Additional file 1 of Clinical and phantom validation of a deep ...

Clinical and phantom validation of a deep learning based denoising ...

... patients, SubtlePET provides good image quality restoration as shown in Additional file 1: Fig. S10). The reason for this can be attributed ...

Additional file 1 of Clinical and phantom validation of a deep learning based denoising algorithm for F-18-FDG PET images from lower detection counting in ...

Clinical and phantom validation of a deep learning based denoising ...

Additional file 1 Figure S10 – Examples of MIP attenuation corrected PET images reconstructed with PET100, PET50, PET33, PET50+SP and PET33+SP ...

Clinical and phantom validation of a deep learning based denoising ...

tlePET (named PET50 + SP and PET33 + SP). Table 1 Clinical acquisition and reconstruction set-up for the 3 PET devices. DMI4 D710 IQ4.

Clinical and phantom validation of a deep learning based denoising ...

Clinical and phantom validation of a deep learning based denoising algorithm for F-18-FDG PET images from lower detection counting in comparison with the ...

CheckList for EvaluAtion of Radiomics research (CLEAR): a step-by ...

... phantom studies in clinical practice, even in a prospective setting. ... Additional file 1. Text S1: Methods and results. Figure S1 ...

Clinical validation of a commercially available deep learning ...

Deep learning differs from the other sCT methods since it ... patients can be found in the supplementary material (Additional file 1: Figs.

Clinical validation of deep learning algorithms for radiotherapy ...

We focused on articles in English using medical imaging from Jan 1, 2014, to April 1, 2020. Our search identified 1383 articles. Within the same search, we also ...

Artificial intelligence-based PET denoising could allow a two-fold ...

Clinical and phantom validation of a deep learning based denoising ... Many other concordant malignant lesions were detected in all but one of ...

The reliability of a deep learning model in clinical out-of-distribution ...

Further, by including data from a wider range of scanners and protocols the performance improved in OOD data, which suggests that more heterogeneous training ...

Development and performance evaluation of a deep learning lung ...

Details on each validation dataset are given in Additional file 4: Table S1. ... Additional file 1: Fig. S1 shows examples of true positives (TPs) ...

(PDF) Clinical validation of a commercially available deep learning ...

Deep learning differs from the other sCT methods ... Geometric distortion Phantom ... patients can be found in the supplementary material (Additional file 1: Figs.

Reduction of SPECT acquisition time using deep learning

Validation using Jaszczak phantom projection ... Supplementary materials (1). Document (1.52 MB). Supplementary data 1. Related Articles.

Physical and digital phantoms for validating tractography and ...

In its current release, the physical phantom has 2 disks: one ... Medical Imaging with Deep Learning, PMLR (2020), pp. 75-93. Presented ...

(PDF) Applicability test for reducing noise on PET dynamic images ...

Applicability test for reducing noise on PET dynamic images using phantom applying deep image prior ... All data and additional file are available upon ...

Where do we stand in AI for endoscopic image analysis ... - Nature

Table 1 Deep learning for computer-aided gastrointestinal ... additional file during submission. References. de Groof, A. J. et al ...

Deep learning for neuroimaging: a validation study - Frontiers

1. Introduction. One of the main goals of brain imaging and neuroscience—and, possibly, of most natural sciences—is to improve understanding of the investigated ...

Construction and validation of an infant chest phantom for paediatric ...

A more detailed description of each phantom slice is given in Table 1. ... The addition of patient arms is of clinical relevance for paediatric ...

Preparing Medical Imaging Data for Machine Learning | Radiology

Besides DICOM files, which contain metadata and image slices, other file types are also available. AI development with raw MRI or CT data ( ...

Clinical and phantom validation of a deep learning based denoising ...

Dutta J, Leahy RM, Li Q. Non-local means denoising of dynamic PET images. PLoS ONE. 2013;8:e81390. https://doi.org/10.1371/journal ...