• Introduction - F. Heitz et E. Laroche
•  On ne traite pas l'anormal comme le pathologique" : IRM fonctionnelle du cerveau normal, toujours aussi Incompréhensible, mais pas Imprédictible - J. Foucher
• CAMMA: 10 ans de science des données chirurgicales - N. Padoy
• 10 années de recherche en thérapies ultrasonores : du concept à l'étude clinique - P. Cabras
• Study of tumor metabolism in gliomas using functional imaging and HRMAS NMR spectroscopy: three different points of view! - M. Piotto (Bruker) et C. Bund
• Apport de la biomécanique pour une meilleure conservation et réparation des tissus dentaires - N. Kharouf et H. Jmal
• Cadre de traitement pour la détection performante des naissances prématurées à l'aide de la colposcopie polarimétrique de Mueller - J. Rehbinder et J. Zallat
• Toucher avec les yeux : de l’holographie numérique à l’OCT plein champ - A. Nahas
• Simulation numérique en temps-réel : de la formation des médecins à l’assistance peropératoire - S. Cotin
• Remerciements et invitation au cocktail

The registration link can be found in the all-ICube email sent out by Anne-Sophie Goudot. For more information, feel free to contact us before April 4th.

Cette conférence ouverte à tous se déroulera le Lundi 22 Janvier 2024 de 17h00 à 19h00 au sein de l'amphithéâtre du Collège Doctorale Européen (CDE) (46 Boulevard de la Victoire 67000 Strasbourg). Elle sera suivie d'un moment convivial autour d'un pot.

In order to anticipate the number of meals needed for the lunch buffet, please register here prior to November 15th. 

We look forward to seeing you there!

Le séminaire sera en français. 

This event will be held in French. 

As the leading European partnering event, MedFIT provides the ideal environment to help industry players to source early-stage assets, to facilitate the emergence of collaborative projects between big players, public research institutions, start-ups and SMEs, to increase licensing opportunities, to obtain funding and to facilitate market access.

https://www.medfit-event.com/

Abstract: RF pulses play a key role in MRI. They have to be selective, robust to B0 and B1 field inhomogeneities while being compliant with regulations on Specific Absorption Rates. Optimal Control is a powerful tool allowing for the integration of these constraints to numerically find the best solutions. The presentation will introduce optimal control for the generation of RF pulses for the aforementioned applications while also presenting recent applications such as contrast optimization and magnetic resonance elastography (MRE).

Biography: After studying physics, Kevin TSE VE KOON defended his thesis in non-linear physics in 2007 at the University of Burgundy. He discovered the biomedical world during a post-doctorate on cardiovascular modeling at the LTSI in Rennes, before joining the CREATIS laboratory and Lyon 1 University as a Senior Lecturer in 2010. Since then, his research has focused on MRI methodology development, with an emphasis on magnetic resonance elastography. He has also been in charge of the CREATIS laboratory's PILoT multimodal imaging platform since 2022.

University of Strasbourg students (undergraduate, graduate, doctoral) may register free of charge for the associated workshops and conferences. Meals are not included.

Please be aware that the language of this conference is French. 

It will be in conjunction with the Computer-Assisted Radiology and Surgery (CARS). IPCAI is endorsed by the International Society of Computer-aided Surgery (ISCAS) and the Medical Image Computing and Computer Assisted Interventions (MICCAI) Society. IPCAI will be a hybrid event with on-site and remote attendance, and we encourage on-site attendance whenever possible.
 

Conference information

IPCAI is one of the most important venues for disseminating innovative research in computer-assisted surgery and minimally invasive interventions. Now in its 14^th year, IPCAI is an interdisciplinary conference that attracts clinicians, engineers and computer science researchers from various backgrounds, including machine learning, data science, robotics, computer vision, medical imaging and sensing technologies. IPCAI fosters connections and showcases high quality research in a unique and focused two-day event. The conference is formatted specifically to actively engage the attendees.

Regular paper submissions

We call for high quality, original and unpublished paper submissions that describe innovative methodologies, clinical applications or clinical validations of computer-assisted intervention (CAI) systems. The submission should fall within the broad areas of interest of CAI covering the following:

• Surgical data science
• Machine learning for CAI and surgical robotics
• Interventional imaging and image fusion
• Tracking and navigation
• Augmented Reality, Virtual Reality and Mixed Reality for CAI
• Intraoperative visualization, user interfaces and human-computer interaction
• Surgical workflow, activity and skill analysis
• Intervention planning and simulation
• Systems and software
• Surgical and interventional robotics
• Evaluation and validation

All regular paper submissions should be formatted in the Springer Lecture Notes in Computer Science (LCNS) style with a maximum of 12 pages (approximately 5000 words) including the abstract, tables, references, and figure captions. The abstract should be in a structured format (Purpose, Methods, Results and Conclusion) and should not exceed 250 words.

Authors of regular papers should register an ‘intention to submit’ using Microsoft’s Conference Management Toolkit (CMT) with a paper title and abstract. Submissions are reviewed in a single-blind process. Accepted papers will be transferred to the International Journal of Computer Assisted Radiology and Surgery (IJCARS) for further revisions and publication as full paper in the IJCARS IPCAI Special Issue or (if required) in a regular journal issue.

 Intention to submit deadline (for regular papers): 28 Oct. 2022

 Submission deadline (for regular papers): 4 Nov. 2022

Long abstract submissions

Long abstract submissions are intended to showcase novel ideas, software platforms, or recent breakthroughs in a shorter format compared to regular papers, with limited or preliminary experimental validation. Long abstract submissions should fall within the same areas of interest of CAI as regular papers. Submissions are reviewed in a single-blind process and should be formatted in the LNCS style, up to 4 pages (1500 words).

 Submission deadline (for long abstracts): 13 Jan. 2023

Committee

• Program Chairs: Toby Collins, Qi Dou, Mathias Unberath
• General Chairs: Nicolas Padoy, Tim Salcudean, Raphael Sznitman
• Steering Committee: Purang Abolmaesumi, Kevin Cleary, Gabor Fichtinger, Makoto Hashizume, David Hawkes, Pierre Jannin, Leo Joskowicz, Ron Kikinis, Heinz Lemke, Lena Maier-Hein, Kensaku Mori, Parvin Mousavi, Nassir Navab, Terry Peters, Ichiro Sakuma, Stefanie Speidel, Danail Stoyanov, Russell Taylor

Further information on the IPCAI 2023 website

Please note that the conference will be held in French.

This study seeks to draw connections between the grant proposal peer-review and the gender representation in research consortia. We examined the implementation of a multi- disciplinary, pan-European funding scheme— EUROpean COllaborative RESearch Scheme (2003–2015)—and the reviewers’ materials that this generated. EUROCORES promoted investigator-driven, multinational collaborative research in multiple scientific areas and brought together 9158 Principal Investigators (PI) who teamed up in 1347 international consortia that were sequentially evaluated by 467 expert panel members and 1862 external reviewers. We found systematically unfavourable evaluations for consortia with a higher proportion of female PIs. This gender effect was evident in the evaluation outcomes of both panel members and reviewers: applications from consortia with a higher share of female scientists were less successful in panel selection and received lower scores from external reviewers. Interestingly, we found a systematic discrepancy between the evaluative language of written review reports and the scores assigned by reviewers that works against consortia with a higher share of female participants. Reviewers did not perceive female scientists as being less competent in their comments, but they were negatively sensitive to a high female ratio within a consortium when scoring the proposed research project.

There will be a zoom transmission:

Topic: seminaire Llerena
Time: May 23, 2023 10:30 AM Paris

Join Zoom Meeting
https://cnrs.zoom.us/j/96816026319?pwd=Z3lEQmF2RXgrN29pcFRCSDFXc0hXQT09

Meeting ID: 968 1602 6319
Passcode: 7E1kjg

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

The organization committee is made of:

• Olivier Colliot - CNRS, Paris
• Florence Forbes - Inria, Grenoble
• Laure Fournier - Université Paris Cité, Paris
• Benjamin Lemasson - GIN, Grenoble
• Marco Lorenzi - Inria, Sophia Antipolis
• Ellen Van Obberghen-Schilling - Inserm, iBV, Nice
• Thomas Walter - MINES ParisTech-Institut Curie, Paris

Learn more on the IABM website

• Julien PENIN (Garant) - Professor, Université de Strasbourg, Scientific Guarantor
• Alessandra COLOMBELLI - Professor, Politecnico di Torino – Italy
• Claude DIEBOLT - Directeur de Recherche, CNRS, Université de Strasbourg – France
• Aldo GEUNA - Professor, University of Torino – Italy
• Reinhilde VEUGELERS - Professor, KU Leuven – Belgium

The Laser Tag is planned at 6:00 pm on January 21^st!

Register here (compulsory)

 Deadline: December 26^th

— practical details:

>> 2 laser game sessions are planned, with a 15-min break in between to refuel

>> Neoquests, 13 parc du Luetzelfeld, route de Lingolsheim, 67118 Geispolsheim (accessible by tram / bus)

Contact us to join the board of students!

Join us and seize this opportunity to meet other HealthTech members 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.
 

The scientific program includes conferences by HealthTech scientists, a session for young researchers, as well as lectures from our two keynote speakers:

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

Download the full program here:

Abstract

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.

Jury members

• Dr Jean-Luc GENNISSON, BioMaps Laboratory - Reviewer
• Dr Kate GRIEVE, Vision Institute, Paris - Reviewer
• Prof. Olivier HAERBERLE, Haute-Alsace University - Invited member
• Dr Stefan CATHELINE, LabTAU - Invited member
• Dr Manuel FLURY, University of Strasbourg - PhD co-supervisor
• Prof. Sybille FACCA, HUS and University of Strasbourg - PhD co-supervisor
• Dr Amir Nahas, University of Strasbourg - PhD co-supervisor

The program will include:

• Presentations of laureates of the 2021 call for ICube research proposals for a presentation of their funded project (coming to an end at the end of the year)
• Presentations of those wishing to submit a proposal to ICube's 2023 call for proposals
• Time for discussions, proposals and exchanges on future actions

The finalized program will be communicated later on.

The organizers: Amir, Anne, Evelyne, Nadia, Simon and Vincent

For the IRMC, InCA and IMEE transverse axes

Abstract

Inspired by the potential of artificial intelligence (AI) to improve access to expert-level medical image interpretation, several organizations began developing deep learning-based AI systems for detecting diabetic retinopathy (DR) from retinal fundus images around 2015. Today, these AI-based tools are finally being deployed at scale in certain parts of the world, often bringing DR screening to a population lacking easy access to timely diagnosis. The path to translating AI research into a useful clinical tool has gone through several unforeseen challenges along the way. In this talk, we share some lessons contrasting a priori expectations (“myths”) with synthesized learnings of what truly transpired (“reality”), to help others who wish to develop and deploy similar medical AI tools.
 

Biography

Dr Yun Liu is a staff research scientist in Google Health. In this role he focuses on developing and validating machine learning for medical imaging across multiple fields: pathology, ophthalmology, radiology, and dermatology. Yun completed his PhD at Harvard-MIT Health Sciences and Technology, where he worked on predictive risk modeling using biomedical signals, medical text, and billing codes. He has previously also worked on predictive modeling for nucleic acid sequences and protein structures. Yun completed a BSc in Molecular and Cellular Biology and Computer Science at Johns Hopkins University.

Join the webinar on zoom

The speakers were:

• Aurélie Simard - Paris-Saclay, INSP: « Risks and opportunities of the introduction of AI in the user relation »
• Aggée Lomo et Laurence Rasseneur - University of Strasbourg, LINCS: « Mended human, human enhancement: supporting technologies & handicaps »
• Benoît Rosa - CNRS, ICube: « Robotics & AI for surgery: ethical aspects and human factors »

Benoît Rosa, CNRS research scientist and HealthTech member, presented some methods and challenges associated with AI in the context of medical robotics, focusing on control & automation of medical interventions.

Check out the full program here

Abstract

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.

Jury members

• Prof. Cédric WEMMERT, Université de Strasbourg - PhD supervisor
• Prof. Srdjan STANKOVIĆ, University of Belgrade, Serbia - PhD co-supervisor
• Dr Xavier DESCOMBES, Research Director, INRIA Sophia Antipolis - Reviewer
• Prof. Maja TEMERINAC OTT, Hochschule Furtwangen, Germany - Reviewer
• Dr Odyssée MERVEILLE, INSA Lyon - Examiner
• Dr Sarah LECLERC, Université de Bourgogne - Examiner
• Dr Thomas LAMPERT, Université de Strasbourg - Invited member

Join through videoconference

Videoconference link

• Meeting ID: 942 0693 2195
• Password: xkn11A

Marion Neukam, Associate Professor and HealthTech member, will be presenting, conjointly with Frédéric Rufi, R&D manager at Bürkert, the different aspects of innovation processes in a company, including Stage-Gate and the general experience of Bürkert.

• Where do innovations come from?
• How to organize a company to favor innovation?

To register, contact: romane.verbeke[at]ac-tions.org

Learn more on the BETA website

Short biography

Dr Sandra Keller holds a PhD in Psychology and is a postdoctoral researcher at the Department of Visceral Surgery and Medicine, Inselspital Bern University Hospital.

Abstract

Surgery is a task that requires a high level of teamwork and coordination. Therefore, communication among team members in the operating room (OR) has a major impact on surgical quality and patient outcomes. In the last few years, our research team moved from observation of communication in the OR to interventions to improve communication in the OR. We developed and tested the StOP? protocol, an intraoperative briefing initiated by the leading surgeon with the aim to update the whole OR team during the operation on the current Status (St) of the operation, next Objectives (O), potential upcoming problems (P) and to encourage the team members to ask questions (?).

Join the seminar online

• Meeting number: 2731 923 5514
• Password: V7fmqCWp83B

• Introduction to Deep Learning, Léo Bois (Université de Strasbourg)
• Convolutional Neural Networks for object detection: fast and accurate results with the YOLO (You Only Look Once) method, David Cornu (Observatoire de Paris)
• Generative models for images, Bruno Galerne (Université d'Orléans)
• Deep Learning and dynamical systems: applications in neuroimaging, François Rousseau (IMT - Atlantique)
• Introduction to deep learning on graphs, Samuel Vaiter (CNRS, Université Côté d'Azur)

Application deadline:   24 June 2022.
For reasons of room capacity during the tutorial sessions, registration (free but mandatory) is subject to validation by the organizers.

Registration and details on the dedicated website


The organizers
Clémentine Courtès, Sylvain Faisan, Jonathan Freundlich, Laurène Hume, Laurent Navoret
summerschool2022[at]math.unistra.fr

The program includes a time slot for Interdisciplinary Thematic Institutes, with 3 presentations:

• ITIs in the scientific and educational strategy of the University of Strasbourg
  By Bernard Bayle
• HealthTech presentation & activity report
  By Bernard Bayle, HealthTech coordinator
• IRMIA++ presentation & activity report
  By Raphaël Côte, future IRMIA++ coordinator

Download the full program below (in French):

Abstract (in French)

La spectroscopie par Résonance Magnétique Nucléaire est une technique d’analyse de choix pour l’identification et la quantification d’espèce chimique. Elle souffre cependant d’une faible sensibilité intrinsèque ce qui rend difficile son utilisation pour de très faible volume de mesure. Nous proposons dans ce projet de thèse de remédier à cette limite en adaptant la proximité et la taille de l’élément de mesure au volume que l’on souhaite analyser, en l’occurrence il s’agit de pouvoir surveiller l’évolution, à l’échelle d’une centaine de neurones, de biomarqueurs pour comprendre les stades précoces du développement de maladies neurodégénératives sur des modèles animaux. Ce travail de thèse étudie les besoins en terme de conditionnement du signal RMN issu d’une microbobine aiguille développée pour l’implantation in-vivo sur des rats, ainsi que la faisabilité de mener des expérimentations de spectroscopie haute résolution.

Jury members

• Prof. Luc HEBRARD, Université de Strasbourg - PhD supervisor
• Prof. Wilfried UHRING, Université de Strasbourg - PhD co-supervisor
• Prof. Christophe DOLABDJIAN, Université de Caen - Reviewer
• Prof. Hamid KOKABI, Université de la Sorbonne - Reviewer
• Prof. Joris PASCAL, Fachhoschule Nordwestschweiz - Examiner
• Dr Latifa FAKRI-BOUCHET, Université de Lyon 1 - Examiner