- Fast and low|dose medical imaging generation empowered by ...🔍
- Deep Learning in Medical Imaging🔍
- Development and validation of a 3D anthropomorphic phantom for ...🔍
- Deep learning|based fully automated Z|axis coverage range ...🔍
- MAGNETOM Vida🔍
- Radiograph|comparable image synthesis for spine alignment ...🔍
- A Deep|Learning|Based Quality Control Evaluation Method for CT ...🔍
- AiCE Deep Learning Reconstruction🔍
Additional file 1 of Clinical and phantom validation of a deep ...
NiftyNet: a deep-learning platform for medical imaging - ScienceDirect
Medical image analysis differs from other domains where deep learning is ... files for more complex data set structures (e.g. cross-validation studies).
Fast and low-dose medical imaging generation empowered by ...
We propose a hybrid deep-learning and iterative reconstruction (hybrid DL-IR) framework and apply it for fast magnetic resonance imaging (MRI), ...
Deep Learning in Medical Imaging - Neurospine
The other techniques performed the object detection using the regression method as one stage network [29-32]. These approaches are directly ...
Development and validation of a 3D anthropomorphic phantom for ...
The methodology can be extended further to create more models representative of the clinical population. 1 INTRODUCTION. Over the past two ...
Deep learning-based fully automated Z-axis coverage range ...
tion in clinical practice, leading to additional unnec- essary radiation dose in chest CT. ... the patient and the phantom. ... Additional file 1: Fig. 1 shows the ...
MAGNETOM Vida - accessdata.fda.gov
Furthermore, additional clinical publications were referenced to provide ... Additional Phantom Study of Free-Breathing and Respiratory-.
Radiograph-comparable image synthesis for spine alignment ...
... deep learning with prospective clinical validation. Nan Meng. Nan Meng ... An additional 302 patients (226 female, 74.8%) were recruited ...
A Deep-Learning-Based Quality Control Evaluation Method for CT ...
One crucial aspect of CT QC involves the evaluation of phantom images, utilizing specifically designed phantoms for accuracy management and subsequent objective ...
AiCE Deep Learning Reconstruction | Bringing the power of Ultra ...
Canon Medical's introduction of the Ultra-High Resolution Aquilion Precision, capable of 150 μm × 150 μm × 200 μm resolution, further motivated the need for ...
Deep Learning Image Reconstruction for CT: Technical Principles ...
Table 1: Currently Commercially Available Deep Learning Algorithms. An external file ... phantoms and patients. From the lower-dose ...
Impact of an artificial intelligence deep‐learning reconstruction ...
... Supplementary file. Images centered on Module 3 ... clinical protocol using either FBP or IR reconstruction algorithms in a phantom study.
Quantitative 2-Dimensionsal Digital Subtraction Venography for ...
Quantitative 2-Dimensionsal Digital Subtraction Venography for Venous Interventions: Validation in Phantom and In Vivo Porcine Models ... Additional support was ...
Realistic 3D Phantoms for Validation of Microwave Sensing ... - MDPI
1. Introduction. New wearable and portable medical monitoring and screening techniques are being investigated for future wireless healthcare and telemedicine ...
Ask the Experts by Category. Core Q&As. All Cores · Clinical Core · MRI Core · PET Core · Coordinating Center · Data Sharing and Publications Committee ...
ValidPath: Whole Slide Image Processing and Machine Learning ...
The Whole Slide Image Processing and Performance Assessment Tool contains three main modules that (1) accept WSIs to generate image patches for AI/ML models, (2) ...
NeuroImage - UCL Discovery - University College London
”, “What would the ideal phantom for validation fiber tractography look like? ... on a clinical scanner using anisotropic fiber phantoms.
Experimental Validation of a Log File-Based Dose Reconstruction ...
... 1%-. 99%) excluding couch shifts and deep inspirations. ... files from the 4D dose reconstructions using a 4DCT of the phantom, ... additional margins used in ...
An Investigation of Lesion Detection Accuracy for Artificial ...
1 was used for the clinical statistical analysis. For comparison ... clinical validation when assessing the performance of AI algorithms.
Enhancer prediction in the human genome by probabilistic modeling ...
Supplementary Figures S9 and S10, Additional File 1, shows the validation rates in cell line GM12878. ... However, deeper sequencing brings ...
Deep Image Prior for medical image denoising, a study about ...
In addition to this validation step, from Table 1 we identified ... In Figure 12 we can see a table similar to the previous one for the phantom.