2024
Beitrag in Fachzeitschrift
Accuracy and Precision of Mandible Segmentation and Its Clinical Implications
k-strip
What is Diminished Virtuality? A Directional and Layer-Based Taxonomy for the Reality-Virtuality Continuum
Classification of lung cancer subtypes on CT images with synthetic pathological priors
Type B Aortic Dissection CTA Collection with True and False Lumen Expert Annotations for the Development of AI-based Algorithms
A semi-automatic method for block-structured hexahedral meshing of aortic dissections
Tagungsbeitrag
DeepDRProceedings - 2024 International Conference on 3D Vision, 3DV 2024750-760
Optimizing Aortic Segmentation with an Innovative Quality Assessment: The Role of Global Sensitivity AnalysisSegmentation of the Aorta. Towards the Automatic Segmentation, Modeling, and Meshing of the Aortic Vessel Tree from Multicenter Acquisition - First Challenge, SEG.A. 2023, Held in Conjunction with MICCAI 2023, Proceedings110-126
A Baseline Solution for the ISBI 2024 Dreaming ChallengeIEEE International Symposium on Biomedical Imaging, ISBI 2024 - Conference Proceedings
Deep Learning-Based Point Cloud Registration for Augmented Reality-Guided SurgeryIEEE International Symposium on Biomedical Imaging, ISBI 2024 - Conference Proceedings
Generalisation of Segmentation Using Generative Adversarial NetworksIEEE International Symposium on Biomedical Imaging, ISBI 2024 - Conference Proceedings
2023
Beitrag in Fachzeitschrift
The HoloLens in medicine: A systematic review and taxonomy
Open-source skull reconstruction with MONAI
3D surgical instrument collection for computer vision and extended reality
Sparse convolutional neural network for high-resolution skull shape completion and shape super-resolution
Automated cross-sectional view selection in CT angiography of aortic dissections with uncertainty awareness and retrospective clinical annotations
Tagungsbeitrag
Anatomy CompletorShape in Medical Imaging 1-14
Training β -VAE by Aggregating a Learned Gaussian Posterior with a Decoupled DecoderMedical Applications with Disentanglements - First MICCAI Workshop, MAD 2022, Held in Conjunction with MICCAI 2022, Proceedings70-92
Applying Disentanglement in the Medical DomainMedical Applications with Disentanglements - First MICCAI Workshop, MAD 2022, Held in Conjunction with MICCAI 2022, Proceedings3-11
Multicenter aortic vessel tree extraction using deep learningMedical Imaging 2023
A Web-based Radiomics Module for Image Feature Extraction for Tumor CharacterizationMedical Imaging 2023
2022
Beitrag in Fachzeitschrift
Stochastic modeling of inhomogeneities in the aortic wall and uncertainty quantification using a Bayesian encoder-decoder surrogate
Radiomics in Head and Neck Cancer Outcome Predictions
Medical deep learning—A systematic meta-review
AVT: Multicenter aortic vessel tree CTA dataset collection with ground truth segmentation masks
Studierfenster
Tagungsbeitrag
CranGAN44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2022603-608
Geometric modeling of aortic dissections through convolution surfacesMedical Imaging 2022
Bringing any Medical 3D Scan onto Augmented Reality Hardware - A Streamlined Data PipelineMedical Imaging 2022
Enhancement of aortic dissections in CT AngiographyMedical Imaging 2022
Sonstiger Beitrag
Back to the Roots: Reconstructing Large and Complex Cranial Defects using an Image-based Statistical Shape Model
2021
Buchkapitel
PrefaceTowards the Automatization of Cranial Implant Design in Cranioplasty IIv
Beitrag in Fachzeitschrift
Augmented Reality for Head and Neck Carcinoma Imaging: Description and Feasibility of an Instant Calibration, Markerless Approach
Synthetic Skull Bone Defects for automatic Patient-specific Craniofacial Implant Design
MUG500+
Effects of pre‐operative risk factors on intensive care unit length of stay (Icu‐los) in major oral and maxillofacial cancer surgery
Automatic skull defect restoration and cranial implant generation for cranioplasty
SkullBreak / SkullFix – Dataset for automatic cranial implant design and a benchmark for volumetric shape learning tasks
Deep learning-a first meta-survey of selected reviews across scientific disciplines, their commonalities, challenges and research impact
Tagungsbeitrag
An Online Platform for Automatic Skull Defect Restoration and Cranial Implant DesignMedical Imaging 2021
Sparse Convolutional Neural Network for Skull ReconstructionTowards the Automatization of Cranial Implant Design in Cranioplasty 2 - Second Challenge, AutoImplant MICCAI 2021, Proceedings80-94
PCA-SkullTowards the Automatization of Cranial Implant Design in Cranioplasty 2 - Second Challenge, AutoImplant MICCAI 2021, Proceedings105-115
Learning to Rearrange Voxels in Binary Segmentation Masks for Smooth Manifold TriangulationTowards the Automatization of Cranial Implant Design in Cranioplasty II45-62
Inside-Out Instrument Tracking for Surgical Navigation in Augmented RealityVRST '21
A cloud-based centerline algorithm for StudierfensterMedical Imaging 2021
A patch-based-Approach for aortic landmarkingMedical Imaging 2021
A web client-based online DICOM browser and NRRD converter for StudierfensterMedical Imaging 2021
Deep learning and particle filter-based aortic dissection vessel tree segmentationMedical Imaging 2021
2020
Proceedings
Towards the Automatization of Cranial Implant Design in Cranioplasty
Beitrag in Fachzeitschrift
Deep Learning - A first Meta-Survey of selected Reviews across Scientific Disciplines and their Research Impact
Medical Deep Learning - A systematic Meta-Review
Tagungsbeitrag
A comprehensive Workflow and Framework for immersive Virtual Endoscopy of dissected Aortae from CTA DataMedical Imaging 2020
IRIS: interactive real-time feedback image segmentation with deep learningSPIE Medical Imaging
Design and Development of a Web-based Tool for Inpainting of Dissected Aortae in Angiography Images2020 Central European Seminar on Computer Graphics
Semi-supervised Virtual Regression of Aortic Dissections Using 3D Generative InpaintingThoracic Image Analysis - Second International Workshop, TIA 2020, Held in Conjunction with MICCAI 2020, Proceedings130-140
A baseline approach for autoimplant: the MICCAI 2020 cranial implant design challengeMultimodal Learning for Clinical Decision Support and Clinical Image-Based Procedures 75-84
Single-Shot Deep Volumetric Regression for Mobile Medical Augmented RealityMultimodal Learning for Clinical Decision Support and Clinical Image-Based Procedures 64-74
Dataset Descriptor for the AutoImplant Cranial Implant Design ChallengeTowards the Automatization of Cranial Implant Design in Cranioplasty 10-15
High-Resolution Cranial Implant Prediction via Patch-Wise TrainingTowards the Automatization of Cranial Implant Design in Cranioplasty - First Challenge, AutoImplant 2020, Held in Conjunction with MICCAI 2020, Proceedings94 -103
Learning Volumetric Shape Super-Resolution for Cranial Implant DesignTowards the Automatization of Cranial Implant Design in Cranioplasty - First Challenge, AutoImplant 2020, Held in Conjunction with MICCAI 2020, Proceedings104 -113
Technischer Bericht
Visual Computing of Dissected Aortae
Sonstiger Beitrag
A novel robot-world calibration in surgical robot system for zygomatic implant placement based on its motion characteristics and mechanical structure
Towards the Automatization of Cranial Implant Design in Cranioplasty: Structured description of the challenge design
2019
Beitrag in Fachzeitschrift
A Marker-Less Registration Approach for Mixed Reality–Aided Maxillofacial Surgery: a Pilot Evaluation
Exploit fully automatic low-level segmented PET data for training high-level deep learning algorithms for the corresponding CT data
Computed tomography data collection of the complete human mandible and valid clinical ground truth models
Free thoracodorsal, perforator-scapular flap based on the angular artery (TDAP-Scap-aa): Clinical experiences and description of a novel technique for single flap reconstruction of extensive oromandibular defects
A Review on Multiplatform Evaluations of Semi-Automatic Open-Source Based Image Segmentation for Cranio-Maxillofacial Surgery
Facial model collection for medical augmented reality in oncologic cranio-maxillofacial surgery
Tagungsbeitrag
Pattern Recognition and Mixed Reality for Computer-Aided Maxillofacial Surgery and Oncological AssessmentBMEiCON 2018 - 11th Biomedical Engineering International Conference
Depth-Awareness in a System for Mixed-Reality Aided Surgical ProceduresIntelligent Computing Methodologies - 15th International Conference, ICIC 2019, Proceedings716-726
Markerless Image-to-Face Registration for Untethered Augmented Reality in Head and Neck SurgeryInternational Conference on Medical Image Computing and Computer-Assisted Intervention236-244
A Client/Server Based Online Environment for Manual Segmentation of Medical ImagesThe 23rd Central European Seminar on Computer Graphics (CESCG)1-8
Learning from the Truth: Fully Automatic Ground Truth Generation for Training of Medical Deep Learning NetworksProceedings of the Joint ARW & OAGM Workshop 2019173-174
A Client/Server based Online Environment for the Calculation of Medical Segmentation Scores2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)3463-3467
Using Synthetic Training Data for Deep Learning-Based GBM Segmentation2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)6724-6729
Automated Computer-aided Design of Cranial Implants Using a Deep Volumetric Convolutional Denoising AutoencoderNew Knowledge in Information Systems and Technologies151-160
Sonstiger Beitrag
PET-Train: Automatic Ground Truth Generation from PET Acquisitions for Urinary Bladder Segmentation in CT Images using Deep Learning
2018
Beitrag in Fachzeitschrift
Clinical evaluation of semi-automatic open-source algorithmic software segmentation of the mandibular bone
Chemotherapeutic agents eligible for prior dosing in pancreatic cancer patients requiring hemodialysis
Tagungsbeitrag
Fully Convolutional Mandible Segmentation on a valid Ground-Truth DatasetProceedings IEEE Engineering in Medicine and Biology Conference (EMBC)
Exploit 18F-FDG enhanced urinary bladder in PET data for deep learning ground truth generation in CT scansMedical Imaging 2018: Biomedical Applications in Molecular, Structural, and Functional Imaging
Sonstiger Beitrag
Lower jawbone data generation for deep learning tools under MeVisLab
Multi-threaded integration of HTC-Vive and MeVisLab
TuMore: generation of synthetic brain tumor MRI data for deep learning based segmentation approaches
2017
Beitrag in Fachzeitschrift
Feasibility of alternating induction and maintenance chemotherapy in pancreatic cancer
Interactive reconstructions of cranial 3D implants under MeVisLab as an alternative to commercial planning software
HTC Vive MeVisLab integration via OpenVR for medical applications
Interactive Outlining of Pancreatic Cancer Liver Metastases in Ultrasound Images
Computer-aided implant design for the restoration of cranial defects
Computer-aided position planning of miniplates to treat facial bone defects
Algorithm guided outlining of 105 pancreatic cancer liver metastases in Ultrasound
Vertebral body segmentation with GrowCut
Tagungsbeitrag
Interactive Planning of MiniplatesProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Algorithmic evaluation of lower jawbone segmentationsProc. SPIE Medical Imaging
Integration of the HTC Vive into the Medical Platform MeVisLabProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Interaktive Planung von GesichtsimplantatenBildverarbeitung für die Medizin 2017134 - 139
Sonstiger Beitrag
In-depth Assessment of an Interactive Graph-based Approach for the Segmentation for Pancreatic Metastasis in Ultrasound Acquisitions of the Liver with two Specialists in Internal Medicine
Interactive Planning of Miniplates
Integration of the HTC Vive into the Medical Platform MeVisLab
Interaktive Planung von Gesichtsimplantaten
Development of a Semiautomatic Segmentation Algorithm for the Measurement of Pancreatic Cancer Liver Metastases in Ultrasound Images
Evaluation of an Interactive Segmentation Algorithm using Ultrasound Images of Pancreatic Cancer Liver Metastases
Interactive algorithm for the measurement of pancreatic cancer liver metastases in ultrasound
Augmented Reality (AR)-guided intraoperative Navigation
A VR-based surgical simulation system using patient- specific physical computing model
2016
Beitrag in Fachzeitschrift
A semi-automatic computer-aided method for surgical template design
Development of a computer-aided design software for dental splint in orthognathic surgery
Computer-Aided Planning of Cranial 3D Implants
Improvement in advanced pancreatic cancer survival with novel chemotherapeutic strategies - experience of a community based hospital
Iterative-cuts
Tagungsbeitrag
Clinical Evaluation of Mandibular Bone SegmentationProc. IEEE Engineering in Medicine and Biology Society (EMBC'16), Posters
US-Cut: interactive algorithm for rapid detection and segmentation of liver tumors in ultrasound acquisitionsProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Computer-Aided Planning and Reconstruction of Cranial 3D ImplantsProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS1179 - 1183
Abschlussarbeit
Segmentierung medizinischer Bilddaten und bildgestützte intraoperative Navigation
Sonstiger Beitrag
Image-guided real-time-segmentation of the mandibular bone: Can a simple Segmentation approach provide a satisfying result for a practicable use?
AR (augmented reality)-Paradigmenwechsel im Therapiedesign
Computer-aided Reconstruction of Facial Defects
2015
Beitrag in Fachzeitschrift
Development of a surgical navigation system based on augmented reality using an optical see-through head-mounted display
Interactive Volumetry Of Liver Ablation Zones
Tagungsbeitrag
Semi-automatische Segmentierung von Schädigungszonen in post-interventionellen CT-DatenWorkshop Bildverarbeitung für die Medizin
Interaktive und skalierungsinvariante Segmentierung des Rektums/Sigmoid in intraoperativen MRT-Aufnahmen für die gynäkologische BrachytherapieWorkshop Bildverarbeitung für die Medizin
Adaptive Scan Strategies for fetal MRI Imaging using Slice to Volume TechniquesIEEE International Symposium on Biomedical Imaging (ISBI): From Nano to Macro
RFA-Cut: Semi-automatic Segmentation of Radiofrequency Ablation Zones with and without Needles via Optimal s-t-CutsAnnual International Conference of the IEEE Engineering in Medicine and Biology Society
Global Illumination Rendering for High-Quality Volume Visualization in the Medical Domainface 2 face - science meets art
Sonstiger Beitrag
In-depth Multicenter Workflow Analysis of Liver Tumor Ablations for the Development of a Novel Computer-aided Software Tool
Global Illumination Rendering for High-Quality Volume Visualization in the Medical Domain
In-depth Multicenter Workflow Analysis of Liver Tumor Ablations for the Development of a Novel Computer-aided Software Tool
2014
Beitrag in Fachzeitschrift
Refinement-Cut: User-Guided Segmentation Algorithm for Translational Science
Interactive-cut: Real-time feedback segmentation for translational research
Sonstiger Beitrag
Semi - automatische Echtzeit - Konturierung mit einem vorlagenbasierten und skalierungsinvarianten Ansatz
Novel Semiautomatic Real-time CT Segmentation Tool and Preliminary Clinical Evaluation on Thermally Induced Lesions in the Liver