Lei Bi
Lei Bi
School of Computer Science, the University of Sydney
Verified email at sydney.edu.au - Homepage
Title
Cited by
Cited by
Year
Dermoscopic image segmentation via multistage fully convolutional networks
L Bi, J Kim, E Ahn, A Kumar, M Fulham, D Feng
IEEE Transactions on Biomedical Engineering 64 (9), 2065-2074, 2017
1252017
Automatic skin lesion analysis using large-scale dermoscopy images and deep residual networks
L Bi, J Kim, E Ahn, D Feng
arXiv preprint arXiv:1703.04197, 2017
1192017
The liver tumor segmentation benchmark (lits)
P Bilic, PF Christ, E Vorontsov, G Chlebus, H Chen, Q Dou, CW Fu, X Han, ...
arXiv preprint arXiv:1901.04056, 2019
1022019
Saliency-based lesion segmentation via background detection in dermoscopic images
E Ahn, J Kim, L Bi, A Kumar, C Li, M Fulham, DD Feng
IEEE journal of biomedical and health informatics 21 (6), 1685-1693, 2017
782017
Synthesis of positron emission tomography (PET) images via multi-channel generative adversarial networks (GANs)
L Bi, J Kim, A Kumar, D Feng, M Fulham
molecular imaging, reconstruction and analysis of moving body organs, and …, 2017
502017
Automated skin lesion segmentation via image-wise supervised learning and multi-scale superpixel based cellular automata
L Bi, J Kim, E Ahn, D Feng, M Fulham
2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), 1059-1062, 2016
442016
Automated saliency-based lesion segmentation in dermoscopic images
E Ahn, L Bi, YH Jung, J Kim, C Li, M Fulham, DD Feng
2015 37th annual international conference of the IEEE engineering in …, 2015
392015
Step-wise integration of deep class-specific learning for dermoscopic image segmentation
L Bi, J Kim, E Ahn, A Kumar, D Feng, M Fulham
Pattern recognition 85, 78-89, 2019
372019
Automatic melanoma detection via multi-scale lesion-biased representation and joint reverse classification
L Bi, J Kim, E Ahn, D Feng, M Fulham
2016 IEEE 13th international symposium on biomedical imaging (ISBI), 1055-1058, 2016
342016
Automatic detection and classification of regions of FDG uptake in whole-body PET-CT lymphoma studies
L Bi, J Kim, A Kumar, L Wen, D Feng, M Fulham
Computerized Medical Imaging and Graphics 60, 3-10, 2017
312017
Automatic liver lesion detection using cascaded deep residual networks
L Bi, J Kim, A Kumar, D Feng
arXiv preprint arXiv:1704.02703, 2017
292017
Multi-stage thresholded region classification for whole-body PET-CT lymphoma studies
L Bi, J Kim, D Feng, M Fulham
International Conference on Medical Image Computing and Computer-Assisted …, 2014
262014
Cellular automata and anisotropic diffusion filter based interactive tumor segmentation for positron emission tomography
L Bi, J Kim, L Wen, A Kumar, M Fulham, DD Feng
2013 35th Annual International Conference of the IEEE Engineering in …, 2013
252013
Dual-path adversarial learning for fully convolutional network (FCN)-based medical image segmentation
L Bi, D Feng, J Kim
The Visual Computer 34 (6-8), 1043-1052, 2018
232018
Stacked fully convolutional networks with multi-channel learning: application to medical image segmentation
L Bi, J Kim, A Kumar, M Fulham, D Feng
The Visual Computer 33 (6-8), 1061-1071, 2017
222017
Automated and robust PERCIST-based thresholding framework for whole body PET-CT studies
L Bi, J Kim, L Wen, DD Feng
2012 Annual International Conference of the IEEE Engineering in Medicine and …, 2012
192012
Semi-automatic skin lesion segmentation via fully convolutional networks
L Bi, J Kim, E Ahn, D Feng, M Fulham
2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017 …, 2017
152017
A web-based medical multimedia visualisation interface for personal health records
M de Ridder, L Constantinescu, L Bi, YH Jung, A Kumar, J Kim, DD Feng, ...
Proceedings of the 26th IEEE International Symposium on Computer-Based …, 2013
132013
A locally constrained statistical shape model for robust nasal cavity segmentation in computed tomography
R Huang, A Li, L Bi, C Li, P Young, G King, DD Feng, J Kim
2016 IEEE 13th International symposium on biomedical imaging (ISBI), 1334-1337, 2016
102016
Designing user interfaces to enhance human interpretation of medical content-based image retrieval: application to PET-CT images
A Kumar, J Kim, L Bi, M Fulham, D Feng
International journal of computer assisted radiology and surgery 8 (6), 1003 …, 2013
82013
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Articles 1–20