Identifying incidental findings from radiology reports of trauma patients: An evaluation of automated feature representation methods
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Int J Med Inform (2019) 129, 81-87
Interpretable deep learning to map diagnostic texts to ICD-10 codes
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Int J Med Inform (2019) 129, 49-59
Categorization of free-text drug orders using character-level recurrent neural networks
Raiskin, Eickhoff, Beeler
Int J Med Inform (2019) 129, 20-28
A decision support system for predicting the treatment of ectopic pregnancies
De Ramón Fernández, Ruiz Fernández, Prieto Sánchez
Int J Med Inform (2019) 129, 198-204
Measuring the effect of different types of unsupervised word representations on Medical Named Entity Recognition
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Int J Med Inform (2019) 129, 100-106
HypernasalityNet: Deep recurrent neural network for automatic hypernasality detection
Wang, Yang, Tang et al
Int J Med Inform (2019) 129, 1-12
Sensory processing and categorization in cortical and deep neural networks
Pinotsis, Siegel, Miller
Neuroimage (2019)
Real-time automated diagnosis of precancerous lesion and early esophageal squamous cell carcinoma using a deep learning model (with videos)
Guo, Xiao, Wu et al
Gastrointest. Endosc. (2019)
Deep Learning Classifiers for Automated Detection of Gonioscopic Angle Closure Based on Anterior Segment OCT Images
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Am. J. Ophthalmol. (2019)
Automatic radiomic feature extraction using deep learning for angiographic parametric imaging of intracranial aneurysms
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J Neurointerv Surg (2019)
Quantitative Ultrasound Image Analysis of Axillary Lymph Nodes to Diagnose Metastatic Involvement in Breast Cancer
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Ultrasound Med Biol (2019)
TTTS-GPS: Patient-specific preoperative planning and simulation platform for twin-to-twin transfusion syndrome fetal surgery
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Comput Methods Programs Biomed (2019) 179, 104993
Mutual Information based hybrid model and deep learning for Acute Lymphocytic Leukemia detection in single cell blood smear images
Jha, Dutta
Comput Methods Programs Biomed (2019) 179, 104987
Is it possible to detect cerebral dominance via EEG signals by using deep learning?
Toraman, Tuncer, Balgetir
Med. Hypotheses (2019) 131, 109315
Predicting Drug-target Interaction Using a Novel Graph Neural Network with 3D Structure-embedded Graph Representation
Lim, Ryu, Park et al
J Chem Inf Model (2019)
Classification of Alzheimer's Disease with and without Imagery using Gradient Boosted Machines and ResNet-50
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Brain Sci (2019) 9,
Guided Wave-Convolutional Neural Network Based Fatigue Crack Diagnosis of Aircraft Structures
Xu, Yuan, Chen et al
Sensors (Basel) (2019) 19,
Deep Learning for Detecting Building Defects Using Convolutional Neural Networks
Perez, Tah, Mosavi
Sensors (Basel) (2019) 19,
Automated classification of gastric neoplasms in endoscopic images using a convolutional neural network
Cho, Bang, Park et al
Endoscopy (2019)
Real-Time Object Detection With Reduced Region Proposal Network via Multi-Feature Concatenation
Shih, Chiu, Lin et al
IEEE Trans Neural Netw Learn Syst (2019)