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E-ISSN:1305-3612
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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
Abstract
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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
Abstract
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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
Abstract
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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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