Nils Daniel Forkert
Orcid: 0000-0003-2556-3224
According to our database1,
Nils Daniel Forkert
authored at least 94 papers
between 2007 and 2024.
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Bibliography
2024
Identifying Biases in a Multicenter MRI Database for Parkinson's Disease Classification: Is the Disease Classifier a Secret Site Classifier?
IEEE J. Biomed. Health Informatics, April, 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
2023
Image-encoded biological and non-biological variables may be used as shortcuts in deep learning models trained on multisite neuroimaging data.
J. Am. Medical Informatics Assoc., November, 2023
Comput. Medical Imaging Graph., October, 2023
Lesion-preserving unpaired image-to-image translation between MRI and CT from ischemic stroke patients.
Int. J. Comput. Assist. Radiol. Surg., May, 2023
Simulation of neuroplasticity in a CNN-based in-silico model of neurodegeneration of the visual system.
Frontiers Comput. Neurosci., February, 2023
Dementia in Convolutional Neural Networks: Using Deep Learning Models to Simulate Neurodegeneration of the Visual System.
Neuroinformatics, January, 2023
CoRR, 2023
Improved multi-site Parkinson's disease classification using neuroimaging data with counterfactual inference.
Proceedings of the Medical Imaging with Deep Learning, 2023
A Flexible Framework for Simulating and Evaluating Biases in Deep Learning-Based Medical Image Analysis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
An analysis of intensity harmonization techniques for Parkinson's multi-site MRI datasets.
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, 2023
On the Relationship Between Open Science in Artificial Intelligence for Medical Imaging and Global Health Equity.
Proceedings of the Clinical Image-Based Procedures, Fairness of AI in Medical Imaging, and Ethical and Philosophical Issues in Medical Imaging, 2023
2022
Automatic Segmentation of Stroke Lesions in Non-contrast Computed Tomography Datasets with Convolutional Neural Networks.
Dataset, May, 2022
Invertible Modeling of Bidirectional Relationships in Neuroimaging With Normalizing Flows: Application to Brain Aging.
IEEE Trans. Medical Imaging, 2022
A Deep Invertible 3-D Facial Shape Model for Interpretable Genetic Syndrome Diagnosis.
IEEE J. Biomed. Health Informatics, 2022
IEEE Trans. Biomed. Eng., 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
An analysis of the effects of limited training data in distributed learning scenarios for brain age prediction.
J. Am. Medical Informatics Assoc., 2022
CoRR, 2022
Int. J. Comput. Assist. Radiol. Surg., 2022
Artif. Intell. Medicine, 2022
Segmentation of Tissues and Proliferating Cells in Light-Sheet Microscopy Images of Mouse Embryos Using Convolutional Neural Networks.
IEEE Access, 2022
Proceedings of the Medical Applications with Disentanglements - First MICCAI Workshop, 2022
Disproportionate Subgroup Impacts and Other Challenges of Fairness in Artificial Intelligence for Medical Image Analysis.
Proceedings of the Ethical and Philosophical Issues in Medical Imaging, Multimodal Learning and Fusion Across Scales for Clinical Decision Support, and Topological Data Analysis for Biomedical Imaging, 2022
Investigating the Vulnerability of Federated Learning-Based Diabetic Retinopathy Grade Classification to Gradient Inversion Attacks.
Proceedings of the Ophthalmic Medical Image Analysis - 9th International Workshop, 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
A fully convolutional neural network for explainable classification of attention deficit hyperactivity disorder.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 2022
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 2022
Lesion-preserving unpaired image-to-image translation between MRI and CT from ischemic stroke patients.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 2022
Proceedings of the Pattern Recognition, Computer Vision, and Image Processing. ICPR 2022 International Workshops and Challenges, 2022
Simulating progressive neurodegeneration in silico with deep artificial neural networks.
Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022
A morphometrics approach for inclusion of localised characteristics from medical imaging studies into genome-wide association studies.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
2021
An Analysis of the Vulnerability of Two Common Deep Learning-Based Medical Image Segmentation Techniques to Model Inversion Attacks.
Sensors, 2021
Combined Atlas and Convolutional Neural Network-Based Segmentation of the Hippocampus from MRI According to the ADNI Harmonized Protocol.
Sensors, 2021
Bone and joint enhancement filtering: Application to proximal femur segmentation from uncalibrated computed tomography datasets.
Medical Image Anal., 2021
Frontiers Neuroinformatics, 2021
Constructing High-Order Signed Distance Maps from Computed Tomography Data with Application to Bone Morphometry.
CoRR, 2021
Unifying Brain Age Prediction and Age-Conditioned Template Generation with a Deterministic Autoencoder.
Proceedings of the Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany., 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
Towards Self-explainable Classifiers and Regressors in Neuroimaging with Normalizing Flows.
Proceedings of the Machine Learning in Clinical Neuroimaging - 4th International Workshop, 2021
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021
Analysis of Generative Shape Modeling Approaches - Latent Space Properties and Interpretability.
Proceedings of the Bildverarbeitung für die Medizin 2021, 2021
2020
Segmentation-Based Blood Flow Parameter Refinement in Cerebrovascular Structures Using 4-D Arterial Spin Labeling MRA.
IEEE Trans. Biomed. Eng., 2020
Sensors, 2020
Building machine learning models without sharing patient data: A simulation-based analysis of distributed learning by ensembling.
J. Biomed. Informatics, 2020
Automatic Segmentation of Stroke Lesions in Non-Contrast Computed Tomography Datasets With Convolutional Neural Networks.
IEEE Access, 2020
A Kernelized Multi-level Localization Method for Flexible Shape Modeling with Few Training Data.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology, 2020
Proceedings of the Bildverarbeitung für die Medizin 2020 - Algorithmen - Systeme, 2020
2019
Rapid solution of the Bloch-Torrey equation in anisotropic tissue: Application to dynamic susceptibility contrast MRI of cerebral white matter.
NeuroImage, 2019
A methodology for generating four-dimensional arterial spin labeling MR angiography virtual phantoms.
Medical Image Anal., 2019
The Effect of Labeling Duration and Temporal Resolution on Arterial Transit Time Estimation Accuracy in 4D ASL MRA Datasets - A Flow Phantom Study.
Proceedings of the Machine Learning and Medical Engineering for Cardiovascular Health and Intravascular Imaging and Computer Assisted Stenting, 2019
2018
IEEE Trans. Biomed. Eng., 2018
DeepVesselNet: Vessel Segmentation, Centerline Prediction, and Bifurcation Detection in 3-D Angiographic Volumes.
CoRR, 2018
Proceedings of the Intravascular Imaging and Computer Assisted Stenting - and - Large-Scale Annotation of Biomedical Data and Expert Label Synthesis, 2018
Proceedings of the Computational Methods and Clinical Applications in Musculoskeletal Imaging, 2018
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
2017
Vascular Segmentation in TOF MRA Images of the Brain Using a Deep Convolutional Neural Network.
Proceedings of the Intravascular Imaging and Computer Assisted Stenting, and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis, 2017
Automatic Full Femur Segmentation from Computed Tomography Datasets Using an Atlas-Based Approach.
Proceedings of the Computational Methods and Clinical Applications in Musculoskeletal Imaging, 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
Automatic classification of cardioembolic and arteriosclerotic ischemic strokes from apparent diffusion coefficient datasets using texture analysis and deep learning.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017
Automatic classification of patients with idiopathic Parkinson's disease and progressive supranuclear palsy using diffusion MRI datasets.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017
Vessel segmentation in 4D arterial spin labeling magnetic resonance angiography images of the brain.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017
Low Rank and Sparse Matrix Decomposition as Stroke Segmentation Prior: Useful or Not? A Random Forest-Based Evaluation Study.
Proceedings of the Bildverarbeitung für die Medizin 2017 - Algorithmen - Systeme, 2017
2016
Beyond cost function masking: RPCA-based non-linear registration in the context of VLSM.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2016
2015
it Inf. Technol., 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
Automatische Detektion von Okklusionen zerebraler Arterien in 3D-Magnetresonanzangiographiedaten.
Proceedings of the Bildverarbeitung für die Medizin 2015, Algorithmen - Systeme, 2015
2013
PhD thesis, 2013
Computer-aided nidus segmentation and angiographic characterization of arteriovenous malformations.
Int. J. Comput. Assist. Radiol. Surg., 2013
Modellbasierte Analyse zerebrovaskulärer Erkrankungen durch Kombination von 3D und 4D MRA Datensätzen.
Proceedings of the Ausgezeichnete Informatikdissertationen 2013, 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
Proceedings of the User Centered Networked Health Care - Proceedings of MIE 2011, 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
Automatic Analysis of the Anatomy of Arteriovenous Malformations using 3D and 4D MRA Image Sequences.
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
Analyse und dynamische 3D-Visualisierung des Blutflusses von zerebralen Gefäßstrukturen unter Verwendung von 3D- und 4D-Magnetresonanzangiographie-Bildfolgen.
Proceedings of the Informatiktage 2009, 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