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Richard James Maude
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2020 – today
- 2021
- [j2]Yasmin M. Kassim, Kannappan Palaniappan, Feng Yang, Mahdieh Poostchi, Nila Palaniappan, Richard James Maude, Sameer K. Antani, Stefan Jäger:
Clustering-Based Dual Deep Learning Architecture for Detecting Red Blood Cells in Malaria Diagnostic Smears. IEEE J. Biomed. Health Informatics 25(5): 1735-1746 (2021) - [c11]Deniz Kavzak Ufuktepe, Feng Yang, Yasmin M. Kassim, Hang Yu, Richard James Maude, Kannappan Palaniappan, Stefan Jaeger:
Deep Learning-Based Cell Detection and Extraction in Thin Blood Smears for Malaria Diagnosis. AIPR 2021: 1-6 - [c10]Ratchaneewan Sinitkul, Richard James Maude, Ussanai Nithirochananont:
Design of an Integrated Clinical Research Informatics System for a Multi-Centre and Multi-Visit Prospective Birth Cohort Study. MedInfo 2021: 125-129 - [d1]Feng Yang, Mahdieh Poostchi, Hang Yu, Zhou Zhou, Kamolrat Silamut, Jian Yu, Richard James Maude, Stefan Jaeger, Sameer K. Antani:
Malaria Thick Blood Smears. IEEE DataPort, 2021 - 2020
- [j1]Feng Yang, Mahdieh Poostchi, Hang Yu, Zhou Zhou, Kamolrat Silamut, Jian Yu, Richard James Maude, Stefan Jäger, Sameer K. Antani:
Deep Learning for Smartphone-Based Malaria Parasite Detection in Thick Blood Smears. IEEE J. Biomed. Health Informatics 24(5): 1427-1438 (2020) - [c9]Feng Yang, Nicolas Quizon, Hang Yu, Kamolrat Silamut, Richard James Maude, Stefan Jaeger, Sameer K. Antani:
Cascading YOLO: automated malaria parasite detection for Plasmodium vivax in thin blood smears. Medical Imaging: Computer-Aided Diagnosis 2020
2010 – 2019
- 2019
- [c8]Feng Yang, Hang Yu, Kamolrat Silamut, Richard James Maude, Stefan Jäger, Sameer K. Antani:
Parasite Detection in Thick Blood Smears Based on Customized Faster-RCNN on Smartphones. AIPR 2019: 1-4 - [c7]Feng Yang, Hang Yu, Kamolrat Silamut, Richard James Maude, Stefan Jaeger, Sameer K. Antani:
Smartphone-Supported Malaria Diagnosis Based on Deep Learning. MLMI@MICCAI 2019: 73-80 - 2018
- [c6]Yasmin M. Kassim, Richard James Maude, Kannappan Palaniappan:
Sensitivity of Cross-Trained Deep CNNs for Retinal Vessel Extraction. EMBC 2018: 2736-2739 - [c5]Golnaz Moallem, Hamed Sari-Sarraf, Mahdieh Poostchi, Richard James Maude, Kamolrat Silamut, Md Amir Hossain, Sameer K. Antani, Stefan Jaeger, George R. Thoma:
Detecting and segmenting overlapping red blood cells in microscopic images of thin blood smears. Medical Imaging: Digital Pathology 2018: 105811F - 2017
- [c4]Golnaz Moallem, Mahdieh Poostchi, Hang Yu, Kamolrat Silamut, Nila Palaniappan, Sameer K. Antani, Md Amir Hossain, Richard James Maude, Stefan Jaeger, George R. Thoma:
Detecting and Segmenting White Blood Cells in Microscopy Images of Thin Blood Smears. AIPR 2017: 1-8 - 2016
- [c3]Zhaohui Liang, Andrew Powell, Ilker Ersoy, Mahdieh Poostchi, Kamolrat Silamut, Kannappan Palaniappan, Peng Guo, Md Amir Hossain, Sameer K. Antani, Richard James Maude, Jimmy Xiangji Huang, Stefan Jaeger, George R. Thoma:
CNN-based image analysis for malaria diagnosis. BIBM 2016: 493-496 - [c2]Yasmin M. Kassim, V. B. Surya Prasath, Rengarajan Pelapur, Olga V. Glinskii, Richard James Maude, Vladislav V. Glinsky, Virginia H. Huxley, Kannappan Palaniappan:
Random forests for dura mater microvasculature segmentation using epifluorescence images. EMBC 2016: 2901-2904 - [c1]Sachin Meena, V. B. Surya Prasath, Yasmin M. Kassim, Richard James Maude, Olga V. Glinskii, Vladislav V. Glinsky, Virginia H. Huxley, Kannappan Palaniappan:
Multiquadric spline-based interactive segmentation of vascular networks. EMBC 2016: 5913-5916 - 2013
- [b1]Richard James Maude:
Malaria elimination modelling in the context of antimalarial drug resistance. University of Oxford, UK, 2013
Coauthor Index
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