Medical Physics | Oncology | Radiology Advances in gross tumor target volume determination in radiotherapy for patients with hepatocellular carcinoma. June 6, 2024
Neurology | Oncology | Radiology A multi-task deep learning model for EGFR genotyping prediction and GTV segmentation of brain metastasis. November 8, 2023
Hematology | Oncology | Radiology CT-based deep learning radiomics and hematological biomarkers in the assessment of pathological complete response to neoadjuvant chemoradiotherapy in patients with esophageal squamous cell carcinoma: A two-center study. October 15, 2023
Neurology | Radiation Oncology Automatic Detection of Brain Metastases in T1-Weighted Construct-Enhanced MRI Using Deep Learning Model. September 28, 2023
Medical Imaging | Radiation Oncology Using RegGAN to generate synthetic CT images from CBCT images acquired with different linear accelerators. September 5, 2023
Medical Physics | Radiation Oncology Feasibility study of adaptive radiotherapy for esophageal cancer using artificial intelligence autosegmentation based on MR-Linac. June 26, 2023
Medical Imaging | Radiation Oncology Patient-specific Daily Updated Deep Learning Auto-Segmentation for MRI-Guided Adaptive Radiotherapy. November 14, 2022
Radiation Oncology Accuracy Improvement Method Based on Characteristic Database Classification for IMRT Dose Prediction in Cervical Cancer: Scientifically Training Data Selection. March 21, 2022
Neurology | Oncology | Radiology Developing and validating a deep learning and radiomic model for glioma grading using multiplanar reconstructed magnetic resonance contrast-enhanced T1-weighted imaging: a robust, multi-institutional study. February 3, 2022
Radiology COVID-MTL: Multitask Learning with Shift3D and Random-weighted Loss for COVID-19 Diagnosis and Severity Assessment. December 20, 2021
Medical Physics | Radiation Oncology [A review of machine learning in tumor radiotherapy]. October 21, 2019