Learning physical properties in complex visual scenes: An intelligent machine for perceiving blood flow dynamics from static CT angiography imaging
Gao, Wang, Sun et al
Neural Netw (2019) 123, 82-93
EEG spectral power, but not theta/beta ratio, is a neuromarker for adult ADHD
Kiiski, Bennett, Rueda-Delgado et al
Eur. J. Neurosci. (2019)
A validation of machine learning-based risk scores in the prehospital setting
Spangler, Hermansson, Smekal et al
PLoS ONE (2019) 14, e0226518
An evaluation of different classification algorithms for protein sequence-based reverse vaccinology prediction
Heinson, Ewing, Holloway et al
PLoS ONE (2019) 14, e0226256
An investigation of machine learning methods in delta-radiomics feature analysis
Chang, Lafata, Sun et al
PLoS ONE (2019) 14, e0226348
Predicting the occurrence of surgical site infections using text mining and machine learning
da Silva, Ten Caten, Dos Santos et al
PLoS ONE (2019) 14, e0226272
Robust, automated sleep scoring by a compact neural network with distributional shift correction
Barger, Frye, Liu et al
PLoS ONE (2019) 14, e0224642
Follow-Up on the Use of Machine Learning in Clinical Quality Assurance: Can We Detect Adverse Event Under-Reporting in Oncology Trials?
Ménard, Koneswarakantha, Rolo et al
Drug Saf (2019)
MLDSP-GUI: An alignment-free standalone tool with an interactive graphical user interface for DNA sequence comparison and analysis
Randhawa, Hill, Kari
Bioinformatics (2019)
External Validation of PATHFx Version 3.0 in Patients Treated Surgically and Non-surgically for Symptomatic Skeletal Metastases
Anderson, Wedin, Fabbri et al
Clin. Orthop. Relat. Res. (2019)
Artificial intelligence and neural networks in urology: current clinical applications
Checcucci, Autorino, Cacciamani et al
Minerva Urol Nefrol (2019)
Density Functional Theory as a Data Science
Tsuneda
Chem Rec (2019)
Learning-based biomarker-assisted rules for optimized clinical benefit under a risk-constraint
Wang, Zhao, Zheng
Biometrics (2019)
The Lancaster Sensorimotor Norms: multidimensional measures of perceptual and action strength for 40,000 English words
Lynott, Connell, Brysbaert et al
Behav Res Methods (2019)
Machine learning methods are comparable to logistic regression techniques in predicting severe walking limitation following total knee arthroplasty
Pua, Kang, Thumboo et al
Knee Surg Sports Traumatol Arthrosc (2019)
Artificial Neural Networks to Assess Virtual Reality Anterior Cervical Discectomy Performance
Mirchi, Bissonnette, Ledwos et al
Oper Neurosurg (Hagerstown) (2019)
Windows Into Human Health Through Wearables Data Analytics
Witt, Kellogg, Snyder et al
Curr Opin Biomed Eng (2019) 9, 28-46
A noninvasive, machine learning-based method for monitoring anthocyanin accumulation in plants using digital color imaging
Askey, Dai, Lee et al
Appl Plant Sci (2019) 7, e11301
Chronic inflammation: key player and biomarker-set to predict and prevent cancer development and progression based on individualized patient profiles
Qian, Golubnitschaja, Zhan
EPMA J (2019) 10, 365-381
Machine learning driven non-invasive approach of water content estimation in living plant leaves using terahertz waves
Zahid, Abbas, Ren et al
Plant Methods (2019) 15, 138