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Automatic intraprostatic lesion segmentation in multiparametric magnetic resonance images with proposed multiple branch Unet.
In Medical physics ; h5-index 59.0
Chen Yizheng, Xing Lei, Yu Lequan, Bagshaw Hilary P, Buyyounouski Mark K, Han Bin
boosting radiotherapy, deep learning, intraprostatic lesion segmentation, multi-parametric magnetic resonance imaging, multiple branch UNet (MB-UNet)
Rapid screening for hazelnut oil and high oleic sunflower oil in extra virgin olive oil using low-field nuclear magnetic resonance relaxometry and machine learning.
In Journal of the science of food and agriculture
Hou Xuewen, Wang Guangli, Wang Xin, Ge Xinmin, Fan Yiren, Jiang Rui, Nie Shengdong
Adulteration, Classification, Extra virgin olive oil, LF-NMR, Machine learning
Accuracy, uncertainty, and interpretability assessments of ANFIS models to predict dust concentration in semi-arid regions.
In Environmental science and pollution research international
Ebrahimi-Khusfi Zohre, Taghizadeh-Mehrjardi Ruhollah, Nafarzadegan Ali Reza
ANFIS, Air pollution, Bat optimization algorithm, Interpretability, Machine learning, Uncertainty
Diagnostic performance for pulmonary adenocarcinoma on CT: comparison of radiologists with and without three-dimensional convolutional neural network.
In European radiology ; h5-index 62.0
KEY POINTS :
Yanagawa Masahiro, Niioka Hirohiko, Kusumoto Masahiko, Awai Kazuo, Tsubamoto Mitsuko, Satoh Yukihisa, Miyata Tomo, Yoshida Yuriko, Kikuchi Noriko, Hata Akinori, Yamasaki Shohei, Kido Shoji, Nagahara Hajime, Miyake Jun, Tomiyama Noriyuki
Artificial intelligence, Deep learning, Lung cancer
Do children's expectations about future physical activity predict their physical activity in adulthood?
In International journal of epidemiology ; h5-index 76.0
Pongiglione Benedetta, Kern Margaret L, Carpentieri J D, Schwartz H Andrew, Gupta Neelaabh, Goodman Alissa
Physical activity, exercise identity, identity, latent class analysis, life course perspective, narratives, natural language processing, sociocultural context
In Journal of behavioral addictions ; h5-index 36.0
Background and aims :
Seo Wonju, Kim Namho, Lee Sang-Kyu, Park Sung-Min
adolescents, feature engineering, machine learning-based analysis method, problem gambling