iiinova — where your digital self keeps evolving

Chen (Cherise) Chen @cherise-chen.bsky.social · 04/08/2025

Work done by my PhD student: Sijie Li, co-supervised with Prof. Jungong Han. @shefcmi.bsky.social

Chen (Cherise) Chen @cherise-chen.bsky.social · 04/08/2025

New paper: SimMLM: A Simple Framework for Multi-modal Learning with #MissingModality, to be presented at @iccv.bsky.social 2025. ✅ Tested on BraTS 2018, UPMC Food-101, avMNIST ✅ Robust to missing inputs at Test time ✅ Better uncertainty & interpretability 📄 Preprint: arxiv.org/pdf/2507.19264

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Insigneo Institute for Healthcare Technology @insigneoinstitute.bsky.social · 07/07/2025

In particular, we'd like to thank our speakers: Prof Laoise Mcnamara, Dr Dawn Walker, Dr Xiancheng Yu, Prof John Rasmussen, Dr @elleneb.bsky.social‬, Prof Julia Weinstein, Dr Neil Stewart, Prof Gwendolen Reilly, @proflemaitre.bsky.social‬, Dr @cherise-chen.bsky.social‬ & Prof Robin Purshouse.

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Chen (Cherise) Chen @cherise-chen.bsky.social · 13/02/2025

Our approach makes AI-driven ECG analysis more reliable for real-world applications. Let's work on robust, interpretable AI for better human-AI collaboration in healthcare together! Code: github.com/cherise215/L... Paper: doi.org/10.1109/tbda... All open access!

github.com

GitHub - cherise215/LLM-ECG-Dual-Attention

Contribute to cherise215/LLM-ECG-Dual-Attention development by creating an account on GitHub.

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Chen (Cherise) Chen @cherise-chen.bsky.social · 13/02/2025

🔹 Key Insights: ✅ Robust Dual Attention Design with Explainability – Captures cross-lead interactions and local temporal dynamics, improving accuracy and clinical relevance! ✅ LLM-Informed Pretraining- Uses a LLM pre-trained on ECG reports to align text and waveform data, improving generalizability

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Chen (Cherise) Chen @cherise-chen.bsky.social · 13/02/2025

Can AI predict future heart failure risk using low-cost ECGs for global health? 🫀The challenge is: public datasets like UK Biobank have very few recorded HF events, making it hard for AI to learn meaningful patterns. We are excited to introduce our recently published multi-modal learning approach.

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Reposted by Chen (Cherise) Chen

Munich Center for Machine Learning @munichcenterml.bsky.social · 11/12/2024

MCML Director Prof. Daniel Rückert has been awarded the Gottfried Wilhelm Leibniz Prize 2025! The Prize is endowed with 2.5 million euros by the Deutsche Forschungsgemeinschaft (DFG) - German Research Foundation. Congratulations! @danielrueckert.bsky.social 📸 Juli Eberle

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Medical Imaging Deep Learning (MIDL) @midl-conference.bsky.social · 26/11/2024

🚀 Exciting news! #MIDL2025 paper call! Submit work on AI for diagnosis and prognosis, multimodal learning & more! 🩺📊 👉 Registration Deadline: Jan 17, 2025 👉 Full Paper Submission Deadline: Jan 24, 2025 👉 Short Paper Submission Deadline: April 11, 2025 🌐 Details:https://2025.midl.io/call-for-papers

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