381 results on '"Wee, Leonard"'
Search Results
2. A distributed feature selection pipeline for survival analysis using radiomics in non-small cell lung cancer patients
3. A PET/CT radiomics model for predicting distant metastasis in early-stage non–small cell lung cancer patients treated with stereotactic body radiotherapy: a multicentric study
4. External Validation of Robust Radiomic Signature to Predict 2-Year Overall Survival in Non-Small-Cell Lung Cancer
5. Lung-Originated Tumor Segmentation from Computed Tomography Scan (LOTUS) Benchmark
6. Improving Reproducibility and Performance of Radiomics in Low Dose CT using Cycle GANs
7. Generative Models Improve Radiomics Performance in Different Tasks and Different Datasets: An Experimental Study
8. Image based prognosis in head and neck cancer using convolutional neural networks: a case study in reproducibility and optimization
9. Generative Models Improve Radiomics Reproducibility in Low Dose CTs: A Simulation Study
10. Lung Cancer Diagnosis Using Deep Attention Based on Multiple Instance Learning and Radiomics
11. Clinical Concept-Based Radiology Reports Classification Pipeline for Lung Carcinoma
12. GAN-based one dimensional medical data augmentation
13. SwinHR: Hemodynamic-powered hierarchical vision transformer for breast tumor segmentation
14. Systematic review and meta-analysis of prediction models used in cervical cancer
15. Computed tomography and radiation dose images-based deep-learning model for predicting radiation pneumonitis in lung cancer patients after radiation therapy
16. Multi-centre radiomics for prediction of recurrence following radical radiotherapy for head and neck cancers: Consequences of feature selection, machine learning classifiers and batch-effect harmonization
17. Radiomics and Dosiomics Signature From Whole Lung Predicts Radiation Pneumonitis: A Model Development Study With Prospective External Validation and Decision-curve Analysis
18. Methodological quality of machine learning-based quantitative imaging analysis studies in esophageal cancer: a systematic review of clinical outcome prediction after concurrent chemoradiotherapy
19. Two-Compartment or 4-Compartment Fasciotomy for Lower Leg Chronic Exertional Compartment Syndrome: A Systematic Review
20. Generative models improve radiomics performance in different tasks and different datasets: An experimental study
21. Development and validation of prognostic models for anal cancer outcomes using distributed learning: protocol for the international multi-centre atomCAT2 study
22. The impact of inter-observer variation in delineation on robustness of radiomics features in non-small cell lung cancer
23. Generation of synthetic ground glass nodules using generative adversarial networks (GANs)
24. The AIMe registry for artificial intelligence in biomedical research
25. Machine learning algorithms for outcome prediction in (chemo)radiotherapy: An empirical comparison of classifiers.
26. Actionability of Synthetic Data in a Heterogeneous and Rare Healthcare Demographic; Adolescents and Young Adults (AYAs) with Cancer
27. Making head and neck cancer clinical data Findable-Accessible-Interoperable-Reusable to support multi-institutional collaboration and federated learning
28. A systematic review and quality of reporting checklist for repeatability and reproducibility of radiomic features
29. Auto Segmentation of Lung in Non-small Cell Lung Cancer Using Deep Convolution Neural Network
30. A Feature-Pooling and Signature-Pooling Method for Feature Selection for Quantitative Image Analysis: Application to a Radiomics Model for Survival in Glioma
31. Deciphering the glioblastoma phenotype by computed tomography radiomics
32. Overall survival nomogram for patients with spinal bone metastases (SBM)
33. External validation of nodal failure prediction models including radiomics in head and neck cancer
34. Improving Diagnosis and Care for Patients With Sarcoma: Do Real-World General Practitioners Data and Prospective Data Collections Have a Place Next to Clinical Trials?
35. Development and validation of radiomic signature for predicting overall survival in advanced-stage cervical cancer.
36. Prediction Modeling Methodology
37. Reporting Standards and Critical Appraisal of Prediction Models
38. Diving Deeper into Models
39. Preparing Data for Predictive Modelling
40. Data at Scale
41. Personalized risk prediction for breast cancer pre-screening using artificial intelligence and thermal radiomics
42. Machine learning helps identifying volume-confounding effects in radiomics
43. User-controlled pipelines for feature integration and head and neck radiation therapy outcome predictions
44. A Distributed Feature Selection Pipeline for Survival Analysis using Radiomics in Non-Small Cell Lung Cancer Patients
45. Comparing the performance of a deep learning-based lung gross tumour volume segmentation algorithm before and after transfer learning in a new hospital
46. Quantification of the spatial distribution of primary tumors in the lung to develop new prognostic biomarkers for locally advanced NSCLC
47. Learning from scanners: Bias reduction and feature correction in radiomics
48. Stability of radiomic features of apparent diffusion coefficient (ADC) maps for locally advanced rectal cancer in response to image pre-processing
49. External validation of a prognostic model incorporating quantitative PET image features in oesophageal cancer
50. Vulnerabilities of radiomic signature development: The need for safeguards
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