Frontiers in plant science

Sensors (Basel, Switzerland)

Computers in biology and medicine

jmir medical informatics

ieee transactions on cybernetics

physical review letters

sakarya university journal of computer and information sciences

Plant physiology

neuroimage clinical

Journal of chemical information and modeling

Radiology

magnetic resonance imaging

ieee journal of biomedical and health informatics

computerized medical imaging and graphics : the official journal of the computerized medical imaging society

physiological measurement

journal of the chinese medical association : jcma

Medical image analysis

clinical microbiology and infection : the official publication of the european society of clinical microbiology and infectious diseases

neuroimaging clinics of north america

[1] Deep Learning Performance on Medical Image, Data and Signals

[2] A Deep Learning Approach for Fusing Sensor Data from Screw Compressors.

[3] Survey of Deep-Learning Approaches for Remote Sensing Observation Enhancement.

[4] Using a Large Margin Context-Aware Convolutional Neural Network to Automatically Extract Disease-Disease Association from Literature: Comparative Analytic Study.

[5] Prediction and Interpretable Visualization of Retrosynthetic Reactions using Graph Convolutional Networks.

[6] Deep learning approaches for plethysmography signal quality assessment in the presence of atrial fibrillation.

[7] Point Siamese Network for Person Tracking Using 3D Point Clouds.

[8] Accurate Hand Detection from Single-Color Images by Reconstructing Hand Appearances.

[9] Reply to "The mortality and blood transfusion".

[10] Adversarial Learning for Multiscale Crowd Counting Under Complex Scenes.

[11] An Adversarial Learning Approach to Medical Image Synthesis for Lesion Detection.

[12] Environmental shedding of toxigenic Clostridioides difficile by asymptomatic carriers: A prospective observational study.

[13] A CNN-RNN Framework for Crop Yield Prediction.

[14] PLIN: A Network for Pseudo-LiDAR Point Cloud Interpolation.

[15] Distillation of an End-to-End Oracle for Face Verification and Recognition Sensors.

[16] Addressing database variability in learning from medical data: An ensemble-based approach using convolutional neural networks and a case of study applied to automatic sleep scoring.

[17] AI Augmentation of Radiologist Performance in Distinguishing COVID-19 from Pneumonia of Other Etiology on Chest CT.

[18] Retrieving Quantum Information with Active Learning.

[19] SECOND: Sparsely Embedded Convolutional Detection

[20] Updates on Deep Learning and Glioma: Use of Convolutional Neural Networks to Image Glioma Heterogeneity.

[21] super resolution for root imaging

[22] identification of epileptic eeg signals using convolutional neural networks

[23] Deep neural network models for computational histopathology: A survey.

[24] extraction of urban water bodies from high-resolution remote-sensing imagery using deep learning

[25] a configurable event-driven convolutional node with rate saturation mechanism for modular convnet systems implementation

[26] x-fido: an effective application for detecting olive quick decline syndrome with deep learning and data fusion

[27] A Portable System for the Evaluation of the Degree of Pollution of Transmission Line Insulators

[28] Accurate Hand Detection from Single-Color Images by Reconstructing Hand Appearances

[29] Measuring stomatal and guard cell metrics for plant physiology and growth using StoManager1.

[30] Very Deep Convolutional Neural Networks for Complex Land Cover Mapping Using Multispectral Remote Sensing Imagery

[31] Computer-Aided Detection of Lung Nodules in Chest X-Rays using Deep Convolutional Neural Networks

[32] Pretraining Convolutional Neural Networks for Image-Based Vehicle Classification

[33] Computer-Aided Detection of Lung Nodules in Chest X-Rays using Deep Convolutional Neural Networks

[34] Deep Learning for Detecting Building Defects Using Convolutional Neural Networks.

[35] Dynamic Pixel-wise Weighting-based Fully Convolutional Neural Networks for Left Ventricle Segmentation in Short-axis MRI.

[36] Quantifying the effects of data augmentation and stain color normalization in convolutional neural networks for computational pathology.

[37] Music detection from broadcast contents using convolutional neural networks with a Mel-scale kernel

[38] Car damage analysis for insurance market using convolutional neural networks

[39] Evaluation of deep convolutional neural networks for glaucoma detection

[40] Semi-supervised Transfer Learning for Convolutional Neural Networks for Glaucoma Detection

[41] Automatic classification of dopamine transporter SPECT: deep convolutional neural networks can be trained to be robust with respect to variable image characteristics.

[42] Web3D learning framework for 3D shape retrieval based on hybrid convolutional neural networks

[43] Condition monitoring of wind turbines based on spatio-temporal fusion of SCADA data by convolutional neural networks and gated recurrent units

[44] Annotation of enhanced radiographs for medical image retrieval with deep convolutional neural networks.

[45] Toward Content Based Image Retrieval with Deep Convolutional Neural Networks.

[46] A rotation and translation invariant method for 3D organ image classification using deep convolutional neural networks

[47] Deep Learning Frameworks for Convolutional Neural Networks—A Benchmark Test

[48] Intelligent diagnosis with Chinese electronic medical records based on convolutional neural networks

[49] Predicting the future direction of cell movement with convolutional neural networks.

[50] Utilizing Molecular Network Information via Graph Convolutional Neural Networks to Predict Metastatic Event in Breast Cancer.

[51] Medical knowledge infused convolutional neural networks for cohort selection in clinical trials.

[52] Automatic Vehicle License Plate Extraction Using Region-Based Convolutional Neural Networks and Morphological Operations

[53] Automatic detection of contouring errors using convolutional neural networks.

[54] Multi-task cascaded convolutional neural networks for real-time dynamic face recognition method

[55] Self Multi-Head Attention-based Convolutional Neural Networks for fake news detection.

[56] Multi-channel recurrent convolutional neural networks for energy disaggregation

[57] External validation and transfer learning of convolutional neural networks for computed tomography dental artifact classification.

[58] iEnhancer-ECNN: identifying enhancers and their strength using ensembles of convolutional neural networks.

[59] Integration of Convolutional Neural Networks and Object-Based Post-Classification Refinement for Land Use and Land Cover Mapping with Optical and SAR Data

[60] Application of convolutional neural networks featuring Bayesian optimization for landslide susceptibility assessment

[61] Semantic-based padding in convolutional neural networks for improving the performance in natural language processing. A case of study in sentiment analysis

[62] Day-ahead photovoltaic power forecasting approach based on deep convolutional neural networks and meta learning

[63] Learning a cortical parcellation of the brain robust to the MRI segmentation with convolutional neural networks.

[64] Super-Resolution PET Imaging Using Convolutional Neural Networks.

[65] Automated endoscopic detection and classification of colorectal polyps using convolutional neural networks.

[66] Addressing database variability in learning from medical data: An ensemble-based approach using convolutional neural networks and a case of study applied to automatic sleep scoring.

[67] Identifying Collapsed Buildings Using Post-Earthquake Satellite Imagery and Convolutional Neural Networks: A Case Study of the 2010 Haiti Earthquake

[68] Training Convolutional Neural Networks with Multi-Size Images and Triplet Loss for Remote Sensing Scene Classification

[69] Evaluation of deep convolutional neural networks for glaucoma detection

[70] Smartsec4cop: Smart cyber-grooming detection using natural language processing and convolutional neural networks

[71] Fully automated longitudinal segmentation of new or enlarged multiple sclerosis lesions using 3D convolutional neural networks.

[72] Self-grouping convolutional neural networks.

[73] Updates on Deep Learning and Glioma: Use of Convolutional Neural Networks to Image Glioma Heterogeneity.

[74] identification of epileptic eeg signals using convolutional neural networks

[75] a novel method for recognizing vietnamese voice commands on smartphones with support vector machine and convolutional neural networks

[76] drug-drug interaction extraction via convolutional neural networks

[77] feature extraction and fusion using deep convolutional neural networks for face detection

[78] cnndel: calling structural variations on low coverage data based on convolutional neural networks

[79] RRL: Regional Rotate Layer in Convolutional Neural Networks