Noble Lab

Could AI transform fetal ultrasound scanning? Researchers have developed an AI system designed to support clinicians during live fetal ultrasound scans. Read the paper here: buff.ly/Ck86qO7 @guo_xiaoqing @MohdAlsharid @FetalUltrasound @AlisonNoble_OU

The Noble Group celebrates the International Day of Women and Girls in Science on 11th February. Our laboratory values the contribution of our postdoctoral researchers and PhD students to science and society. eng.ox.ac.uk/biomedical-ima…

Delighted to publish our next paper on #AI in #regionalanaesthesia, in @BJAJournals sciencedirect.com/science/articl… Grateful to my co-investigators - @Davidbstl @boynebellew @ajrmacfarlane @amit_pawa @AlisonNoble_OU @HelenEHigham and many others without a Twitter/X handle!

We address the question: What happens when ONLY some clients have labeled data in Federated Learning? Read here: bit.ly/rethinkingSSFL… . The work was done under the supervision of @AlisonNoble_OU @NobleLabOxford @UniofOxford, funded by @EPSRC, @VisualAI_UK

Com and join us! We're advertising for a Departmental Lecturer in Artificial Intelligence for Healthcare Imaging. Closes 4th September. eng.ox.ac.uk/jobs/job-detai…

Privileged to have met Alison Noble @NobleLabOxford yesterday talking imaging Ai amidst the @NIHRBhamBRC showcase @uhbtrust @RRG_Birmingham @Racegbn @InflamAge_UoB

Very pleased to congratulate our lab member Alex Gleed for winning Best Runner-Up Oral Presentation at ISBI 2023!

✍️ New publication in @npjDigitalMed using #machinelearning without looking at fetal size to reduce absolute error in gestational age assessment down to 3 and 4 days during 2nd and 3rd trimesters. @FetalUltrasound @NobleLabOxford @Ox_wrh

The fetal brain undergoes significant changes as a baby develops. Oxford researchers like @NobleLabOxford at the Institute of Biomedical Engineering are working to improve fetal ultrasound analysis, leading to a number of advances in this area oxford.shorthandstories.com/parental-and-m… #OxfordBrain

WELL DONE team for making the the cover of @isuog this month! We recorded & extracted words during 20wk scans...creating a ‘lexicon’ of fetal ultrasound. This novel approach can be used in AI by creating ‘soft’ descriptions of hours of fetal ultrasound. @Ox_wrh @NobleLabOxford

😎 Over the moon!!! We won the Best Paper Award at ECCV-MCV 2022! Thanks for all of your hard work and kind support to make it happen! #computervision #medicalimaging #ECCV2022

Work from our lab just published: "Automatic image guidance for assessment of placenta location in ultrasound video sweeps" in Ultrasound in Medicine & Biology. Open access here:authors.elsevier.com/sd/article/S03…

Massive congratulations to our Dr Qianhui Men, winner of @MICCAI_Society Young Scientist Award! #MICCAI2022

#Itsawrap #calopus #vivagoa #closingremarks Thank you all for making this workshop a great success! @Shinjini_Bhtngr

#Keynote @fetalultrasound on automating anomaly scans needs improvement, #calopus protocol for pregnancy risk assessment algorithm, LOCUS device for estimating gestational age, gestational age estimation based on image analysis. #realworldsoultions #AIinultrasound

Ashok Khurana talks about #AIinhealthcare his experiences - AI simplifying and reinventing the way radiology is practiced. #ultrasound #calopus

Mr. Alexander Gleed giving a tutorial on different kinds of data bias and how to accommodate each one with images of cats. 😺😸🙀 Great learning! #AI #Healthcare #ML #DataScience @oxengsci @THSTI @THSTIFaridabad @UniofOxford @adapt_thsti

#Algorithms are data hungry. But one institution cannot have data which is representative of the larger population. Hence #datasharing. What can institutions do to facilitate this? How to deal with the challenges? Federated learning! @NobleLabOxford @THSTIFaridabad @Perceptron97

We are off to a great start to the workshop! The first talk was given by Prof. Alison Noble who spoke on "Progress in ultrasound image Analysis". #AI #Healthcare #ML #DataScience @AlisonNoble_OU @THSTIFaridabad @UniofOxford @adapt_thsti

With DL image analysis, does acquiring ultrasound images become easier for sonograohers? or simply needing a different set of skills? (identifying standard planes is no longer a mandatory skill?) Yipei's now-award-winning paper had a look at this 🧐 doi.org/10.1007/s11548…