Articles

Artificial Intelligence and Informatics - Original Article

Influence of image preprocessing on the segmentation-based reproducibility of radiomic features: in vivo experiments on discretization and resampling parameters

Burak Koçak
Sabahattin Yüzkan
Samet Mutlu
Mehmet Karagülle
Ahmet Kala
Mehmet Kadıoğlu
Sıla Solak
Şeyma Sunman
Zişan Hayriye Temiz
Ali Kürşad Ganiyusufoğlu

Diagn Interv Radiol 0; 0: 0-0 [e-Pub] DOI: 10.4274/dir.2023.232543 PMID:38073244

Cystic renal mass screening: machine-learning-based radiomics on unenhanced computed tomography

Lesheng Huang
Yongsong Ye
Jun Chen
Wenhui Feng
Se Peng
Xiaohua Du
Xiaodan Li
Zhixuan Song
Tianzhu Liu

Diagn Interv Radiol 0; 0: 0-0 [e-Pub] DOI: 10.4274/dir.2023.232386 PMID:38164893

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

Multi-parametric MRI-based peritumoral radiomics on prediction of lymph-vascular space invasion in early-stage cervical cancer

Linpeng Cui
Tao Yu
Yangyang Kan
Yue Dong
Yahong Luo
Xiran Jiang

Diagn Interv Radiol 2022; 28: 312-321 DOI: 10.5152/dir.2022.20657

Prediction of carcinogenic human papillomavirus types in cervical cancer from multiparametric magnetic resonance images with machine learning-based radiomics models

Okan İnce
Emre Uysal
Görkem Durak
Suzan Önol
Binnur Dönmez Yılmaz
Şükrü Mehmet Ertürk
Hakan Önder

Diagn Interv Radiol 2023; 29: 460-468 DOI: 10.4274/dir.2022.221335 PMID:36994859

Application of radiomics in predicting the preoperative risk stratification of gastric stromal tumors

Li Yang
Chong-Fei Ma
Yang Li
Chun-Ran Zhang
Jia-Liang Ren
Gao-Feng Shi

Diagn Interv Radiol 2022; 28: 532-539 DOI: 10.5152/dir.2022.21033

Abdominal Imaging - Original Article

A radiomics nomogram for preoperative prediction of microvascular invasion risk in hepatitis B virus-related hepatocellular carcinoma

Jie Peng
Jing Zhang
Qifan Zhang
Yikai Xu
Jie Zhou
Li Liu

Diagn Interv Radiol 2018; 24: 121-127 DOI: 10.5152/dir.2018.17467

Differentiation of adrenal adenomas from adrenal metastases in single-phased staging dual-energy CT and radiomics

Moritz T. Winkelmann
Sebastian Gassenmaier
Sven S. Walter
Christoph Artzner
Felix Lades
Sebastian Faby
Konstantin Nikolaou
Malte N. Bongers

Diagn Interv Radiol 2022; 28: 208-216 DOI: 10.5152/dir.2022.21691

Radiomics signature as a new biomarker for preoperative prediction of neoadjuvant chemoradiotherapy response in locally advanced rectal cancer

Zhaohe Zhang
Xiran Jiang
Rui Zhang
Tao Yu
Shanshan Liu
Yahong Luo

Diagn Interv Radiol 2021; 27: 308-314 DOI: 10.5152/dir.2021.19677

Radiomics-based nomogram using CT imaging for noninvasive preoperative prediction of early recurrence in patients with hepatocellular carcinoma

Hong-Bo Zhu
Ze-Yu Zheng
Heng Zhao
Jing Zhang
Hong Zhu
Yue-Hua Li
Zhong-Yi Dong
Lu-Shan Xiao
Jun-Jie Kuang
Xiao-Li Zhang
Li Liu

Diagn Interv Radiol 2020; 26: 411-419 DOI: 10.5152/dir.2020.19623

Breast Imaging - Original Article

Digital breast tomosynthesis-based peritumoral radiomics approaches in the differentiation of benign and malignant breast lesions

Shuxian Niu
Tao Yu
Yan Cao
Yue Dong
Yahong Luo
Xiran Jiang

Diagn Interv Radiol 2022; 28: 217-225 DOI: 10.5152/dir.2022.20664

Artificial Intelligence - Original Article

Radiomics signature for predicting postoperative disease-free survival of patients with gastric cancer: development and validation of a predictive nomogram

Shuguang Shi
Zhongchang Miao
Ying Zhou
Chunling Xu
Xue Zhang

Diagn Interv Radiol 2022; 28: 441-449 DOI: 10.5152/dir.2022.211034

Artificial Intelligence and Informatics - Review

Key concepts, common pitfalls, and best practices in artificial intelligence and machine learning: focus on radiomics

Burak Koçak

Diagn Interv Radiol 2022; 28: 450-462 DOI: 10.5152/dir.2022.211297

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