| The liver tumor segmentation benchmark (lits) P Bilic, P Christ, HB Li, E Vorontsov, A Ben-Cohen, G Kaissis, A Szeskin, ... Medical Image Analysis 84, 102680, 2023 | 1404 | 2023 |
| An ensemble of fine-tuned convolutional neural networks for medical image classification A Kumar, J Kim, D Lyndon, M Fulham, D Feng IEEE journal of biomedical and health informatics 21 (1), 31-40, 2016 | 589 | 2016 |
| COVIDSenti: A large-scale benchmark Twitter data set for COVID-19 sentiment analysis U Naseem, I Razzak, M Khushi, PW Eklund, J Kim IEEE Transactions on Computational Social Systems 8 (4), 1003-1015, 2021 | 378 | 2021 |
| 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 | 363 | 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 | 290 | 2017 |
| An emerging model of maternity care: Smartphone, midwife, doctor? N Tripp, K Hainey, A Liu, A Poulton, M Peek, J Kim, R Nanan Women and Birth 27 (1), 64-67, 2014 | 287 | 2014 |
| Content-based medical image retrieval: a survey of applications to multidimensional and multimodality data A Kumar, J Kim, W Cai, M Fulham, D Feng Journal of digital imaging 26, 1025-1039, 2013 | 280 | 2013 |
| Co-learning feature fusion maps from PET-CT images of lung cancer A Kumar, M Fulham, D Feng, J Kim IEEE Transactions on Medical Imaging 39 (1), 204-217, 2019 | 224 | 2019 |
| 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 | 196 | 2019 |
| 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 | 191 | 2017 |
| The health digital twin to tackle cardiovascular disease—a review of an emerging interdisciplinary field G Coorey, GA Figtree, DF Fletcher, VJ Snelson, ST Vernon, D Winlaw, ... npj Digital Medicine 5 (1), 126, 2022 | 175 | 2022 |
| 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 | 174 | 2017 |
| Reversion correction and regularized random walk ranking for saliency detection Y Yuan, C Li, J Kim, W Cai, DD Feng IEEE transactions on image processing 27 (3), 1311-1322, 2017 | 165 | 2017 |
| DeepGene: an advanced cancer type classifier based on deep learning and somatic point mutations Y Yuan, Y Shi, C Li, J Kim, W Cai, Z Han, DD Feng BMC bioinformatics 17, 243-256, 2016 | 161 | 2016 |
| Robust statistical shape models for MRI bone segmentation in presence of small field of view J Schmid, J Kim, N Magnenat-Thalmann Medical Image Analysis 15 (1), 155-168, 2011 | 142 | 2011 |
| Cloud-Based Automated Clinical Decision Support System for Detection and Diagnosis of Lung Cancer in Chest CT A Masood, P Yang, B Sheng, H Li, P Li, J Qin, V Lanfranchi, J Kim, ... IEEE Journal of Translational Engineering in Health and Medicine 8, 1-13, 2019 | 129 | 2019 |
| 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 | 127 | 2021 |
| OFF-eNET: An optimally fused fully end-to-end network for automatic dense volumetric 3D intracranial blood vessels segmentation A Nazir, MN Cheema, B Sheng, H Li, P Li, P Yang, Y Jung, J Qin, J Kim, ... IEEE Transactions on Image Processing 29, 7192-7202, 2020 | 109 | 2020 |
| Automatic Liver Lesion Detection using Cascaded Deep Residual Networks L Bi, J Kim, A Kumar, D Feng arXiv preprint arXiv:1704.02703, 2017 | 105 | 2017 |
| 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 | 104 | 2020 |
David Dagan FengThe University of SydneyVerified email at sydney.edu.au