| 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 | 321 | 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 | 258 | 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 | 167 | 2019 |
| 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 | 164 | 2017 |
| 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 | 88 | 2016 |
| 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 | 86 | 2016 |
| 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 | 72 | 2015 |
| Unsupervised domain adaptation to classify medical images using zero-bias convolutional auto-encoders and context-based feature augmentation E Ahn, A Kumar, M Fulham, D Feng, J Kim IEEE transactions on medical imaging 39 (7), 2385-2394, 2020 | 44 | 2020 |
| X-ray image classification using domain transferred convolutional neural networks and local sparse spatial pyramid E Ahn, A Kumar, J Kim, C Li, D Feng, M Fulham 2016 IEEE 13th international symposium on biomedical imaging (ISBI), 855-858, 2016 | 43 | 2016 |
| Unsupervised deep transfer feature learning for medical image classification E Ahn, A Kumar, D Feng, M Fulham, J Kim 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019 …, 2019 | 38 | 2019 |
| Convolutional Sparse Kernel Network for Unsupervised Medical Image Analysis E Ahn, A Kumar, M Fulham, D Feng, J Kim Medical image analysis, 2019 | 36 | 2019 |
| 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 | 34 | 2017 |
| Unsupervised Feature Learning with K-means and An Ensemble of Deep Convolutional Neural Networks for Medical Image Classification E Ahn, A Kumar, D Feng, M Fulham, J Kim arXiv preprint arXiv:1906.03359, 2019 | 28 | 2019 |
| Automatic skin lesion analysis using large-scale dermoscopy images and deep residual networks. arXiv 2017 L Bi, J Kim, E Ahn, D Feng arXiv preprint arXiv:1703.04197, 0 | 25 | |
| Self-supervised Representation Learning Framework for Remote Physiological Measurement using Spatiotemporal Augmentation Loss H Wang, E Ahn, J Kim 36th AAAI Conference on Artificial Intelligence (AAAI-22), 2022 | 24 | 2022 |
| A Spatial Guided Self-supervised Clustering Network for Medical Image Segmentation E Ahn, D Feng, J Kim International Conference on Medical Image Computing and Computer Assisted …, 2021 | 24 | 2021 |
| A Spatiotemporal Volumetric Interpolation Network for 4D Dynamic Medical Image Y Guo, L Bi, E Ahn, D Feng, Q Wang, J Kim Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2020 | 23 | 2020 |
| A Review of Predictive and Contrastive Self-supervised Learning for Medical Images WC Wang, E Ahn, D Feng, J Kim Machine Intelligence Research 20, 483-513, 2023 | 12 | 2023 |
| Automated periodontitis bone loss diagnosis in panoramic radiographs using a bespoke two-stage detector Z Kong, H Ouyang, Y Cao, T Huang, E Ahn, M Zhang, H Liu Computers in Biology and Medicine 152, 106374, 2023 | 10 | 2023 |
| A mobile app and dashboard for early detection of infectious disease outbreaks: development study E Ahn, N Liu, T Parekh, R Patel, T Baldacchino, T Mullavey, A Robinson, ... JMIR Public Health and Surveillance 7 (3), e14837, 2021 | 7 | 2021 |
Jinman KimSchool of Computer Science, University of SydneyVerified email at sydney.edu.au
