Nils Daniel Forkert

发表

Automatic classification of cardioembolic and arteriosclerotic ischemic strokes from apparent diffusion coefficient datasets using texture analysis and deep learning

Javier Villafruela, Sebastian Crites, Bastian Cheng, 2017, Medical Imaging.

Evaluation of Methods for Bolus Arrival Time Determination using a Four-dimensional MRA Flow Phantom

Nils Daniel Forkert, Heinz Handels, Jens Fiehler, 2010, MedInfo.

Is there more valuable information in PWI datasets for a voxel-wise acute ischemic stroke tissue outcome prediction than what is represented by typical perfusion maps?

Nils Daniel Forkert, André Kemmling, Jens Fiehler, 2014, Medical Imaging.

Automatische Detektion von Aneurysmen in 3D Time-of-Flight Magnetresonanzangiographie Datensätzen

Nils Daniel Forkert, René Werner, André Kemmling, 2012, GI-Jahrestagung.

Correction: Improved multi-parametric prediction of tissue outcome in acute ischemic stroke patients using spatial features

Nils Daniel Forkert, Jens Fiehler, Jan Sedlacik, 2020, PloS one.

Beyond cost function masking: RPCA-based non-linear registration in the context of VLSM

Bastian Cheng, Nils Daniel Forkert, René Werner, 2016, 2016 International Workshop on Pattern Recognition in Neuroimaging (PRNI).

Automatische Segmentierung der zerebralen Gefäße aus 3D-TOF-MRA-Bildsequenzen mittels Fuzzy-Methoden

Dietmar P. F. Möller, Nils Daniel Forkert, Heinz Handels, 2009, Bildverarbeitung für die Medizin.

Classifiers for Ischemic Stroke Lesion Segmentation: A Comparison Study

Nils Daniel Forkert, Heinz Handels, Oskar Maier, 2015, PloS one.

Automatische Detektion von Okklusionen zerebraler Arterien in 3D-Magnetresonanzangiographiedaten

Nils Daniel Forkert, Heinz Handels, Oskar Maier, 2015, Bildverarbeitung für die Medizin.

Computer-Aided Detection of Aneurysms in 3D Time-of-Flight MRA Datasets

Nils Daniel Forkert, René Werner, André Kemmling, 2012, MLMI.

Aligning 3D time-of-flight MRA datasets for quantitative longitudinal studies: evaluation of rigid registration techniques.

Nils Daniel Forkert, Jens Fiehler, Dennis Säring, 2014, Magnetic resonance imaging.

Graphen- und Level-Set-basierte Nachverarbeitung von 3D-Gefäßsegmentierungen

Dietmar P. F. Möller, Nils Daniel Forkert, Heinz Handels, 2010, Bildverarbeitung für die Medizin.

Image-based Classification of Parkinsonian Syndromes Using T2'-Atlases

Alexander Münchau, Nils Daniel Forkert, Heinz Handels, 2011, MIE.

Automatic segmentation of stroke lesions in non-contrast computed tomography with convolutional neural networks

Nils Daniel Forkert, Helge Kniep, Jens Fiehler, 2020 .

Automatische Lokalisation und hämodynamische Charakterisierung von Gefäßstrukturen bei arteriovenösen Malformationen

Nils Daniel Forkert, Heinz Handels, Jens Fiehler, 2008, Bildverarbeitung für die Medizin.

Vesselness-geführte Level-Set Segmentierung von zerebralen Gefäßen

Nils Daniel Forkert, Heinz Handels, Alexander Schmidt-Richberg, 2011, Bildverarbeitung für die Medizin.

Fully Automatic Skull-Stripping in 3D Time-of-Flight MRA Image Sequences

Dietmar P. F. Möller, Nils Daniel Forkert, Heinz Handels, 2008, VCBM.

Analyse und dynamische 3D-Visualisierung des Blutflusses von zerebralen Gefäßstrukturen unter Verwendung von 3D- und 4D-Magnetresonanzangiographie-Bildfolgen

Nils Daniel Forkert, 2009, Informatiktage.

AnToNIa: A Software Tool for the Hemodynamic Analysis of Cerebral Vascular Malformations Using 3D and 4D MRA Image Sequences

Nils Daniel Forkert, Heinz Handels, Jens Fiehler, 2009, GI Jahrestagung.

Vascular Segmentation in TOF MRA Images of the Brain Using a Deep Convolutional Neural Network

Nils Daniel Forkert, Alexandre X. Falcão, Renzo Phellan, 2017, CVII-STENT/LABELS@MICCAI.

Automatic classification of patients with idiopathic Parkinson's disease and progressive supranuclear palsy using diffusion MRI datasets

Nils Daniel Forkert, Jan Sedlacik, Kai Boelmans, 2017, Medical Imaging.

Direction-dependent level set segmentation of cerebrovascular structures

Nils Daniel Forkert, Heinz Handels, Alexander Schmidt-Richberg, 2011, Medical Imaging.

Segmentation-Based Blood Flow Parameter Refinement in Cerebrovascular Structures Using 4-D Arterial Spin Labeling MRA

Nils Daniel Forkert, Alexandre X. Falcão, Michael Helle, 2020, IEEE Transactions on Biomedical Engineering.

Automatic Temporal Segmentation of Vessels of the Brain Using 4D ASL MRA Images

Nils Daniel Forkert, Alexandre X. Falcão, Thomas Lindner, 2018, IEEE Transactions on Biomedical Engineering.

Automatic Analysis of the Anatomy of Arteriovenous Malformations using 3D and 4D MRA Image Sequences

Nils Daniel Forkert, Heinz Handels, Dennis Säring, 2010, MedInfo.

Fuzzy-Based Extraction of Vascular Structures from Time-of-Flight MR Images

Nils Daniel Forkert, Heinz Handels, Jens Fiehler, 2009, MIE.

Robust cerebrovascular segmentation in 4D ASL MRA images

Nils Daniel Forkert, Alexandre X. Falcão, Thomas Lindner, 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

Modellbasierte Analyse zerebrovaskulärer Erkrankungen durch Kombination von 3D und 4D MRA Datensätzen

Nils Daniel Forkert, 2013, Ausgezeichnete Informatikdissertationen.

Rapid solution of the Bloch-Torrey equation in anisotropic tissue: Application to dynamic susceptibility contrast MRI of cerebral white matter

Nils Daniel Forkert, Brian Hansen, Christian Kames, 2019, NeuroImage.

Automatic Full Femur Segmentation from Computed Tomography Datasets Using an Atlas-Based Approach

Nils Daniel Forkert, Steven K. Boyd, Bryce A. Besler, 2017, MSKI@MICCAI.

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, 2015, Medical Imaging.

Model-based analysis of cerebrovascular diseases combining 3D and 4D MRA datasets

Nils Daniel Forkert, N. Forkert, 2015, it Inf. Technol..

Analysis and dynamic 3D visualization of cerebral blood flow combining 3D and 4D MR image sequences

Dietmar P. F. Möller, Nils Daniel Forkert, Heinz Handels, 2009, Medical Imaging.

Automatische atlasbasierte Differenzierung von klassischen und atypischen Parkinsonsyndromen

Alexander Münchau, Nils Daniel Forkert, Heinz Handels, 2012, Bildverarbeitung für die Medizin.

Automatic brain segmentation in Time-of-Flight MRA images.

Nils Daniel Forkert, H Handels, J Fiehler, 2009, Methods of information in medicine.

Experimental Assessment of Infarct Lesion Growth in Mice using Time-Resolved T2* MR Image Sequences

Nils Daniel Forkert, Heinz Handels, Jens Fiehler, 2010, Bildverarbeitung für die Medizin.

Comparison of classification methods for voxel-based prediction of acute ischemic stroke outcome following intra-arterial intervention

Nils Daniel Forkert, Jens Fiehler, Susanne Siemonsen, 2017, Medical Imaging.

Comparison of TTP and Tmax estimation techniques in perfusion-weighted MR datasets for tissue-at-risk definition

Götz Thomalla, Nils Daniel Forkert, Jens Fiehler, 2012, Medical Imaging.

Generation of a Probabilistic Arterial Cerebrovascular Atlas Derived from 700 Time-of-Flight MRA Datasets

Nils Daniel Forkert, Stefan Knecht, André Kemmling, 2012, MIE.

Reference‐based linear curve fitting for bolus arrival time estimation in 4D MRA and MR perfusion‐weighted image sequences

Nils Daniel Forkert, Heinz Handels, Jens Fiehler, 2011, Magnetic resonance in medicine.

Segmentierung rekanalisierter Blutgefäße nach Lysetherapie unter Verwendung von Time-of-Flight MRA Datensätzen

Nils Daniel Forkert, Jens Fiehler, Dennis Säring, 2011, GI-Jahrestagung.

Low Rank and Sparse Matrix Decomposition as Stroke Segmentation Prior: Useful or Not? A Random Forest-Based Evaluation Study

Bastian Cheng, Nils Daniel Forkert, René Werner, 2017, Bildverarbeitung für die Medizin.

Closing of interrupted vascular segmentations: an automatic approach based on shortest paths and level sets

Nils Daniel Forkert, Heinz Handels, Alexander Schmidt-Richberg, 2010, Medical Imaging.

Computer-aided nidus segmentation and angiographic characterization of arteriovenous malformations

Nils Daniel Forkert, Heinz Handels, Jens Fiehler, 2013, International Journal of Computer Assisted Radiology and Surgery.

Vessel segmentation in 4D arterial spin labeling magnetic resonance angiography images of the brain

Nils Daniel Forkert, Alexandre X. Falcão, Thomas Lindner, 2017, Medical Imaging.

Visual Computing zur Analyse von zerebralen arteriovenösen Malformationen in 3D- und 4D-MR Bilddaten

Nils Daniel Forkert, Heinz Handels, Jens Fiehler, 2007, Bildverarbeitung für die Medizin.

Multiparametric prediction of acute ischemic stroke tissue outcome using CT perfusion datasets

Nils Daniel Forkert, André Kemmling, Jens Fiehler, 2013, Medical Imaging.

Bone Adaptation as Level Set Motion

Nils Daniel Forkert, Steven K. Boyd, Bryce A. Besler, 2018, MSKI@MICCAI.

Multivariate Dynamic Prediction of Ischemic Infarction and Tissue Salvage as a Function of Time and Degree of Recanalization

Nils Daniel Forkert, Walter Heindel, Bernd Eckert, 2015, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

3D cerebrovascular segmentation combining fuzzy vessel enhancement and level-sets with anisotropic energy weights.

Nils Daniel Forkert, Heinz Handels, Alexander Schmidt-Richberg, 2013, Magnetic resonance imaging.

Quantification of recurrence volumes after endovascular treatment of cerebral aneurysm as surrogate endpoint for treatment stability

Nils Daniel Forkert, Jens Fiehler, Dennis Säring, 2010, Neuroradiology.

Abstract TP45: One Threshold Does not Fit All: Hounsfield Unit Thresholds to Segment Clot on NCCT are Patient Specific

Bijoy K. Menon, Nils Daniel Forkert, Michael D. Hill, 2016 .

Increased Perfusion in Normal Appearing White Matter in High Inflammatory Multiple Sclerosis Patients

Nils Daniel Forkert, Jens Fiehler, Susanne Siemonsen, 2015, PloS one.

Spatial Distribution of Perfusion Abnormality in Acute MCA Occlusion is Associated with Likelihood of Later Recanalization

Götz Thomalla, Nils Daniel Forkert, Jens Fiehler, 2014, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

Rigid 3D–3D registration of TOF MRA integrating vessel segmentation for quantification of recurrence volumes after coiling cerebral aneurysm

Nils Daniel Forkert, Jens Fiehler, Dennis Säring, 2011, Neuroradiology.

Anisotropic cerebral vascular architecture causes orientation dependency in cerebral blood flow and volume measured with dynamic susceptibility contrast magnetic resonance imaging

Nils Daniel Forkert, Anthony Traboulsee, Vanessa Wiggermann, 2016, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

Persistent Hemodynamic Changes in Ruptured Brain Arteriovenous Malformations

Nils Daniel Forkert, Jens Fiehler, Till Illies, 2012, Stroke.

Impact of Severe Extracranial ICA Stenosis on MRI Perfusion and Diffusion Parameters in Acute Ischemic Stroke

Bastian Cheng, Götz Thomalla, Nils Daniel Forkert, 2014, Front. Neurol..

1 Visualization and Analysis of Cerebral Arteriovenous Malformation combining 3D and 4D MR Image Sequences

Nils Daniel Forkert, Heinz Handels, Jens Fiehler, 2007 .