research
∙
09/10/2023
Anatomy Completor: A Multi-class Completion Framework for 3D Anatomy Reconstruction
In this paper, we introduce a completion framework to reconstruct the ge...
share
research
∙
08/09/2023
Classification of lung cancer subtypes on CT images with synthetic pathological priors
The accurate diagnosis on pathological subtypes for lung cancer is of si...
research
∙
06/27/2023
CellViT: Vision Transformers for Precise Cell Segmentation and Classification
Nuclei detection and segmentation in hematoxylin and eosin-stained (H ...
research
∙
10/25/2022
'A net for everyone': fully personalized and unsupervised neural networks trained with longitudinal data from a single patient
With the rise in importance of personalized medicine, we trained persona...
research
∙
10/21/2022
Valuing Vicinity: Memory attention framework for context-based semantic segmentation in histopathology
The segmentation of histopathological whole slide images into tumourous ...
research
∙
09/29/2022
Training β-VAE by Aggregating a Learned Gaussian Posterior with a Decoupled Decoder
The reconstruction loss and the Kullback-Leibler divergence (KLD) loss i...
research
∙
09/06/2022
The HoloLens in Medicine: A systematic Review and Taxonomy
The HoloLens (Microsoft Corp., Redmond, WA), a head-worn, optically see-...
research
∙
07/04/2022
GAN-based generation of realistic 3D data: A systematic review and taxonomy
Data has become the most valuable resource in today's world. With the ma...
research
∙
05/19/2022
k-strip: A novel segmentation algorithm in k-space for the application of skull stripping
Objectives: Present a novel deep learning-based skull stripping algorith...
research
∙
04/12/2022
Back to the Roots: Reconstructing Large and Complex Cranial Defects using an Image-based Statistical Shape Model
Designing implants for large and complex cranial defects is a challengin...
research
∙
03/21/2022
Review of Disentanglement Approaches for Medical Applications – Towards Solving the Gordian Knot of Generative Models in Healthcare
Deep neural networks are commonly used for medical purposes such as imag...
research
∙
02/21/2022
Stochastic Modeling of Inhomogeneities in the Aortic Wall and Uncertainty Quantification using a Bayesian Encoder-Decoder Surrogate
Inhomogeneities in the aortic wall can lead to localized stress accumula...
research
∙
12/01/2021
MOMO – Deep Learning-driven classification of external DICOM studies for PACS archivation
Patients regularly continue assessment or treatment in other facilities ...
research
∙
11/22/2021
Automated cross-sectional view selection in CT angiography of aortic dissections with uncertainty awareness and retrospective clinical annotations
Objective: Surveillance imaging of chronic aortic diseases, such as diss...
research
∙
08/11/2021
Learning to Rearrange Voxels in Binary Segmentation Masks for Smooth Manifold Triangulation
Medical images, especially volumetric images, are of high resolution and...
research
∙
08/06/2021
AI-based Aortic Vessel Tree Segmentation for Cardiovascular Diseases Treatment: Status Quo
The aortic vessel tree is composed of the aorta and its branching arteri...
research
∙
11/16/2020
Deep Learning – A first Meta-Survey of selected Reviews across Scientific Disciplines and their Research Impact
Deep learning belongs to the field of artificial intelligence, where mac...
research
∙
10/28/2020
Medical Deep Learning – A systematic Meta-Review
Deep learning had a remarkable impact in different scientific discipline...
research
∙
06/22/2020
A Baseline Approach for AutoImplant: the MICCAI 2020 Cranial Implant Design Challenge
In this study, we present a baseline approach for AutoImplant (https://a...
research
∙
06/01/2020
An Online Platform for Automatic Skull Defect Restoration and Cranial Implant Design
We introduce a fully automatic system for cranial implant design, a comm...
research
∙
05/06/2020
Design and Development of a Web-based Tool for Inpainting of Dissected Aortae in Angiography Images
Medical imaging is an important tool for the diagnosis and the evaluatio...
research
∙
04/18/2019
Client/Server Based Online Environment for Manual Segmentation of Medical Images
Segmentation is a key step in analyzing and processing medical images. D...
research
∙
03/07/2019
Exploit fully automatic low-level segmented PET data for training high-level deep learning algorithms for the corresponding CT data
We present an approach for fully automatic urinary bladder segmentation ...
research
∙
02/14/2019
Computed tomography data collection of the complete human mandible and valid clinical ground truth models
Image-based algorithmic software segmentation is an increasingly importa...
research
∙
05/11/2018
Clinical evaluation of semi-automatic opensource algorithmic software segmentation of the mandibular bone: Practical feasibility and assessment of a new course of action
Computer assisted technologies based on algorithmic software segmentatio...
research
∙
03/12/2018
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 Intern
The manual outlining of hepatic metastasis in (US) ultrasound acquisitio...
research
∙
11/13/2017
Vertebral body segmentation with GrowCut: Initial experience, workflow and practical application
In this contribution, we used the GrowCut segmentation algorithm publicl...
research
∙
10/09/2017
Algorithm guided outlining of 105 pancreatic cancer liver metastases in Ultrasound
Manual segmentation of hepatic metastases in ultrasound images acquired ...
research
∙
08/17/2017
Computer-aided position planning of miniplates to treat facial bone defects
In this contribution, a software system for computer-aided position plan...
research
∙
06/23/2017
Computer-aided implant design for the restoration of cranial defects
Patient-specific cranial implants are important and necessary in the sur...
research
∙
04/18/2017
Interactive Outlining of Pancreatic Cancer Liver Metastases in Ultrasound Images
Ultrasound (US) is the most commonly used liver imaging modality worldwi...
research
∙
03/22/2017
HTC Vive MeVisLab integration via OpenVR for medical applications
Virtual Reality, an immersive technology that replicates an environment ...
research
∙
03/09/2017
Interactive reconstructions of cranial 3D implants under MeVisLab as an alternative to commercial planning software
In this publication, the interactive planning and reconstruction of cran...
research
∙
03/09/2017
Development of a computer-aided design software for dental splint in orthognathic surgery
In the orthognathic surgery, dental splints are important and necessary ...
research
∙
03/03/2016
Interactive and Scale Invariant Segmentation of the Rectum/Sigmoid via User-Defined Templates
Among all types of cancer, gynecological malignancies belong to the 4th ...
research
∙
03/03/2016
Cellular Automata Segmentation of the Boundary between the Compacta of Vertebral Bodies and Surrounding Structures
Due to the aging population, spinal diseases get more and more common no...
research
∙
03/02/2016
US-Cut: Interactive Algorithm for rapid Detection and Segmentation of Liver Tumors in Ultrasound Acquisitions
Ultrasound (US) is the most commonly used liver imaging modality worldwi...
research
∙
02/09/2016
Detection and Visualization of Endoleaks in CT Data for Monitoring of Thoracic and Abdominal Aortic Aneurysm Stents
In this paper we present an efficient algorithm for the segmentation of ...
research
∙
02/08/2016
Simulation of bifurcated stent grafts to treat abdominal aortic aneurysms (AAA)
In this paper a method is introduced, to visualize bifurcated stent graf...
research
∙
02/05/2016
Preoperative Volume Determination for Pituitary Adenoma
The most common sellar lesion is the pituitary adenoma, and sellar tumor...
research
∙
02/04/2016
A semi-automatic computer-aided method for surgical template design
This paper presents a generalized integrated framework of semi-automatic...
research
∙
10/21/2015
Interactive Volumetry Of Liver Ablation Zones
Percutaneous radiofrequency ablation (RFA) is a minimally invasive techn...
research
∙
06/07/2014
Refinement-Cut: User-Guided Segmentation Algorithm for Translational Science
In this contribution, a semi-automatic segmentation algorithm for (medic...
research
∙
04/17/2014
Cube-Cut: Vertebral Body Segmentation in MRI-Data through Cubic-Shaped Divergences
In this article, we present a graph-based method using a cubic template ...
research
∙
10/23/2013
A Ray-based Approach for Boundary Estimation of Fiber Bundles Derived from Diffusion Tensor Imaging
Diffusion Tensor Imaging (DTI) is a non-invasive imaging technique that ...
research
∙
10/21/2013
Determination, Calculation and Representation of the Upper and Lower Sealing Zones During Virtual Stenting of Aneurysms
In this contribution, a novel method for stent simulation in preoperativ...
research
∙
10/12/2013
PCG-Cut: Graph Driven Segmentation of the Prostate Central Gland
Prostate cancer is the most abundant cancer in men, with over 200,000 ex...
research
∙
01/10/2013
3T MR-Guided Brachytherapy for Gynecologic Malignancies
Gynecologic malignancies are a leading cause of death in women worldwide...
research
∙
12/12/2012
Pituitary Adenoma Volumetry with 3D Slicer
In this study, we present pituitary adenoma volumetry using the free and...
research
∙
05/30/2012
