Artificial intelligence, machine learning & deep learning: Definitions and differences
Jakhar, Kaur
Clin. Exp. Dermatol. (2019)
Evaluation of a Deep Learning System for Identifying Glaucomatous Optic Neuropathy Based on Color Fundus Photographs
Al-Aswad, Kapoor, Chu et al
J. Glaucoma (2019)
Toward a clinical text encoder: pretraining for clinical natural language processing with applications to substance misuse
Dligach, Afshar, Miller
J Am Med Inform Assoc (2019)
ML-Net: multi-label classification of biomedical texts with deep neural networks
Du, Chen, Peng et al
J Am Med Inform Assoc (2019)
Application of deep learning (3-dimensional convolutional neural network) for the prediction of pathological invasiveness in lung adenocarcinoma: A preliminary study
Yanagawa, Niioka, Hata et al
Medicine (Baltimore) (2019) 98, e16119
[Automatic classification method of arrhythmia based on discriminative deep belief networks]
Song, Sun, Wang et al
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi (2019) 36, 444-452
Multi-Institutional Deep Learning Modeling Without Sharing Patient Data: A Feasibility Study on Brain Tumor Segmentation
Sheller, Reina, Edwards et al
Brainlesion (2016) (2019) 11383, 92-104
Combining computer vision and deep learning to enable ultra-scale aerial phenotyping and precision agriculture: A case study of lettuce production
Bauer, Bostrom, Ball et al
Hortic Res (2019) 6, 70
Predicting Inpatient Payments Prior to Lower Extremity Arthroplasty Using Deep Learning: Which Model Architecture Is Best?
Karnuta, Navarro, Haeberle et al
J Arthroplasty (2019)
Endometrium Segmentation on TVUS Image Using Key-point Discriminator
Park, Lee, Kim et al
Med Phys (2019)
Diagnostic accuracy of 3D deep-learning-based fully automated estimation of patient-level minimum fractional flow reserve from coronary computed tomography angiography
Kumamaru, Fujimoto, Otsuka et al
Eur Heart J Cardiovasc Imaging (2019)
Fusing learned representations from Riesz Filters and Deep CNN for lung tissue classification
Joyseeree, Otálora, Müller et al
Med Image Anal (2019) 56, 172-183
Convolutional sparse kernel network for unsupervised medical image analysis
Ahn, Kumar, Fulham et al
Med Image Anal (2019) 56, 140-151
Role of deep learning in infant brain MRI analysis
Mostapha, Styner
Magn Reson Imaging (2019)
Distributed Encoding of Reinforcement
Donovan, Badenhorst, Gruber
Neuroscience (2019)
Deep learning networks find unique mammographic differences in previous negative mammograms between interval and screen-detected cancers: a case-case study
Hinton, Ma, Mahmoudzadeh et al
Cancer Imaging (2019) 19, 41
Cascade interpolation learning with double subspaces and confidence disturbance for imbalanced problems
Wang, Cao
Neural Netw (2019) 118, 17-31
Predicting functional variants in enhancer and promoter elements using RegulomeDB
Dong, Boyle
Hum. Mutat. (2019)
Fully Automatic Liver Attenuation Estimation combing CNN Segmentation and Morphological Operations
Huo, Terry, Wang et al
Med Phys (2019)
KinomeX: a web application for predicting kinome-wide polypharmacology effect of small molecules
Li, Li, Liu et al
Bioinformatics (2019)