268 results
Search Results
202. Kurtosis is An MRI Radiomics Feature Predictor of Poor Prognosis in Patients with GBM
203. A CUDA-powered method for the feature extraction and unsupervised analysis of medical images
204. Radiomics of hepatocellular carcinoma: promising roles in patient selection, prediction, and assessment of treatment response
205. A radiomic-based model of different contrast-enhanced CT phase for differentiate intrahepatic cholangiocarcinoma from inflammatory mass with hepatolithiasis
206. MRI-Based Radiomics: Nomograms predicting the short-term response after transcatheter arterial chemoembolization (TACE) in hepatocellular carcinoma patients with diameter less than 5 cm
207. A radiomic nomogram based on arterial phase of CT for differential diagnosis of ovarian cancer
208. Radiomics and radiogenomics in ovarian cancer: a literature review
209. Quantitative mapping of individual voxels in the peritumoral region of IDH-wildtype glioblastoma to distinguish between tumor infiltration and edema
210. A radiomics nomogram for predicting transcatheter arterial chemoembolization refractoriness of hepatocellular carcinoma without extrahepatic metastasis or macrovascular invasion
211. Diagnostic value of radiomics and machine learning with dynamic contrast-enhanced magnetic resonance imaging for patients with atypical ductal hyperplasia in predicting malignant upgrade
212. Preoperative differentiation of serous cystic neoplasms from mucin-producing pancreatic cystic neoplasms using a CT-based radiomics nomogram
213. CT-based radiomics for differentiating renal tumours: a systematic review
214. Development and validation of an MRI-based radiomic nomogram to distinguish between good and poor responders in patients with locally advanced rectal cancer undergoing neoadjuvant chemoradiotherapy
215. Prediction of burden and management of renal calculi from whole kidney radiomics: a multicenter study
216. Pretreatment MR-based radiomics nomogram as potential imaging biomarker for individualized assessment of perineural invasion status in rectal cancer
217. High-resolution MRI-based radiomics analysis to predict lymph node metastasis and tumor deposits respectively in rectal cancer
218. Magnetic resonance imaging radiomic analysis can preoperatively predict G1 and G2/3 grades in patients with NF-pNETs
219. Radiomics of hepatocellular carcinoma
220. A radiomics machine learning-based redefining score robustly identifies clinically significant prostate cancer in equivocal PI-RADS score 3 lesions
221. Radiomics in Hepatocellular Carcinoma
222. Radiomics model predicts granulation pattern in growth hormone-secreting pituitary adenomas
223. Using texture analysis as a predictive factor of subtype, grade and stage of renal cell carcinoma
224. Association of tumor grade, enhancement on multiphasic CT and microvessel density in patients with clear cell renal cell carcinoma
225. Value of radiomics in differential diagnosis of chromophobe renal cell carcinoma and renal oncocytoma
226. Characterization of solid renal neoplasms using MRI-based quantitative radiomics features
227. Texture Features of Magnetic Resonance Images: an Early Marker of Post-stroke Cognitive Impairment
228. Prediction of Response to Neoadjuvant Chemoradiotherapy by MRI-Based Machine Learning Texture Analysis in Rectal Cancer Patients
229. Pancreatic magnetic resonance imaging texture analysis in chronic pancreatitis: a feasibility and validation study
230. Emerging imaging techniques for acute pancreatitis
231. Diagnostic accuracy of unenhanced CT texture analysis to differentiate mass-forming pancreatitis from pancreatic ductal adenocarcinoma
232. Multiparametric Imaging for the Locoregional Follow-up of Rectal Cancer
233. Multiparametric radiomics methods for breast cancer tissue characterization using radiological imaging
234. Radiomics performs comparable to morphologic assessment by expert radiologists for prediction of response to neoadjuvant chemoradiotherapy on baseline staging MRI in rectal cancer
235. Performance of CT-based radiomics in diagnosis of superior mesenteric vein resection margin in patients with pancreatic head cancer
236. Evaluation of Feature Robustness Against Technical Parameters in CT Radiomics: Verification of Phantom Study with Patient Dataset
237. Radiomics as prognostic factor in brain metastases treated with Gamma Knife radiosurgery
238. State-of-the-art in radiomics of hepatocellular carcinoma: a review of basic principles, applications, and limitations
239. Prognostic and predictive value of radiomics features at MRI in nasopharyngeal carcinoma
240. CT Texture Analysis and Machine Learning Improve Post-ablation Prognostication in Patients with Adrenal Metastases: A Proof of Concept
241. Challenges and Promises of Radiomics for Rectal Cancer
242. Novel imaging techniques of rectal cancer: what do radiomics and radiogenomics have to offer? A literature review
243. Role of MR texture analysis in histological subtyping and grading of renal cell carcinoma: a preliminary study
244. Radiomics and radiogenomics of prostate cancer
245. Deep learning and radiomics: the utility of Google TensorFlow™ Inception in classifying clear cell renal cell carcinoma and oncocytoma on multiphasic CT
246. Radiogenomics: bridging imaging and genomics
247. Association between CT-texture-derived tumor heterogeneity, outcomes, and BRCA mutation status in patients with high-grade serous ovarian cancer
248. Radiomics in esophageal and gastric cancer
249. Are we at a crossroads or a plateau? Radiomics and machine learning in abdominal oncology imaging
250. Juxtatumoral perinephric fat analysis in clear cell renal cell carcinoma
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