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Dubos, Tristan
28  results:
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1

Evolutionarily conserved protein motifs drive interactions ..:

Mermet, Sarah ; Voisin, Maxime ; Mordier, Joris...
The Plant Cell.  35 (2023)  12 - p. 4284-4303 , 2023
Link: https://doi.org/10.1093/..
 
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2

Deep learning ­– promises for 3D nuclear imaging: a guide f..:

Mougeot, Guillaume ; Dubos, Tristan ; Chausse, Frédéric...
Journal of Cell Science.  135 (2022)  7 - p. , 2022
Link: https://doi.org/10.1242/..
 
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3

NODeJ: an ImageJ plugin for 3D segmentation of nuclear obje..:

Dubos, Tristan ; Poulet, Axel ; Thomson, Geoffrey...
BMC Bioinformatics.  23 (2022)  1 - p. , 2022
Link: https://doi.org/10.1186/..
 
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4

Automated 3D bio-imaging analysis of nuclear organization b..:

Dubos, Tristan ; Poulet, Axel ; Gonthier-Gueret, Céline...
Nucleus.  11 (2020)  1 - p. 315-329 , 2020
Link: https://doi.org/10.1080/..
 
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5

Genetic and epigenetic variation in 5S ribosomal RNA genes ..:

Simon, Lauriane ; Rabanal, Fernando A ; Dubos, Tristan...
Nucleic Acids Research.  46 (2018)  6 - p. 3019-3033 , 2018
Link: https://doi.org/10.1093/..
 
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6

Deep learning ­– promises for 3D nuclear imaging: a guide f..:

Mougeot, Guillaume ; Dubos, Tristan ; Chausse, Frédéric...
info:eu-repo/semantics/altIdentifier/doi/10.1242/jcs.258986.  , 2022
Link: https://hal.science/hal-..
 
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7

NODeJ: an ImageJ plugin for 3D segmentation of nuclear obje..:

Dubos, Tristan ; Poulet, Axel ; Thomson, Geoffrey...
info:eu-repo/semantics/altIdentifier/doi/10.1186/s12859-022-04743-6.  , 2022
Link: https://inserm.hal.scien..
 
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8

Deep learning ­– promises for 3D nuclear imaging: a guide f..:

Mougeot, Guillaume ; Dubos, Tristan ; Chausse, Frédéric...
info:eu-repo/semantics/altIdentifier/doi/10.1242/jcs.258986.  , 2022
Link: https://hal.science/hal-..
 
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9

NODeJ: an ImageJ plugin for 3D segmentation of nuclear obje..:

Dubos, Tristan ; Poulet, Axel ; Thomson, Geoffrey...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9169307/.  , 2022
Link: http://www.ncbi.nlm.nih...
 
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10

Deep learning: Promises for 3D nuclear imaging. A guide for..:

Mougeot, Guillaume ; Dubos, Tristan ; Chausse, Frédéric...
https://radar.brookes.ac.uk/radar/items/56f8fc4d-c11a-4723-9397-1d71d33c288a/1/.  , 2022
Link: https://radar.brookes.ac..
 
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11

NODeJ: an ImageJ plugin for 3D segmentation of nuclear obje..:

Dubos, Tristan ; Poulet, Axel ; Thomson, Geoffrey...
info:eu-repo/semantics/altIdentifier/doi/10.1186/s12859-022-04743-6.  , 2022
Link: https://inserm.hal.scien..
 
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12

NODeJ: an ImageJ plugin for 3D segmentation of nuclear obje..:

Dubos, Tristan ; Poulet, Axel ; Thomson, Geoffrey...
info:eu-repo/semantics/altIdentifier/doi/10.1186/s12859-022-04743-6.  , 2022
Link: https://inserm.hal.scien..
 
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13

Deep learning ­– promises for 3D nuclear imaging: a guide f..:

Mougeot, Guillaume ; Dubos, Tristan ; Chausse, Frédéric...
info:eu-repo/semantics/altIdentifier/doi/10.1242/jcs.258986.  , 2022
Link: https://hal.science/hal-..
 
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14

Optimization and automation of 3D bio-imaging tools to char..:

Dubos, Tristan
NNT: 2021UCFAC083.  , 2021
Link: https://theses.hal.scien..
 
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15

Optimisation et automatisation d'outils de bio-imagerie 3D ..:

Dubos, Tristan
http://www.theses.fr/2021UCFAC083/document.  , 2021
Link: http://www.theses.fr/202..
 
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