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Velasco-Forero, Santiago
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1

Counting Melanocytes with Trainable h-Maxima and Connected ..:

, In: Lecture Notes in Computer Science; Discrete Geometry and Mathematical Morphology,
Liu, Xiaohu ; Blusseau, Samy ; Velasco-Forero, Santiago - p. 417-430 , 2024
Link: https://doi.org/10.1007/..
 
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2

Group Equivariant Networks Using Morphological Operators:

, In: Lecture Notes in Computer Science; Discrete Geometry and Mathematical Morphology,
Penaud--Polge, Valentin ; Velasco-Forero, Santiago ; Angulo-Lopez, Jesus - p. 165-177 , 2024
Link: https://doi.org/10.1007/..
 
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3

A Posteriori Deep Learning Segmentation Quality Estimation ..:

Martins da Cruz, Jose-Marcio ; Sangalli, Mateus ; Decencière Ferrandière, Etienne..
Image Analysis and Stereology.  43 (2024)  2 - p. 121-130 , 2024
Link: https://doi.org/10.5566/..
 
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4

GenHarris-ResNet: A Rotation Invariant Neural Network Based..:

, In: Lecture Notes in Computer Science; Scale Space and Variational Methods in Computer Vision,
Penaud--Polge, Valentin ; Velasco-Forero, Santiago ; Angulo, Jesus - p. 149-161 , 2023
Link: https://doi.org/10.1007/..
 
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5

Can Generalised Divergences Help for Invariant Neural Netwo..:

, In: Lecture Notes in Computer Science; Geometric Science of Information,
Velasco-Forero, Santiago - p. 82-90 , 2023
Link: https://doi.org/10.1007/..
 
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6

Rotation-invariant Hierarchical Segmentation on Poincaré Ba..:

, In: 2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW),
Onghena, Pierre ; Gigli, Leonardo ; Velasco-Forero, Santiago - p. 1757-1766 , 2023
Link: https://doi.org/10.1109/..
 
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7

Near Out-of-Distribution Detection for Low-Resolution Radar..:

, In: Machine Learning and Knowledge Discovery in Databases; Lecture Notes in Computer Science,
Bauw, Martin ; Velasco-Forero, Santiago ; Angulo, Jesus.. - p. 384-399 , 2023
Link: https://doi.org/10.1007/..
 
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8

MorphoActivation: Generalizing ReLU Activation Function by ..:

, In: Lecture Notes in Computer Science; Discrete Geometry and Mathematical Morphology,
Velasco-Forero, Santiago ; Angulo, Jesús - p. 449-461 , 2022
Link: https://doi.org/10.1007/..
 
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9

Fully Trainable Gaussian Derivative Convolutional Layer:

, In: 2022 IEEE International Conference on Image Processing (ICIP),
Penaud--Polge, Valentin ; Velasco-Forero, Santiago ; Angulo, Jesus - p. 2421-2425 , 2022
Link: https://doi.org/10.1109/..
 
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10

Morphological Adjunctions Represented by Matrices in Max-Pl..:

, In: Lecture Notes in Computer Science; Discrete Geometry and Mathematical Morphology,
Blusseau, Samy ; Velasco-Forero, Santiago ; Angulo, Jesús. - p. 206-218 , 2022
Link: https://doi.org/10.1007/..
 
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11

Learnable Empirical Mode Decomposition based on Mathematica..:

Velasco-Forero, Santiago ; Pagès, R. ; Angulo, Jesus
SIAM Journal on Imaging Sciences.  15 (2022)  1 - p. 23-44 , 2022
Link: https://doi.org/10.1137/..
 
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12

Irregularity Index for Vector-Valued Morphological Operator:

Valle, Marcos Eduardo ; Francisco, Samuel ; Granero, Marco Aurélio.
Journal of Mathematical Imaging and Vision.  64 (2022)  7 - p. 754-770 , 2022
Link: https://doi.org/10.1007/..
 
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13

Differential Invariants for SE(2)-Equivariant Networks:

, In: 2022 IEEE International Conference on Image Processing (ICIP),
Sangalli, Mateus ; Blusseau, Samy ; Velasco-Forero, Santiago. - p. 2216-2220 , 2022
Link: https://doi.org/10.1109/..
 
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14

Applying deep learning to melanocyte counting on fluorescen..:

Lazard, Tristan ; Blusseau, Samy ; Velasco-Forero, Santiago...
Image Analysis & Stereology.  , 2022
Link: https://doi.org/10.5566/..
 
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15

Instance segmentation of 3D woven fabric from tomography im..:

Blusseau, Samy ; Wielhorski, Yanneck ; Haddad, Zyad.
Composites Part B: Engineering.  247 (2022)  - p. 110333 , 2022
Link: https://doi.org/10.1016/..
 
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