전체 논문 (68편 · 1/3)
-
Comparison of supine and upright postures in carbon ion radiotherapy for pancreatic cancer: An in silico planning study.
-
Comparison of two established approaches for generating Hounsfield look-up tables for CT-based SPR prediction.
-
Accuracy and precision of few-time-points renal dosimetry for [Lu]Lu-PSMA-617 therapy: Analysis with nonlinear mixed-effects modeling.
-
Global and local information-based prostate image registration of prostate-specific membrane antigen PET/CT and enhanced MRI.
-
Design an open-access dynamic spot-scanning proton arc system controller for quantitative and comprehensive investigation of delivery efficiency.
-
Predicting prostate cancer recurrence using an atlas-based tumor control probability model.
-
A novel method for pharmacokinetic parameters quantification in DCE-MRI: Application in prostate cancer.
-
PSMA PET/MRI-based Swin Transformer architecture for Gleason Score prediction in prostate cancer.
-
A tandem reinforcement learning framework for localized prostate cancer treatment planning and machine parameter optimization.
-
A segmentation method with a large vision model for magnetic resonance imaging-guided adaptive radiotherapy.
-
Generation of 3D reference dosimetric datasets towards adoption of model-based dose calculations for permanent implant prostate brachytherapy.
-
Learning anatomy from unlabelled CT volumes: A self-supervised framework for improving prostate radiotherapy segmentation.
-
A prescription-free, radiobiology-based framework for automated VMAT planning: A feasibility study in primary prostate cancer radiotherapy.
-
Monte Carlo-based optimization of CTV-to-PTV margins for image-guided VMAT prostate radiotherapy.
-
Support vector machine-based MRI radiomics predict response to neoadjuvant therapy and progression-free-survival of Colorectal Liver Metastases patients.
-
Feasibility of ultra-low-dose volumetric 4D-CT with frame averaging for high-fidelity respiratory motion assessment and improved image quality.
-
A generalizable dose prediction model for automatic radiotherapy planning based on physics-informed priors and large-kernel convolutions.
-
A novel population-based input function integral estimation method for parametric imaging with shortened dynamic -FDG PET scans.
-
Novel Treatment Planning Strategy using Single Switching of Universal Range Shifters in Bragg Peak Proton FLASH Radiotherapy.
-
Efficacy and Energy Dependence of Radiodynamic Therapy: 6-45MV photon beams with 5-aminolevulinic acid.
-
Classification of lung nodules in CT images based upon a multiplane dense inception network.
-
Demographic distribution matching between real-world and virtual phantom population.
-
Upright and supine particle therapy of lung cancer: A 4D dosimetric comparison.
-
Mining whole-brain information with deep learning to predict EGFR mutation and subtypes in brain-metastatic NSCLC: A multicenter study.
-
Enhanced anchor-free pulmonary nodule detection utilizing distribution prediction and task-aligned learning strategies.
-
An Interpretable Radiomics Model Based on Multi-DLCT Images for Differentiating Benign and Malignant Solid Solitary Pulmonary Nodules.
-
A transformer-based patient-agnostic tumor motion tracking model (TransTracking): A feasibility study in radiotherapy for lung cancer.
-
Leveraging pretrained vision-language model for enhanced breast cancer diagnosis with multi-view mammography.
-
Feasibility study of surface deformation-based dosimetry for breast cancer radiotherapy.
-
Investigating LETd optimization strategies in carbon ion radiotherapy for pancreatic cancer: a dosimetric study using an anthropomorphic phantom.