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Published in 2020 at "International journal for numerical methods in biomedical engineering"
DOI: 10.1002/cnm.3305
Abstract: Investigations of pulmonary airflows in respiratory systems are important for the diagnostics and treatment of pulmonary diseases. For accurate prediction of the flow field in an airway, a numerical simulation must be conducted using the…
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Keywords:
image based;
automatic detection;
method;
simulation ... See more keywords
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Published in 2022 at "Journal of Magnetic Resonance Imaging"
DOI: 10.1002/jmri.28284
Abstract: Timely diagnosis of meniscus injuries is key for preventing knee joint dysfunction and improving patient outcomes because it decreases morbidity and facilitates treatment planning.
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Keywords:
meniscus;
automatic detection;
meniscus tears;
tears using ... See more keywords
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Published in 2020 at "Medical physics"
DOI: 10.1002/mp.14069
Abstract: PURPOSE To use machine-learning algorithms and blur measure (BM) operators to automatically detect motion blur in mammograms. Motion blur has been reported to reduce lesion detection performance and mask small abnormalities, resulting in failure to…
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Keywords:
motion;
motion blur;
automatic detection;
blur mammograms ... See more keywords
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Published in 2020 at "Medical physics"
DOI: 10.1002/mp.14338
Abstract: PURPOSE Automatic detection and identification of setup devices, using a deep convolutional neural network (CNN) for real time multi-class object detection, has the potential to reduce errors in the treatment delivery process by avoiding documentation…
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Keywords:
detection;
automatic detection;
detection identification;
oncology ... See more keywords
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Published in 2019 at "Statistics in medicine"
DOI: 10.1002/sim.7968
Abstract: In this paper, we propose a large-scale multiple testing procedure to find the significant sub-areas between two samples of curves automatically. The procedure is optimal in that it controls the directional false discovery rate at…
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Keywords:
error control;
directional error;
procedure;
automatic detection ... See more keywords
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Published in 2019 at "Journal of Medical Systems"
DOI: 10.1007/s10916-019-1283-8
Abstract: With the approaching of the aging of the population in China, the risk of heart disease increases with age. Atrial fibrillation as a common heart disease has seriously affected people’s lives and health. A study…
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Keywords:
atrial fibrillation;
fibrillation;
automatic detection;
algorithm atrial ... See more keywords
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Published in 2022 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-022-11949-6
Abstract: Osteosarcoma is one of the most common malignant bone tumors mostly found in children and teenagers. Manual detection of osteosarcoma requires expertise and it is a labour-intensive process. If detected on time, the mortality rate…
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Keywords:
integrated features;
osteosarcoma;
detection;
feature selection ... See more keywords
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Published in 2020 at "Automation in Construction"
DOI: 10.1016/j.autcon.2020.103358
Abstract: Abstract Workers in different industrial sectors, mainly in the construction and energy areas, face the daily risky situation of falling from the height accidentally, even wearing safety harnesses. To actively protect workers, a safety jacket…
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Keywords:
detection human;
automatic detection;
human falls;
airbag deployment ... See more keywords
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Published in 2020 at "Clinical Neurophysiology"
DOI: 10.1016/j.clinph.2020.01.002
Abstract: OBJECTIVE We proposed a 40-Hz auditory steady-state response (ASSR) automatic detection method, and studied the prognosis of comatose patients by combining the 40-Hz ASSR detection results of multiple paradigms of auditory stimulation. METHODS The 40-Hz…
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Keywords:
state;
detection;
outcome;
prognosis ... See more keywords
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Published in 2020 at "Clinical Neurophysiology"
DOI: 10.1016/j.clinph.2020.02.027
Abstract: OBJECTIVE Significant interscorer variability is found in manual scoring of arousals in polysomnographic recordings (PSGs). We propose a fully automatic method, the Multimodal Arousal Detector (MAD), for detecting arousals. METHODS A deep neural network was…
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Keywords:
detection;
automatic detection;
detection cortical;
cortical arousals ... See more keywords
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Published in 2020 at "Computer methods and programs in biomedicine"
DOI: 10.1016/j.cmpb.2020.105336
Abstract: BACKGROUND AND OBJECTIVE Pulsed-wave Doppler (PWD) echocardiography is the primary tool for antenatal cardiological diagnosis. Based on it, different measurements and validated reference parameters can be extracted. The automatic detection of complete and measurable cardiac…
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Keywords:
detection;
pulsed wave;
automatic detection;
wave doppler ... See more keywords