Graphical User Interface for Medical Deep Learning - Application to Magnetic Resonance Imaging

2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) ◽

10.23919/apsipa.2018.8659515 ◽

2018 ◽

Author(s):

Sebastian Milde ◽

Annika Liebgott ◽

Ziwei Wu ◽

Wenyi Feng ◽

Jiahuan Yang ◽

...

Keyword(s):

Magnetic Resonance Imaging ◽

Deep Learning ◽

User Interface ◽

Magnetic Resonance ◽

Graphical User Interface ◽

Resonance Imaging

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An Efficacious Graphical User Interface Implementation for Automatic Classification of Brain Tumor from Magnetic Resonance Imaging Images Using Image Processing

International Journal for Research in Applied Science and Engineering Technology ◽

10.22214/ijraset.2018.1190 ◽

2018 ◽

Vol 6 (1) ◽

pp. 1239-1247

Author(s):

Hardik Modi

Keyword(s):

Magnetic Resonance Imaging ◽

Image Processing ◽

Brain Tumor ◽

User Interface ◽

Magnetic Resonance ◽

Graphical User Interface ◽

Automatic Classification ◽

Resonance Imaging

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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):

Magnetic Resonance Imaging ◽

Multiple Sclerosis ◽

Deep Learning ◽

Magnetic Resonance ◽

Learning Method ◽

Resonance Imaging

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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):

Magnetic Resonance Imaging ◽

Deep Learning ◽

Magnetic Resonance ◽

Resonance Imaging

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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):

Magnetic Resonance Imaging ◽

Deep Learning ◽

Magnetic Resonance ◽

Brain Tumors ◽

Automatic Segmentation ◽

Heuristic Approach ◽

Clinical Scenario ◽

Resonance Imaging

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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):

Magnetic Resonance Imaging ◽

Deep Learning ◽

Magnetic Resonance ◽

Pelvic Endometriosis ◽

Resonance Imaging ◽

Diagnostic Efficacy ◽

Deep Pelvic Endometriosis

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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):

Magnetic Resonance Imaging ◽

Deep Learning ◽

Cardiac Magnetic Resonance ◽

Magnetic Resonance ◽

Left Ventricular Function ◽

Left Ventricular ◽

Learning Assessment ◽

Resonance Imaging ◽

Effect Of Age ◽

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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):

Magnetic Resonance Imaging ◽

Hepatocellular Carcinoma ◽

Deep Learning ◽

Retrospective Study ◽

Magnetic Resonance ◽

Resonance Imaging ◽

Learning Classifier ◽

Contrast Enhanced

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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 ◽

Author(s):

Hasan Ucuzal ◽

Ahmet K. Arslan ◽

Cemil Colak

Keyword(s):

Magnetic Resonance Imaging ◽

Deep Learning ◽

Magnetic Resonance ◽

Resonance Imaging

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Grad-CAM helps interpret the deep learning models trained to classify multiple sclerosis types using clinical brain magnetic resonance imaging

Journal of Neuroscience Methods ◽

10.1016/j.jneumeth.2021.109098 ◽

2021 ◽

Vol 353 ◽

pp. 109098

Author(s):

Yunyan Zhang ◽

Daphne Hong ◽

Daniel McClement ◽

Olayinka Oladosu ◽

Glen Pridham ◽

...

Keyword(s):

Magnetic Resonance Imaging ◽

Multiple Sclerosis ◽

Deep Learning ◽

Magnetic Resonance ◽

Brain Magnetic Resonance Imaging ◽

Learning Models ◽

Resonance Imaging

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Oropharyngeal primary tumor segmentation for radiotherapy planning on magnetic resonance imaging using deep learning

Physics and Imaging in Radiation Oncology ◽

10.1016/j.phro.2021.06.005 ◽

2021 ◽

Vol 19 ◽

pp. 39-44

Author(s):

Roque Rodríguez Outeiral ◽

Paula Bos ◽

Abrahim Al-Mamgani ◽

Bas Jasperse ◽

Rita Simões ◽

...

Keyword(s):

Magnetic Resonance Imaging ◽

Deep Learning ◽

Magnetic Resonance ◽

Primary Tumor ◽

Radiotherapy Planning ◽

Tumor Segmentation ◽

Resonance Imaging

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