceedings of the Medical Imaging 2011: Image Processing, 2011
Segmentierung rekanalisierter Blutgefäße nach Lysetherapie unter Verwendung von Time-of-Flight MRA Datensätzen.
Proceedings of the 41. Jahrestagung der Gesellschaft für Informatik, 2011
Proceedings of the Bildverarbeitung für die Medizin 2011: Algorithmen - Systeme, 2011
2010
Closing of interrupted vascular segmentations: an automatic approach based on shortest paths and level sets.
Proceedings of the Medical Imaging 2010: Image Processing, 2010
Evaluation of Methods for Bolus Arrival Time Determination using a Four-dimensional MRA Flow Phantom.
Proceedings of the MEDINFO 2010, 2010
Proceedings of the Bildverarbeitung für die Medizin 2010 - Algorithmen - Systeme, 2010
Experimental Assessment of Infarct Lesion Growth in Mice using Time-Resolved T2* MR Image Sequences.
Proceedings of the Bildverarbeitung für die Medizin 2010 - Algorithmen - Systeme, 2010
2009
Analysis and dynamic 3D visualization of cerebral blood flow combining 3D and 4D MR image sequences.
Proceedings of the Medical Imaging 2009: Visualization, 2009
Proceedings of the Medical Informatics in a United and Healthy Europe - Proceedings of MIE 2009, The XXIInd International Congress of the European Federation for Medical Informatics, Sarajevo, Bosnia and Herzegovina, August 30, 2009
AnToNIa: A Software Tool for the Hemodynamic Analysis of Cerebral Vascular Malformations Using 3D and 4D MRA Image Sequences.
Proceedings of the 39. Jahrestagung der Gesellschaft für Informatik, Im Focus das Leben, INFORMATIK 2009, Lübeck, Germany, September 28, 2009
Automatische Segmentierung der zerebralen Gefäße aus 3D-TOF-MRA-Bildsequenzen mittels Fuzzy-Methoden.
Proceedings of the Bildverarbeitung für die Medizin 2009: Algorithmen - Systeme, 2009
2008
Proceedings of the Eurographics Workshop on Visual Computing for Biomedicine, 2008
Automatische Lokalisation und hämodynamische Charakterisierung von Gefäßstrukturen bei arteriovenösen Malformationen.
Proceedings of the Bildverarbeitung für die Medizin 2008, 2008
2007
Visual Computing zur Analyse von zerebralen arteriovenösen Malformationen in 3D- und 4D-MR Bilddaten.
Proceedings of the Bildverarbeitung für die Medizin 2007, 2007
2002
Negative Dip in BOLD fMRI Is Caused by Blood Flow - Oxygen Consumption Uncoupling In Humans.
NeuroImage, 2002