Malaria elimination modelling in the context of antimalarial drug resistance. - Richard James Maude (2013)

CNN-based image analysis for malaria diagnosis. - Zhaohui Liang; Andrew Powell 001; Ilker Ersoy; Mahdieh Poostchi; Kamolrat Silamut; Kannappan Palaniappan; Peng Guo; Md Amir Hossain; Sameer K. Antani; Richard James Maude; Jimmy Xiangji Huang; Stefan Jaeger 001; et al. (BIBM, 2016)

Random forests for dura mater microvasculature segmentation using epifluorescence images. - Yasmin M. Kassim; V. B. Surya Prasath; Rengarajan Pelapur; Olga V. Glinskii; Richard James Maude; Vladislav V. Glinsky; Virginia H. Huxley; Kannappan Palaniappan (EMBC, 2016)

Multiquadric spline-based interactive segmentation of vascular networks. - Sachin Meena; V. B. Surya Prasath; Yasmin M. Kassim; Richard James Maude; Olga V. Glinskii; Vladislav V. Glinsky; Virginia H. Huxley; Kannappan Palaniappan (EMBC, 2016)

Detecting and Segmenting White Blood Cells in Microscopy Images of Thin Blood Smears. - Golnaz Moallem; Mahdieh Poostchi; Hang Yu; Kamolrat Silamut; Nila Palaniappan; Sameer K. Antani; Md Amir Hossain; Richard James Maude; Stefan Jaeger 001; George R. Thoma (AIPR, 2017)

Sensitivity of Cross-Trained Deep CNNs for Retinal Vessel Extraction. - Yasmin M. Kassim; Richard James Maude; Kannappan Palaniappan (EMBC, 2018)

Detecting and segmenting overlapping red blood cells in microscopic images of thin blood smears. - Golnaz Moallem; Hamed Sari-Sarraf; Mahdieh Poostchi; Richard James Maude; Kamolrat Silamut; Md Amir Hossain; Sameer K. Antani; Stefan Jaeger 001; George R. Thoma (Digital Pathology, 2018)

Parasite Detection in Thick Blood Smears Based on Customized Faster-RCNN on Smartphones. - Feng Yang 010; Hang Yu; Kamolrat Silamut; Richard James Maude; Stefan Jäger 001; Sameer K. Antani (AIPR, 2019)

Smartphone-Supported Malaria Diagnosis Based on Deep Learning. - Feng Yang 010; Hang Yu; Kamolrat Silamut; Richard James Maude; Stefan Jaeger 001; Sameer K. Antani (MLMI@MICCAI, 2019)

Cascading YOLO: automated malaria parasite detection for Plasmodium vivax in thin blood smears. - Feng Yang 010; Nicolas Quizon; Hang Yu; Kamolrat Silamut; Richard James Maude; Stefan Jaeger 001; Sameer K. Antani (Computer-Aided Diagnosis, 2020)

Deep Learning for Smartphone-Based Malaria Parasite Detection in Thick Blood Smears. - Feng Yang 010; Mahdieh Poostchi; Hang Yu; Zhou Zhou 014; Kamolrat Silamut; Jian Yu 001; Richard James Maude; Stefan Jäger 001; Sameer K. Antani (IEEE J. Biomed. Health Informatics, 2020)

Deep Learning-Based Cell Detection and Extraction in Thin Blood Smears for Malaria Diagnosis. - Deniz Kavzak Ufuktepe; Feng Yang 010; Yasmin M. Kassim; Hang Yu; Richard James Maude; Kannappan Palaniappan; Stefan Jaeger 001 (AIPR, 2021)

Design of an Integrated Clinical Research Informatics System for a Multi-Centre and Multi-Visit Prospective Birth Cohort Study. - Ratchaneewan Sinitkul; Richard James Maude; Ussanai Nithirochananont (MedInfo, 2021)

Clustering-Based Dual Deep Learning Architecture for Detecting Red Blood Cells in Malaria Diagnostic Smears. - Yasmin M. Kassim; Kannappan Palaniappan; Feng Yang 010; Mahdieh Poostchi; Nila Palaniappan; Richard James Maude; Sameer K. Antani; Stefan Jäger 001 (IEEE J. Biomed. Health Informatics, 2021)

Malaria Thick Blood Smears. - Feng Yang 010; Mahdieh Poostchi; Hang Yu; Zhou Zhou 014; Kamolrat Silamut; Jian Yu 001; Richard James Maude; Stefan Jaeger 001; Sameer K. Antani (IEEE DataPort, 2021)

Why the growth of arboviral diseases necessitates a new generation of global risk maps and future projections. - 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; et al. (PLoS Comput. Biol., 2025)