WEISS at MICCAI 2021
15 October 2021
It’s been another successful year for WEISS at MICCAI!
The annual MICCAI conference attracts world leading biomedical scientists, engineers, and clinicians from a wide range of disciplines associated with medical imaging and computer assisted intervention. As with last year, this year’s conference was hosted virtually, but for the first time the ClinICCAI event was co-hosted -Ìýa MICCAI event dedicated to healthcare practitioners researching the translational and clinical aspects of medical image computing, computer-assisted interventions, and medical robotics.
The ASMUS workshop was held for the second year in a row with 22 presentations, 2 keynotes and 5 demos taking place on 4 October. Several WEISS papers were submitted as part of the workshop, with Shaheer Saeed et al. winning the best paper award with their paper: ! Well done also to Zach Baum who won the best demo award for his demo: ADAPTS (Artificial intelligence Diagnostic AndÌýPrognostic Tools for Sonography) for real-time ultrasound assessment and COVID-19 diagnosis. Congratulations to the all-WEISS delivery team: Yipeng Hu, Su-Lin Lee, Alex Grimwood, Zhe Min and Zach Baum for organizing a great workshop!
Sophia Bano, Francisco Vasconcelos and Danail Stoyanov were all part of the organising committee for the EndoVis-FetReg challenge. This was a sub-challenge of the popular endoscopic vision challenge EndoVis, which has been a regular feature at MICCAI since 2015. The FetReg challenge explored placental vessel segmentation and registration for mosaicking in clinical fetoscopy for the treatment of Twin-to-Twin Transfusion Syndrome (TTTS) – The FetReg challenge was also featured in the June edition of Congratulations to Binod Bhattarai and team who won the segmentation award at FetReg.
WEISS also had success at the . Also part of the EndoVis challenge, this sub-challenge is aimed at developing automated skills assessment algorithms using virtual reality (VR) based surgical tasks and objective metrics that are provided directly from the virtual environment. Emanuele Colleoni, Dimitris Psychogyios and Yueming Jin recieved the runner-up prize in Category 1: Surgical tool clevis and needle detection; and also managed to scoop first prize in Category 2: Objective skill efficiency metrics predictions. Congratulations!ÌýÌý
Sophia Bano also co-organised the Women in MICCAI Inspirational Leadership Legacy (WiM WILL) initiative. It’s goal is to enhance and spotlight leaders and build a community legacy. This was also a great success – you can watch some of the highlights on the . Ìý
WEISS Papers at MICCAI, ClinICCAI and ASMUS:
Sophia Bano, Brian Dromey, Francisco Vasconcelos, Raffaelle Napolitano, Anna L. David, Donald M. Peebles, and Danail Stoyanov
Fernando Pérez-GarcÃa, Catherine Scott, Rachel Sparks, Beate Diehl, and Sébastien Ourselin
Cal-Obs, A Prospective Study Investigating The Use Of Dimensionless Square Jerk For The Assessment Of Expertise In Obstetric Ultrasound
Dromey, Brian*; Vasconcelos, Francisco; Neary-Zajiczek, Lydia; David, Anna L.; Stoyanov, Danail; Peebles, Donald
Minimising Subjectivity In Surgery - An Automl Approach For Intraoperative Fluorescence Angiography.
Soares, António S*; Bano, Sophia Dr; Clancy, Neil T; Lovat, Laurence; Stoyanov, Danail; Chand, Manish
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LiamÌýF.ÌýChalcroft, JiongqiÌýQu, SophieÌýA.ÌýMartin, IaniÌýJMBÌýGayo, GiulioÌýV.ÌýMinore, ImrajÌýRDÌýSingh, ShaheerÌýU.ÌýSaeed, QianyeÌýYang, ZacharyÌýM.ÌýC.ÌýBaum, AndreÌýAltmann, YipengÌýHu
AlexanderÌýGrimwood, JoaoÌýRamalhinho, ZacharyÌýM.ÌýC.ÌýBaum, NinaÌýMontaña-Brown, GavinÌýJ.ÌýJohnson, YipengÌýHu, MatthewÌýJ.ÌýClarkson, StephenÌýP.ÌýPereira, DeanÌýC.ÌýBarratt, EsterÌýBonmati
HarryÌýMason, LorenzoÌýCristoni, AndrewÌýWalden, RobertoÌýLazzari, ThomasÌýPulimood, LouisÌýGrandjean, ClaudiaÌýA.ÌýM.ÌýGandiniÌýWheeler-Kingshott, YipengÌýHu, ZacharyÌýM.ÌýC.ÌýBaum
ShaheerÌýU.ÌýSaeed, YunguanÌýFu, VasilisÌýStavrinides, ZacharyÌýM.ÌýC.ÌýBaum, QianyeÌýYang, MirabelaÌýRusu, RichardÌýE.ÌýFan, GeoffreyÌýA.ÌýSonn, J.ÌýAlisonÌýNoble, DeanÌýC.ÌýBarratt, YipengÌýHu