Sitemap
A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
Pages
Posts
Future Blog Post
Published:
This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.
Blog Post number 4
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
Short description of portfolio item number 2
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.
Download Paper
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.
Download Paper
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.
Download Paper
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.
Download Paper
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.
Download Paper
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.
Download Paper
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.
Download Paper
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
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.