Malaria is caused by parasites that are transmitted through the bites of infected mosquitoes. With about 200 million cases worldwide, and about 400,000 deaths per year, malaria is a major burden on global health. Most deaths occur among children in Africa, where a child dies almost every minute from malaria, and where malaria is a leading cause of childhood neuro-disability. Typical symptoms of malaria include fever, fatigue, headaches, and in severe cases seizures, coma, and death.
Rajaraman S, Silamut K, Hossain MA, Ersoy I, Maude RJ, Jaeger S, Thoma GR, Antani SK. Understanding the learned behavior of customized convolutional neural networks toward malaria parasite detection in thin blood smear images. J Med Imaging (Bellingham). 2018 Jul;5(3):034501. doi: 10.1117/1.JMI.5.3.034501. Epub 2018 Jul 18.
Abstract | pub9809.pdf | PMID: 30035153 | PMCID: PMC6050500
Rajaraman S, Antani SK, Poostchi Mohammadabadi M, Silamut K, Hossain MA, Maude RJ, Jaeger S, Thoma GR. Pre-trained convolutional neural networks as feature extractors toward improved malaria parasite detection in thin blood smear images. PeerJ. 2018 Apr 16;6:e4568. doi: 10.7717/peerj.4568. eCollection 2018.
Abstract | pub9752.pdf | PMID: 29682411 | PMCID: PMC5907772
Poostchi M, Silamut K, Maude RJ, Jaeger S, Thoma GR. Image analysis and machine learning for detecting malaria. Transl Res. 2018 Apr;194:36-55. doi: 10.1016/j.trsl.2017.12.004. Epub 2018 Jan 12.
Abstract | pub9624.pdf | PMID: 29360430 | PMCID: PMC5840030
Moallem G, Poostchi M, Yu H, Silamut K, Palaniappan N, Antani SK, Hossain Md Amir, Maude RJ, Jaeger S, Thoma GR. Detecting and Segmenting White Blood Cells in Microscopy Images of Thin Blood Smears. Applied Imagery Pattern Recognition Workshop (AIPR), 2017
Abstract | pub9620.pdf
Rajaraman S, Antani SK, Jaeger S. Visualizing Deep Learning Activations for Improved Malaria Cell Classification. Proceedings of The First Workshop in Medical Informatics and Healthcare (MIH 2017), Proceedings of Machine Learning Research (PMLR), v. 69, p. 40-47.
Abstract | Visualizing_DL_activations_for_improved_malaria_cell_classification.pdf
Liang Z, Powell A, Ersoy I, Poostchi M, Silamut K, Palaniappan K, Guo P, Hossain M, Antani SK, Maude R, Huang J, Jaeger S, Thoma GR. CNN-Based Image Analysis for Malaria Diagnosis. IEEE International Conference on Bioinformatics & Biomedicine (BIBM), Shenzhen, China, 2016.
Abstract | pub9433.pdf
Jaeger S, Silamut K, Yu H, Poostchi Mohammadabadi M, Ersoy I, Powell A, Liang Z, Hossain M, Antani SK, Palaniappan K, Maude R, Thoma GR. Reducing the Diagnostic Burden of Malaria Using Microscopy Image Analysis and Machine Learning in the Field [Poster]. Annual Meeting of the American Society of Tropical Medicine & Hygiene (ASTMH), Atlanta, USA, 2016.
Abstract | pub9432.pdf
Gordon, E, Ersoy, I, Jaeger S, Waisberg, M, Pena, M, Thoma GR, Antani SK, Pierce, S, Palaniappan, K. Retinal Microcirculation Dynamics During an Active Malarial Infection [Poster]. Annual Meeting of the American Society of Tropical Medicine and Hygiene (ASTMH), 2014.
Gordon E, Waisberg M, Ersoy I, Pena M, Jaeger S, Pierce S. The eye as a window to investigate the CNS microvasculature during a dynamic malaria infection (Abstract). Third Annual Seminar on Molecular Imaging of Infectious Diseases, September 23, 2013.
Abstract | pub8969.pdf
Richard Maude (University of Oxford, UK)
Ilker Ersoy (University of Missouri)