Image-based cell phenotyping with deep learning
Pratapa A, Doron M, Caicedo J. Image-based cell phenotyping with deep learning. 2021.
Jerry Li
MIT SuperUROP
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Cell Painting predicts impact of lung cancer variants
Caicedo JC, Arevalo J, Piccioni F, Bray M-A, Hartland CL, Wu X, Brooks AN, Berger AH, Boehm JS, Carpenter A, et al. Cell Painting predicts impact of lung cancer variants. Molecular Biology of the Cell. 2022;(6).
Evaluation of Deep Learning Strategies for Nucleus Segmentation in Fluorescence Images
Caicedo J, Roth J, Goodman A, Becker T, Karhohs K, Broisin M, Molnar C, McQuin C, Sing S, Theis F, et al. Evaluation of Deep Learning Strategies for Nucleus Segmentation in Fluorescence Images. Cytometry Part A. 2019;95(9):952–965.
Sultan Kenjeyev
Orysell Rivera
Alex Quach
MIT SuperUROP
Out of Distribution Generalization via Interventional Style Transfer in Single-Cell Microscopy
Pernice WM, Doron M, Quach A, Pratapa A, Kenjeyev S, De Veaux N, Hirano M, Caicedo JC. Out of Distribution Generalization via Interventional Style Transfer in Single-Cell Microscopy. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops. 2023.
Learning representations for image-based profiling of perturbations
Moshkov N, Bornholdt M, Benoit S, Smith M, McQuin C, Goodman A, Senft R, Han Y, Babadi M, Horvath P, et al. Learning representations for image-based profiling of perturbations. bioRxiv. 2022.