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Bevan Leslie Cheeseman
Bevan Leslie Cheeseman
Potvrđena adresa e-pošte na mpi-cbg.de - Početna stranica
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Citirano
Citirano
Godina
Variation in traction forces during cell cycle progression
B Vianay, F Senger, S Alamos, M Anjur‐Dietrich, E Bearce, B Cheeseman, ...
Biology of the Cell 110 (4), 91-96, 2018
512018
Cell lineage tracing in the developing enteric nervous system: superstars revealed by experiment and simulation
BL Cheeseman, D Zhang, BJ Binder, DF Newgreen, KA Landman
Journal of The Royal Society Interface 11 (93), 20130815, 2014
462014
Using DC PSE operator discretization in Eulerian meshless collocation methods improves their robustness in complex geometries
GC Bourantas, BL Cheeseman, R Ramaswamy, IF Sbalzarini
Computers & Fluids 136, 285-300, 2016
342016
Dynamic stepwise opening of integron attC DNA hairpins by SSB prevents toxicity and ensures functionality
MS Grieb, A Nivina, BL Cheeseman, A Hartmann, D Mazel, M Schlierf
Nucleic acids research 45 (18), 10555-10563, 2017
292017
Stability selection enables robust learning of partial differential equations from limited noisy data
S Maddu, BL Cheeseman, IF Sbalzarini, CL Müller
arXiv preprint arXiv:1907.07810, 2019
252019
Learning physically consistent differential equation models from data using group sparsity
S Maddu, BL Cheeseman, CL Müller, IF Sbalzarini
Physical Review E 103 (4), 042310, 2021
182021
Adaptive particle representation of fluorescence microscopy images
BL Cheeseman, U Günther, K Gonciarz, M Susik, IF Sbalzarini
Nature communications 9 (1), 5160, 2018
182018
Multivariate Newton interpolation
M Hecht, KB Hoffmann, BL Cheeseman, IF Sbalzarini
arXiv preprint arXiv:1812.04256, 2018
162018
Spatial and temporal dynamics of cell generations within an invasion wave: a link to cell lineage tracing
BL Cheeseman, DF Newgreen, KA Landman
Journal of Theoretical Biology 363, 344-356, 2014
162014
Stability selection enables robust learning of differential equations from limited noisy data
S Maddu, BL Cheeseman, IF Sbalzarini, CL Müller
Proceedings of the Royal Society A 478 (2262), 20210916, 2022
152022
A quadratic-time algorithm for general multivariate polynomial interpolation
M Hecht, BL Cheeseman, KB Hoffmann, IF Sbalzarini
arXiv preprint arXiv:1710.10846, 2017
142017
Differential clonal expansion in an invading cell population: clonal advantage or dumb luck?
DF Newgreen, D Zhang, BL Cheeseman, BJ Binder, KA Landman
Cells Tissues Organs 203 (2), 105-113, 2017
112017
Stochastic clonal expansion of “superstars” enhances the reserve capacity of enteric nervous system precursor cells
D Zhang, JM Osborne, KD Abu-Bonsrah, BL Cheeseman, KA Landman, ...
Developmental biology 444, S287-S296, 2018
72018
STENCIL-NET: data-driven solution-adaptive discretization of partial differential equations
S Maddu, D Sturm, BL Cheeseman, CL Müller, IF Sbalzarini
arXiv preprint arXiv:2101.06182, 2021
62021
STENCIL-NET for equation-free forecasting from data
S Maddu, D Sturm, BL Cheeseman, CL Müller, IF Sbalzarini
Scientific Reports 13 (1), 12787, 2023
22023
Parallel discrete convolutions on adaptive particle representations of images
J Jonsson, BL Cheeseman, S Maddu, K Gonciarz, IF Sbalzarini
IEEE Transactions on Image Processing 31, 4197-4212, 2022
22022
Efficient image analysis for large-scale next generation histopathology using pAPRica
J Scholler, J Jonsson, T Jordá-Siquier, I Gantar, L Batti, BL Cheeseman, ...
bioRxiv, 2023.01. 27.525687, 2023
12023
Forget pixels: adaptive particle representation of fluorescence microscopy images
BL Cheeseman, U Günther, M Susik, K Gonciarz, IF Sbalzarini
bioRxiv, 263061, 2018
12018
Image Compression and Analysis
JRR Scholler, JAC Jonsson, BL Cheeseman, IF Sbalzarini, CM Lamy
US Patent App. 18/337,883, 2023
2023
Learning Computable Models From Data
S Maddu, D Sturm, BL Cheeseman, CL Müller, IF Sbalzarini
14th World Congress in Computational Mechanics (WCCM), ECCOMAS Congress 2020 …, 2021
2021
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