Scientific conference management platform

15-20 juin 2025
VVF Lège-Cap-Ferret - Lège-Cap-Ferret - France
Microfluidics is constantly evolving, and a thematic school, organized on a recurring basis, is an ideal way of disseminating these methodological and technical advances to a wide audience, from beginners to advanced (i.e., students, engineers, researchers, industrialists). This thematic school in microfluidics will both reinforce participants' basic knowledge and provide information on recent developments in the field. This summer school, organized over 5 days, will be a forum for technical and scientific exchange, open to engineers, researchers, technicians and industrials as well as doctoral and post-doctoral students. As microfluidics is a multi-disciplinary science, the aim of this school will be to bring together each discipline, encourage interdisciplinarity, and help new themes to emerge. This recurring thematic school is thus an important event for the Microfluidics scientific community, to strengthen links within the community and share knowledge with other networks. This summer school will take place at Lège-Cap-Ferret from June 15th to 20th, 2025. Participants will be welcomed on Sunday 15th evening and the courses will take place from Monday 16th June in the morning to Friday 20th in the early afternoon.

15 juin 2025
- online - France
Multiple Sclerosis (MS) is a common and potentially debilitating disease affecting around 3 million persons in the world. Currently, Magnetic Resonance Imaging (MRI) plays a central role in this context and in particular allows the identification of MS lesions in the central nervous system. The identification of these lesions on a given MRI image is a complex and mentally demanding task that often leads to an underestimation of disease activity, even for most experienced radiologists. There is thus a need for automated tools that can provide clinicians an aid for accurate and robust identification and quantification of MS lesions. To date, the medical imaging community concentrated its efforts toward the segmentation of the lesions in brain MRI. For this purpose, over the past years, several challenges have been organized to assess the ability of automated methods to detect multiple sclerosis (MS) lesions as compared to manual delineation (The longitudinal lesion challenge; https://smart-stats-tools.org/lesion-challenge, MSSeg: https://portal.fli-iam.irisa.fr/msseg-challenge/, MSSeg2 https://portal.fli-iam.irisa.fr/msseg-2/). These have allowed the community to explore innovative directions. The proposed MS-Multi-Spine challenge aims at offering the possibility to the medical imaging community to extend their methods to spinal cord lesions. This is an innovative challenge both from a clinical and methodological perspective. 1) Clinically, the presence of lesions in the spinal cord has a major prognostic value compared to brain lesions [1]. However, in clinical practice their detection represents a hard task for radiologists. Indeed, MS lesion detection/segmentation in spinal cord MRI is a complex task due to specific characteristics, including the size of the anatomical structures of interest (around 1cm diameter), the absence of sharp contrast between tissues and the occurrence of significant artifacts. As a result, despite its clinical importance, spinal cord MRI is currently under-exploited in patients with MS. Providing clinicians with tools capable of reliably identifying these spinal cord lesions would therefore be a major added-value. 2) Methodologically, spinal cord lesion detection raises a specific challenge. Indeed, in clinical practice, it is highly recommended to acquire at least two sequences among a set of available sequences, without specific guidelines to date. In practice, depending on the center and context, any combination of existing MR sequences can be provided. In this challenge, that represents a concrete complex case of multisequence datasets, we focus on four commonly used sequences: the sagittal T2 (that is always provided in the challenge and will be considered as the reference to segment), the sagittal STIR, the sagittal PSIR and the 3D MP2RAGE. From a methodological point of view, this is a concrete and paradigmatic case of missing modalities setting where, depending on the case, some modalities may be missing both at inference or training time. To the best of our knowledge, such clinical datasets are still rarely available in medical imaging.

15-18 juin 2025
- Lyon - France
Conference on medical ultrasound imaging (Including but not restricted to Doppler, 3D, beamforming, super-resolution, elastography, cardiac, vascular, cancer ...