Radiology

Therapeutic Radiology

Latest AI and machine learning research in therapeutic radiology for healthcare professionals.

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Automatic treatment planning based on three-dimensional dose distribution predicted from deep learning technique.

PURPOSE: To develop an automated treatment planning strategy for external beam intensity-modulated r...

Metal artifact reduction on cervical CT images by deep residual learning.

BACKGROUND: Cervical cancer is the fifth most common cancer among women, which is the third leading ...

[Interest of robotic stereotactic radiosurgery in the management of brain metastases: Results of a retrospective, single center analysis].

PURPOSE: The management of malignant brain metastases becomes a main issue for the treatment of pati...

Combined Low Dose Rate Brachytherapy and External Beam Radiation Therapy for Intermediate-Risk Prostate Cancer.

INTRODUCTION: This is a retrospective study conducted to report the tumor control and late toxicity ...

The application of artificial intelligence in the IMRT planning process for head and neck cancer.

Artificial intelligence (AI) is beginning to transform IMRT treatment planning for head and neck pat...

Deeply-learnt damped least-squares (DL-DLS) method for inverse kinematics of snake-like robots.

Recently, snake-like robots are proposed to assist experts during medical procedures on internal org...

MRI-based treatment planning for brain stereotactic radiosurgery: Dosimetric validation of a learning-based pseudo-CT generation method.

Magnetic resonance imaging (MRI)-only radiotherapy treatment planning is attractive since MRI provid...

Distinguishing True Progression From Radionecrosis After Stereotactic Radiation Therapy for Brain Metastases With Machine Learning and Radiomics.

PURPOSE: Treatment effect or radiation necrosis after stereotactic radiosurgery (SRS) for brain meta...

Deep nets vs expert designed features in medical physics: An IMRT QA case study.

PURPOSE: The purpose of this study was to compare the performance of Deep Neural Networks against a ...

Salvage HDR Brachytherapy: Multiple Hypothesis Testing Versus Machine Learning Analysis.

PURPOSE: Salvage high-dose-rate brachytherapy (sHDRB) is a treatment option for recurrences after pr...

A singular value decomposition linear programming (SVDLP) optimization technique for circular cone based robotic radiotherapy.

With robot-controlled linac positioning, robotic radiotherapy systems such as CyberKnife significant...

Focal MRI-Guided Salvage High-Dose-Rate Brachytherapy in Patients With Radiorecurrent Prostate Cancer.

INTRODUCTION: Whole-gland salvage treatment of radiorecurrent prostate cancer has a high rate of sev...

A knowledge-based approach to automated planning for hepatocellular carcinoma.

PURPOSE: To build a knowledge-based model of liver cancer for Auto-Planning, a function in Pinnacle,...

Towards frameless maskless SRS through real-time 6DoF robotic motion compensation.

Stereotactic radiosurgery (SRS) uses precise dose placement to treat conditions of the CNS. Frame-ba...

Deep convolutional neural network with transfer learning for rectum toxicity prediction in cervical cancer radiotherapy: a feasibility study.

Better understanding of the dose-toxicity relationship is critical for safe dose escalation to impro...

A deep convolutional neural network-based automatic delineation strategy for multiple brain metastases stereotactic radiosurgery.

Accurate and automatic brain metastases target delineation is a key step for efficient and effective...

IMRT QA using machine learning: A multi-institutional validation.

PURPOSE: To validate a machine learning approach to Virtual intensity-modulated radiation therapy (I...

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