Computer Vision News - November 2020

337 Classification in Ultrasound Images (TN-SCUI2020) Challenge led by Dong Ni and Ruobing Huang (Shenzhen University). With participants spanning the globe, the schedule mixed things up to ensure that everyone could have a taste of the exciting content of the workshop. The morning started with ASMUS keynote by Lasse Løvstakken (Norwegian University of Science and Technology) and his talk on Simplifying echocardiography: Opportunities and challenges. The second keynote took place after lunch with Emad M. Boctor (Johns Hopkins University) joining us to speak on Democratizing Multi-modal Spectroscopic Photoacoustic Sensing. Live demonstrations of point-of-care ultrasound devices and systems were another highlight; there were 7 in total and spanned the gamut from optic nerve sheath measurement through to automatic c-plane detection in pelvic floor transperineal volumetric ultrasound. Pictured here is Thomas van den Heuvel who together with Chris de Korte (Radboudumc) were winners for best demonstration for their AI-based classification of fetal ultrasound with the Babychecker. Congratulations once again to the prize winners too, with awards sponsored by MGI Tech Co Ltd – the full list of winners can be seen at the ASMUS website . The ASMUS workshop proceedings were published as part of Springer's Lecture Notes in Computer Science series and they can be found on the Springer site . We hope to continue this series of ultrasound workshops at future MICCAIs – please do watch this space! ASMUS (Medical Ultrasound) Best of MICCAI 2020