Latest AI and machine learning research in therapeutic radiology for healthcare professionals.
PURPOSE: To develop, and evaluate the performance of, a deep learning-based three-dimensional (3D) c...
Multi-needle localization in ultrasound (US) images is a crucial step of treatment planning for US-g...
The use of machine learning and other sophisticated models to aid in prediction and decision making ...
We propose a multi-view data analysis approach using radiomics and dosiomics (R&D) texture features ...
The purpose of this work was to develop a deep learning (DL) based algorithm, Automatic intensity-mo...
PURPOSE: To develop a deep learning-based metal artifact reduction (DL-MAR) method using unpaired da...
Artificial intelligence (AI) employs knowledge models that often behave as a black-box to the major...
BACKGROUND: Brain metastasis velocity (BMV) predicts outcomes after initial distant brain failure (D...
PURPOSE: Prognostic indices such as the Brain Metastasis Graded Prognostic Assessment have been used...
BACKGROUND: To investigate the feasibility of a knowledge-based automated intensity-modulated radiat...
PURPOSE: Many researchers have developed deep learning models for predicting clinical dose distribut...
PURPOSE: Needle placement is a challenging problem for applications such as biopsy or brachytherapy....
PURPOSE: This paper addresses the detection of the clinical target volume (CTV) in transrectal ultra...
PURPOSE: High-Dose-Rate (HDR) brachytherapy is one of the most effective ways to treat the prostate ...
PURPOSE: Robotic radiosurgery offers the flexibility of a robotic arm to enable high conformity to t...
BACKGROUND: Interstitial brachytherapy (BT) is becoming an accepted treatment option for head and ne...
PURPOSE: To investigate machine segmentation of pelvic anatomy in magnetic resonance imaging (MRI)-a...
Registration and fusion of magnetic resonance imaging (MRI) and transrectal ultrasound (TRUS) of the...
Stereotactic Body Radiation Therapy (SBRT), alternatively termed Stereotactic ABlative Radiotherapy ...
PURPOSE: Detailed and accurate absorbed dose calculations from radiation interactions with the human...
INTRODUCTION: Deep learning-based algorithms have demonstrated enormous performance in segmentation ...