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publications
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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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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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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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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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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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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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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talks
CARZero: Cross-Attention Alignment for Radiology Zero-Shot Classification
Published:
Presented a poster on CARZero, a cross-attention alignment framework for radiology zero-shot classification, at CVPR 2024 in Seattle, USA (Jun 16–22, 2024).
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
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Teaching experience 2
Workshop, University 1, Department, 2015
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