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ahmad sadeghi
ahmad sadeghi
PhD Physics, EPFL
Verified email at epfl.ch
Title
Cited by
Cited by
Year
A convolutional neural network segments yeast microscopy images with high accuracy
N Dietler, M Minder, V Gligorovski, AM Economou, DAHL Joly, A Sadeghi, ...
Nature communications 11 (1), 5723, 2020
832020
The optimal strategy balancing risk and speed predicts DNA damage checkpoint override times
A Sadeghi, R Dervey, V Gligorovski, M Labagnara, SJ Rahi
Nature physics 18 (7), 832-839, 2022
72022
Multidimensional characterization of inducible promoters and a highly light-sensitive LOV-transcription factor
V Gligorovski, A Sadeghi, SJ Rahi
Nature Communications 14 (1), 3810, 2023
62023
YeaZ: A convolutional neural network for highly accurate, label-free segmentation of yeast microscopy images
N Dietler, M Minder, V Gligorovski, AM Economou, DAH Lucien Joly, ...
bioRxiv, 2020.05. 11.082594, 2020
52020
Emergent Weak Scale from Cosmological Evolution and Dimensional Transmutation
A Sadeghi, M Torabian
arXiv preprint arXiv:1512.02948, 2015
32015
Multidimensional single-cell benchmarking of inducible promoters for precise dynamic control in budding yeast
V Gligorovski, A Sadeghi, SJ Rahi
Biorxiv, 2020.08. 16.253310, 2020
22020
Optimal checkpoint strategies balancing risk and speed
A Sadeghi, R Dervey, V Gligorovski, S Rahi
Biophysical Journal 121 (3), 165a, 2022
2022
Principles of checkpoint override
A Sadeghi
EPFL, 2022
2022
Optimizing checkpoint strategies based on first principles predicts experimental DNA damage checkpoint override times
A Sadeghi, R Dervey, V Gligorovski, SJ Rahi
bioRxiv, 2020.08. 14.251504, 2020
2020
Crosstalk Suppression and High-Fidelity Measurement in 2-D Tunneling of Coupled Josephson Junctions
A Sadeghi, H Zandi, S Khorasani
IEEE transactions on applied superconductivity 22 (4), 1700110-1700110, 2012
2012
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Articles 1–10