The effect of virtual reality games on the gross motor skills of children with cerebral palsy: a meta-analysis of randomized controlled trials
Z Ren, J Wu - International journal of environmental research and …, 2019 - mdpi.com
This review aimed to systematically evaluate the rehabilitatitive effect of Virtual Reality
Games (VRGs) for gross motor skills of children with cerebral palsy (CP), and to give …
Games (VRGs) for gross motor skills of children with cerebral palsy (CP), and to give …
3D bounding box detection in volumetric medical image data: A systematic literature review
D Kern, A Mastmeyer - 2021 IEEE 8th International Conference …, 2021 - ieeexplore.ieee.org
This paper discusses current methods and trends for 3D bounding box detection in
volumetric medical image data. For this purpose, an overview of relevant papers from recent …
volumetric medical image data. For this purpose, an overview of relevant papers from recent …
Comparison of 2D vs. 3D U-Net Organ Segmentation in abdominal 3D CT images
N Zettler, A Mastmeyer - arXiv preprint arXiv:2107.04062, 2021 - arxiv.org
A two-step concept for 3D segmentation on 5 abdominal organs inside volumetric CT
images is presented. First each relevant organ's volume of interest is extracted as bounding …
images is presented. First each relevant organ's volume of interest is extracted as bounding …
Intelligent virtual case learning system based on real medical records and natural language processing
M Wang, Z Sun, M Jia, Y Wang, H Wang, X Zhu… - BMC Medical Informatics …, 2022 - Springer
Background Modernizing medical education by using artificial intelligence and other new
technologies to improve the clinical thinking ability of medical students is an important …
technologies to improve the clinical thinking ability of medical students is an important …
Livrsono-virtual reality training with haptics for intraoperative ultrasound
M Allgaier, F Huettl, LI Hanke, H Lang… - … on Mixed and …, 2023 - ieeexplore.ieee.org
One of the biggest challenges in using ultrasound (US) is learning to create a spatial mental
model of the interior of the scanned object based on the US image and the probe position …
model of the interior of the scanned object based on the US image and the probe position …
Efficient stratified 3D scatterer sampling for freehand ultrasound simulation
F Gaits, N Mellado, G Bouyjou… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Ultrasound image simulation is a well-explored field with the main objective of generating
realistic synthetic images, further used as ground truth for computational imaging algorithms …
realistic synthetic images, further used as ground truth for computational imaging algorithms …
Evaluation of direct haptic 4d volume rendering of partially segmented data for liver puncture simulation
A Mastmeyer, D Fortmeier, H Handels - Scientific reports, 2017 - nature.com
This work presents an evaluation study using a force feedback evaluation framework for a
novel direct needle force volume rendering concept in the context of liver puncture …
novel direct needle force volume rendering concept in the context of liver puncture …
Interpatient respiratory motion model transfer for virtual reality simulations of liver punctures
Current virtual reality (VR) training simulators of liver punctures often rely on static 3D patient
data and use an unrealistic (sinusoidal) periodic animation of the respiratory movement …
data and use an unrealistic (sinusoidal) periodic animation of the respiratory movement …
Population-based respiratory 4D motion atlas construction and its application for VR simulations of liver punctures
A Mastmeyer, M Wilms… - Medical Imaging 2018 …, 2018 - spiedigitallibrary.org
Virtual reality (VR) training simulators of liver needle insertion in the hepatic area of
breathing virtual patients often need 4D image data acquisitions as a prerequisite. Here, first …
breathing virtual patients often need 4D image data acquisitions as a prerequisite. Here, first …
2D vs. 3D U-Net abdominal organ segmentation in CT data using organ bounds
D Kern, U Klauck, T Ropinski… - Medical Imaging 2021 …, 2021 - spiedigitallibrary.org
We compare axial 2D U-Nets and their 3D counterparts for pixel/voxel-based segmentation
of five abdominal organs in CT scans. For each organ, two competing CNNs are trained …
of five abdominal organs in CT scans. For each organ, two competing CNNs are trained …