CV

Education

• Ph.D in Informatic, Clermont-Auvergne University, 2024
• M.S. in Medical Imaging Signal and System, Lyon 1 University, 2020
• B.S and M.S. in Electronics and Digital Science,Graduate School of Chemistry and Digital Science Lyon (CPE Lyon), 2020

Work experience

• 2025 - now: Posdoctoral researcher
  • Institut Fresnel, Marseille
  • Research topic: unsupervised fine-tuning models for cell’s segmentation using baysian statistics
  • Supervisor: Philippe Roudot
• 2023 - 2024: Graduate assistant (ATER)
  • INSA Lyon
  • Duties includes: Lectures, tutorials and Evaluation correction
• 2020 - 2024: Ph.D student
  • CREATIS, INSA Lyon, CNRS, Lyon 1, INSERM
  • Institut Pascal, Université Clermont Auvergne, CNRS, SIGMA Clermont
  • Thesis: Vascular Segmentation: Exploring Variational and Deep Learning Strategies
  • Supervisors: Odyssée Merveille and Antoine Vacavant
• Spring 2020: Research intern
  • CREATIS, INSA Lyon, CNRS, Lyon 1, INSERM
  • Research topic: Segmentation and denoising of blood vessels with variational approach and deep learning
  • Supervisors: Odyssée Merveille and Antoine Vacavant
• 2018-2019: Research intern
  • GRAMS, Sherbrooke University
  • Research topic: Treatement of Compton diffusion applied to Positron emission tomography (PET) scanner
  • Supervisors: Jean-Baptiste Michaud

Skills

• Knowledge
  • Deep learning
  • Variational approach
  • Segmentation
  • Curvilinear structures
• Programming
  • Python ( Torch, Tensorflow )
  • Matlab
• Informatics tools
  • Latex
  • Inkscape

Service

• September 2024: Student volunteer for the organization of the conference EUSIPCO
• July 2024: Member of the organisation team of the (Doctoral Symbosium) at MIDL 2024 and student volunteer for the organization of the conference
• April 2024: Scientific outreach workshop for primary school students on sound waves (Atelier “Trace ton son”)
• Spring 2022: Co-supervisor of Chloé Martin master’s internship focused on developing 3D generic vascular segmentation network
• Spring 2021: Organizer of the doctoral day for 1st year Ph.D. students

Publications

Restoring Connectivity in Vascular Segmentations using a Learned Post-Processing Model

Sophie Carneiro-Esteves, Antoine Vacavant and Odyssée Merveille. "Restoring Connectivity in Vascular Segmentations using a Learned Post-Processing Model" TGI3, MICCAI 2024 Workshop .

A plug-and-play framework for curvilinear structure segmentation based on a learned reconnecting regularization

Sophie Carneiro-Esteves, Antoine Vacavant and Odyssée Merveille. "A plug-and-play framework for curvilinear structure segmentation based on a learned reconnecting regularization" Neurocomputing 2024 .

Segmentation des vaisseaux sanguins par approche variationnelle et apprentissage profond

Apprentissage d’un terme de régularisation reconnecteur pour la segmentation variationnelle des vaisseaux sanguins en 3D

Sophie Carneiro-Esteves, Antoine Vacavant and Odyssée Merveille. "Apprentissage d un terme de régularisation reconnecteur pour la segmentation variationnelle des vaisseaux sanguins en 3D " XXIIIme Colloque Francophone de Traitement du Signal et des Images.

Learning a reconnecting regularization term for blood vessel variational segmentation

Sophie Carneiro-Esteves, Antoine Vacavant and Odyssée Merveille. "Learning a reconnecting regularization term for blood vessel variational segmentation" IEEE-EMBS BHI 2021 .

Teaching

Informatics and Numeric Society
[182h] Tutorials and Lectures, Undergraduate Level (L1 - L2), INSA Lyon FIMI, 2023-2024

Signals and Linear Systems
[40 h] Tutorials, Undergraduate Level (L3), CPE Lyon, 2020-2022

Informatics and Numeric Society
[152 h] Tutorials, Undergraduate Level (L1), INSA Lyon FIMI, 2020-2023