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Feasibility study of EPB shield automation using deep learning
Tunnels and Underground Cities: Engineering and Innovation meet Archaeology, Architecture and Art
◽
10.1201/9780429424441-285
◽
2019
◽
pp. 2691-2699
Author(s):
S. Mokhtari
◽
M.A. Mooney
Keyword(s):
Deep Learning
◽
Feasibility Study
◽
Epb Shield
Download Full-text
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Cited By
References
Feasibility study of EPB shield automation using deep learning
Tunnels and Underground Cities: Engineering and Innovation meet Archaeology, Architecture and Art
◽
10.1201/9781003031635-15
◽
2020
◽
pp. 2691-2699
◽
Cited By ~ 1
Author(s):
S. Mokhtari
◽
M.A. Mooney
Keyword(s):
Deep Learning
◽
Feasibility Study
◽
Epb Shield
Download Full-text
Feasibility study of EPB shield automation using deep learning
Tunnels and Underground Cities: Engineering and Innovation meet Archaeology, Architecture and Art
◽
10.4324/9781003031635-15
◽
2020
◽
pp. 2691-2699
◽
Cited By ~ 1
Author(s):
S. Mokhtari
◽
M.A. Mooney
Keyword(s):
Deep Learning
◽
Feasibility Study
◽
Epb Shield
Download Full-text
An automatic deep learning-based workflow for glioblastoma survival prediction using pre-operative multimodal MR images: a feasibility study
Advances in Radiation Oncology
◽
10.1016/j.adro.2021.100746
◽
2021
◽
pp. 100746
Author(s):
Jie Fu
◽
Kamal Singhrao
◽
Xinran Zhong
◽
Yu Gao
◽
Sharon X. Qi
◽
...
Keyword(s):
Deep Learning
◽
Feasibility Study
◽
Survival Prediction
◽
Mr Images
Download Full-text
Performance evaluation of a deep learning image reconstruction (DLIR) algorithm in “double low” chest CTA in children: a feasibility study
La radiologia medica
◽
10.1007/s11547-021-01384-2
◽
2021
◽
Author(s):
Jihang Sun
◽
Haoyan Li
◽
Jun Gao
◽
Jianying Li
◽
Michelle Li
◽
...
Keyword(s):
Performance Evaluation
◽
Deep Learning
◽
Image Reconstruction
◽
Feasibility Study
Download Full-text
Feasibility Study on Automatic Interpretation of Radiation Dose Using Deep Learning Technique for Dicentric Chromosome Assay
Radiation Research
◽
10.1667/rade-20-00167.1
◽
2020
◽
Vol 195
(2)
◽
Author(s):
Seungsoo Jang
◽
Sung-Gyun Shin
◽
Min-Jae Lee
◽
Sangsoo Han
◽
Chan-Ho Choi
◽
...
Keyword(s):
Deep Learning
◽
Radiation Dose
◽
Feasibility Study
◽
Dicentric Chromosome
◽
Automatic Interpretation
◽
Learning Technique
Download Full-text
Feasibility Study on Deep Learning Scheme for Sign Language Motion Recognition
Advances in Intelligent Systems and Computing - Complex, Intelligent, and Software Intensive Systems
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10.1007/978-3-319-93659-8_103
◽
2018
◽
pp. 1106-1115
Author(s):
Kazuki Sakamoto
◽
Eiji Ota
◽
Tatsunori Ozawa
◽
Hiromitsu Nishimura
◽
Hiroshi Tanaka
Keyword(s):
Deep Learning
◽
Sign Language
◽
Feasibility Study
◽
Motion Recognition
◽
Learning Scheme
Download Full-text
Direct Attenuation Correction Using Deep Learning for Cardiac SPECT: A Feasibility Study
Journal of Nuclear Medicine
◽
10.2967/jnumed.120.256396
◽
2021
◽
pp. jnumed.120.256396
Author(s):
Jaewon Yang
◽
Luyao Shi
◽
Rui Wang
◽
Edward J. Miller
◽
Albert J. Sinusas
◽
...
Keyword(s):
Deep Learning
◽
Attenuation Correction
◽
Feasibility Study
◽
Cardiac Spect
Download Full-text
Using supervised deep-learning to model edge-FBG shape sensors: a feasibility study
Optical Sensors 2021
◽
10.1117/12.2589252
◽
2021
◽
Author(s):
Samaneh Manavi
◽
Tatiana Renna
◽
Antal Horvath
◽
Sara Freund
◽
Azhar Zam
◽
...
Keyword(s):
Deep Learning
◽
Feasibility Study
Download Full-text
Automated deep learning design for medical image classification by health-care professionals with no coding experience: a feasibility study
The Lancet Digital Health
◽
10.1016/s2589-7500(19)30108-6
◽
2019
◽
Vol 1
(5)
◽
pp. e232-e242
◽
Cited By ~ 29
Author(s):
Livia Faes
◽
Siegfried K Wagner
◽
Dun Jack Fu
◽
Xiaoxuan Liu
◽
Edward Korot
◽
...
Keyword(s):
Health Care
◽
Deep Learning
◽
Image Classification
◽
Feasibility Study
◽
Health Care Professionals
◽
Medical Image
◽
Learning Design
◽
Medical Image Classification
Download Full-text
Multi-institutional Deep Learning Modeling Without Sharing Patient Data: A Feasibility Study on Brain Tumor Segmentation
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - Lecture Notes in Computer Science
◽
10.1007/978-3-030-11723-8_9
◽
2019
◽
pp. 92-104
◽
Cited By ~ 22
Author(s):
Micah J. Sheller
◽
G. Anthony Reina
◽
Brandon Edwards
◽
Jason Martin
◽
Spyridon Bakas
Keyword(s):
Deep Learning
◽
Brain Tumor
◽
Feasibility Study
◽
Patient Data
◽
Tumor Segmentation
◽
Brain Tumor Segmentation
Download Full-text
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