272 results
Search Results
2. Exploring the potential of Radiomics in identification and treatment of lung cancer: A systematic evaluation
3. Automated Lesion and Feature Extraction Pipeline for Brain MRIs with Interpretability
4. Radiomics Based Diagnosis with Medical Imaging: A Comprehensive Study
5. Leveraging radiomics and machine learning to differentiate radiation necrosis from recurrence in patients with brain metastases
6. Radiomics approach with deep learning for predicting T4 obstructive colorectal cancer using CT image
7. Advanced imaging techniques for neuro-oncologic tumor diagnosis, with an emphasis on PET-MRI imaging of malignant brain tumors
8. Spectral CT radiomics features of the tumor and perigastric adipose tissue can predict lymph node metastasis in gastric cancer
9. Multi-parametric MRI combined with radiomics for the diagnosis and grading of endometrial fibrosis
10. CT-based machine learning radiomics predicts Ki-67 expression level and its relationship with overall survival in resectable pancreatic ductal adenocarcinoma
11. A novel MRI-based radiomics for preoperative prediction of lymphovascular invasion in rectal cancer
12. Predicting Survival and Recurrence of Lung Ablation Patients Using Deep Learning-Based Automatic Segmentation and Radiomics Analysis: H. A. Zaki et al.: Predicting Survival and Recurrence of Lung Ablation Patients...
13. Study of prediction model for high-grade meningioma using fractal geometry combined with radiological features
14. A 18F-FDG PET/CT based radiomics nomogram for predicting disease-free survival in stage II/III colorectal adenocarcinoma
15. Radiomics combined with clinical and MRI features may provide preoperative evaluation of suboptimal debulking surgery for serous ovarian carcinoma
16. Precise vesical wall staging of bladder cancer in the era of precision medicine: has it been fulfilled?
17. A multimodal deep-learning model based on multichannel CT radiomics for predicting pathological grade of bladder cancer
18. Prediction of mucinous adenocarcinoma in colorectal cancer with mucinous components detected in preoperative biopsy diagnosis
19. Ultrasound-based radiomics to predict the volume reduction rate of benign thyroid nodules after microwave ablation
20. Impact of multi-parameter images obtained from dual-energy CT on radiomics to predict pathological grading of bladder urothelial carcinoma
21. Textural heterogeneity of liver lesions in CT imaging - comparison of colorectal and pancreatic metastases
22. Development of a non-invasive diagnostic model for high-risk esophageal varices based on radiomics of spleen CT
23. Pre-operative prediction of histopathological growth patterns of colorectal cancer liver metastasis using MRI-based radiomic models
24. Current Trends and Developments in Radiologic Assessment of Chronic Pancreatitis
25. Radiomics-based automated machine learning for differentiating focal liver lesions on unenhanced computed tomography
26. Insights into radiomics: impact of feature selection and classification
27. Dynamic changes of radiological and radiomics patterns based on MRI in viable hepatocellular carcinoma after transarterial chemoembolization
28. Role of tumor-specific and whole-body imaging biomarkers for prediction of recurrence in patients with stage III colorectal cancer
29. Creation of a Prediction Model of Local Tumor Recurrence After a Successful Conventional Transcatheter Arterial Chemoembolization Using Cone-Beam Computed Tomography Based–Radiomics
30. Current and Emerging Applications of Artificial Intelligence (AI) in the Management of Pancreatobiliary (PB) disorders
31. Impact of virtual monochromatic images of different low-energy levels in dual-energy CT on radiomics models for predicting muscle invasion in bladder cancer
32. Both intra- and peri-tumoral radiomics signatures can be used to predict lymphatic vascular space invasion and lymphatic metastasis positive status from endometrial cancer MR imaging
33. Radiomic analysis based on magnetic resonance imaging for the prediction of VEGF expression in hepatocellular carcinoma patients
34. CT-based radiomic analysis for categorization of ovarian sex cord-stromal tumors and epithelial ovarian cancers
35. CT radiomics signature: a potential biomarker for fibroblast activation protein expression in patients with pancreatic ductal adenocarcinoma
36. MRI-based radiomics model for predicting endometrial cancer with high tumor mutation burden
37. Radiogenomics as an Integrated Approach to Glioblastoma Precision Medicine
38. Role of radiomics as a predictor of disease recurrence in ovarian cancer: a systematic review
39. Characterization of renal masses with MRI-based radiomics: assessment of inter-package and inter-observer reproducibility in a prospective pilot study
40. End-to-end [18F]PSMA-1007 PET/CT radiomics-based pipeline for predicting ISUP grade group in prostate cancer
41. Radiomics to predict PNI in ESCC
42. Preoperative identification of small metastatic lymph nodes in esophageal squamous cell carcinoma using CT radiomics of lymph nodes
43. Automated abdominal organ segmentation algorithms for non-enhanced CT for volumetry and 3D radiomics analysis
44. Multiparametric MRI-based radiomics combined with 3D deep transfer learning to predict cervical stromal invasion in patients with endometrial carcinoma
45. Bi-phase CT radiomics nomogram for the preoperative prediction of pylorus lymph node metastasis in non-pyloric gastric cancer patients
46. Can Pretreatment MRI and Planning CT Radiomics Improve Prediction of Complete Pathological Response in Locally Advanced Rectal Cancer Following Neoadjuvant Treatment?
47. Interpretable multiphasic CT-based radiomic analysis for preoperatively differentiating benign and malignant solid renal tumors: a multicenter study
48. Noninvasive identification of SOX9 status using radiomics signatures may help construct personalized treatment strategy in hepatocellular carcinoma
49. Multiparametric MRI-based radiomics nomogram for differentiation of primary mucinous ovarian cancer from metastatic ovarian cancer
50. Baseline hepatobiliary MRI for predicting chemotherapeutic response and prognosis in initially unresectable colorectal cancer liver metastases
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