STAGE - Ingénieur.e Recherche - Modélisation 3D paramétrique et représentation des arborescences coronaires (F/H)

Dassault Systèmes has the strategic ambition to revolutionize life sciences with the development of the virtual twin, and consequently to transform medical practice. Within the Corporate Strategy & Research department, you will join the Healthcare Immersive Experiences team, specialized in computer vision, 3D modeling, artificial intelligence, augmented reality, and virtual reality. Its mission is to invent tomorrow's immersive techniques and content, through innovative experiences based on the human virtual twin, with the aim of improving patients' lives and doctors' work.

Conventional clinical medicine relies on highly specialized expertise in executing complex procedures and interpreting dense anatomical structures. The emergence of immersive technologies and generative artificial intelligence models offers a major opportunity to transform clinical practice, particularly by accelerating surgical planning and optimizing the decision-making process.

In the context of coronary pathologies, 3D morphological geometry modeling and manipulation are critical for diagnosis and interventional planning. However, the development of applied AI solutions is strongly limited by the scarcity and heterogeneity of medical data. Due to regulatory constraints, the high cost of expert annotation, and inter-patient variability, the acquisition of annotated volumetric databases remains prohibitive. To overcome this methodological barrier, parametric modeling and manifold learning make it possible to capture the underlying geometric variance of coronary trees within a low-dimensional latent space (via PCA or autoencoders), thus constituting a particularly discriminant geometric and topological a priori.

Vos missions

During this internship, you will develop a parametric and regular 3D model of coronary arteries. The objective is to formalize the complex geometry of vascular arborizations by means of continuous parametrization (e.g., B-splines, NURBS, or implicit distance fields). Far from substituting real data, this framework acts as a standardized statistical shape model. It constitutes a central methodological basis for addressing several key tasks in 3D geometry and computer vision, including the generation of synthetic anatomical data, shape reconstruction, and the registration of patient-specific structures.

You will begin with an in-depth literature review on geometric modeling approaches (statistical shape analysis, implicit or explicit representations) and structured deep learning. Based on this, you will design, implement, and evaluate the most suitable architecture to meet the identified algorithmic and clinical constraints.

Vos qualifications

Currently pursuing a Master 2 / Bac+5 in Engineering School or University, specializing in Applied Mathematics, Computer Science, or Artificial Intelligence, you are looking for an internship between 5 and 6 months.

Compétences techniques souhaitées:

• You have a solid foundation in mathematical modeling (linear algebra, statistics, dimensionality reduction) and master methods such as PCA (Principal Component Analysis).

• You have knowledge of image processing, 3D geometric representations (parametric modeling, splines), and machine/deep learning.

• You are proficient in Python and its scientific computing/data analysis libraries (Numpy, etc.); knowledge of Pytorch is a plus.

Compétences professionnelles souhaitées:

• Creative and curious by nature, you have good analytical and synthesis skills and enjoy taking initiative.

• You have good interpersonal skills, allowing you to interact effectively to carry out your mission.

• You have a good level of technical English, especially for reading and writing scientific documents.

• You have a strong interest in the medical field.

Nous rejoindre c'est aussi

Integrate a scientific company at the heart of technological innovation, driven by strong growth for over 40 years.

Principaux avantages et bénéfices:

• Collaborative and innovative environment

• International collaboration

• Diversity of technologies, products, and solutions

• Commitment to diversity and inclusion