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Decencière, E.
31  Ergebnisse:
Personensuche X
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1

Automated analysis of platelet microstructures using a feat..:

Campbell, A. ; Murray, P. ; Yakushina, E....
Journal of Materials Science.  57 (2022)  2 - p. 1448-1461 , 2022
Link: https://doi.org/10.1007/..
 
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2

Deep learning for galaxy surface brightness profile fitting:

Tuccillo, D ; Huertas-Company, M ; Decencière, E...
Monthly Notices of the Royal Astronomical Society.  475 (2017)  1 - p. 894-909 , 2017
Link: https://doi.org/10.1093/..
 
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3

Deep learning for studies of galaxy morphology:

Tuccillo, D. ; Huertas-Company, M. ; Decencière, E..
Proceedings of the International Astronomical Union.  12 (2016)  S325 - p. 191-196 , 2016
Link: https://doi.org/10.1017/..
 
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4

Non‐invasive short‐term assessment of retinoids effects on ..:

Tancrède‐Bohin, E. ; Baldeweck, T. ; Decencière, E....
Journal of the European Academy of Dermatology and Venereology.  29 (2014)  4 - p. 673-681 , 2014
Link: https://doi.org/10.1111/..
 
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5

TeleOphta: Machine learning and image processing methods fo..:

Decencière, E. ; Cazuguel, G. ; Zhang, X....
IRBM.  34 (2013)  2 - p. 196-203 , 2013
Link: https://doi.org/10.1016/..
 
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6

Objectivation des modifications cutanées liées au vieilliss..:

Baldeweck, T. ; Pena, A.-M. ; Decencière, E..
Annales de Dermatologie et de Vénéréologie.  139 (2012)  12 - p. B75 , 2012
Link: https://doi.org/10.1016/..
 
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7

Objectivation des modifications cutanées cortico-induites e..:

Pena, A.-M. ; Baldeweck, T. ; Parent, N....
Annales de Dermatologie et de Vénéréologie.  139 (2012)  12 - p. B74-B75 , 2012
Link: https://doi.org/10.1016/..
 
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8

Imaging and 3D morphological analysis of collagen fibrils:

ALTENDORF, H. ; DECENCIÈRE, E. ; JEULIN, D....
Journal of Microscopy.  247 (2012)  2 - p. 161-175 , 2012
Link: https://doi.org/10.1111/..
 
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9

Automated analysis of platelet microstructures using a feat..:

Campbell, A ; Murray, P ; Yakushina, E...
info:eu-repo/semantics/altIdentifier/doi/10.1007/s10853-021-06630-6.  , 2022
Link: https://hal-mines-parist..
 
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10

Automated analysis of platelet microstructures using a feat..:

Campbell, A ; Murray, P ; Yakushina, E...
info:eu-repo/semantics/altIdentifier/doi/10.1007/s10853-021-06630-6.  , 2022
Link: https://hal-mines-parist..
 
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11

The strong gravitational lens finding challenge:

Metcalf, R. B ; MENEGHETTI, MASSIMO ; Avestruz, C...
ASTRONOMY & ASTROPHYSICS.  , 2019
Link: https://hdl.handle.net/2..
 
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12

The strong gravitational lens finding challenge:

Metcalf, R. B ; Meneghetti, M ; Avestruz, C...
https://research.rug.nl/en/publications/6afecfe2-487b-46ff-a484-ddb4a5e0f28b.  , 2019
Link: https://hdl.handle.net/1..
 
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13

Deep learning for galaxy surface brightness profile fitting:

Tuccillo, D ; Huertas-Company, M ; Decencière, E...
info:eu-repo/semantics/altIdentifier/arxiv/1711.03108.  , 2018
Link: https://hal-insu.archive..
 
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14

Deep learning for galaxy surface brightness profile fitting:

Tuccillo, D ; Huertas-Company, M ; Decencière, E...
info:eu-repo/semantics/altIdentifier/arxiv/1711.03108.  , 2018
Link: https://insu.hal.science..
 
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15

Deep learning for galaxy surface brightness profile fitting:

Tuccillo, D ; Huertas-Company, M ; Decencière, E...
info:eu-repo/semantics/altIdentifier/arxiv/1711.03108.  , 2018
Link: https://insu.hal.science..
 
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