Image segmentation of liver stage malaria infection with spatial uncertainty sampling

Cellprofiler: image analysis software for identifying and quantifying cell phenotypes

Carpenter, A. E., Jones, T. R., Lamprecht, M. R., Clarke, C., Kang, I. H., Friman, O., Guertin, D. A., Chang, J. H., Lindquist, R. A., Moffat, J., et al · 2006

Earlier work this paper cites.

Targeting the hypnozoite reservoir of plasmodium vivax: the hidden obstacle to malaria elimination

Wells, T. N., Burrows, J. N., and Baird, J. K · 2010

Earlier work this paper cites.

A research agenda for malaria eradication: drugs

Alonso, P. L., Bassat, Q., Binka, F., Brewer, T., Chandra, R., Culpepper, J., Dinglasan, R., Duncan, K., Duparc, S., Fukuda, M., et al · 2011

Earlier work this paper cites.

Imaging of plasmodium liver stages to drive next-generation antimalarial drug discovery

Meister, S., Plouffe, D. M., Kuhen, K. L., Bonamy, G. M., Wu, T., Barnes, S. W., Bopp, S. E., Borboa, R., Bright, A. T., Che, J., et al · 2011

Earlier work this paper cites.

Adaptive local thresholding for detection of nuclei in diversity stained cytology images

Phansalkar, N., More, S., Sabale, A., and Joshi, M · 2011

Earlier work this paper cites.

Deep neural networks segment neuronal membranes in electron microscopy images

Ciresan, D., Giusti, A., Gambardella, L. M., and Schmidhuber, J · 2012

Cited alongside, same era.

Bayesian convolutional neural networks with bernoulli approximate variational inference

Original

Gal, Y. and Ghahramani, Z · 2015

Cited alongside, same era.

U-net: Convolutional networks for biomedical image segmentation

Ronneberger, O., Fischer, P., and Brox, T · 2015

Cited alongside, same era.

Efficient object localization using convolutional networks

Tompson, J., Goroshin, R., Jain, A., LeCun, Y., and Bregler, C · 2015

Cited alongside, same era.

What uncertainties do we need in bayesian deep learning for computer vision?

Kendall, A. and Gal, Y · 2017

Cited alongside, same era.

Dropout as a bayesian approximation: Representing model uncertainty in deep learning

Spatial uncertainty sampling for end-to-end control

Original

Amini, A., Soleimany, A., Karaman, S., and Rus, D · 2018

Later among the works it cites.

Open-source discovery of chemical leads for next-generation chemoprotective antimalarials

Antonova-Koch, Y., Meister, S., Abraham, M., Luth, M. R., Ottilie, S., Lukens, A. K., Sakata-Kato, T., Vanaerschot, M., Owen, E., Jado, J. C., et al · 2018

Later among the works it cites.

In vitro culture, drug sensitivity, and transcriptome of plasmodium vivax hypnozoites

Gural, N., Mancio-Silva, L., Miller, A. B., Galstian, A., Butty, V. L., Levine, S. S., Patrapuvich, R., Desai, S. P., Mikolajczak, S. A., Kappe, S. H., et al · 2018

Later among the works it cites.

A comprehensive model for assessment of liver stage therapies targeting plasmodium vivax and plasmodium falciparum

Roth, A., Maher, S. P., Conway, A. J., Ubalee, R., Chaumeau, V., Andolina, C., Kaba, S. A., Vantaux, A., Bakowski, M. A., Luque, R. T., et al · 2018

Later among the works it cites.

World malaria report 2018