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Xiaohang Fu
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Fully automatic left atrium segmentation from late gadolinium enhanced magnetic resonance imaging using a dual fully convolutional neural network
Z Xiong, VV Fedorov, X Fu, E Cheng, R Macleod, J Zhao
IEEE transactions on medical imaging 38 (2), 515-524, 2018
1292018
Multimodal spatial attention module for targeting multimodal PET-CT lung tumor segmentation
X Fu, L Bi, A Kumar, M Fulham, J Kim
IEEE Journal of Biomedical and Health Informatics 25 (9), 3507-3516, 2021
972021
Segmentation of histological images and fibrosis identification with a convolutional neural network
X Fu, T Liu, Z Xiong, BH Smaill, MK Stiles, J Zhao
Computers in biology and medicine 98, 147-158, 2018
442018
An attention-enhanced cross-task network to analyse lung nodule attributes in CT images
X Fu, L Bi, A Kumar, M Fulham, J Kim
Pattern Recognition 126, 108576, 2022
252022
Graph-based intercategory and intermodality network for multilabel classification and melanoma diagnosis of skin lesions in dermoscopy and clinical images
X Fu, L Bi, A Kumar, M Fulham, J Kim
IEEE Transactions on Medical Imaging 41 (11), 3266-3277, 2022
92022
Deep multimodal graph-based network for survival prediction from highly multiplexed images and patient variables
X Fu, E Patrick, JYH Yang, DD Feng, J Kim
Computers in Biology and Medicine 154, 106576, 2023
52023
Hyper-connected transformer network for co-learning multi-modality pet-ct features
L Bi, X Fu, Q Liu, S Song, DD Feng, M Fulham, J Kim
arXiv, 2022
22022
Attention-enhanced cross-task network for analysing multiple attributes of lung nodules in ct
X Fu, L Bi, A Kumar, M Fulham, J Kim
arXiv preprint arXiv:2103.03931, 2021
22021
Hybrid CNN-transformer network for interactive learning of challenging musculoskeletal images
L Bi, U Buehner, X Fu, T Williamson, P Choong, J Kim
Computer Methods and Programs in Biomedicine 243, 107875, 2024
12024
CT-based radiogenomics framework for COVID-19 using ACE2 imaging representations
T Xia, X Fu, M Fulham, Y Wang, D Feng, J Kim
Journal of Digital Imaging 36 (6), 2356-2366, 2023
12023
BIDCell: Biologically-informed self-supervised learning for segmentation of subcellular spatial transcriptomics data
X Fu, Y Lin, DM Lin, D Mechtersheimer, C Wang, F Ameen, S Ghazanfar, ...
Nature Communications 15 (1), 509, 2024
2024
Benchmarking the translational potential of spatial gene expression prediction from histology
AS Chan, C Wang, X Fu, S Ghazanfar, J Kim, E Patrick, JYH Yang
bioRxiv, 2023.12. 12.571251, 2023
2023
Machine Learning Methods for Multimodal and Multilabel Biomedical Image Analysis
X Fu
University of Sydney, 2023
2023
Biologically-informed self-supervised learning for segmentation of subcellular spatial transcriptomics data
X Fu, Y Lin, D Lin, D Mechtersheimer, C Wang, F Ameen, S Ghazanfar, ...
bioRxiv, 2023.06. 13.544733, 2023
2023
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