4.6 Article

Simulation Study of Low-Dose Sparse-Sampling CT with Deep Learning-Based Reconstruction: Usefulness for Evaluation of Ovarian Cancer Metastasis

Related references

Note: Only part of the references are listed.
Article Oncology

Exposure to Tomographic Scans and Cancer Risks

Yu-Hsuan Shao et al.

JNCI CANCER SPECTRUM (2020)

Article Radiology, Nuclear Medicine & Medical Imaging

Deep learning-based image restoration algorithm for coronary CT angiography

Fuminari Tatsugami et al.

EUROPEAN RADIOLOGY (2019)

Article Radiology, Nuclear Medicine & Medical Imaging

Deep learning reconstruction improves image quality of abdominal ultra-high-resolution CT

Motonori Akagi et al.

EUROPEAN RADIOLOGY (2019)

Article Radiology, Nuclear Medicine & Medical Imaging

The evolution of image reconstruction for CTfrom filtered back projection to artificial intelligence

Martin J. Willemink et al.

EUROPEAN RADIOLOGY (2019)

Article Oncology

Estimating the global cancer incidence and mortality in 2018: GLOBOCAN sources and methods

J. Ferlay et al.

INTERNATIONAL JOURNAL OF CANCER (2019)

Article Radiology, Nuclear Medicine & Medical Imaging

Cycle-consistent adversarial denoising network for multiphase coronary CT angiography

Eunhee Kang et al.

MEDICAL PHYSICS (2019)

Article Computer Science, Artificial Intelligence

Deep Learning-based CT Image Reconstruction: Initial Evaluation Targeting Hypovascular Hepatic Metastases

Yuko Nakamura et al.

RADIOLOGY-ARTIFICIAL INTELLIGENCE (2019)

Article Oncology

Ovarian Yolk Sac Tumors; Does Age Matter?

Cecile Faure Conter et al.

INTERNATIONAL JOURNAL OF GYNECOLOGICAL CANCER (2018)

Article Computer Science, Interdisciplinary Applications

Framing U-Net via Deep Convolutional Framelets: Application to Sparse-View CT

Yoseob Han et al.

IEEE TRANSACTIONS ON MEDICAL IMAGING (2018)

Article Radiology, Nuclear Medicine & Medical Imaging

Multidetector Computed Tomography Imaging: Effect of Sparse Sampling and Iterative Reconstruction on Trabecular Bone Microstructure

Muthu Rama Krishnan Mookiah et al.

JOURNAL OF COMPUTER ASSISTED TOMOGRAPHY (2018)

Article Computer Science, Artificial Intelligence

Deep Convolutional Neural Network for Inverse Problems in Imaging

Kyong Hwan Jin et al.

IEEE TRANSACTIONS ON IMAGE PROCESSING (2017)

Article Computer Science, Interdisciplinary Applications

Low-Dose CT With a Residual Encoder-Decoder Convolutional Neural Network

Hu Chen et al.

IEEE TRANSACTIONS ON MEDICAL IMAGING (2017)

Article Computer Science, Interdisciplinary Applications

Generative Adversarial Networks for Noise Reduction in Low-Dose CT

Jelmer M. Wolterink et al.

IEEE TRANSACTIONS ON MEDICAL IMAGING (2017)

Article Radiology, Nuclear Medicine & Medical Imaging

A deep convolutional neural network using directional wavelets for low-dose X-ray CT reconstruction

Eunhee Kang et al.

MEDICAL PHYSICS (2017)

Article Multidisciplinary Sciences

Convolutional auto-encoder for image denoising of ultra-low-dose CT

Mizuho Nishio et al.

HELIYON (2017)

Article Obstetrics & Gynecology

Epidemiology of epithelial ovarian cancer

Penelope M. Webb et al.

BEST PRACTICE & RESEARCH CLINICAL OBSTETRICS & GYNAECOLOGY (2017)

Article Optics

Fast and flexible X-ray tomography using the ASTRA toolbox

Wim van Aarle et al.

OPTICS EXPRESS (2016)

Editorial Material Oncology

2014 FIGO staging for ovarian, fallopian tube and peritoneal cancer Clinical comment

David G. Mutch et al.

GYNECOLOGIC ONCOLOGY (2014)

Article Radiology, Nuclear Medicine & Medical Imaging

The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository

Kenneth Clark et al.

JOURNAL OF DIGITAL IMAGING (2013)

Article Engineering, Biomedical

Bone-induced streak artifact suppression in sparse-view CT image reconstruction

Seung Oh Jin et al.

BIOMEDICAL ENGINEERING ONLINE (2012)

Article Radiology, Nuclear Medicine & Medical Imaging

3D Slicer as an image computing platform for the Quantitative Imaging Network

Andriy Fedorov et al.

MAGNETIC RESONANCE IMAGING (2012)

Article Radiology, Nuclear Medicine & Medical Imaging

Ovarian Carcinomatosis: How the Radiologist Can Help Plan the Surgical Approach

Stephanie Nougaret et al.

RADIOGRAPHICS (2012)

Article Oncology

New response evaluation criteria in solid tumours: Revised RECIST guideline (version 1.1)

E. A. Eisenhauer et al.

EUROPEAN JOURNAL OF CANCER (2009)

Article Computer Science, Artificial Intelligence

Image quality assessment: From error visibility to structural similarity

Z Wang et al.

IEEE TRANSACTIONS ON IMAGE PROCESSING (2004)