13 citations
- Siemens (Germany)DE4 papers
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- Universidade Estadual Paulista (Unesp)BR2 papers
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- Aalto UniversityFI1 paper
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- City St George's, University of LondonGB1 paper
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- Data:Lab Munich (Germany)DE1 paper
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cs.CV2025★ 4 cited
The MICCAI Federated Tumor Segmentation (FeTS) Challenge 2024: Efficient and Robust Aggregation Methods for Federated Learning
Akis Linardos, Sarthak Pati, Ujjwal Baid +25
We present the design and results of the MICCAI Federated Tumor Segmentation (FeTS) Challenge 2024, which focuses on federated learning (FL) for glioma sub-region segmentation in m…
cs.CV2025★ 6 cited
Med-VCD: Mitigating Hallucination for Medical Large Vision Language Models through Visual Contrastive Decoding
Zahra Mahdavi, Zahra Khodakaramimaghsoud, Hooman Khaloo +4
Large vision-language models (LVLMs) are now central to healthcare applications such as medical visual question answering and imaging report generation. Yet, these models remain vu…