Negative Dip in BOLD fMRI Is Caused by Blood Flow - Oxygen Consumption Uncoupling In Humans. - Joachim Röther; René Knab; Farsin Hamzei; Jens Fiehler; Jürgen R. Reichenbach; Christian Büchel; Cornelius Weiller (NeuroImage, 2002)

Visual Computing zur Analyse von zerebralen arteriovenösen Malformationen in 3D- und 4D-MR Bilddaten. - Dennis Säring; Jens Fiehler; Nils Daniel Forkert; Milena Piening; Heinz Handels (Bildverarbeitung für die Medizin, 2007)

Automatische Lokalisation und hämodynamische Charakterisierung von Gefäßstrukturen bei arteriovenösen Malformationen. - Nils Daniel Forkert; Dennis Säring; Jens Fiehler; Till Illies; Heinz Handels (Bildverarbeitung für die Medizin, 2008)

Fully Automatic Skull-Stripping in 3D Time-of-Flight MRA Image Sequences. - Nils Daniel Forkert; Dennis Säring; Jens Fiehler; Till Illies; Matthias Färber 002; Dietmar P. F. Möller; Heinz Handels (VCBM, 2008)

Automatische Segmentierung der zerebralen Gefäße aus 3D-TOF-MRA-Bildsequenzen mittels Fuzzy-Methoden. - Nils Daniel Forkert; Dennis Säring; Karolin Wenzel; Jens Fiehler; Till Illies; Dietmar P. F. Möller; Heinz Handels (Bildverarbeitung für die Medizin, 2009)

AnToNIa: A Software Tool for the Hemodynamic Analysis of Cerebral Vascular Malformations Using 3D and 4D MRA Image Sequences. - Nils Daniel Forkert; Dennis Säring; Jens Fiehler; Till Illies; Heinz Handels (GI Jahrestagung, 2009)

Fuzzy-Based Extraction of Vascular Structures from Time-of-Flight MR Images. - Nils Daniel Forkert; Dennis Säring; Karolin Wenzel; Till Illies; Jens Fiehler; Heinz Handels (MIE, 2009)

Analysis and dynamic 3D visualization of cerebral blood flow combining 3D and 4D MR image sequences. - Nils Daniel Forkert; Dennis Säring; Jens Fiehler; Till Illies; Dietmar P. F. Möller; Heinz Handels (Image-Guided Procedures, 2009)

Experimental Assessment of Infarct Lesion Growth in Mice using Time-Resolved T2* MR Image Sequences. - Nils Daniel Forkert; Dennis Säring; Andrea Eisenbeis; Frank Leypoldt; Jens Fiehler; Heinz Handels (Bildverarbeitung für die Medizin, 2010)

Graphen- und Level-Set-basierte Nachverarbeitung von 3D-Gefäßsegmentierungen. - Nils Daniel Forkert; Alexander Schmidt-Richberg; Dennis Säring; Jens Fiehler; Till Illies; Dietmar P. F. Möller; Heinz Handels (Bildverarbeitung für die Medizin, 2010)

Evaluation of Methods for Bolus Arrival Time Determination using a Four-dimensional MRA Flow Phantom. - Dennis Säring; Nils Daniel Forkert; Till Illies; Jens Fiehler; Heinz Handels (MedInfo, 2010)

Closing of interrupted vascular segmentations: an automatic approach based on shortest paths and level sets. - Nils Daniel Forkert; Alexander Schmidt-Richberg; Dennis Säring; Till Illies; Jens Fiehler; Heinz Handels (Image Processing, 2010)

Vesselness-geführte Level-Set Segmentierung von zerebralen Gefäßen. - Nils Daniel Forkert; Alexander Schmidt-Richberg; Jan Ehrhardt; Jens Fiehler; Heinz Handels; Dennis Säring (Bildverarbeitung für die Medizin, 2011)

Segmentierung rekanalisierter Blutgefäße nach Lysetherapie unter Verwendung von Time-of-Flight MRA Datensätzen. - Tobias Verleger; Dennis Säring; Susanne Siemonsen; Jens Fiehler; Nils Daniel Forkert (GI-Jahrestagung, 2011)

Direction-dependent level set segmentation of cerebrovascular structures. - Nils Daniel Forkert; Dennis Säring; Till Illies; Jens Fiehler; Jan Ehrhardt; Heinz Handels; Alexander Schmidt-Richberg (Image Processing, 2011)

Automatische atlasbasierte Differenzierung von klassischen und atypischen Parkinsonsyndromen. - Nils Daniel Forkert; Alexander Schmidt-Richberg; Alexander Münchau; Jens Fiehler; Heinz Handels; Kai Boelmans (Bildverarbeitung für die Medizin, 2012)

Automatische Detektion von Aneurysmen in 3D Time-of-Flight Magnetresonanzangiographie Datensätzen. - Santiago Suniaga; René Werner; Andre Kemmling; Michael Groth; Jens Fiehler; Nils Daniel Forkert (GI-Jahrestagung, 2012)

Computer-Aided Detection of Aneurysms in 3D Time-of-Flight MRA Datasets. - Santiago Suniaga; René Werner; Andre Kemmling; Michael Groth; Jens Fiehler; Nils Daniel Forkert (MLMI, 2012)

Generation of a Probabilistic Arterial Cerebrovascular Atlas Derived from 700 Time-of-Flight MRA Datasets. - Nils Daniel Forkert; Santiago Suniaga; Jens Fiehler; Heike Wersching; Stefan Knecht; Andre Kemmling (MIE, 2012)

Computer-aided nidus segmentation and angiographic characterization of arteriovenous malformations. - Nils Daniel Forkert; Till Illies; Einar Goebell; Jens Fiehler; Dennis Säring; Heinz Handels (Int. J. Comput. Assist. Radiol. Surg., 2013)

Reversible, irreversible and effective transverse relaxation rates in normal aging brain at 3 T. - Jan Sedlacik; Kai Boelmans; Ulrike Löbel; Brigitte Holst; Susanne Siemonsen; Jens Fiehler (NeuroImage, 2014)

Effect of sample size on multi-parametric prediction of tissue outcome in acute ischemic stroke using a random forest classifier. - Nils Daniel Forkert; Jens Fiehler (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2015)

Defining Restrictions and Limits of Registration-Based Quantification of Geometric Deformation in Cerebral Blood Vessels. - Daniel Schetelig; Jan Sedlacik; Felix Schmidt; Jens Fiehler; René Werner (Bildverarbeitung für die Medizin, 2017)

Comparison of classification methods for voxel-based prediction of acute ischemic stroke outcome following intra-arterial intervention. - Anthony J. Winder; Susanne Siemonsen; Fabian Flottmann; Jens Fiehler; Nils Daniel Forkert (Computer-Aided Diagnosis, 2017)

Better Diffusion Segmentation in Acute Ischemic Stroke Through Automatic Tree Learning Anomaly Segmentation. - Jens K. Boldsen; Thorbjørn S. Engedal; Salvador Pedraza; Tae-Hee Cho; Götz Thomalla; Norbert Nighoghossian; Jean-Claude Baron; Jens Fiehler; Leif Østergaard; Kim Mouridsen (Frontiers Neuroinformatics, 2018)

Using 3D spatial correlations to improve the noise robustness of multi component analysis of 3D multi echo quantitative T2 relaxometry data. - Dushyant Kumar; Hari Hariharan; Tobias D. Faizy; Patrick Borchert; Susanne Siemonsen; Jens Fiehler; Ravinder Reddy; Jan Sedlacik (NeuroImage, 2018)

Machbarkeitsstudie zur CNN-basierten Identifikation und TICI-Klassifizierung zerebraler ischämischer Infarkte in DSA-Daten. - Maximilian Nielsen; Moritz Waldmann; Andreas Frölich; Jens Fiehler; René Werner (Bildverarbeitung für die Medizin, 2019)

Time Matters: Handling Spatio-Temporal Perfusion Information for Automated TICI Scoring. - Maximilian Nielsen; Moritz Waldmann; Thilo Sentker; Andreas Frölich; Jens Fiehler; René Werner (MICCAI (6), 2020)

Automatic Segmentation of Stroke Lesions in Non-Contrast Computed Tomography Datasets With Convolutional Neural Networks. - Anup Tuladhar; Serena Schimert; Deepthi Rajashekar; Helge C. Kniep; Jens Fiehler; Nils D. Forkert (IEEE Access, 2020)

Abstract: Time Matters - Handling Spatio-temporal Perfusion Information for Automated Treatment in Cerebral Ischemia Scoring. - Maximilian Nielsen; Moritz Waldmann; Thilo Sentker; Andreas Frölich; Jens Fiehler; René Werner (Bildverarbeitung für die Medizin, 2021)

Stroke Lesion Outcome Prediction Based on 4D CT Perfusion Data Using Temporal Convolutional Networks. - Kimberly Amador; Matthias Wilms; Anthony J. Winder; Jens Fiehler; Nils D. Forkert (MIDL, 2021)

Hybrid Spatio-Temporal Transformer Network for Predicting Ischemic Stroke Lesion Outcomes from 4D CT Perfusion Imaging. - Kimberly Amador; Anthony J. Winder; Jens Fiehler; Matthias Wilms; Nils D. Forkert (MICCAI (3), 2022)

Predicting treatment-specific lesion outcomes in acute ischemic stroke from 4D CT perfusion imaging using spatio-temporal convolutional neural networks. - Kimberly Amador; Matthias Wilms; Anthony J. Winder; Jens Fiehler; Nils D. Forkert (Medical Image Anal., 2022)

Brain network architecture constrains age-related cortical thinning. - 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; et al. (NeuroImage, 2022)

Automatic Segmentation of Stroke Lesions in Non-contrast Computed Tomography Datasets with Convolutional Neural Networks. - Anup Tuladhar; Serena Schimert; Deepthi Rajashekar; Helge C. Kniep; Jens Fiehler; Nils D. Forkert (IEEE DataPort, 2022)

Changes in the Cerebello-Thalamo-Cortical Network After Magnetic Resonance-Guided Focused Ultrasound Thalamotomy. - 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; et al. (Brain Connect., 2023)

Lesion-preserving unpaired image-to-image translation between MRI and CT from ischemic stroke patients. - Alejandro Gutierrez; Anup Tuladhar; Matthias Wilms; Deepthi Rajashekar; Michael D. Hill; Andrew Demchuk; Mayank Goyal; Jens Fiehler; Nils D. Forkert (Int. J. Comput. Assist. Radiol. Surg., 2023)

Unveiling the Temporal Patterns of a 4D CTP Stroke Lesion Outcome Prediction Model Through Attention Analysis. - Kimberly Amador; Anthony J. Winder; Noah Pinel; Jens Fiehler; Matthias Wilms; Nils D. Forkert (ISBI, 2024)

Annotation-free prediction of treatment-specific tissue outcome from 4D CT perfusion imaging in acute ischemic stroke. - Alejandro Gutierrez; Kimberly Amador; Anthony J. Winder; Matthias Wilms; Jens Fiehler; Nils D. Forkert (Comput. Medical Imaging Graph., 2024)

AneuGuide™ software-assisted vs. manual measurements in sizing for pipeline embolization device: An agreement study. - 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 (Comput. Biol. Medicine, 2024)

Providing clinical context to the spatio-temporal analysis of 4D CT perfusion to predict acute ischemic stroke lesion outcomes. - Kimberly Amador; Alejandro Gutierrez; Anthony J. Winder; Jens Fiehler; Matthias Wilms; Nils D. Forkert (J. Biomed. Informatics, 2024)

A cross-attention-based deep learning approach for predicting functional stroke outcomes using 4D CTP imaging and clinical metadata. - Kimberly Amador; Noah Pinel; Anthony J. Winder; Jens Fiehler; Matthias Wilms; Nils D. Forkert (Medical Image Anal., 2025)