For more information about the week, take a look at EUCOR's recap post: Winter School - Digital Healthcare Entrepreneurship.

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.

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.

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

The Grand Est Franco-German University Prizes are awarded in six categories for student work and projects carried out with a view to cooperation and interculturality between France and Germany. 

The call for papers is currently open:

• Full paper submission: January 15^th, 2023
• Provided Acceptance notification: February 26^th, 2023
• Final paper submission: March 26^th, 2023
   

 The EquinOCS system for registration and sending your papers is now open and can be accessed here.

 A selection of presented papers will be invited with extended version for a Special Issue in Machines, entitled "New Trends in Medical and Service Robots-Selected Papers from MESROB 2023".

Check out the conference website for further information 

 

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

The program, under preparation, will include scientific seminars throughout the day and a lunch buffet. This will be 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.
 

The previsionnal scientific program is as follows:

• short activity report by HealthTech's coordinator
• two plenary lectures
• a blitz session for PhD students
• a poster session
• 6 conferences by HealthTech scientists

Register here before November 5^th

The topic is "Ultrasound image compounding with deep learning".

• Duration: 18 months
• Starting date: Oct-Dec 2022
• Application deadline: October 1^st, 2022

Check out the job offer here
 

The TechnoFUS Laboratory focuses on new technologies for ultrasound therapies, and emerged from a collaboration between the ICube laboratory (Laboratory of Engineering science, Computer science and Imaging) and the company Image Guided Therapy (Pessac, France), specializing in image-guided ultrasound therapy devices. In order to face the technological challenges related to ultrasound therapies, the TechnoFUS Lab relies on the expertise of:

• ICube's RDH team (Robotics, Data Science and Healthcare Technologies)
• ICube's SMH team (Heterogeneous Systems & Microsystems)
• IRIS platform (Imaging, Robotics & Innovation for Health)
   

The TechnoFUS Laboratory is co-directed by Dr Jonathan Vappou, CNRS scientist and HealthTech member, and Dr Erik Dumont, CEO of Image Guided Therapy.

Learn more on TechnoFUS Lab's website

AI-DIAL is led by Dr Barbara Seeliger, surgeon scientist and HealthTech member.

Download the Breaking News article below - by IHU Strasbourg's Communication team:

Two positions are currently open at the GAIA platform, dedicated to Graphics, Artificial Intelligence & data Analysis:

• Data science project manager
• Data scientist engineer

Learn more about GAIA on its website

Download the job offers below:

Check out the full Research & Innovation brochure (in French)

Download the article on HealthTech:

Focusing on creativity and innovation processes, the project, entitled "University hospital institutes (IHU): a new paradigm for innovation in the health sector?", was meant to provide a better understanding of a successful IHU model management. To achieve the research objectives, an intern was recruited on this project, in order to precise the theoretical framework of the study through literature review, conduct interviews and analyze the obtained data.

Check out the explanatory video by Sophie Bollinger and Emilie Ruiz, HealthTech members and Associate Professors co-leading this interdisciplinary project:
 

This challenge is in line with recent efforts in the computer vision and deep learning community, which have begun to transition from coarse-grained tasks such as action and activity recognition to finer-grained tasks such as Human-Object Interaction (HOI).  Formalizing surgical activities using triplets and localizing them represents a step toward comprehensive fine-grained modeling in the surgical domain, and can facilitate the development of intra-operative decision support systems in the operating room (OR). CholecTriplet2022 offers participants the opportunity to explore these research areas, engage with the community, compete, collaborate, and push the boundaries of surgical scene understanding.

This challenge will provide access to the CholecT50 dataset, a dataset of 50 surgical videos which has been annotated by clinicians with 100 action triplet classes. A baseline study^[1] provides additional background about the task and dataset. The teams with the best results will be rewarded with prizes. We also plan a joint publication with top participants after the challenge.

Visit the challenge website (registration & information)

The CholecTriplet2022 Organizers
Aditya Murali, Chinedu Nwoye, Saurav Sharma, Tong Yu, Armine Vardazaryan, Deepak Alapatt, Nicolas Padoy
 cholectriplet2022-support[at]icube.unistra.fr

Check out the full information letter (in French)

Download the article on HealthTech:

• Short scientific presentations (spotlights): 5 min presentation + 2 min questions to introduce a topic you are working on. This format can also be used to look for a collaborator
• Long scientific presentations: 15 min presentation + 5 min questions to present recent research results

If you are interested to present in one of these sessions, please submit the title of your talk using the form below by March 4th:
  https://docs.google.com/forms/d/e/1FAIpQLSddYuuzAMPWeoDy_Wuwa45jpoNc5BKz34F-nQ06ft6t77w1lg/viewform?usp=sf_link

Stefano Bianchini is an Associate Professor at the Faculty of Economics and Management, University of Strasbourg and researcher at the BETA. He also has been appointed coordinator of the Master programm in Data Science for Economics and Business DS2E launched in September 2020. His primary research interests are the economics of innovation and applied microeconometrics.

Article (in French) from the University of Strasbourg