Latest posts tagged with #ECAI2025 on Bluesky
Read the second in our series of interviews meeting the #ECAI2025 Doctoral Consortium participants. We caught up with Frida Hartman to find out more about her research into bias in AI-based recruitment tools
@euraiorg.bsky.social
aihub.org/2025/12/02/i...
📄 An automatic alignment strategy for medical ontologies: the MedPix 2.0 case study
Our latest work presented at HC@AIxIA + HYDRA 2025 workshop in #ECAI2025
We proposed an ontological version of ICD-11 and MedPix 2.0 data set and an LLM-based pipeline for automatic alignment
Image from article in Radiology: Artificial Intelligence
MR-Transformer predicts knee osteoarthritis progression to joint replacement using MRI https://doi.org/10.1148/ryai.240373 @cem.bsky.social @cai2r.net #ECAI2025 #AI #MachineLearning
Presentation of publication titled Knowledge-Driven Bayesian Uncertainty Quantification for Reliable Fake News Detection by Julia Puczyńska is being held now at the 28th European Conference on Artificial Intelligence (#ECAI2025) at the Nettuno Room.
#ECAI2025 #IDEASNCBR #AI #FakeNewsDetection
Image from article in Radiology: Artificial Intelligence
Accurate and efficient segmentation of the #dentate nucleus from brain quantitative susceptibility mapping images https://doi.org/10.1148/ryai.240478 #ECAI2025 #AI #MachineLearning
Dear #ECAI2025 Attendees,
Tomorrow, during #ECAI 2025 our colleague Julia Puczyńska will present publication: Knowledge-Driven Bayesian Uncertainty Quantification for Reliable Fake News Detection.
Come and listen about fake detection. See you tomorrow 🤝
#ECAI2025 #AI #FakeNewsDetection
🏆 El nostre director, Carles Sierra, ha rebut el Distinguished Service Award 2025 a la cerimònia inaugural de l’ #ECAI2025.
Un reconeixement al seu lideratge i a la seva contribució al progrés de la recerca en #ArtificialIntelligence a Europa.
#IIIA #EurAI #AIresearch
Image from article in Radiology: Artificial Intelligence
#FederatedLearning models for #MRI #prostate segmentation and #cancer detection https://doi.org/10.1148/ryai.240485 @rug.nl @nkinl.bsky.social #ECAI2025 #AI #MachineLearning
Image from article in Radiology: Artificial Intelligence
Accurate and efficient segmentation of the #dentate nucleus from brain quantitative susceptibility mapping images https://doi.org/10.1148/ryai.240478 #ECAI2025 #AI #MachineLearning
Congratulations to the winners of the ECAI and PAIS outstanding paper awards! #ECAI2025 @euraiorg.bsky.social
aihub.org/2025/10/28/w...
Image from article in Radiology: Artificial Intelligence
Radiologist and AI Concordance in Screening Mammography and Association with Future Breast Cancer Risk https://doi.org/10.1148/ryai.240804 #ECAI2025 #AI #MachineLearning
Image from article in Radiology: Artificial Intelligence
Deep learning method for lumbar paraspinal muscle segmentation on MRI https://doi.org/10.1148/ryai.240833 @griffith.edu.au #ECAI2025 #AI #MachineLearning
At #ECAI2025 in Bologna this week for @livepeer.bsky.social, one of the conferences I’ve been most looking forward to! So many great presentations, it’s hard to choose. If you’re around and open to connecting, I’d love to chat.
Image from article in Radiology: Artificial Intelligence
#AI algorithm for CT lung nodule cancer risk assessment reached peak performance before using the full training dataset https://doi.org/10.1148/ryai.240636 #ECAI2025 #AI #MachineLearning
Kamila Górska and John Lawrence are at #ECAI2025 presenting their work on Argumentative Strategies and Forecasting Success, and DRACS: Diachronic Representation of Argument Construction Styles.
A figure showing a graph where nodes are edges use different colors. Yellow, green, and blue nodes represent dynamic elements of the scene, whereas black nodes represent static elements. Red dashed arrows represent edges between different snapshots. Below the figure, there are labels explaining the use of colors for the respective snapshots.
How to represent scenes that change on the time to perform tasks on them? Tomorrow, Oct 26, @osamamohammed will present a paper by Osama Mohammed, Jiaxin Pan, Mojtaba Nayyeri, me, and Steffen Staab at the European Conference on Artificial Intelligence […]
[Original post on mstdn.degu.cl]
Image from article in Radiology: Artificial Intelligence
Dentate nucleus segmentation tool using #DeepLearning applied to brain MRI-based quantitative susceptibility mapping images https://doi.org/10.1148/ryai.240478 #ECAI2025 #AI #MachineLearning
Image from article in Radiology: Artificial Intelligence
Radiologist and AI Concordance in Screening Mammography and Association with Future Breast Cancer Risk https://doi.org/10.1148/ryai.240804 #ECAI2025 #AI #MachineLearning
Image from article in Radiology: Artificial Intelligence
MR-Transformer: A Vision Transformer-based Deep Learning Model for Total Knee Replacement Prediction Using MRI https://doi.org/10.1148/ryai.240373 @cem.bsky.social @cai2r.net #ECAI2025 #AI #MachineLearning
Are you #ECAI2025? Identity-aware AI workshop starts in 17 mins in room 0.4!!! identity-aware-ai.github.io
Image from article in Radiology: Artificial Intelligence
5-year breast cancer incidence is highest when radiologists and AI agree on positive screening mammography findings https://doi.org/10.1148/ryai.240804 #ECAI2025 #AI #MachineLearning
Just 1️⃣ day left!
During 28th European Conference on Artificial Intelligence our colleague Julia Puczyńska will present work titled: Knowledge-Driven Bayesian Uncertainty Quantification for Reliable Fake News Detection.
See you tomorrow at #ECAI2025 in Bologna🤝
#ECAI #AI #IDEASNCBR #ECAI2025
Our Senior Managing Editor, Lucy, will be attending #ECAI2025 (@euraiorg.bsky.social) next week. If you’d like to write about your work, cover a talk, or meet up to chat about any sci-comm ideas you have, then send us a DM
Are you at #ECAI2025 ? Then you should definitely check our workshop on ***Identity-aware AI*** happening tomorrow, room 0.4, starting 14.00 identity-aware-ai.github.io , organized by myself with @pranav-nlp.bsky.social @gingerinai.bsky.social @a-lauscher.bsky.social Neele Falk, Soda Marem Lo
🎉 We are excited to present 'Argumentative Strategies and Forecasting Success’ at ECAI 2025! It investigates the role reasoning plays in predicting future events. If you are interested, read more details below! 👇 #ECAI2025 #Argumentation #Forecasting
📢 We are looking forward to presenting our paper "DRACS: Diachronic
Representation of Argument Construction Styles" by Yevhen Kostiuk, Chris Reed, John Lawrence on Monday 27th October at ECAI 2025. #ECAI2025 #Argumentation
⚡ Lighning Talk: 12:57-12:59
📄 Poster Session: 13:00-14:00 (board 2-157)
Discovering Association Rules in High-Dimensional Small Tabular Data
I'm excited to present our new method for enhancing knowledge discovery from tabular data using tabular foundation models at the #ECAI2025 conference workshops (ANSyA) this Sunday, October 26th.
See our paper, Discovering Association Rules in High-Dimensional Small Tabular Data, below 👇.
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The program of our 3rd Workshop on Evolutionary Dynamics in social, cooperative and hybrid AI #EDAI2025 is live! 🤩
📍 Bologna, Italy at #ECAI2025
📆 October 26, 2025
With:
Keynote by @chilbe.bsky.social
Sessions on Learning, Evolutionary Game Theory, & Applications
🔗 Full lineup tinyurl.com/2s4j56nz
