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Detecting Pain During Cognitive Tasks via Visibility Graphs of Cortical Signals Detecting pain is critical for developing adaptive systems in clinical and assistive settings, allowing for timely interventions. This work presents an approach to detect the presence of physical…

🧠📊 Using #fNIRS & visibility graphs, Subramanian & Najafizadeh (2025) achieved >80% accuracy detecting pain during #cognitive tasks. A step towards pain-aware #BCI?

Check out the new research from #ISBI2025 here 🔗 doi.org/10.1109/ISBI...

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🚨Paper alert!
🚀 We presented SINETRA at #ISBI2025 in Houston
A new simulator for generating realistic 2D/3D neuron tracking data in moving animals like Hydra vulgaris
🧠 Helps test and improve tracking algorithms under tough conditions
📄 dx.doi.org/10.1109/ISBI...
#celltracking #syntheticdata #ISBI

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[NEWS] Last week, FBI was proud to attend the IEEE annual congress, #ISBI2025, in Houston

Our Challenge Officer, Dorian Kauffmann, presented the results of "Fuse My Cells" Challenge, the 2nd ed. of this deep-learning competition in #BioimageAnalysis

He was joined by the winner: Marek Wodzinski 👏

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Image from article in Radiology: Artificial Intelligence

Image from article in Radiology: Artificial Intelligence

BraTS-Africa dataset to improve the generalizability of #ML methods in #BrainTumor imaging https://doi.org/10.1148/ryai.240528 #ISBI2025 #imaging #AI #radiology

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Image from article in Radiology: Artificial Intelligence

Image from article in Radiology: Artificial Intelligence

Exploring performance of an in-house and a commercial model for breast cancer detection https://doi.org/10.1148/ryai.240039 #ISBI2025 #imaging #AI #radiology

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Image from article in Radiology: Artificial Intelligence

Image from article in Radiology: Artificial Intelligence

Commentary on #AI models to automate the protocoling of emergency brain MRI scans https://doi.org/10.1148/ryai.250218 #ISBI2025 #imaging #AI #radiology

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Image from article in Radiology: Artificial Intelligence

Image from article in Radiology: Artificial Intelligence

Deep Learning-based Aligned Strain from Cine Cardiac MRI for Detection of Fibrotic Myocardial Tissue in Patients with Duchenne Muscular Dystrophy https://doi.org/10.1148/ryai.240303 #ISBI2025 #imaging #AI #radiology

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A student in a grey shirt and dark trousers on the right of the picture is pointing out information on a poster (centre) to an interested observer in a pale shirt and beige chinos.

A student in a grey shirt and dark trousers on the right of the picture is pointing out information on a poster (centre) to an interested observer in a pale shirt and beige chinos.

And here is the poster with Injune Hwang presenting it #ISBI2025 @embs.org
One objective was to Improve patellofemoral joint (PFJ) motion tracking by assisting with point cloud registration
#Ultrasound #Imaging @stephenmellon.bsky.social

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Image from article in Radiology: Artificial Intelligence

Image from article in Radiology: Artificial Intelligence

Deep Anatomical Federated Network (Dafne): An Open Client-server Framework for the Continuous, Collaborative Improvement of Deep Learning–based Medical Image Segmentation https://doi.org/10.1148/ryai.240097 #ISBI2025 #imaging #AI #radiology

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Image from article in Radiology: Artificial Intelligence

Image from article in Radiology: Artificial Intelligence

Comprehensive analysis of deep learning models on breast #cancer screening https://doi.org/10.1148/ryai.250125 @alexandrecc.bsky.social #ISBI2025 #imaging #AI #radiology

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Image from article in Radiology: Artificial Intelligence

Image from article in Radiology: Artificial Intelligence

#MachineLearning & #DeepLearning models for automated protocoling of emergency brain #MRI scans based on clinical referral text https://doi.org/10.1148/ryai.230620 #ISBI2025 #imaging #AI #radiology

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Image from article in Radiology: Artificial Intelligence

Image from article in Radiology: Artificial Intelligence

Two #AI models showed strong performance for stand-alone cancer detection on screening mammograms https://doi.org/10.1148/ryai.240039 #ISBI2025 #imaging #AI #radiology

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Image from article in Radiology: Artificial Intelligence

Image from article in Radiology: Artificial Intelligence

The #BraTS-Africa Dataset is the first annotated publicly available brain imaging dataset from an #African population https://doi.org/10.1148/ryai.240528 #ISBI2025 #imaging #AI #radiology

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Image from article in Radiology: Artificial Intelligence

Image from article in Radiology: Artificial Intelligence

Comparative analysis of 8 lung cancer prediction models https://doi.org/10.1148/ryai.230506 #ISBI2025 #imaging #AI #radiology

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Image from article in Radiology: Artificial Intelligence

Image from article in Radiology: Artificial Intelligence

Skellytour achieved consistent bone segmentation performance on internal and external datasets https://doi.org/10.1148/ryai.240050 #ISBI2025 #imaging #AI #radiology

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Image from article in Radiology: Artificial Intelligence

Image from article in Radiology: Artificial Intelligence

Physics-Informed #autoencoder provides accurate & explainable measurements of prostate tissue on #MRI https://doi.org/10.1148/ryai.240167 #ISBI2025 #imaging #AI #radiology

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Image from article in Radiology: Artificial Intelligence

Image from article in Radiology: Artificial Intelligence

CMRxRecon2024: protocol-diverse publicly available k-space dataset of cardiac #MRI, covering 6 modalities, 7 anatomic views, and 4 types of acquisition trajectories https://doi.org/10.1148/ryai.240443 #ISBI2025 #imaging #AI #radiology

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Image from article in Radiology: Artificial Intelligence

Image from article in Radiology: Artificial Intelligence

CXR-Lung-Risk model predicts respiratory disease mortality in Asian health screening population https://doi.org/10.1148/ryai.240628 #ISBI2025 #imaging #AI #radiology

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Image from article in Radiology: Artificial Intelligence

Image from article in Radiology: Artificial Intelligence

External Testing of a Commercial #AI Algorithm for Breast Cancer Detection at Screening Mammography https://doi.org/10.1148/ryai.240287 #ISBI2025 #imaging #AI #radiology

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Conference delegate standing by a pull up banner for ISBI 20205 saying Thank you to our Sponsors & Exhibitors.  Gold Sponsor The University of Texas MD Anderson Cancer Centre, Silver Sponsor United Imaging.  The meeting is part of the IEEE.  The hotel has a highly patterned carpet.

Conference delegate standing by a pull up banner for ISBI 20205 saying Thank you to our Sponsors & Exhibitors. Gold Sponsor The University of Texas MD Anderson Cancer Centre, Silver Sponsor United Imaging. The meeting is part of the IEEE. The hotel has a highly patterned carpet.

Close up picture of Injune Hwang's ISBI 2025 conference badge

Close up picture of Injune Hwang's ISBI 2025 conference badge

Group of ISBI attendees at dinner with Injune, from our group, closest to the window

Group of ISBI attendees at dinner with Injune, from our group, closest to the window

We are excited to be presenting our poster 'Dynamical Graphs Based Post-Processing of Point Clouds extracted from Knee Ultrasounds' in #Houston later this week. It looks like a great meeting #ISBI2025 ... @embs.org

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Image from article in Radiology: Artificial Intelligence

Image from article in Radiology: Artificial Intelligence

Skellytour: #MachineLearning model for bone segmentation using whole-body CT images https://doi.org/10.1148/ryai.240050 #ISBI2025 #imaging #AI #radiology

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Image from article in Radiology: Artificial Intelligence

Image from article in Radiology: Artificial Intelligence

Does network compression for segmentation CNNs using Tucker-decomposed layers really work? https://doi.org/10.1148/ryai.240353 @rsnasky.bsky.social #ISBI2025 #imaging #AI #radiology

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Image from article in Radiology: Artificial Intelligence

Image from article in Radiology: Artificial Intelligence

CMRxRecon2024 dataset addresses data accessibility and diversity issues in cardiac MRI https://doi.org/10.1148/ryai.240443 #ISBI2025 #imaging #AI #radiology

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Image from article in Radiology: Artificial Intelligence

Image from article in Radiology: Artificial Intelligence

Evaluating Physics-Informed Autoencoder, a self-supervised #DeepLearning model, for prostate cancer https://doi.org/10.1148/ryai.240167 #ISBI2025 #imaging #AI #radiology

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Image from article in Radiology: Artificial Intelligence

Image from article in Radiology: Artificial Intelligence

Predicting Respiratory Disease Mortality Risk Using Open-source AI on Chest Radiographs in an Asian Health Screening Population https://doi.org/10.1148/ryai.240628 #ISBI2025 #imaging #AI #radiology

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Image from article in Radiology: Artificial Intelligence

Image from article in Radiology: Artificial Intelligence

#NNFit reduces computational bottleneck of spectral #MRI quantification methods https://doi.org/10.1148/ryai.230579 @rsnasky.bsky.social #ISBI2025 #imaging #AI #radiology

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Image from article in Radiology: Artificial Intelligence

Image from article in Radiology: Artificial Intelligence

Unsupervised Deep Learning for Blood-Brain Barrier Leakage Detection in Diffuse Glioma Using Dynamic Contrast-enhanced MRI https://doi.org/10.1148/ryai.240507 #ISBI2025 #imaging #AI #radiology

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I will be giving a keynote talk tomorrow at #ISBI2025 tutorial session. Come and say hi if you are around!
📣Title: "When scanners speak different languages: Challenges and solutions for harmonizing medical data"
📍April 14, 8:30 AM – 12:00 PM, Arboretum 1–3 (F2)
sites.google.com/view/isbi202...

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[CHALLENGE] And the winners are... 🏆

We’re thrilled to reveal the top 3 winners:
🥇Marek Wodzinski
🥈Shengyan Xu
🥉Cyril Meyer

🔜 What’s next?
Dorian Kauffmann, our Challenge Project Engineer, will present the results at the #ISBI2025, joined by Marek Wodzinski!

👏 Congrats to all!

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April is almost here and so is the 2025 #IEEE International Symposium on #BiomedicalImaging! #ISBI2025 is among the premier events dedicated to #mathematical, #algorithmic, and computational advances in #biomedical #imaging. Come join us in #Houston, TX from 14-17 Apr: biomedicalimaging.org/2025

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