Richard James Maude

Orcid: 0000-0002-5355-0562

According to our database1, Richard James Maude authored at least 15 papers between 2013 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Online presence:

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Bibliography

2021

Clustering-Based Dual Deep Learning Architecture for Detecting Red Blood Cells in Malaria Diagnostic Smears.
IEEE J. Biomed. Health Informatics, 2021

Design of an Integrated Clinical Research Informatics System for a Multi-Centre and Multi-Visit Prospective Birth Cohort Study.
Proceedings of the MEDINFO 2021: One World, One Health - Global Partnership for Digital Innovation, 2021

Deep Learning-Based Cell Detection and Extraction in Thin Blood Smears for Malaria Diagnosis.
Proceedings of the 50th IEEE Applied Imagery Pattern Recognition Workshop, 2021

2020
Deep Learning for Smartphone-Based Malaria Parasite Detection in Thick Blood Smears.
IEEE J. Biomed. Health Informatics, 2020

Cascading YOLO: automated malaria parasite detection for Plasmodium vivax in thin blood smears.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

2019
Smartphone-Supported Malaria Diagnosis Based on Deep Learning.
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

Parasite Detection in Thick Blood Smears Based on Customized Faster-RCNN on Smartphones.
Proceedings of the 48th IEEE Applied Imagery Pattern Recognition Workshop, 2019

2018
Detecting and segmenting overlapping red blood cells in microscopic images of thin blood smears.
Proceedings of the Medical Imaging 2018: Digital Pathology, 2018

Sensitivity of Cross-Trained Deep CNNs for Retinal Vessel Extraction.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2017
Detecting and Segmenting White Blood Cells in Microscopy Images of Thin Blood Smears.
Proceedings of the 2017 IEEE Applied Imagery Pattern Recognition Workshop, 2017

2016
Multiquadric spline-based interactive segmentation of vascular networks.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

Random forests for dura mater microvasculature segmentation using epifluorescence images.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

CNN-based image analysis for malaria diagnosis.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

2013
Malaria elimination modelling in the context of antimalarial drug resistance.
PhD thesis, 2013


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