Articles with public access mandates - Mohammad Hossein RohbanLearn more
Available somewhere: 16
Data-analysis strategies for image-based cell profiling
JC Caicedo, S Cooper, F Heigwer, S Warchal, P Qiu, C Molnar, ...
Nature methods 14 (9), 849-863, 2017
Mandates: US National Science Foundation, US National Institutes of Health, UK …
Nucleus segmentation across imaging experiments: the 2018 Data Science Bowl
JC Caicedo, A Goodman, KW Karhohs, BA Cimini, J Ackerman, ...
Nature methods 16 (12), 1247-1253, 2019
Mandates: US National Institutes of Health
A dataset of images and morphological profiles of 30 000 small-molecule treatments using the Cell Painting assay
MA Bray, SM Gustafsdottir, MH Rohban, S Singh, V Ljosa, KL Sokolnicki, ...
Gigascience 6 (12), 1-5, 2017
Mandates: US National Science Foundation, US National Institutes of Health
Systematic morphological profiling of human gene and allele function via Cell Painting
MH Rohban, S Singh, X Wu, JB Berthet, MA Bray, Y Shrestha, X Varelas, ...
Elife 6, e24060, 2017
Mandates: US National Science Foundation, US National Institutes of Health
Morphology and gene expression profiling provide complementary information for mapping cell state
GP Way, T Natoli, A Adeboye, L Litichevskiy, A Yang, X Lu, JC Caicedo, ...
Cell systems 13 (11), 911-923. e9, 2022
Mandates: US National Institutes of Health
Capturing single-cell heterogeneity via data fusion improves image-based profiling
MH Rohban, HS Abbasi, S Singh, AE Carpenter
Nature communications 10 (1), 2082, 2019
Mandates: US National Institutes of Health
Virtual screening for small-molecule pathway regulators by image-profile matching
MH Rohban, AM Fuller, C Tan, JT Goldstein, D Syangtan, A Gutnick, ...
Cell systems 13 (9), 724-736. e9, 2022
Mandates: US National Science Foundation, US National Institutes of Health, Canadian …
Early detection of excess nitrogen consumption in cucumber plants using hyperspectral imaging based on hybrid neural networks and the imperialist competitive algorithm
S Sabzi, R Pourdarbani, MH Rohban, G García-Mateos, J Paliwal, ...
Agronomy 11 (3), 575, 2021
Mandates: Government of Spain
Minimax optimal sparse signal recovery with Poisson statistics
MH Rohban, V Saligrama, DM Vaziri
IEEE Transactions on Signal Processing 64 (13), 3495-3508, 2016
Mandates: US National Science Foundation
Using metaheuristic algorithms to improve the estimation of acidity in Fuji apples using NIR spectroscopy
R Pourdarbani, S Sabzi, MH Rohban, G Garcia-Mateos, J Paliwal, ...
Ain Shams Engineering Journal 13 (6), 101776, 2022
Mandates: Government of Spain
One-dimensional convolutional neural networks for hyperspectral analysis of nitrogen in plant leaves
R Pourdarbani, S Sabzi, MH Rohban, JL Hernández-Hernández, ...
Applied Sciences 11 (24), 11853, 2021
Mandates: Government of Spain
Nondestructive nitrogen content estimation in tomato plant leaves by Vis-NIR hyperspectral imaging and regression data models
R Pourdarbani, S Sabzi, MH Rohban, G García-Mateos, JI Arribas
Applied Optics 60 (30), 9560-9569, 2021
Mandates: Government of Spain
From harvest to market: Non-destructive bruise detection in kiwifruit using convolutional neural networks and hyperspectral imaging
S Ebrahimi, R Pourdarbani, S Sabzi, MH Rohban, JI Arribas
Horticulturae 9 (8), 936, 2023
Mandates: Government of Spain
Metaheuristic algorithms in visible and near infrared spectra to detect excess nitrogen content in tomato plants
R Pourdarbani, S Sabzi, MH Rohban, G García-Mateos, ...
Journal of Near Infrared Spectroscopy 30 (4), 197-207, 2022
Mandates: Government of Spain
A multiparametric activity profiling platform for neuron disease phenotyping and drug screening
B Boivin, KCD Roet, X Huang, KW Karhohs, MH Rohban, J Sandoe, ...
Molecular Biology of the Cell 33 (6), ar54, 2022
Mandates: US Department of Defense, US National Institutes of Health
Systematic morphological profiling of human gene and allele function reveals Hippo-NF-κB pathway connectivity
MH Rohban, S Singh, X Wu, JB Berthet, MA Bray, Y Shrestha, X Varelas, ...
bioRxiv, 092403, 2016
Mandates: US National Science Foundation
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