๐ Call for Participation: ๐ ๐๐๐๐ค๐-๐๐ข๐ฅ๐ @ ๐๐๐๐ ๐ฎ๐ฌ๐ฎ๐ฒ | ๐ ๐๐น๐๐ถ๐บ๐ผ๐ฑ๐ฎ๐น ๐ฅ๐ฒ๐ฎ๐๐ผ๐ป๐ถ๐ป๐ด & ๐ฅ๐ฒ๐ฐ๐ผ๐ป๐ฐ๐ถ๐น๐ถ๐ฎ๐๐ถ๐ผ๐ป ๐ถ๐ป ๐ฅ๐ฒ๐ฎ๐น-๐ช๐ผ๐ฟ๐น๐ฑ ๐๐น๐ถ๐ป๐ถ๐ฐ๐ฎ๐น ๐ช๐ผ๐ฟ๐ธ๐ณ๐น๐ผ๐๐
We're excited to introduce the MEDIQA-CORE 2026 shared tasks, focused on advancing clinically grounded multimodal AI models built for real-world clinical workflows and evaluated on real clinical data.
๐น ๐๐๐ฌ๐ค ๐: ๐๐ซ๐๐ข๐ง ๐๐ฎ๐ฆ๐จ๐ซ ๐๐ฎ๐๐ญ๐ฒ๐ฉ๐ ๐๐ฅ๐๐ฌ๐ฌ๐ข๐๐ข๐๐๐ญ๐ข๐จ๐ง
Develop models that combine brain MRI images, H&E pathology slides, and pathology reports to predict tumor subtypes while being robust to missing modalities, reflecting how data actually becomes available in clinical practice.
๐น ๐ง๐ฎ๐๐ธ ๐ฎ: ๐ฅ๐ฎ๐ฑ๐ถ๐ผ๐น๐ผ๐ด๐ ๐ฅ๐ฒ๐ฝ๐ผ๐ฟ๐ ๐๐ถ๐๐ฐ๐ฟ๐ฒ๐ฝ๐ฎ๐ป๐ฐ๐ ๐๐๐๐ฒ๐๐๐บ๐ฒ๐ป๐
Build multimodal systems that analyze 3D abdominal CT scans, preliminary radiology reports, and candidate report edits to assess image-text agreement, clinical severity, and discrepancy type, simulating real radiology review workflows.
Huge thanks to our collaborators at the University of Washington, especially Meliha Yetisgen, and @KurtLabResearch for their hard work in preparing the data usage agreements to make participant access possible.
And many thanks to the @imageclef organizers, @henmueller1 and Cristian Stanciu, and Bogdan Ionescu for their continued support!
We're looking forward to seeing the community's ideas and participation!
๐ ๐ช๐ฒ๐ฏ๐๐ถ๐๐ฒ: https://t.co/C0lxr4UMmyย
๐ฉ ๐๐ผ๐ป๐๐ฎ๐ฐ๐: [email protected]
๐ ๐๐๐๐ค๐ ๐ ๐ฎ๐ถ๐น๐ถ๐ป๐ด ๐๐ถ๐๐: https://t.co/EaDi2sHQmO
๐ ๐๐ฒ๐ ๐๐ฎ๐๐ฒ๐:
โฆ๏ธ Registration closes: ๐๐๐ซ๐๐ก ๐๐, ๐๐๐๐
โฆ๏ธ Test set release: April 23, 2026
โฆ๏ธ Run submission deadline: May 7, 2026
โฆ๏ธ Paper submission deadline: May 28, 2026
โฆ๏ธ CLEF 2026 Conference: September 21-24, 2026 (Jena, Germany)
๐ง๐ฎ๐๐ธ ๐ญ ๐ข๐ฟ๐ด๐ฎ๐ป๐ถ๐๐ฒ๐ฟ๐:
โข Asma Ben Abacha, Microsoft
โข Wen-wai Yim, Microsoft
โข Daniel K Low, University of Washington, Kurtlab
โข @Juampablo_24, University of Washington, Kurtlab
โข Mehmet Kurt, University of Washington, Kurtlab
โข Jake Ruzevick, UW Medicine, Neurosurgery
โข Daniel D. Child, UW Medicine, Pathology
๐ง๐ฎ๐๐ธ ๐ฎ ๐ข๐ฟ๐ด๐ฎ๐ป๐ถ๐๐ฒ๐ฟ๐:
โข Asma Ben Abacha, Microsoft
โข Wen-wai Yim, Microsoft
โข @ZhaoyiSun6, University of Washington
โข Meliha Yetisgen, University of Washington
โข Fei Xia, University of Washington
#MEDIQA #ImageCLEF #CLEF2026 #SharedTask #MultimodalAI #ClinicalAI #MedicalImaging #Radiology
Great visit from Prof. Mehmet Kurt @KurtLabResearch to UC Merced last Friday! We had a lot of fun learning about his team's amazing research on brain biomechanics and neuroimaging!
UW Mechanical Engineering is hiring! We have multiple faculty positions available, including one in medical imaging physics. Please feel free to DM me with any questions and hope you help spread the word! https://t.co/MNOx0Cos8V
Come and become our colleague @UWBioE! We are hiring a faculty member in medical imaging & AI (see specific areas of interest below), feel free to amplify and contact us if you have any questions!
Calling all faculty candidates (postdocs, Asst Profs, senior grad students) - Apply to @UWBioE! Job ad at link below. If you are considering applying and have questions on the ad, please email or DM me. Come join us, UW is amazing! https://t.co/SaWp9k7nsD
New 20hr bootcamp on Probability & Statistics!!!
Videos released weekly but full playlist already posted:
https://t.co/3LnVCaeYGv
Probability & Statistics are cornerstones of data science and machine learning. This course rapidly covers the basics and gets into advanced topics.
University of Washington biochemist David Baker has won the 2024 Nobel Prize in Chemistry for his pioneering work designing new proteins that can neutralize viruses, target cancer cells, and more.
Read more from @uwmedicine: https://t.co/PU7AM1ETvA
#NobelPrize#GoHuskies
New paper out in Brain Multiphysics! In this collab. work, we demonstrated that Chiari Malformation I patients have increased brain motion, a potential indicator for surgical outcomes.
@ShrivastavaMD@MataiResearch@MountSinaiNeuro@DrMichaelLevitt
https://t.co/cGvFYqYnZO
Hi Marrakech! ๐
We will be presenting our deep-learning based brain tumor and stroke lesion segmentation algorithms at #MICCAI2024@MICCAI_Society, come say hi!
If you are interested in Fairness of AI in Medical Imaging, check our new Youtube Channel with recordings of the events we have been organizing around this topic!
Join us for this exciting September Edition of COMPASS seminar series as Dr. Celia Cintas from IBM Research Africa discusses fairness in machine learning for dermatology!
Register here: https://t.co/jtyjDCtKLX
@mriuganda@mailab_io@naamii_nepal@The_MiND_Lab
๐จNew paper with @ShrivastavaMD in @WorldNeurosurg! We conducted morphometric analysis in CM-1 patients and found that the amount of tissue at the foramen magnum correlates with CM-1 more so than tonsillar length.
@MountSinaiNeuro@UWNeurosurgery
https://t.co/01PEYglAa3