Results 11 to 20 of about 129,940 (303)

Validation of deep learning-based CT image reconstruction for treatment planning

Scientific Reports, 2023
Deep learning-based CT image reconstruction (DLR) is a state-of-the-art method for obtaining CT images. This study aimed to evaluate the usefulness of DLR in radiotherapy.
Keisuke Yasui, Yasunori Saito, Azumi Ito, Momoka Douwaki, Shuta Ogawa, Yuri Kasugai, Hiromu Ooe, Yuya Nagake, Naoki Hayashi   +8 more
doaj   +1 more source

Radiation pneumonitis prediction after stereotactic body radiation therapy based on 3D dose distribution: dosiomics and/or deep learning-based radiomics features

Radiation Oncology, 2022
Background This study was designed to establish radiation pneumonitis (RP) prediction models using dosiomics and/or deep learning-based radiomics (DLR) features based on 3D dose distribution.
Ying Huang, Aihui Feng, Yang Lin, Hengle Gu, Hua Chen, Hao Wang, Yan Shao, Yanhua Duan, Weihai Zhuo, Zhiyong Xu   +9 more
doaj   +1 more source

Deep-Learning Radiomics for Discrimination Conversion of Alzheimer's Disease in Patients With Mild Cognitive Impairment: A Study Based on 18F-FDG PET Imaging

Frontiers in Aging Neuroscience, 2021
Objectives: Alzheimer's disease (AD) is the most prevalent neurodegenerative disorder and the most common form of dementia in the older people. Some types of mild cognitive impairment (MCI) are the clinical precursors of AD, while other MCI forms tend to
Ping Zhou, Rong Zeng, Lun Yu, Yabo Feng, Chuxin Chen, Fang Li, Yang Liu, Yanhui Huang, Zhongxiong Huang, the Alzheimer's Disease Neuroimaging Initiative   +9 more
doaj   +1 more source

Prediction of 5-year progression-free survival in advanced nasopharyngeal carcinoma with pretreatment PET/CT using multi-modality deep learning-based radiomics

Frontiers in Oncology, 2022
ObjectiveDeep learning-based radiomics (DLR) has achieved great success in medical image analysis and has been considered a replacement for conventional radiomics that relies on handcrafted features.
Bingxin Gu, Bingxin Gu, Bingxin Gu, Bingxin Gu, Bingxin Gu, Mingyuan Meng, Lei Bi, Jinman Kim, David Dagan Feng, Shaoli Song, Shaoli Song, Shaoli Song, Shaoli Song, Shaoli Song, Shaoli Song   +14 more
doaj   +1 more source

Impact of Deep-Learning Based Reconstruction on Single-Breath-Hold, Single-Shot Fast Spin-Echo in MR Enterography for Crohn’s Disease

Journal of the Korean Society of Radiology, 2023
Purpose To assess the quality of four images obtained using single-breath-hold (SBH), single-shot fast spin-echo (SSFSE) and multiple-breath-hold (MBH) SSFSE with and without deep-learning based reconstruction (DLR) in patients with Crohn’s disease ...
Eun Joo Park, Yedaun Lee, Joonsung Lee
doaj   +1 more source

Deep learning reconstruction for brain diffusion-weighted imaging: efficacy for image quality improvement, apparent diffusion coefficient assessment, and intravoxel incoherent motion evaluation in in vitro and in vivo studies

Diagnostic and Interventional Radiology, 2023
PURPOSEDeep learning reconstruction (DLR) to improve imaging quality has already been introduced, but no studies have evaluated the effect of DLR on diffusion-weighted imaging (DWI) or intravoxel incoherent motion (IVIM) in in vitro or in vivo studies ...
Satomu Hanamatsu, Kazuhiro Murayama, Yoshiharu Ohno, Kaori Yamamoto, Masao Yui, Hiroshi Toyama   +5 more
doaj   +1 more source

Toward the Estimation of All-Weather Daytime Downward Longwave Radiation over the Tibetan Plateau

Atmosphere, 2021
Downward longwave radiation (DLR) is a critical parameter for radiation balance, energy budget, and water cycle studies at regional and global scales.
Zhiyong Long, Lirong Ding, Ji Zhou, Tianhao Zhou   +3 more
doaj   +1 more source

Stark points and Hida-Rankin p-adic L-function [PDF]

, 2018
This article is devoted to the elliptic Stark conjecture formulated by Darmon, Lauder and Rotger [DLR], which proposes a formula for the transcendental part of a $p$-adic avatar of the leading term at $s=1$ of the Hasse-Weil-Artin $L$-series $L(E ...
Casazza, Daniele, Rotger, Victor
core   +3 more sources

Admission D-dimer to lymphocyte counts ratio as a novel biomarker for predicting the in-hospital mortality in patients with acute aortic dissection

BMC Cardiovascular Disorders, 2023
Background Inflammatory factors are well-established indicators for vascular disease, but the D-dimer to lymphocyte count ratio (DLR) is not measured in routine clinical care.
Yansong Xu, Silei Liang, Zheng Liang, Cuiqing Huang, Yihuan Luo, Guanbiao Liang, Wei Wang   +6 more
doaj   +1 more source

Application of deep learning reconstruction of ultra-low-dose abdominal CT in the diagnosis of renal calculi

Insights into Imaging, 2022
Background Renal calculi are a common and recurrent urological disease and are usually detected by CT. In this study, we evaluated the diagnostic capability, image quality, and radiation dose of abdominal ultra-low-dose CT (ULDCT) with deep learning ...
Xiaoxiao Zhang, Gumuyang Zhang, Lili Xu, Xin Bai, Jiahui Zhang, Min Xu, Jing Yan, Daming Zhang, Zhengyu Jin, Hao Sun   +9 more
doaj   +1 more source