Deep Learning Enhanced Extended Depth-of-Field for Thick Blood-Film Malaria High-Throughput Microscopy. - Petru Manescu; Lydia Neary-Zajiczek; Michael J. Shaw; Muna Elmi; Remy Claveau; Vijay Pawar; John Shawe-Taylor; Iasonas Kokkinos; Mandayam A. Srinivasan; Ikeoluwa Lagunju; Olugbemiro Sodeinde; Biobele J. Brown; et al. (CoRR, 2019)

Data-Driven Malaria Prevalence Prediction in Large Densely-Populated Urban Holoendemic sub-Saharan West Africa: Harnessing Machine Learning Approaches and 22-years of Prospectively Collected Data. - Biobele J. Brown; Alexander A. Przybylski; Petru Manescu; Fabio Caccioli; Gbeminiyi Oyinloye; Muna Elmi; Michael J. Shaw; Vijay Pawar; Remy Claveau; John Shawe-Taylor; Mandayam A. Srinivasan; Nathaniel K. Afolabi; et al. (CoRR, 2019)

A Weakly Supervised Deep Learning Approach for Detecting Malaria and Sickle Cells in Blood Films. - Petru Manescu; Christopher Bendkowski; Remy Claveau; Muna Elmi; Biobele J. Brown; Vijay Pawar; Mike J. Shaw; Delmiro Fernandez-Reyes (MICCAI (5), 2020)

Automated Detection of Acute Promyelocytic Leukemia in Blood Films and Bone Marrow Aspirates with Annotation-free Deep Learning. - Petru Manescu; Priya Narayanan; Christopher Bendkowski; Muna Elmi; Remy Claveau; Vijay Pawar; Biobele J. Brown; Mike J. Shaw; Anupama Rao; Delmiro Fernandez-Reyes (CoRR, 2022)