과제정보
연구 과제 주관 기관 : National Research Foundation of Korea (NRF), Seoul National University Hospital
참고문헌
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피인용 문헌
- Texture features on T2-weighted magnetic resonance imaging: new potential biomarkers for prostate cancer aggressiveness vol.60, pp.7, 2014, https://doi.org/10.1088/0031-9155/60/7/2685
- Progress in the clinical detection of heterogeneity in breast cancer vol.5, pp.12, 2014, https://doi.org/10.1002/cam4.943
- Free-breathing 3D diffusion MRI for high-resolution hepatic metastasis characterization in small animals vol.33, pp.2, 2016, https://doi.org/10.1007/s10585-015-9766-6
- Hyaluronan-conjugated liposomes encapsulating gemcitabine for breast cancer stem cells vol.11, pp.None, 2014, https://doi.org/10.2147/ijn.s95850
- Temporal Changes of Texture Features Extracted From Pulmonary Nodules on Dynamic Contrast-Enhanced Chest Computed Tomography: How Influential Is the Scan Delay? vol.51, pp.9, 2016, https://doi.org/10.1097/rli.0000000000000267
- Biomarkers from in vivo molecular imaging of breast cancer: pretreatment 18 F-FDG PET predicts patient prognosis, and pretreatment DWI-MR predicts response to neoadjuvant chemotherapy vol.30, pp.4, 2014, https://doi.org/10.1007/s10334-017-0610-7
- Texture Analysis of Torn Rotator Cuff on Preoperative Magnetic Resonance Arthrography as a Predictor of Postoperative Tendon Status vol.18, pp.4, 2014, https://doi.org/10.3348/kjr.2017.18.4.691
- Selection and Reporting of Statistical Methods to Assess Reliability of a Diagnostic Test: Conformity to Recommended Methods in a Peer-Reviewed Journal vol.18, pp.6, 2017, https://doi.org/10.3348/kjr.2017.18.6.888
- Differentiation of malignant and benign breast lesions: Added value of the qualitative analysis of breast lesions on diffusion-weighted imaging (DWI) using readout-segmented echo-planar imaging at 3.0 vol.12, pp.3, 2014, https://doi.org/10.1371/journal.pone.0174681
- MRI texture analysis in differentiating luminal A and luminal B breast cancer molecular subtypes - a feasibility study vol.17, pp.None, 2014, https://doi.org/10.1186/s12880-017-0239-z
- Could texture features from preoperative CT image be used for predicting occult peritoneal carcinomatosis in patients with advanced gastric cancer? vol.13, pp.3, 2014, https://doi.org/10.1371/journal.pone.0194755
- An MRI-based Radiomics Classifier for Preoperative Prediction of Ki-67 Status in Breast Cancer vol.25, pp.9, 2018, https://doi.org/10.1016/j.acra.2018.01.006
- Quantitative imaging of cancer in the postgenomic era: Radio(geno)mics, deep learning, and habitats vol.124, pp.24, 2014, https://doi.org/10.1002/cncr.31630
- Evaluation of the Impact of Iterative Reconstruction Algorithms on Computed Tomography Texture Features of the Liver Parenchyma Using the Filtration-Histogram Method vol.20, pp.4, 2014, https://doi.org/10.3348/kjr.2018.0368
- Predicting neo‐adjuvant chemotherapy response and progression‐free survival of locally advanced breast cancer using textural features of intratumoral heterogeneity on F‐18 FDG PET/CT vol.25, pp.3, 2014, https://doi.org/10.1111/tbj.13032
- Spatial heterogeneity of oxygenation and haemodynamics in breast cancer resolved in vivo by conical multispectral optoacoustic mesoscopy vol.9, pp.1, 2020, https://doi.org/10.1038/s41377-020-0295-y
- Is the standard deviation of the apparent diffusion coefficient a potential tool for the preoperative prediction of tumor grade in endometrial cancer? vol.61, pp.12, 2020, https://doi.org/10.1177/0284185120915596