Publications
2022
Abstract: The Importance of Dataset Choice Lessons Learned from COVID-19 X-ray Imaging Models; ; ; ;
in Bildverarbeitung für die Medizin 2022. Informatik aktuell. Springer Vieweg, Wiesbaden. (2022, April 05)
The effect of dataset confounding on predictions of deep neural networks for medical imaging; ;
in Vol. 3 (2022): Proceedings of the Northern Lights Deep Learning Workshop 2022 (2022, April 18)
Generalising from conventional pipelines using deep learning in high‑throughput screening workfows; ; ; ; ; ; ; ; ; ;
in Scientific Reports (2022)
Rapid artificial intelligence solutions in a pandemic—The COVID-19-20 Lung CT Lesion Segmentation Challenge; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ;
in Medical Image Analysis (2022)
2021
Therapeutic maps for a sensor-based evaluation of deep brain stimulation programming; ; ; ; ;
in Biomedizinische Technik. Biomedical Engineering (2021)
Public Covid-19 X-ray datasets and their impact on model bias - a systematic review of a significant problem; ; ;
in Medical Image Analysis (2021), 74
Model bias and its impact on computer-aided diagnosis: A data-centric approach; ; ; ;
Poster (2021, August)
The need of standardised metadata to encode causal relationships: Towards safer data-driven machine learning biological solutions; ;
Scientific Conference (2021, November 16)
DBS Imaging Methods II: Electrode Localization;
in Horn, Andreas (Ed.) Connectomic Deep Brain Stimulation (2021)
Intraoperative discrimination of native meningioma and dura mater by Raman spectroscopy; ; ; ; ; ; ; ; ; ;
in Scientific Reports (2021)
Modelling COVID-19 dynamics and potential for herd immunity by vaccination in Austria, Luxembourg and Sweden; ; ; ; ; ; ; ; ;
in Journal of Theoretical Biology (2021)
Application of Raman Spectroscopy for Detection of Histologically Distinct Areas in Formalin-fixed Paraffin-embedded (FFPE) Glioblastoma; ; ; ; ; ; ; ; ;
in Neuro-Oncology Advances (2021)
Differentiation of primary CNS lymphoma and glioblastoma using Raman spectroscopy and machine learning algorithms; ; ; ; ; ; ; ; ;
in Free Neuropathology (2021), 2
Dynamical SPQEIR model assesses the effectiveness of non-pharmaceutical interventions against COVID-19 epidemic outbreaks.; ; ; ; ; ; ; ; ;
in PloS one (2021), 16(5), 0252019
Rapid Artificial Intelligence Solutions in a Pandemic - The COVID-19-20 Lung CT Lesion Segmentation Challenge.; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ;
E-print/Working paper (2021)
Leveraging state-of-the-art architectures by enriching training information - a case study; ; ; ; ; ;
Speeches/Talks (2021)
Automated Deep Learning-based Segmentation of Brain, SEEG and DBS Electrodes on CT Images.; ; ; ; ; ;
in Bildverarbeitung für die Medizin 2021 (2021)
2020
Impressive weight gain after deep brain stimulation of nucleus accumbens in treatment- resistant bulimic anorexia nervosa; ; ;
in BMJ Case Reports (2020)
FastField: An Open-Source Toolbox for Efficient Approximation of Deep Brain Stimulation Electric Fields; ; ; ;
in NeuroImage (2020)
Analysis and visualisation of tremor dynamics in deep brain stimulation patients; ; ; ;
in Current Directions in Biomedical Engineering (2020), 6(3), 4
A rule-based expert system for real-time feedback-control in deep brain stimulation; ; ; ;
in Current Directions in Biomedical Engineering (2020), 6(3), 4
Automatic Detection of Nigrosome Degeneration in Susceptibility-Weighted MRI for Computer-Aided Diagnosis of Parkinson’s Disease Using Machine Learning; ;
in Movement Disorders (2020, September 12)
On the Composition and Limitations of Publicly Available COVID-19 X-Ray Imaging Datasets; ; ;
E-print/Working paper (2020)
Patient-derived organoids and orthotopic xenografts of primary and recurrent gliomas represent relevant patient avatars for precision oncology.; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ;
in Acta Neuropathologica (2020)
Primary and recurrent glioma patient-derived orthotopic xenografts (PDOX) represent relevant patient avatars for precision medicine; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ;
E-print/Working paper (2020)
Assessing suppression strategies against epidemicoutbreaks like COVID-19: the SPQEIR model; ; ; ; ; ; ; ; ;
E-print/Working paper (2020)
2019
From tech to bench: Deep Learning pipeline for image segmentation of high-throughput high-content microscopy data; ; ; ; ; ; ; ; ; ;
Poster (2019, November 29)
Deep Learning Quality Control for High-Throughput High-Content Screening Microscopy Images; ; ; ;
Poster (2019, October 10)
Habenula deep brain stimulation for refractory bipolar disorder.; ; ; ; ; ; ; ; ;
in Brain stimulation (2019)
2018
Dystone Bewegungsstörungen bei Kindernin Bächli, Heidi; Lütschg, Jürg; Messing-Jünger, Martina (Eds.) Pädiatrische Neurochirurgie (2018)
Lead-DBS v2: Towards a comprehensive pipeline for deep brain stimulation imaging.; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ;
in NeuroImage (2018)
PaCER - A fully automated method for electrode trajectory and contact reconstruction in deep brain stimulation; ; ; ;
in NeuroImage: Clinical (2018), 17
Post-operative deep brain stimulation assessment: Automatic data integration and report generation; ; ; ; ;
in Brain Stimulation (2018)
Using automated electrode localization to guide stimulation management in DBS; ; ; ; ;
in Annals of Clinical and Translational Neurology (2018), 0(0),
2017
Shape-aware surface reconstruction from sparse 3D point-clouds; ; ; ; ; ; ; ; ;
in Medical Image Analysis (2017), 38
Integration of sparse electrophysiological measurements with preoperative MRI using 3D surface estimation in deep brain stimulation surgery; ; ;
in Webster, Robert; Fei, Baowei (Eds.) Medical Imaging 2017: Image-Guided Procedures, Robotic Interventions, and Modeling (2017, February 14)
2016
Linear Shape Deformation Models with Local Support using Graph-based Structured Matrix Factorisation; ; ; ;
in Linear Shape Deformation Models with Local Support using Graph-based Structured Matrix Factorisation (2016)
Fast Correspondences for Statistical Shape Models of Brain Structures; ; ; ; ; ;
in SPIE Medical Imaging (2016, March)
2015
Shape-aware 3D Interpolation using Statistical Shape Models; ; ; ; ;
in Symposium on Statistical Shape Models and Applications, Delemont, Switzerland, October 2015 (2015, October)
A solution for Multi-Alignment by Transformation Synchronisation; ; ; ; ;
in The proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2015)
Transitively Consistent and Unbiased Multi-Image Registration Using Numerically Stable Transformation Synchronisation; ; ; ; ; ;
in MIDAS Journal (2015)
Diffusion tensor imaging--arcuate fasciculus and the importance for the neurosurgeon.; ; ;
in Clinical neurology and neurosurgery (2015), 132
Visualization of the medial forebrain bundle using diffusion tensor imaging.; ; ; ;
in Frontiers in Neuroanatomy (2015), 9
Susceptibility-Weighted MRI for Deep Brain Stimulation: Potentials in Trajectory Planning; ; ; ;
in Stereotactic & Functional Neurosurgery (2015), 93(5), 303-308
Assessment of Electrode Displacement and Deformation with Respect to Pre-Operative Planning in Deep Brain Stimulation; ; ; ;
in Handels, Heinz; Deserno, Thomas Martin; Meinzer, Hans-Peter; Tolxdorff, Thomas (Eds.) Bildverarbeitung für die Medizin 2015 (2015)
Stabilization with the Dynamic Cervical Implant: a novel treatment approach following cervical discectomy and decompression.; ; ; ;
in Journal of Neurosurgery. Spine (2015), 22(3), 237-45
2014
An Extensible Development Environment for 3D Segmentations based on Active Shape Models; ; ;
in Shape Symposium (2014)
Improving the Consistency of Manual Deep Brain Structure Segmentations by Combining Variational Interpolation, Simultaneous Multi-Modality Visualisation and Histogram Equilisation; ; ; ; ; ;
in Biomedizinische Technik. Biomedical Engineering (2014), 59(1), 131-134
Holmes tremor in a patient with progressive multifocal leukoencephalopathy.; ; ; ;
in Surgical Neurology International (2014), 5(Suppl 8), 413-5
DTI of the visual pathway - white matter tracts and cerebral lesions.; ; ; ; ; ; ;
in Journal of Visualized Experiments (2014), (90),
Glioblastomas are composed of genetically divergent clones with distinct tumourigenic potential and variable stem cell-associated phenotypes.; ; ; ; ; ; ; ; ; ; ; ;
in Acta Neuropathologica (2014), 127(2), 203-19
2013
Side population in human glioblastoma is non-tumorigenic and characterizes brain endothelial cells.; ; ; ; ; ; ; ; ;
in Brain : a journal of neurology (2013), 136(Pt 5), 1462-75
A new rechargeable device for deep brain stimulation: a prospective patient satisfaction survey.; ; ; ; ; ; ; ; ; ; ; ; ; ; ;
in European Neurology (2013), 69(4), 193-9
2012
2008
Impaired performance on the Wisconsin Card Sorting Test under left- when compared to right-sided deep brain stimulation of the subthalamic nucleus in patients with Parkinson's disease.; ; ; ;
in Journal of neurology (2008), 255(12), 1940-8
2006
Kapitel 19 - ZNS-Tumoren; ; ;
in Pfeifer, Ben; ???; Preiß, Joachim; ???; Unger, Clemens (Eds.) Onkologie integrativ (2006)
Perfusion-weighted Magnetic Resonance Imaging in Patients with Vasospasm: A Useful New Tool in the Management of Patients with Subarachnoid Hemorrhage.; ; ;
in Neurosurgery (2006), 58(3), 590
Unilateral Holmes tremor, clearly responsive to cerebrospinal fluid release, in a patient with an ischemic midbrain lesion and associated chronic hydrocephalic ventricle enlargement. Case report.; ; ; ; ; ;
in Journal of Neurosurgery (2006), 104(3), 448-51
Implantation of electrodes for deep brain stimulation of the subthalamic nucleus in advanced Parkinson's disease with the aid of intraoperative microrecording under general anesthesia.; ; ; ; ; ;
in Neurosurgery (2006), 59(5), 11381138
2005
Perfusion-weighted magnetic resonance imaging in patients with vasospasm: a useful new tool in the management of patients with subarachnoid hemorrhage.; ; ;
in Neurosurgery (2005), 56(1), 28-3535
Alteration of cerebral perfusion in patients with idiopathic normal pressure hydrocephalus measured by 3D perfusion weighted magnetic resonance imaging.; ; ;
in Journal of neurology (2005), 252(12), 1465-71
2002
Computerassistierte Hirnoperationen; ;
in Laubach, Ester; Mau, Frank; Mau, Thomas (Eds.) Medizin im 21. Jahrhundert: Molekulare Medizin, Mikrotherapie und High-Tech-Operationen (2002)
