Newsletter - 2022 Winter Edition January 2023

Following the call for proposals jointly organized by IHU Strasbourg, ICube and ITI HealthTech, 7 new projects have been awarded. The grants include funding for the research activities and material expenses, together with free access to the outstanding facilities of IHU Strasbourg. This call specially supports starting projects by young researchers of HealthTech.  Congratulations to them: 

• Dr H. Cebula and Dr C. Giraudeau, for  CryoBar on the Impact  cryotherapy on the BBB integrity
• Dr J. Vappou and Dr C. Giraudeau, for the InTEL project:  MRI monitoring of cavitation for increased therapeutic efficiency in localized drug delivery
• Dr A. Nahas with Dr. A. Venkatasamy, for the LiveMargin project,  about In vivo multimodal SO-FF-OCT imaging for in-real-time tumor margin analysis
• Dr V. Maioli and Dr. A. Venkatasamy, for the HT-OPM-PDO project: High-throughput oblique microscopy for patient-derived tissue imaging
• Dr L. Rubbert and Dr JP Mazellier for the ARC-IHU project: Steering needle through controlled flexibility for enhanced image-guided insertion
• Dr T. Lampert and Prof. N. Padoy, for AlonHandSurgery about Hand Fracture Surgical Video Analysis for AI-Based Training and Surgical Safety
• Prof C. Wemmert and Prof P. Liverneaux, for miForger, about Fake medical images for carpal dislocation diagnosis

The next Data Science and AI workshop will take place on April 12^th, 2023 in the Amphitheater A207 of Télécom Physique Strasbourg.

The objective of this workshop is to create a scientific forum for researchers interested in Data Science, Machine Learning, Artificial Intelligence and their fields of applications to exchange and get a better overview of the work of their colleagues.

A call is currently open for 2 types of presentations:

• Short scientific presentations (spotlights): 5 min presentation + 2 min questions to introduce a topic you are working on, and/or to look for a collaborator
• Long scientific presentations: 15 min presentation + 5 min questions to present recent research results
   

The organization committee
Nicolas, Cédric and Vincent (ICube & HealthTech members)

VASILJEVIĆ Jelica

• ICube laboratory, team SDC
• PhD supervisors: Prof. Cédric Wemmert & Prof. Srdjan Stanković
•  PhD defense: September 22^nd, 2022
   

"Generative Adversarial Networks in Digital Histopathology: Stain Transfer and Deep Learning Model Invariance to Stain Variation"

Current state-of-the-art deep learning methods are data-hungry approaches which require huge annotated data collections to perform well. Nevertheless, digital histopathology, like the other fields of the medical domain, is known for its scarcity of data. Moreover, considering the variations that can occur due to the staining process and staining protocols, already collected and annotated datasets can only be reused with limited success. Such stain variation represents a source of domain shift and significantly affects deep learning-based solutions in practice.  This thesis investigates the potential of Generative Adversarial Networks (GANs) in two directions for addressing these problems --- stain transfer to enable reusing already available data collections; and developing stain invariant solutions which would alleviate the need for additional data acquisition or annotations.

MARMIN Agathe

• ICube laboratory, team IPP
• PhD supervisors: Prof. Sybille Facca, Dr Manuel Flury & Dr Amir Nahas
•  PhD defense: November 29^th, 2022
   

"Real-time quantitative elastography based on digital holography"

This PhD thesis consists in the development of a full-field quantitative elastography system for biological tissue imaging. A digital holography-based set-up was designed to access full-field phase images at each camera frame. Using this imaging system, two main approaches were used to generate stiffness images: transient elastography and noise-correlation elastography. These approaches were first tested on finite difference simulation images. Experimental images are presented on polymer samples with controlled optical and mechanical properties as well as on biological tissues.