Lei Bi
Orcid: 0000-0001-9759-0200Affiliations:
- University of Sydney, NSW, Australia
According to our database1,
Lei Bi
authored at least 81 papers
between 2012 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Hybrid CNN-transformer network for interactive learning of challenging musculoskeletal images.
Comput. Methods Programs Biomed., January, 2024
Enhancing medical vision-language contrastive learning via inter-matching relation modelling.
CoRR, 2024
2023
A Shortened Model for Logan Reference Plot Implemented via the Self-Supervised Neural Network for Parametric PET Imaging.
IEEE Trans. Medical Imaging, October, 2023
Comput. Methods Programs Biomed., August, 2023
Unsupervised Landmark Detection-Based Spatiotemporal Motion Estimation for 4-D Dynamic Medical Images.
IEEE Trans. Cybern., June, 2023
CoRR, 2023
PET Synthesis via Self-supervised Adaptive Residual Estimation Generative Adversarial Network.
CoRR, 2023
CoRR, 2023
DeepMSS: Deep Multi-Modality Segmentation-to-Survival Learning for Survival Outcome Prediction from PET/CT Images.
CoRR, 2023
Non-iterative Coarse-to-Fine Transformer Networks for Joint Affine and Deformable Image Registration.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Merging-Diverging Hybrid Transformer Networks for Survival Prediction in Head and Neck Cancer.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
CG-3DSRGAN: A classification guided 3D generative adversarial network for image quality recovery from low-dose PET images.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
2022
Graph-Based Intercategory and Intermodality Network for Multilabel Classification and Melanoma Diagnosis of Skin Lesions in Dermoscopy and Clinical Images.
IEEE Trans. Medical Imaging, 2022
Improving Breast Tumor Segmentation in PET via Attentive Transformation Based Normalization.
IEEE J. Biomed. Health Informatics, 2022
DeepMTS: Deep Multi-Task Learning for Survival Prediction in Patients With Advanced Nasopharyngeal Carcinoma Using Pretreatment PET/CT.
IEEE J. Biomed. Health Informatics, 2022
An attention-enhanced cross-task network to analyse lung nodule attributes in CT images.
Pattern Recognit., 2022
NeuroImage, 2022
Medical Image Anal., 2022
CoRR, 2022
Automatic Tumor Segmentation via False Positive Reduction Network for Whole-Body Multi-Modal PET/CT Images.
CoRR, 2022
Deep multi-scale resemblance network for the sub-class differentiation of adrenal masses on computed tomography images.
Artif. Intell. Medicine, 2022
Radiomics-Enhanced Deep Multi-task Learning for Outcome Prediction in Head and Neck Cancer.
Proceedings of the Head and Neck Tumor Segmentation and Outcome Prediction, 2022
Non-iterative Coarse-to-Fine Registration Based on Single-Pass Deep Cumulative Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Brain Tumor Sequence Registration with Non-iterative Coarse-To-Fine Networks and Dual Deep Supervision.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2022
2021
Multimodal Spatial Attention Module for Targeting Multimodal PET-CT Lung Tumor Segmentation.
IEEE J. Biomed. Health Informatics, 2021
Neurocomputing, 2021
High-parallelism Inception-like Spiking Neural Networks for Unsupervised Feature Learning.
Neurocomputing, 2021
Unsupervised Landmark Detection Based Spatiotemporal Motion Estimation for 4D Dynamic Medical Images.
CoRR, 2021
Spatio-Temporal Dual-Stream Neural Network for Sequential Whole-Body PET Segmentation.
CoRR, 2021
Predicting Distant Metastases in Soft-Tissue Sarcomas from PET-CT scans using Constrained Hierarchical Multi-Modality Feature Learning.
CoRR, 2021
Prediction of 5-year Progression-Free Survival in Advanced Nasopharyngeal Carcinoma with Pretreatment PET/CT using Multi-Modality Deep Learning-based Radiomics.
CoRR, 2021
Attention-Enhanced Cross-Task Network for Analysing Multiple Attributes of Lung Nodules in CT.
CoRR, 2021
Comput. Methods Programs Biomed., 2021
Automatic left ventricular cavity segmentation via deep spatial sequential network in 4D computed tomography.
Comput. Medical Imaging Graph., 2021
Multi-task Deep Learning for Joint Tumor Segmentation and Outcome Prediction in Head and Neck Cancer.
Proceedings of the Head and Neck Tumor Segmentation and Outcome Prediction, 2021
Proceedings of the Advances in Computer Graphics, 2021
A Classification Network for Ocular Diseases Based on Structure Feature and Visual Attention.
Proceedings of the Advances in Computer Graphics, 2021
2020
Multi-Label classification of multi-modality skin lesion via hyper-connected convolutional neural network.
Pattern Recognit., 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the Machine Learning for Medical Image Reconstruction, 2020
Unsupervised Positron Emission Tomography Tumor Segmentation via GAN based Adversarial Auto-Encoder.
Proceedings of the 16th International Conference on Control, 2020
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
2019
Step-wise integration of deep class-specific learning for dermoscopic image segmentation.
Pattern Recognit., 2019
Automated Segmentation of the Optic Disk and Cup using Dual-Stage Fully Convolutional Networks.
CoRR, 2019
An automated segmentation framework for nasal computational fluid dynamics analysis in computed tomography.
Comput. Biol. Medicine, 2019
A direct volume rendering visualization approach for serial PET-CT scans that preserves anatomical consistency.
Int. J. Comput. Assist. Radiol. Surg., 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Deep multi-modality collaborative learning for distant metastases predication in PET-CT soft-tissue sarcoma studies.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
Proceedings of the Advances in Computer Graphics, 2019
Proceedings of the 32nd International Conference on Computer Animation and Social Agents, 2019
Proceedings of the 32nd International Conference on Computer Animation and Social Agents, 2019
2018
PhD thesis, 2018
Dual-Path Adversarial Learning for Fully Convolutional Network (FCN)-Based Medical Image Segmentation.
Vis. Comput., 2018
Improving Automatic Skin Lesion Segmentation using Adversarial Learning based Data Augmentation.
CoRR, 2018
2017
Stacked fully convolutional networks with multi-channel learning: application to medical image segmentation.
Vis. Comput., 2017
IEEE J. Biomed. Health Informatics, 2017
IEEE Trans. Biomed. Eng., 2017
Automatic Skin Lesion Analysis using Large-scale Dermoscopy Images and Deep Residual Networks.
CoRR, 2017
Automatic detection and classification of regions of FDG uptake in whole-body PET-CT lymphoma studies.
Comput. Medical Imaging Graph., 2017
Synthesis of Positron Emission Tomography (PET) Images via Multi-channel Generative Adversarial Networks (GANs).
Proceedings of the Molecular Imaging, Reconstruction and Analysis of Moving Body Organs, and Stroke Imaging and Treatment, 2017
Adrenal lesions detection on low-contrast CT images using fully convolutional networks with multi-scale integration.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
2016
A locally constrained statistical shape model for robust nasal cavity segmentation in computed tomography.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
Automated skin lesion segmentation via image-wise supervised learning and multi-scale superpixel based cellular automata.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
Automatic melanoma detection via multi-scale lesion-biased representation and joint reverse classification.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
2015
Automated thresholded region classification using a robust feature selection method for PET-CT.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
A Locally Constrained Random Walk Approach for Airway Segmentation of Low-Contrast Computed Tomography (CT) Image.
Proceedings of the 2015 International Conference on Digital Image Computing: Techniques and Applications, 2015
2014
Multi-stage Thresholded Region Classification for Whole-Body PET-CT Lymphoma Studies.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014
Classification of thresholded regions based on selective use of PET, CT and PET-CT image features.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014
2013
Designing user interfaces to enhance human interpretation of medical content-based image retrieval: application to PET-CT images.
Int. J. Comput. Assist. Radiol. Surg., 2013
Data processing and presentation for a personalised, image-driven medical graphical avatar.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013
Cellular automata and anisotropic diffusion filter based interactive tumor segmentation for positron emission tomography.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013
Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems, 2013
2012
Automated and Robust PERCIST-based Thresholding framework for whole body PET-CT studies.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012
Automatic Descending Aorta Segmentation in Whole-Body PET-CT Studies for PERCIST-Based Thresholding.
Proceedings of the 2012 International Conference on Digital Image Computing Techniques and Applications, 2012