Publications

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Journal Articles

Bridged Semantic Alignment for Zero-shot 3D Medical Image Diagnosis

Published in IEEE Journal of Biomedical and Health Informatics, 2025

Proposes explicit and implicit alignment strategies to address limited 3D CT-report data, achieving SOTA zero-shot performance on 3D CT diagnosis and image-text retrieval benchmarks.

Recommended citation: Haoran Lai, et al. "Bridged Semantic Alignment for Zero-shot 3D Medical Image Diagnosis." IEEE Journal of Biomedical and Health Informatics, 2025.
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Semi-supervised hybrid spine network for segmentation of spine MR images

Published in Computerized Medical Imaging and Graphics, 2023

A semi-supervised hybrid network for spine MR image segmentation, combining labeled and unlabeled data for robust performance.

Recommended citation: et al. "Semi-supervised hybrid spine network for segmentation of spine MR images." Computerized Medical Imaging and Graphics, 2023.
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2D-3D Cascade Network for Glioma Segmentation in Multisequence MRI Images Using Multiscale Information

Published in Computer Methods and Programs in Biomedicine, 2022

A 2D-3D cascade network leveraging multiscale information for accurate glioma segmentation from multisequence MRI images.

Recommended citation: Haoran Lai*, et al. "2D-3D Cascade Network for Glioma Segmentation in Multisequence MRI Images Using Multiscale Information." Computer Methods and Programs in Biomedicine, 2022.
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Prior Knowledge-Aware Fusion Network for Prediction of Macrovascular Invasion in Hepatocellular Carcinoma

Published in IEEE Transactions on Medical Imaging, 2022

Proposes a multimodal model integrating liver CT imaging and clinical indicators with word vector encoding for clinical features, achieving high-accuracy early prediction of macrovascular invasion in hepatocellular carcinoma.

Recommended citation: Haoran Lai, et al. "Prior Knowledge-Aware Fusion Network for Prediction of Macrovascular Invasion in Hepatocellular Carcinoma." IEEE Transactions on Medical Imaging, 2022.
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Multi-task Deep Learning Network to Predict Future Macrovascular Invasion in Hepatocellular Carcinoma

Published in EClinicalMedicine, 2021

A multi-task deep learning framework for predicting future macrovascular invasion in HCC using CT imaging, integrating graph convolutional networks for tumor boundary feature extraction and global liver structure information.

Recommended citation: Haoran Lai*, et al. "Multi-task Deep Learning Network to Predict Future Macrovascular Invasion in Hepatocellular Carcinoma." EClinicalMedicine, 2021.
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Conference Papers

CARZero: Cross-Attention Alignment for Radiology Zero-Shot Classification

Published in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2024), 2024

We propose CARZero, a cross-attention based image-text alignment method for radiology zero-shot classification, replacing manually designed metrics like cosine similarity with a learnable alignment strategy. Achieves SOTA on chest X-ray zero-shot diagnosis and detection tasks.

Recommended citation: Haoran Lai, et al. "CARZero: Cross-Attention Alignment for Radiology Zero-Shot Classification." CVPR 2024.
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Long-Tailed Multi-Label Classification with Noisy Label of Thoracic Diseases from Chest X-Ray

Published in IEEE International Symposium on Biomedical Imaging (ISBI 2024), 2024

Addresses long-tailed distribution and noisy label challenges for multi-label thoracic disease classification from chest X-ray images.

Recommended citation: Haoran Lai, et al. "Long-Tailed Multi-Label Classification with Noisy Label of Thoracic Diseases from Chest X-Ray." ISBI 2024.
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