Chen (Cherise) Chen
@cherise-chen.bsky.social
Lecturer in Computer Vision at University of Sheffield | Robust&Trustworthy AI for healthcare
https://cherise215.github.io/
https://cherise215.github.io/
Work done by my PhD student: Sijie Li, co-supervised with Prof. Jungong Han. @shefcmi.bsky.social
August 4, 2025 at 6:41 PM
Work done by my PhD student: Sijie Li, co-supervised with Prof. Jungong Han. @shefcmi.bsky.social
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
✅ Tested on BraTS 2018, UPMC Food-101, avMNIST
✅ Robust to missing inputs at Test time
✅ Better uncertainty & interpretability
📄 Preprint: arxiv.org/pdf/2507.19264
August 4, 2025 at 6:41 PM
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
✅ Tested on BraTS 2018, UPMC Food-101, avMNIST
✅ Robust to missing inputs at Test time
✅ Better uncertainty & interpretability
📄 Preprint: arxiv.org/pdf/2507.19264
Reposted by Chen (Cherise) Chen
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.
July 7, 2025 at 11:27 AM
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.
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!
Code: github.com/cherise215/L...
Paper: doi.org/10.1109/tbda...
All open access!
GitHub - cherise215/LLM-ECG-Dual-Attention
Contribute to cherise215/LLM-ECG-Dual-Attention development by creating an account on GitHub.
github.com
February 13, 2025 at 1:01 PM
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!
Code: github.com/cherise215/L...
Paper: doi.org/10.1109/tbda...
All open access!
🔹 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
✅ 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
February 13, 2025 at 1:01 PM
🔹 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
✅ 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
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.
February 13, 2025 at 1:01 PM
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.
Reposted by Chen (Cherise) Chen
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
The Prize is endowed with 2.5 million euros by the Deutsche Forschungsgemeinschaft (DFG) - German Research Foundation.
Congratulations!
@danielrueckert.bsky.social
📸 Juli Eberle
December 11, 2024 at 3:00 PM
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
The Prize is endowed with 2.5 million euros by the Deutsche Forschungsgemeinschaft (DFG) - German Research Foundation.
Congratulations!
@danielrueckert.bsky.social
📸 Juli Eberle
Reposted by Chen (Cherise) Chen
🚀 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
👉 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
November 26, 2024 at 9:29 AM
🚀 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
👉 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