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In Physics in medicine and biology
Wang Tao, Xia Wenjun, Huang Yongqiang, Sun Huaiqiang, Liu Yan, Chen Hu, Zhou Jiliu, Zhang Yi
computed tomography, deep learning, image reconstruction, metal artifact reduction
Common and specific determinants of 9-year depression and anxiety course-trajectories: A machine-learning investigation in the Netherlands Study of Depression and Anxiety (NESDA).
In Journal of affective disorders ; h5-index 79.0
Wardenaar Klaas J, Riese Harriëtte, Giltay Erik J, Eikelenboom Merijn, van Hemert Albert J, Beekman Aartjan F, Penninx Brenda W J H, Schoevers Robert A
Anxiety, Course, Depression, Machine Learning, Prediction, SuperLearner
Parameter importance assessment improves efficacy of machine learning methods for predicting snow avalanche sites in Leh-Manali Highway, India.
In The Science of the total environment
Tiwari Anuj, G Arun, Vishwakarma Bramha Dutt
Avalanche susceptibility modeling, Boruta algorithm, Machine learning (ML), Parameter Importance Assessment (PIA), Support Vector Machine (SVM)
Deep learning assistance for tuberculosis diagnosis with chest radiography in low-resource settings.
In Journal of X-ray science and technology
Nijiati Mayidili, Zhang Ziqi, Abulizi Abudoukeyoumujiang, Miao Hengyuan, Tuluhong Aikebaierjiang, Quan Shenwen, Guo Lin, Xu Tao, Zou Xiaoguang
Artificial intelligence (AI), assistance, chest X-rays (CXRs), convolutional neural network, low-resource settings, radiologists, tuberculosis (TB) diagnosis
In Results in physics
Ayoobi Nooshin, Sharifrazi Danial, Alizadehsani Roohallah, Shoeibi Afshin, Gorriz Juan M, Moosaei Hossein, Khosravi Abbas, Nahavandi Saeid, Gholamzadeh Chofreh Abdoulmohammad, Goni Feybi Ariani, Klemeš Jiří Jaromír, Mosavi Amir
ANFIS, Adaptive Network-based Fuzzy Inference System, ANN, Artificial Neural Network, AU, Australia, Bi-Conv-LSTM, Bidirectional Convolutional Long Short Term Memory, Bi-GRU, Bidirectional Gated Recurrent Unit, Bi-LSTM, Bidirectional Long Short-Term Memory, Bidirectional, COVID-19 Prediction, COVID-19, Coronavirus Disease 2019, Conv-LSTM, Convolutional Long Short Term Memory, Convolutional Long Short Term Memory (Conv-LSTM), DL, Deep Learning, DLSTM, Delayed Long Short-Term Memory, Deep learning, EMRO, Eastern Mediterranean Regional Office, ES, Exponential Smoothing, EV, Explained Variance, GRU, Gated Recurrent Unit, Gated Recurrent Unit (GRU), IR, Iran, LR, Linear Regression, LSTM, Long Short-Term Memory, Lasso, Least Absolute Shrinkage and Selection Operator, Long Short Term Memory (LSTM), MAE, Mean Absolute Error, MAPE, Mean Absolute Percentage Error, MERS, Middle East Respiratory Syndrome, ML, Machine Learning, MLP-ICA, Multi-layered Perceptron-Imperialist Competitive Calculation, MSE, Mean Square Error, MSLE, Mean Squared Log Error, Machine learning, New Cases of COVID-19, New Deaths of COVID-19, PRISMA, Preferred Reporting Items for Precise Surveys and Meta-Analyses, RMSE, Root Mean Square Error, RMSLE, Root Mean Squared Log Error, RNN, Repetitive Neural Network, ReLU, Rectified Linear Unit, SARS, Serious Intense Respiratory Disorder, SARS-COV, SARS coronavirus, SARS-COV-2, Serious Intense Respiratory Disorder Coronavirus 2, SVM, Support Vector Machine, VAE, Variational Auto Encoder, WHO, World Health Organization, WPRO, Western Pacific Regional Office
In Journal of electrocardiology
Jo Yong-Yeon, Kwon Joon-Myoung, Jeon Ki-Hyun, Cho Yong-Hyeon, Shin Jae-Hyun, Lee Yoon-Ji, Jung Min-Seung, Ban Jang-Hyeon, Kim Kyung-Hee, Lee Soo Youn, Park Jinsik, Oh Byung-Hee
Arrhythmia, Artificial intelligence, Deep learning, Electrocardiography