| 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 | 357 | 2019 |
| 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 | 219 | 2017 |
| 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 | 190 | 2017 |
| 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 | 116 | 2017 |
| 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 | 103 | 2017 |
| 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 | 101 | 2019 |
| Automatic liver lesion detection using cascaded deep residual networks L Bi, J Kim, A Kumar, D Feng arXiv preprint arXiv:1704.02703, 2017 | 65 | 2017 |
| 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 | 63 | 2016 |
| 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 | 61 | 2016 |
| 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 | 57 | 2017 |
| 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 | 55 | 2015 |
| Dual-path adversarial learning for fully convolutional network (FCN)-based medical image segmentation L Bi, D Feng, J Kim The Visual Computer 34 (6), 1043-1052, 2018 | 46 | 2018 |
| 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), 1061-1071, 2017 | 40 | 2017 |
| 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 | 29 | 2014 |
| Multi-label classification of multi-modality skin lesion via hyper-connected convolutional neural network L Bi, DD Feng, M Fulham, J Kim Pattern Recognition 107, 107502, 2020 | 28 | 2020 |
| 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 | 25 | 2013 |
| 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 | 21 | 2021 |
| 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 | 21 | 2017 |
| 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 | 19 | 2012 |
| Robust deep learning method for choroidal vessel segmentation on swept source optical coherence tomography images X Liu, L Bi, Y Xu, D Feng, J Kim, X Xu Biomedical Optics Express 10 (4), 1601-1612, 2019 | 17 | 2019 |
Jinman KimSchool of Computer Science, University of SydneyVerified email at sydney.edu.au
