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Newsletter - 2022 Winter Edition January 2023

HealthTech's second information newsletter is out! Find below all the recent news of the Institute, from research to training, calendar, main events, call for proposals and many more.

Edito
Happy new year 2023!

The HealthTech coordination team wishes you a lot of success in the upcoming year. May this year be full of great accomplishments, scientific grants, wonderful students and published articles. Best wishes for 2023!


In order to provide you with the most up-to-date information possible, please send us all your news on a regular basis, it will be our pleasure to share them:

  • new scientific publications
  • involvement in outreach events, summer schools & other events
  • new incoming members
  • recent PhD and HDR defenses
  • fundings & well-deserved awards, etc.

 

Conference
HealthTech Day 2022

The second annual "HealthTech Day" took place on Monday, December 12th, 2022.

The event was a great opportunity for HealthTech members to meet and initiate close collaborations between teams working in different fields, therefore launching novel interactions to prepare for HealthTech's next call for interdisciplinary research proposals. We had a wonderful time listening to conferences by HealthTech scientists and lectures from our two keynote speakers:

  • Prof. Ferdinando Rodriguez y Baena, Imperial College London
  • Prof. Sylvain Gioux, Intuitive Surgical
     

Finally, one of the PhD students funded by HealthTech, Valentina Scarponi (Inria MIMESIS & ICube MLMS), was awarded the "best presentation award" during the session for young researchers. Congratulations!
 

Download the program below:

Research
7 new joint projects cofunded by IHU Strasbourg and HealthTech

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

Research
Calls for proposals

Two funding opportunities are currently open at HealthTech:

  • Functioning support for research projects in terms of platform service
    On a rolling basis, next evaluation in Spring 2023
  • Opportunities for interdisciplinary seed projects funding
    On a rolling basis, next evaluation in Spring 2023

Don't miss out!

 

The call for PhD projects is now closed, with 13  applications that will be peer-reviewed by HealthTech’s executive committee and external experts. More information on the selection process will  be provided to eligible projects.

 

Check out previously selected projects

 

Research
Call for presentations

The next Data Science and AI workshop will take place on April 12th, 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
     

If you are interested in presenting during one of these sessions, please register on this form
 deadline: February 15th


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

 

 

Focus on
Scientific publication

Applied Physics Letters cover - Sept. 12th 2022

We are very glad to announce that our first scientific publication by one of the PhD students funded by HealthTech (2021-2024) made the cover of Applied Physics Letters! Congratulations to Emmanuel Martins Seromenho!

Ongoing PhD project (2021-2024): in vivo optical and elastic micro-tomography

Objective: develop a new approach to high-resolution quantitative elastography

Article title: "Single-shot off-axis full-field optical coherence tomography"

Article abstract: full field optical coherence tomography (FF-OCT) enables high-resolution in-depth imaging within turbid media. In this work, we present a simple approach which combines FF-OCT with off-axis interferometry for reconstruction of en-face images. With low spatial and temporal coherence illumination, this method is able to extract an FF-OCT image from only one interference acquisition. This method is described, and the proof-of-concept is demonstrated through the observation of scattering samples such as organic and ex vivo biomedical samples.
 

Read the article online
 

PhD program
Recent PhD defenses

VASILJEVIĆ Jelica

  • ICube laboratory, team SDC
  • PhD supervisors: Prof. Cédric Wemmert & Prof. Srdjan Stanković
  •  PhD defense: September 22nd, 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 29th, 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.