Nicolas Passat

发表

A note on 3-D simple points and simple-equivalence

Gilles Bertrand, Michel Couprie, Nicolas Passat, 2009, Inf. Process. Lett..

Component-Hypertrees for Image Segmentation

Nicolas Passat, Benoît Naegel, B. Naegel, 2011, ISMM.

Component-trees and multivalued images-Part I: Structural Properties

Nicolas Passat, Benoît Naegel, 2011 .

SegSRGAN: Super-resolution and segmentation using generative adversarial networks - Application to neonatal brain MRI

Nicolas Passat, Guillaume Dollé, Quentin Delannoy, 2020, Comput. Biol. Medicine.

Extraction of complex patterns from multiresolution remote sensing images: A hierarchical top-down methodology

Nicolas Passat, Pierre Gançarski, Camille Kurtz, 2012, Pattern Recognit..

Topology Preserving Warping of 3-D Binary Images According to Continuous One-to-One Mappings

Nicolas Passat, Sylvain Faisan, Vincent Noblet, 2011, IEEE Transactions on Image Processing.

Topological monsters in ℤ3: A non-exhaustive bestiary

Gilles Bertrand, Michel Couprie, Nicolas Passat, 2007, ISMM.

Data-Driven Cortex Segmentation in Reconstructed Fetal MRI by Using Structural Constraints

Colin Studholme, Nicolas Passat, Piotr A. Habas, 2011, CAIP.

Evaluation of cortical segmentation pipelines on clinical neonatal MRI data

Isabelle Bloch, Nicolas Passat, Sylvain Faisan, 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Watershed and multimodal data for brain vessel segmentation: Application to the superior sagittal sinus

Nicolas Passat, Jean-Paul Armspach, Christian Ronse, 2007, Image Vis. Comput..

Geometric Preservation of 2D Digital Objects Under Rigid Motions

Isabelle Debled-Rennesson, Nicolas Passat, Yukiko Kenmochi, 2018, Journal of Mathematical Imaging and Vision.

Gray-level hit-or-miss transform based region-growing for automatic segmentation of 3D coronary arteries

Nicolas Passat, Christian Ronse, Bessem Bouraoui, 2007, ISMM.

Convexity invariance of voxel objects under rigid motions

Isabelle Debled-Rennesson, Nicolas Passat, Yukiko Kenmochi, 2018, 2018 24th International Conference on Pattern Recognition (ICPR).

Connected Filtering Based on Multivalued Component-Trees

Nicolas Passat, Benoît Naegel, Camille Kurtz, 2014, IEEE Transactions on Image Processing.

Colour Image Filtering with Component-Graphs

Nicolas Passat, Benoît Naegel, B. Naegel, 2014, 2014 22nd International Conference on Pattern Recognition.

Magnetic resonance angiography: From anatomical knowledge modeling to vessel segmentation

Nicolas Passat, Jean-Paul Armspach, Christian Ronse, 2006, Medical Image Anal..

Hierarchies and shape-space for pet image segmentation

Hugues Talbot, Nicolas Passat, Laurent Najman, 2015, 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI).

Contribution à la segmentation des réseaux vasculaires cérébraux obtenus en IRM. Intégration de connaissance anatomique pour le guidage d'outils de morphologie mathématique. (Contribution to cerebral vascular network segmentation from MRI. Anatomical knowledge integration for guidance of mathematica

Nicolas Passat, 2005 .

Convexity-Preserving Rigid Motions of 2D Digital Objects

Isabelle Debled-Rennesson, Nicolas Passat, Yukiko Kenmochi, 2017, DGCI.

A non-local fuzzy segmentation method: Application to brain MRI

Colin Studholme, Nicolas Passat, Christian Heinrich, 2009, Pattern Recognit..

Interactive segmentation based on component-trees

Nicolas Passat, Benoît Naegel, François Rousseau, 2011, Pattern Recognit..

On 2-dimensional Simple Sets in n-dimensional Cubic Grids

Nicolas Passat, Loïc Mazo, 2010, Discret. Comput. Geom..

3D Angiographic Image Segmentation

Nicolas Passat, Benoît Naegel, Christian Ronse, 2013 .

Variational method combined with Frangi vesselness for tubular object segmentation

Hugues Talbot, Nicolas Passat, Stéphanie Salmon, 2015 .

Combinatorial Properties of 2D Discrete Rigid Transformations under Pixel-Invariance Constraints

Hugues Talbot, Nicolas Passat, Yukiko Kenmochi, 2012, IWCIA.

Thickness Estimation of Discrete Tree-Like Tubular Objects: Application to Vessel Quantification

Nicolas Passat, Marie-Andrée Jacob-Da Col, Joseph Baruthio, 2005, SCIA.

Ranking Orientation Responses of Path Operators: Motivations, Choices and Algorithmics

Hugues Talbot, Nicolas Passat, Laurent Najman, 2015, ISMM.

Topology-Preserving Conditions for 2D Digital Images Under Rigid Transformations

Hugues Talbot, Nicolas Passat, Yukiko Kenmochi, 2014, Journal of Mathematical Imaging and Vision.

2D Filtering of Curvilinear Structures by Ranking the Orientation Responses of Path Operators (RORPO)

Hugues Talbot, Nicolas Passat, Benoît Naegel, 2017, Image Process. Line.

Méthodes variationnelles pour la segmentation d'images médicales

Hugues Talbot, Nicolas Passat, Stéphanie Salmon, 2015 .

Topology-Preserving Thinning in 2-D Pseudomanifolds

Gilles Bertrand, Michel Couprie, Nicolas Passat, 2009, DGCI.

Automatic parameterization of grey-level hit-or-miss operators for brain vessel segmentation

Nicolas Passat, Jean-Paul Armspach, Christian Ronse, 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

$n$ D Variational Restoration of Curvilinear Structures With Prior-Based Directional Regularization

Hugues Talbot, Nicolas Passat, Odyssee Merveille, 2019, IEEE Transactions on Image Processing.

Hierarchical Segmentation of Multiresolution Remote Sensing Images

Nicolas Passat, Pierre Gançarski, Camille Kurtz, 2011, ISMM.

Domain adaptation for the extraction of complex urban patterns from multiresolution satellite images

Nicolas Passat, Pierre Gançarski, Camille Kurtz, 2012, 2012 IEEE International Geoscience and Remote Sensing Symposium.

A benchmark preview of liver vessel enhancement algorithms

Nicolas Passat, Antoine Vacavant, Bertrand Kerautret, 2020 .

Topology Preserving Warping of Binary Images: Application to Atlas-Based Skull Segmentation

Nicolas Passat, Sylvain Faisan, Vincent Noblet, 2008, MICCAI.

A non-local fuzzy segmentation method: Application to brain MRI

Colin Studholme, Nicolas Passat, Piotr A. Habas, 2011, Pattern Recognit..

Grey-level hit-or-miss transforms - part II: Application to angiographic image processing

Nicolas Passat, Benoît Naegel, Christian Ronse, 2007, Pattern Recognit..

Semi-connections and Hierarchies

Hugues Talbot, Nicolas Passat, Olena Tankyevych, 2013, ISMM.

Component-Graph Construction

Nicolas Passat, Benoît Naegel, Camille Kurtz, 2019, Journal of Mathematical Imaging and Vision.

Shape-Based Analysis on Component-Graphs for Multivalued Image Processing

Hugues Talbot, Nicolas Passat, Benoît Naegel, 2019 .

Evaluating the quality of binary partition trees based on uncertain semantic ground-truth for image segmentation

Nicolas Passat, Pierre Gançarski, Camille Kurtz, 2017, 2017 IEEE International Conference on Image Processing (ICIP).

Segmentation of Complex Images Based on Component-Trees: Methodological Tools

Nicolas Passat, Benoît Naegel, Benoît Caldairou, 2009, ISMM.

An iterative multi-atlas patch-based approach for cortex segmentation from neonatal MRI

Isabelle Bloch, Nicolas Passat, Sylvain Faisan, 2018, Comput. Medical Imaging Graph..

Atlas-based method for segmentation of cerebral vascular trees from phase-contrast magnetic resonance angiography

Nicolas Passat, Jean-Paul Armspach, Christian Ronse, 2004, SPIE Medical Imaging.

Component-Trees and Multivalued Images: Structural Properties

Nicolas Passat, Benoît Naegel, B. Naegel, 2013, Journal of Mathematical Imaging and Vision.

A variational model for thin structure segmentation based on a directional regularization

Hugues Talbot, Nicolas Passat, Stéphanie Salmon, 2016, 2016 IEEE International Conference on Image Processing (ICIP).

Angiographic Image Analysis

Hugues Talbot, Nicolas Passat, Olena Tankyevych, 2011 .

From 2D markers in MIP to 3D vessel segmentation: A fuzzy paradigm for connected filtering

Nicolas Passat, Benoît Naegel, Christian Ronse, 2013, 2013 IEEE 10th International Symposium on Biomedical Imaging.

Direction-adaptive grey-level morphology. application to 3D vascular brain imaging

Hugues Talbot, Nicolas Passat, Olena Tankyevych, 2009, 2009 16th IEEE International Conference on Image Processing (ICIP).

Grey-level hit-or-miss transforms - Part I: Unified theory

Nicolas Passat, Benoît Naegel, Christian Ronse, 2007, Pattern Recognit..

Combinatorial structure of rigid transformations in 2D digital images

Hugues Talbot, Nicolas Passat, Yukiko Kenmochi, 2013, Comput. Vis. Image Underst..

Binary Partition Tree construction from multiple features for image segmentation

Nicolas Passat, Camille Kurtz, Eric Desjardin, 2018, Pattern Recognit..

Multi-image Segmentation: A Collaborative Approach Based on Binary Partition Trees

Nicolas Passat, Camille Kurtz, Eric Desjardin, 2015, ISMM.

Approches discrètes pour l'analyse d'images

Nicolas Passat, 2011, Tech. Sci. Informatiques.

Bijective Digitized Rigid Motions on Subsets of the Plane

Nicolas Passat, Yukiko Kenmochi, Kacper Pluta, 2017, Journal of Mathematical Imaging and Vision.

Topology-preservation in 3-D image deformation and registration: Methodology and medical applications

Nicolas Passat, Sylvain Faisan, Vincent Noblet, 2008, CTIC 2008.

Efficient Neighbourhood Computing for Discrete Rigid Transformation Graph Search

Hugues Talbot, Nicolas Passat, Yukiko Kenmochi, 2014, DGCI.

Topological Properties of Thinning in 2-D Pseudomanifolds

Gilles Bertrand, Michel Couprie, Nicolas Passat, 2010, Journal of Mathematical Imaging and Vision.

Curvilinear Structure Analysis by Ranking the Orientation Responses of Path Operators

Nicolas Passat, Laurent Najman, Odyssée Merveille, 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Using Watershed and Multimodal Data for Vessel Segmentation: Application to the Superior Sagittal Sinus

Nicolas Passat, Jean-Paul Armspach, Christian Ronse, 2005, ISMM.

Well-composed images and rigid transformations

Hugues Talbot, Nicolas Passat, Yukiko Kenmochi, 2013, 2013 IEEE International Conference on Image Processing.

Selection of Relevant Nodes from Component-Trees in Linear Time

Nicolas Passat, Benoît Naegel, 2011, DGCI.

Multilabel, Multiscale Topological Transformation for Cerebral MRI Segmentation Post-processing

Isabelle Bloch, Nicolas Passat, Sylvain Faisan, 2019, ISMM.

Interactive Segmentation Based on Component-trees

Nicolas Passat, Benoît Naegel, B. Naegel, 2011, Image Process. Line.

Automatic anatomical segmentation of the liver by separation planes

Luc Soler, Nicolas Passat, Vincent Agnus, 2006, SPIE Medical Imaging.

Discrete rigid registration: A local graph-search approach

Hugues Talbot, Nicolas Passat, Yukiko Kenmochi, 2017, Discret. Appl. Math..

Spatio-temporal reasoning for the classification of satellite image time series

Nicolas Passat, Pierre Gançarski, François Petitjean, 2012, Pattern Recognit. Lett..

Honeycomb Geometry: Rigid Motions on the Hexagonal Grid

Nicolas Passat, Yukiko Kenmochi, Kacper Pluta, 2017, DGCI.

Unsupervised Quantification of Under- and Over-Segmentation for Object-Based Remote Sensing Image Analysis

Nicolas Passat, Pierre Gançarski, Laure Berti-Équille, 2015, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

A non-local chan-vese model for sparse, tubular object segmentation

Hugues Talbot, Nicolas Passat, Stéphanie Salmon, 2014, 2014 IEEE International Conference on Image Processing (ICIP).

Fully automatic 3D segmentation of coronary arteries based on mathematical morphology

Nicolas Passat, Christian Ronse, Joseph Baruthio, 2008, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Topology on Digital Label Images

Michel Couprie, Nicolas Passat, Loïc Mazo, 2012, Journal of Mathematical Imaging and Vision.

Geometric-preserving rigid motions of digital objects

Isabelle Debled-Rennesson, Nicolas Passat, Yukiko Kenmochi, 2018 .

Digital Imaging: A Unified Topological Framework

Michel Couprie, Nicolas Passat, Loïc Mazo, 2011, Journal of Mathematical Imaging and Vision.

Topologically-based segmentation of brain structures from T1 MRI

Nicolas Passat, Jean-Paul Armspach, Sanae Miri, 2007, ISMM.

Hierarchical Approach for Neonate Cerebellum Segmentation from MRI: An Experimental Study

Nicolas Passat, Laurent Lucas, Hélène Meunier, 2019, ISMM.

Bijective Rigid Motions of the 2D Cartesian Grid

Nicolas Passat, Yukiko Kenmochi, Kacper Pluta, 2016, DGCI.

3D segmentation of coronary arteries based on advanced mathematical morphology techniques

Nicolas Passat, Christian Ronse, Joseph Baruthio, 2010, Comput. Medical Imaging Graph..

Minimal simple sets: a new concept for topology-preserving transformations

Michel Couprie, Nicolas Passat, Loïc Mazo, 2008, CTIC 2008.

Construction d’arbres binaires de partitions multi-critères pour la segmentation d’images

Nicolas Passat, Eric Desjardin, Jimmy Francky Randrianasoa, 2016 .

Mathematical Morphology and Its Applications to Signal and Image Processing

Bernhard Burgeth, Nicolas Passat, Benjamin Perret, 2019, Lecture Notes in Computer Science.

Segmentation of the cortex in fetal MRI using a topological model

Colin Studholme, Nicolas Passat, Piotr A. Habas, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

A histogram semantic-based distance for multiresolution image classification

Nicolas Passat, Pierre Gançarski, Camille Kurtz, 2012, 2012 19th IEEE International Conference on Image Processing.

Hierarchical extraction of landslides from multiresolution remotely sensed optical images

André Stumpf, Nicolas Passat, Pierre Gançarski, 2014 .

Supervised quality evaluation of binary partition trees for object segmentation

Nicolas Passat, Pierre Gançarski, Nathalie Bednarek, 2021, Pattern Recognit..

Interactive 3D brain vessel segmentation from an example

Nicolas Passat, Benoît Naegel, Joseph Baruthio, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Minimal Simple Pairs in the 3-D Cubic Grid

Gilles Bertrand, Michel Couprie, Nicolas Passat, 2008, Journal of Mathematical Imaging and Vision.

Shape-Based Analysis on Component-Graphs for Multivalued Image Processing

Hugues Talbot, Nicolas Passat, Benoît Naegel, 2015, ISMM.

Multicriteria 3D PET image segmentation

Barbara Romaniuk, Hugues Talbot, Nicolas Passat, 2015, 2015 International Conference on Image Processing Theory, Tools and Applications (IPTA).

Multi-resolution region-based clustering for urban analysis

Nicolas Passat, Pierre Gançarski, Camille Kurtz, 2010 .

Directed Connected Operators: Asymmetric Hierarchies for Image Filtering and Segmentation

Hugues Talbot, Nicolas Passat, Benjamin Perret, 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Filtering and segmentation of 3D angiographic data: Advances based on mathematical morphology

Hugues Talbot, Nicolas Passat, Olena Tankyevych, 2013, Medical Image Anal..

Minimal Simple Pairs in the Cubic Grid

Gilles Bertrand, Michel Couprie, Nicolas Passat, 2008, DGCI.

Automated 3D lymphoma lesion segmentation from PET/CT characteristics

Hugues Talbot, Nicolas Passat, Laurent Najman, 2017, 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017).

Simultaneous Super-Resolution and Segmentation Using a Generative Adversarial Network: Application to Neonatal Brain MRI

Nicolas Passat, Chi-Hieu Pham, Carlos Tor-Díez, 2019, 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019).

Cerebral vascular atlas generation for anatomical knowledge modeling and segmentation purpose

Nicolas Passat, Jean-Paul Armspach, Christian Ronse, 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

Segmentation multi-images et multicritères par arbres de coupes

Barbara Romaniuk, Nicolas Passat, Benoît Naegel, 2017 .

3D CFD in Complex Vascular Systems: A Case Study

Hugues Talbot, Nicolas Passat, Stéphanie Salmon, 2014, ISBMS.

Structure and Concept of the Benchmark for Vesselness Filters with focus on Reproducibilty and Future Evaluations

Nicolas Passat, Bertrand Kerautret, Odyssée Merveille, 2021 .

Morphology-based cerebrovascular atlas

Hugues Talbot, Nicolas Passat, Olena Tankyevych, 2013, 2013 IEEE 10th International Symposium on Biomedical Imaging.

Sufficient Conditions for Topological Invariance of 2D Images under Rigid Transformations

Hugues Talbot, Nicolas Passat, Yukiko Kenmochi, 2013, DGCI.

Thin structure filtering framework with non-local means, Gaussian derivatives and spatially-variant mathematical morphology

Amir Nakib, Éric Petit, Hugues Talbot, 2013, 2013 IEEE International Conference on Image Processing.

Multivalued Component-Tree Filtering

Nicolas Passat, Benoît Naegel, Camille Kurtz, 2014, 2014 22nd International Conference on Pattern Recognition.

An introduction to simple sets

Nicolas Passat, Loïc Mazo, L. Mazo, 2009, Pattern Recognit. Lett..

Editorial - Virtual Special Issue: "Hierarchical Representations: New Results and Challenges for Image Analysis"

Nicolas Passat, Antoine Vacavant, Camille Kurtz, 2020, Pattern Recognit. Lett..

Blur grey-level hit-or-miss transform for fully automatic 3D segmentation of coronary arteries

Nicolas Passat, Christian Ronse, Bessem Bouraoui, 2009 .

Discrete Rigid Transformation Graph Search for 2D Image Registration

Hugues Talbot, Nicolas Passat, Yukiko Kenmochi, 2013, PSIVT Workshops.

Hierarchical forest attributes for multimodal tumor segmentation on FDG-PET/contrast-enhanced CT

Barbara Romaniuk, Nicolas Passat, Benoît Naegel, 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

Matching Filtering by Region-Based Attributes on Hierachical Structures for Image Co-Segmentation

Barbara Romaniuk, Nicolas Passat, Benoît Naegel, 2018, 2018 25th IEEE International Conference on Image Processing (ICIP).

An extension of component-trees to partial orders

Nicolas Passat, Benoît Naegel, 2009, 2009 16th IEEE International Conference on Image Processing (ICIP).

Tubular Structure Filtering by Ranking Orientation Responses of Path Operators

Hugues Talbot, Nicolas Passat, Laurent Najman, 2014, ECCV.

Intrinsic quality analysis of binary partition trees

Nicolas Passat, Pierre Gançarski, Camille Kurtz, 2018 .

An interactive approach for extraction of urban patterns from multisource images

Nicolas Passat, Pierre Gançarski, Camille Kurtz, 2011, 2011 Joint Urban Remote Sensing Event.

On 2D constrained discrete rigid transformations

Hugues Talbot, Nicolas Passat, Yukiko Kenmochi, 2015, Annals of Mathematics and Artificial Intelligence.

A Non-Local Fuzzy Segmentation Method: Application

Nicolas Passat, Colin Studholme, Piotr A. Habas, 2010 .

A Unified Topological Framework for Digital Imaging

Michel Couprie, Nicolas Passat, Loïc Mazo, 2011, DGCI.

A hierarchical semantic-based distance for nominal histogram comparison

Nicolas Passat, Pierre Gançarski, Camille Kurtz, 2013, Data Knowl. Eng..

Component-Trees and Multi-value Images: A Comparative Study

Nicolas Passat, Benoît Naegel, 2009, ISMM.

Rigid Motions in the Cubic Grid: A Discussion on Topological Issues

Nicolas Passat, Yukiko Kenmochi, Phuc Ngo, 2019, DGCI.

Segmentation using vector-attribute filters: methodology and application to dermatological imaging

Nicolas Passat, Benoît Naegel, Michel Kocher, 2007, ISMM.

Implicit Component-Graph: A Discussion

Nicolas Passat, Benoît Naegel, Camille Kurtz, 2017, ISMM.

Topology-Preserving Discrete Deformable Model: Application to Multi-segmentation of Brain MRI

Nicolas Passat, Jean-Paul Armspach, Sanae Miri, 2008, ICISP.

Spatially-Variant Morpho-Hessian Filter: Efficient Implementation and Application

Hugues Talbot, Nicolas Passat, Olena Tankyevych, 2009, ISMM.

Using Multimodal MR Data for Segmentation and Topology Recovery of the Cerebral Superficial Venous Tree

Nicolas Passat, Jean-Paul Armspach, Christian Ronse, 2005, ISVC.

Multiscale brain MRI super-resolution using deep 3D convolutional networks

Nicolas Passat, Chi-Hieu Pham, Carlos Tor-Díez, 2019, Comput. Medical Imaging Graph..

Discrete Regular Polygons for Digital Shape Rigid Motion via Polygonization

Isabelle Debled-Rennesson, Nicolas Passat, Yukiko Kenmochi, 2018, RRPR.

Towards Connected Filtering Based on Component-Graphs

Nicolas Passat, Benoît Naegel, 2013, ISMM.

Segmentation of head bones in 3-D CT images from an example

Nicolas Passat, Sylvain Faisan, Jean-Paul Armspach, 2008, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Topology-Preserving Rigid Transformation of 2D Digital Images

Hugues Talbot, Nicolas Passat, Yukiko Kenmochi, 2014, IEEE Transactions on Image Processing.

Attribute-Filtering and Knowledge Extraction for Vessel Segmentation

Nicolas Passat, Benoît Naegel, Benoît Caldairou, 2010, ISVC.

Watervoxels

Nicolas Passat, Etienne Decencière, Quentin Delannoy, 2019, Image Process. Line.

Bijectivity Certification of 3D Digitized Rotations

Nicolas Passat, Yukiko Kenmochi, Kacper Pluta, 2016, CTIC.

From Real MRA to Virtual MRA: Towards an Open-Source Framework

Hugues Talbot, Nicolas Passat, Jean-Paul Armspach, 2016, MICCAI.

Structure, Concept and Result Reproducibility of the Benchmark on Vesselness Filters

Nicolas Passat, Bertrand Kerautret, Odyssée Merveille, 2021, RRPR.

Analysis Of Lymph Node Tumor Features In Pet/Ct For Segmentation

Nicolas Passat, Éloïse Grossiord, Dimitri Papathanassiou, 2021, 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI).

Homotopic Digital Rigid Motion: An Optimization Approach on Cellular Complexes

Nicolas Passat, Yukiko Kenmochi, Phuc Ngo, 2021, DGMM.

Paths, Homotopy and Reduction in Digital Images

Michel Couprie, Nicolas Passat, Loïc Mazo, 2011 .

Topological alterations of 3D digital images under rigid transformations

Hugues Talbot, Nicolas Passat, Yukiko Kenmochi, 2014 .