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Deep Learning Framework for Epithelium Density Estimation in Prostate Multi-Parametric Magnetic Resonance Imaging
2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI)
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10.1109/isbi45749.2020.9098475
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2020
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Author(s):
Minh Nguyen Nhat To
◽
Sandeep Sankineni
◽
Sheng Xu
◽
Baris Turkbey
◽
Peter L. Choyke
◽
...
Keyword(s):
Magnetic Resonance Imaging
◽
Deep Learning
◽
Magnetic Resonance
◽
Density Estimation
◽
Resonance Imaging
◽
Learning Framework
Download Full-text
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2021 6th International Conference for Convergence in Technology (I2CT)
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10.1109/i2ct51068.2021.9418143
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2021
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Author(s):
Sudhakar Tummala
Keyword(s):
Neural Network
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Magnetic Resonance Imaging
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Multi-scale Unrolled Deep Learning Framework for Accelerated Magnetic Resonance Imaging
2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI)
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10.1109/isbi45749.2020.9098684
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2020
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Cited By ~ 1
Author(s):
Ukash Nakarmi
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Joseph Y. Cheng
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Edgar P. Rios
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Morteza Mardani
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...
Keyword(s):
Magnetic Resonance Imaging
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Deep Learning
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Magnetic Resonance
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Learning Framework
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Multi Scale
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A deep-learning method for tissue volumetry from multi-spectral magnetic resonance imaging in multiple sclerosis
10.26226/morressier.59a3e8b5d462b8028d894cfa
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2017
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Author(s):
Richard McKinley
Keyword(s):
Magnetic Resonance Imaging
◽
Multiple Sclerosis
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Deep Learning
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Magnetic Resonance
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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
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10.1109/tmi.2021.3073091
◽
2021
◽
pp. 1-1
Author(s):
Elisabeth Hoppe
◽
Jens Wetzl
◽
Seung Su Yoon
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Mario Bacher
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Philipp Roser
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...
Keyword(s):
Magnetic Resonance Imaging
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Deep Learning
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Magnetic Resonance
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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
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10.1007/s00234-021-02649-3
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2021
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Author(s):
Antonio Di Ieva
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Carlo Russo
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Sidong Liu
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Anne Jian
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Michael Y. Bai
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Keyword(s):
Magnetic Resonance Imaging
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Deep Learning
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Magnetic Resonance
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Brain Tumors
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Automatic Segmentation
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Heuristic Approach
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Clinical Scenario
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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
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10.1007/s11227-020-03535-0
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2021
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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
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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
◽
Age And Sex
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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
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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
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Cited By ~ 1
Author(s):
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Ahmet K. Arslan
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Cemil Colak
Keyword(s):
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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
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10.1016/j.jneumeth.2021.109098
◽
2021
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Vol 353
◽
pp. 109098
Author(s):
Yunyan Zhang
◽
Daphne Hong
◽
Daniel McClement
◽
Olayinka Oladosu
◽
Glen Pridham
◽
...
Keyword(s):
Magnetic Resonance Imaging
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Multiple Sclerosis
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Deep Learning
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Magnetic Resonance
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Brain Magnetic Resonance Imaging
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Learning Models
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