Articles

Artificial Intelligence and Informatics - Original Article

Application of deep learning and radiomics in the prediction of hematoma expansion in intracerebral hemorrhage: a fully automated hybrid approach

Mengtian Lu
Yaqi Wang
Jiaqiang Tian
Haifeng Feng

Diagn Interv Radiol 0; 0: 0-0 [e-Pub] DOI: 10.4274/dir.2024.222088 PMID:38654561

Prediction of osteoporosis using MRI and CT scans with unimodal and multimodal deep-learning models

Yasemin Küçükçiloğlu
Boran Şekeroğlu
Terin Adalı
Niyazi Şentürk

Diagn Interv Radiol 2024; 30: 9-20 DOI: 10.4274/dir.2023.232116 PMID:37309886

Determination of disease severity in COVID-19 patients using deep learning in chest X-ray images

Maxime Blain
Michael T. Kassin
Nicole Varble
Xiaosong Wang
Ziyue Xu
Daguang Xu
Gianpaolo Carrafiello
Valentina Vespro
Elvira Stellato
Anna Maria Ierardi
Letizia Di Meglio
Robert D. Suh
Stephanie A. Walker
Sheng Xu
Thomas H. Sanford
Evrim B. Turkbey
Stephanie Harmon
Baris Turkbey
Bradford J. Wood

Diagn Interv Radiol 2021; 27: 20-27 DOI: 10.5152/dir.2020.20205

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

Satomu Hanamatsu
Kazuhiro Murayama
Yoshiharu Ohno
Kaori Yamamoto
Masao Yui
Hiroshi Toyama

Diagn Interv Radiol 2023; 29: 664-673 DOI: 10.4274/dir.2023.232149 PMID:37554957

Abdominal Imaging - Original Article

Comparison of semi-automatic and deep learning-based automatic methods for liver segmentation in living liver transplant donors

A. Emre Kavur
Naciye Sinem Gezer
Mustafa Barış
Yusuf Şahin
Savaş Özkan
Bora Baydar
Ulaş Yüksel
Çağlar Kılıkçıer
Şahin Olut
Gözde Bozdağı Akar
Gözde Ünal
Oğuz Dicle
M. Alper Selver

Diagn Interv Radiol 2020; 26: 11-21 DOI: 10.5152/dir.2019.19025

LAVA HyperSense and deep-learning reconstruction for near-isotropic (3D) enhanced magnetic resonance enterography in patients with Crohn’s disease: utility in noise reduction and image quality improvement

Jung Hee Son
Yedaun Lee
Ho-Joon Lee
Joonsung Lee
Hyunwoong Kim
Marc R. Lebel

Diagn Interv Radiol 2023; 29: 437-449 DOI: 10.4274/dir.2023.232113 PMID:37098650

Artificial Intelligence and Informatics - Review

Artificial intelligence in diagnostic ultrasonography

Oğuz Dicle

Diagn Interv Radiol 2023; 29: 40-45 DOI: 10.4274/dir.2022.211260 PMID:36959754

Large language models in radiology: fundamentals, applications, ethical considerations, risks, and future directions

Tugba Akinci D’Antonoli
Arnaldo Stanzione
Christian Bluethgen
Federica Vernuccio
Lorenzo Ugga
Michail E. Klontzas
Renato Cuocolo
Roberto Cannella
Burak Koçak

Diagn Interv Radiol 2024; 30: 80-90 DOI: 10.4274/dir.2023.232417 PMID:37789676

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