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Wenjia Bai

Biomedical Image Analysis Group, Department of Computing, Imperial College London

Towards Universal Learning-based Model for Cardiac Image Reconstruction: Summary of the CMRxRecon2024 Challenge

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Mar 05, 2025
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Enhancing Abnormality Grounding for Vision Language Models with Knowledge Descriptions

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Mar 05, 2025
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Knowledge-enhanced Multimodal ECG Representation Learning with Arbitrary-Lead Inputs

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Feb 25, 2025
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SegHeD: Segmentation of Heterogeneous Data for Multiple Sclerosis Lesions with Anatomical Constraints

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Oct 02, 2024
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A Personalised 3D+t Mesh Generative Model for Unveiling Normal Heart Dynamics

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Sep 20, 2024
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Quantifying the Impact of Population Shift Across Age and Sex for Abdominal Organ Segmentation

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Aug 08, 2024
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TIP: Tabular-Image Pre-training for Multimodal Classification with Incomplete Data

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Jul 10, 2024
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CMRxRecon2024: A Multi-Modality, Multi-View K-Space Dataset Boosting Universal Machine Learning for Accelerated Cardiac MRI

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Jun 27, 2024
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A Foundation Model for Brain Lesion Segmentation with Mixture of Modality Experts

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May 16, 2024
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The state-of-the-art in Cardiac MRI Reconstruction: Results of the CMRxRecon Challenge in MICCAI 2023

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Apr 01, 2024
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