Richard James Maude

15 papers Journal 3Unranked 11

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Why the growth of arboviral diseases necessitates a new generation of global risk maps and future projections. PLoS Comput. Biol. Oliver J. Brady, Leonardo S. Bastos, Jamie M. Caldwell, Simon Cauchemez, Hannah E. Clapham, Illaria Dorigatti, Katy A. M. Gaythorpe, Wenbiao Hu, Laith Hussain-Alkhateeb, Michael A. Johansson, Ahyoung Lim, Velma K. Lopez, Richard James Maude, Jane P. Messina, Erin A. Mordecai, A. Townsend Peterson, Isabel Rodriquez-Barraquer, Ingrid B. Rabe, Diana P. Rojas, Sadie J. Ryan, Henrik Salje, Jan C. Semenza, Quan Minh Tran
2021	J	`jnl`	Clustering-Based Dual Deep Learning Architecture for Detecting Red Blood Cells in Malaria Diagnostic Smears. IEEE J. Biomed. Health Informatics Yasmin M. Kassim, Kannappan Palaniappan, Feng Yang, Mahdieh Poostchi, Nila Palaniappan, Richard James Maude, Sameer K. Antani, Stefan Jäger
2021	—	`conf`	Deep Learning-Based Cell Detection and Extraction in Thin Blood Smears for Malaria Diagnosis. AIPR Deniz Kavzak Ufuktepe, Feng Yang, Yasmin M. Kassim, Hang Yu, Richard James Maude, Kannappan Palaniappan, Stefan Jaeger
2021	—	`conf`	Design of an Integrated Clinical Research Informatics System for a Multi-Centre and Multi-Visit Prospective Birth Cohort Study. MedInfo Ratchaneewan Sinitkul, Richard James Maude, Ussanai Nithirochananont
2020	—	`conf`	Cascading YOLO: automated malaria parasite detection for Plasmodium vivax in thin blood smears. Computer-Aided Diagnosis Feng Yang, Nicolas Quizon, Hang Yu, Kamolrat Silamut, Richard James Maude, Stefan Jaeger, Sameer K. Antani
2020	J	`jnl`	Deep Learning for Smartphone-Based Malaria Parasite Detection in Thick Blood Smears. IEEE J. Biomed. Health Informatics Feng Yang, Mahdieh Poostchi, Hang Yu, Zhou Zhou, Kamolrat Silamut, Jian Yu, Richard James Maude, Stefan Jäger, Sameer K. Antani
2019	—	`conf`	Parasite Detection in Thick Blood Smears Based on Customized Faster-RCNN on Smartphones. AIPR Feng Yang, Hang Yu, Kamolrat Silamut, Richard James Maude, Stefan Jäger, Sameer K. Antani
2019	—	`conf`	Smartphone-Supported Malaria Diagnosis Based on Deep Learning. MLMI@MICCAI Feng Yang, Hang Yu, Kamolrat Silamut, Richard James Maude, Stefan Jaeger, Sameer K. Antani
2018	—	`conf`	Detecting and segmenting overlapping red blood cells in microscopic images of thin blood smears. Digital Pathology Golnaz Moallem, Hamed Sari-Sarraf, Mahdieh Poostchi, Richard James Maude, Kamolrat Silamut, Md Amir Hossain, Sameer K. Antani, Stefan Jaeger, George R. Thoma
2018	—	`conf`	Sensitivity of Cross-Trained Deep CNNs for Retinal Vessel Extraction. EMBC Yasmin M. Kassim, Richard James Maude, Kannappan Palaniappan
2017	—	`conf`	Detecting and Segmenting White Blood Cells in Microscopy Images of Thin Blood Smears. AIPR Golnaz Moallem, Mahdieh Poostchi, Hang Yu, Kamolrat Silamut, Nila Palaniappan, Sameer K. Antani, Md Amir Hossain, Richard James Maude, Stefan Jaeger, George R. Thoma
2016	—	`conf`	CNN-based image analysis for malaria diagnosis. BIBM 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
2016	—	`conf`	Multiquadric spline-based interactive segmentation of vascular networks. EMBC Sachin Meena, V. B. Surya Prasath, Yasmin M. Kassim, Richard James Maude, Olga V. Glinskii, Vladislav V. Glinsky, Virginia H. Huxley, Kannappan Palaniappan
2016	—	`conf`	Random forests for dura mater microvasculature segmentation using epifluorescence images. EMBC Yasmin M. Kassim, V. B. Surya Prasath, Rengarajan Pelapur, Olga V. Glinskii, Richard James Maude, Vladislav V. Glinsky, Virginia H. Huxley, Kannappan Palaniappan
2013	—	`—`	Malaria elimination modelling in the context of antimalarial drug resistance. Richard James Maude