Research

My research aims at understanding the world through the capture and analysis of heterogeneous data (MRI, CT, Point clouds, images, ...) in order to create applied digital instruments, that allow, for example, to generate novel views from a scene, to infer the human shape from a clothed scan, or to predict the amount of adipose tissue of a person from surface observations. To address this challenge, I adopt the approaches of Computer Vision, Signal Processing, Computer Graphics and Statistical Models. My research is often multi-disciplinary, as I need to combine knowledge from these different domains.

Ph.D. students

Current Ph.D. students:

• Marilyn Keller (Ph.D. student at Tübingen University since Sep. 2019)
  Topic: Statistical modeling of the 3D motion of the thoracic cage.
  Co-supervised with Michael Black
  Funding project: CAMed
   
• Vicente Estopier-Castillo (Ph.D. student at Université Grenoble Alpes since Oct 2023)
  Topic: Motion Ventilation Patterns for patients with Acute Respiratory Distress Syndrome (ARDS)
  Co-supervised with Jean-Sébastien Franco and Sam Bayat.
  Funding project: INSERM - INRIA grant
   

Former Ph.D. students:

• Nicolas Comte (Ph.D. student at Université Grenoble Alpes April 2020 - Dec 2023)
  Topic: Multi-modality scoliosis assessment
  Co-supervised with Edmond Boyer, François Faure and Aurélien Courvoisier.
  Funding project: CIFRE funding with Anatoscope
   
• Di Meng (Ph.D. student at Université Grenoble Alpes Oct. 2018 - Nov 2022)
  Topic: Vertebra segmentation and identification
  Co-supervised with Edmond Boyer
  Funding project: Spine PDCA
  Defended: 15 Nov 2022