Fengbei Liu
Fengbei Liu
Adresă de e-mail confirmată pe adelaide.edu.au
Citat de
Citat de
Perturbed and Strict Mean Teachers for Semi-supervised Semantic Segmentation
Y Liu, Y Tian, Y Chen, F Liu, V Belagiannis, G Carneiro
CVPR 2022, 2021
Constrained contrastive distribution learning for unsupervised anomaly detection and localisation in medical images
Y Tian, G Pang, F Liu, Y Chen, SH Shin, JW Verjans, R Singh, G Carneiro
MICCAI 2021, 128-140, 2021
ACPL: Anti-curriculum Pseudo-labelling for Semi-supervised Medical Image Classification
F Liu*, Y Tian*, Y Chen, Y Liu, V Belagiannis, G Carneiro
CVPR 2022, 2021
Pixel-wise Energy-biased Abstention Learning for Anomaly Segmentation on Complex Urban Driving Scenes
Y Tian, Y Liu, G Pang, F Liu, Y Chen, G Carneiro
ECCV-Oral 2022, 2021
Self-supervised Mean Teacher for Semi-supervised Chest X-ray Classification
F Liu, Y Tian, FR Cordeiro, V Belagiannis, I Reid, G Carneiro
MICCAI-MLMI 2021, 2021
Automatic segmentation of multiple structures in knee arthroscopy using deep learning
Y Jonmohamadi, Y Takeda, F Liu, F Sasazawa, G Maicas, R Crawford, ...
IEEE Access 8, 51853-51861, 2020
Unsupervised anomaly detection in medical images with a memory-augmented multi-level cross-attentional masked autoencoder
Y Tian, G Pang, Y Liu, C Wang, Y Chen, F Liu, R Singh, JW Verjans, ...
International Workshop on Machine Learning in Medical Imaging, 11-21, 2023
Self-supervised depth estimation to regularise semantic segmentation in knee arthroscopy
F Liu, Y Jonmohamadi, G Maicas, AK Pandey, G Carneiro
MICCAI 2020, 594-603, 2020
Self-supervised pseudo multi-class pre-training for unsupervised anomaly detection and segmentation in medical images
Y Tian*, F Liu*, G Pang, Y Chen, Y Liu, JW Verjans, R Singh, G Carneiro
Medical Image Analysis 90, 102930, 2023
Knowledge Distillation to Ensemble Global and Interpretable Prototype-Based Mammogram Classification Models
C Wang, Y Chen, Y Liu, Y Tian, F Liu, DJ McCarthy, M Elliott, H Frazer, ...
MICCAI 2022, 14-24, 2022
Contrastive Transformer-based Multiple Instance Learning for Weakly Supervised Polyp Frame Detection
Y Tian, G Pang, F Liu, Y Liu, C Wang, Y Chen, JW Verjans, G Carneiro
MICCAI 2022, 2022
NVUM: Non-Volatile Unbiased Memory for Robust Medical Image Classification
F Liu, Y Chen, Y Tian, Y Liu, C Wang, V Belagiannis, G Carneiro
MICCAI 2022, arXiv: 2103.04053, 2022
Multi-view Local Co-occurrence and Global Consistency Learning Improve Mammogram Classification Generalisation
Y Chen, H Wang, C Wang, Y Tian, F Liu, Y Liu, M Elliott, DJ McCarthy, ...
MICCAI 2022, 3-13, 2022
3D Semantic Mapping from Arthroscopy using Out-of-distribution Pose and Depth and In-distribution Segmentation Training
Y Jonmohamadi, S Ali, F Liu, J Roberts, R Crawford, G Carneiro, ...
MICCAI 2021, 2021
Translation consistent semi-supervised segmentation for 3d medical images
Y Liu, Y Tian, C Wang, Y Chen, F Liu, V Belagiannis, G Carneiro
arXiv preprint arXiv:2203.14523, 2022
BoMD: Bag of Multi-label Descriptors for Noisy Chest X-ray Classification
Y Chen*, F Liu*, H Wang, C Wang, Y Tian, Y Liu, G Carneiro
ICCV 2023, arXiv preprint arXiv:2203.01937, 2022
Learning Support and Trivial Prototypes for Interpretable Image Classification
C Wang, Y Liu, Y Chen, F Liu, Y Tian, DJ McCarthy, H Frazer, G Carneiro
ICCV 2023, arXiv preprint arXiv:2301.04011, 2023
An Interpretable and Accurate Deep-learning Diagnosis Framework Modelled with Fully and Semi-supervised Reciprocal Learning
C Wang, Y Chen, F Liu, M Elliott, CF Kwok, C Peña-Solorzano, H Frazer, ...
IEEE Transactions on Medical Imaging, 2023
A Closer Look at Audio-Visual Semantic Segmentation
Y Chen, Y Liu, H Wang, F Liu, C Wang, G Carneiro
arXiv e-prints, arXiv: 2304.02970, 2023
BRAIxDet: Learning to Detect Malignant Breast Lesion with Incomplete Annotations
Y Chen, Y Liu, C Wang, M Elliott, CF Kwok, Y Tian, F Liu, H Frazer, ...
arXiv preprint arXiv:2301.13418, 2023
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