Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper
Query: automated malaria diagnosis using convolutional neural networks in an on - field setting .
Computer vision for microscopy diagnosis of malaria
Segmentation of malaria parasites in peripheral blood smear images
Automatic segmentation of malaria parasites on thick blood film using blob analysis
Recent Advances in the Applications of Convolutional Neural Networks to Medical Image Contour Detection
Application of neural networks to image recognition of plant diseases
Identification of rice diseases using deep convolutional neural networks
Food Detection and Recognition Using Convolutional Neural Network
Artificial Neural Networks in Medical Diagnosis
Artificial Neural Network Application in the Diagnosis of Disease Conditions with Liver Ultrasound Images
A Region Based Convolutional Network for Tumor Detection and Classification in Breast Mammography
Automated Diagnosis of Plus Disease in Retinopathy of Prematurity Using Deep Convolutional Neural Networks
Skin diseases diagnosis using artificial neural networks
Spatiotemporal Bayesian networks for malaria prediction.
Healthy and unhealthy red blood cell detection in human blood smears using neural networks
A novel approach for tuberculosis screening based on deep convolutional neural networks
su - f - j - 04 : automated detection of diabetic retinopathy using deep convolutional neural networks .
Assessing a mobile-based deep learning model for plant disease surveillance
Integrated Artificial Intelligence Approaches for Disease Diagnostics
Convolutional Neural Networks In Classifying Cancer Through DNA Methylation
Fully automated classification of mammograms using deep residual neural networks
DeepAR: Probabilistic Forecasting with Autoregressive Recurrent Networks
Navigational Drift Analysis for Visual Odometry
Surface Electromyographic Analysis of Exercises for the Trapezius and Serratus Anterior Muscles
HYDRA: Massively Compositional Model for Cross-Project Defect Prediction
Best practices for convolutional neural networks applied to visual document analysis