Deep learning-based auto-segmentation of targets and organs-at-risk for magnetic resonance imaging only planning of prostate radiotherapy

At Risk ◽

Deep Learning ◽

Magnetic Resonance ◽

Organs At Risk ◽

Resonance Imaging ◽

Prostate Radiotherapy

Clinical and radiobiological evaluation of a method for planning target volume generation dependent on organ-at-risk exclusions in magnetic resonance imaging-based prostate radiotherapy

Physics and Imaging in Radiation Oncology ◽

10.1016/j.phro.2018.11.007 ◽

2018 ◽

Vol 8 ◽

pp. 51-56 ◽

Cited By ~ 2

Author(s):

Brian Ruiz ◽

Yuanming Feng

Keyword(s):

At Risk ◽

Magnetic Resonance ◽

Planning Target Volume ◽

Target Volume ◽

Resonance Imaging ◽

Prostate Radiotherapy ◽

Organ At Risk

Throwing the dart blind-folded: comparison of computed tomography versus magnetic resonance imaging-guided brachytherapy for cervical cancer with regard to dose received by the ‘actual’ targets and organs at risk

Journal of Contemporary Brachytherapy ◽

10.5114/jcb.2017.71050 ◽

2017 ◽

Vol 5 ◽

pp. 446-452 ◽

Cited By ~ 2

Author(s):

Winnie Wing Ling Yip ◽

Joyce Siu Yu Wong ◽

Venus Wan Yan Lee ◽

Frank Chi Sing Wong ◽

Stewart Yuk Tung

Keyword(s):

Computed Tomography ◽

Cervical Cancer ◽

At Risk ◽

Magnetic Resonance ◽

Organs At Risk ◽

Finding of dose evaluation for organs at risk in intensity-modulated radiation therapy for nasopharyngeal carcinoma using magnetic resonance imaging

Precision Radiation Oncology ◽

10.1002/pro6.6 ◽

2017 ◽

Vol 1 (1) ◽

pp. 7-12

Author(s):

Guanzhong Gong ◽

Xudong Kong ◽

Xiuying Wang ◽

Chaojie Zheng ◽

Yujie Guo ◽

...

Keyword(s):

At Risk ◽

Radiation Therapy ◽

Magnetic Resonance ◽

Nasopharyngeal Carcinoma ◽

Organs At Risk ◽

Intensity Modulated Radiation Therapy ◽

Resonance Imaging ◽

Dose Evaluation ◽

Intensity Modulated

A deep-learning method for tissue volumetry from multi-spectral magnetic resonance imaging in multiple sclerosis

10.26226/morressier.59a3e8b5d462b8028d894cfa ◽

2017 ◽

Author(s):

Richard McKinley

Keyword(s):

Multiple Sclerosis ◽

Deep Learning ◽

Magnetic Resonance ◽

Learning Method ◽

Deep learning-based ECG-free Cardiac Navigation for Multi-Dimensional and Motion-Resolved Continuous Magnetic Resonance Imaging

IEEE Transactions on Medical Imaging ◽

10.1109/tmi.2021.3073091 ◽

2021 ◽

pp. 1-1

Author(s):

Elisabeth Hoppe ◽

Jens Wetzl ◽

Seung Su Yoon ◽

Mario Bacher ◽

Philipp Roser ◽

...

Keyword(s):

Deep Learning ◽

Magnetic Resonance ◽

Application of deep learning for automatic segmentation of brain tumors on magnetic resonance imaging: a heuristic approach in the clinical scenario

Neuroradiology ◽

10.1007/s00234-021-02649-3 ◽

2021 ◽

Author(s):

Antonio Di Ieva ◽

Carlo Russo ◽

Sidong Liu ◽

Anne Jian ◽

Michael Y. Bai ◽

...

Keyword(s):

Deep Learning ◽

Magnetic Resonance ◽

Brain Tumors ◽

Automatic Segmentation ◽

Heuristic Approach ◽

Clinical Scenario ◽

Diagnostic efficacy of ultrasound combined with magnetic resonance imaging in diagnosis of deep pelvic endometriosis under deep learning

The Journal of Supercomputing ◽

10.1007/s11227-020-03535-0 ◽

2021 ◽

Author(s):

Minmin Yang ◽

Min Liu ◽

Yan Chen ◽

Suhui He ◽

Yan Lin

Keyword(s):

Deep Learning ◽

Magnetic Resonance ◽

Pelvic Endometriosis ◽

Resonance Imaging ◽

Diagnostic Efficacy ◽

Deep Pelvic Endometriosis

Effect of age and sex on fully automated deep learning assessment of left ventricular function, volumes, and contours in cardiac magnetic resonance imaging

The International Journal of Cardiovascular Imaging ◽

10.1007/s10554-021-02326-9 ◽

2021 ◽

Author(s):

Vincent Chen ◽

Alex J. Barker ◽

Rotem Golan ◽

Michael B. Scott ◽

Hyungkyu Huh ◽

...

Keyword(s):

Deep Learning ◽

Cardiac Magnetic Resonance ◽

Magnetic Resonance ◽

Left Ventricular Function ◽

Left Ventricular ◽

Learning Assessment ◽

Resonance Imaging ◽

Effect Of Age ◽

Age And Sex

Detection of Hepatocellular Carcinoma in Contrast-Enhanced Magnetic Resonance Imaging Using Deep Learning Classifier: A Multi-Center Retrospective Study

Scientific Reports ◽

10.1038/s41598-020-65875-4 ◽

2020 ◽

Vol 10 (1) ◽

Author(s):

Junmo Kim ◽

Ji Hye Min ◽

Seon Kyoung Kim ◽

Soo-Yong Shin ◽

Min Woo Lee

Keyword(s):

Hepatocellular Carcinoma ◽

Deep Learning ◽

Retrospective Study ◽

Magnetic Resonance ◽

Resonance Imaging ◽

Learning Classifier ◽

Contrast Enhanced

Deep learning based-classification of dementia in magnetic resonance imaging scans

2019 International Artificial Intelligence and Data Processing Symposium (IDAP) ◽

10.1109/idap.2019.8875961 ◽

2019 ◽

Cited By ~ 1

Author(s):

Hasan Ucuzal ◽

Ahmet K. Arslan ◽

Cemil Colak

Keyword(s):

Deep Learning ◽

Magnetic Resonance ◽