about
Design of a Functional Training Prototype for Neonatal ResuscitationPre-trained convolutional neural networks as feature extractors toward improved malaria parasite detection in thin blood smear images.Understanding the learned behavior of customized convolutional neural networks toward malaria parasite detection in thin blood smear imagesPerformance evaluation of deep neural ensembles toward malaria parasite detection in thin-blood smear images.Modality-specific deep learning model ensembles toward improving TB detection in chest radiographsAssessment of Data Augmentation Strategies Toward Performance Improvement of Abnormality Classification in Chest RadiographsAssessment of an ensemble of machine learning models toward abnormality detection in chest radiographsVisual Interpretation of Convolutional Neural Network Predictions in Classifying Medical Image ModalitiesTraining deep learning algorithms with weakly labeled pneumonia chest X-ray data for COVID-19 detectionVisualization and Interpretation of Convolutional Neural Network Predictions in Detecting Pneumonia in Pediatric Chest Radiographs
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description
researcher
@en
wetenschapper
@nl
հետազոտող
@hy
name
Sivaramakrishnan Rajaraman
@ast
Sivaramakrishnan Rajaraman
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Sivaramakrishnan Rajaraman
@es
Sivaramakrishnan Rajaraman
@nl
type
label
Sivaramakrishnan Rajaraman
@ast
Sivaramakrishnan Rajaraman
@en
Sivaramakrishnan Rajaraman
@es
Sivaramakrishnan Rajaraman
@nl
prefLabel
Sivaramakrishnan Rajaraman
@ast
Sivaramakrishnan Rajaraman
@en
Sivaramakrishnan Rajaraman
@es
Sivaramakrishnan Rajaraman
@nl
P106
P1153
51764361200
P2456
P31
P496
0000-0003-0871-8634