| 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 | 393 | 2016 |
| 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 | 222 | 2017 |
| 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 (6), 1025-1039, 2013 | 220 | 2013 |
| 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 | 213 | 2014 |
| 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 | 194 | 2017 |
| 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 | 125 | 2011 |
| 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 | 120 | 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 | 112 | 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 | 111 | 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 (17), 243-256, 2016 | 102 | 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 | 99 | 2021 |
| 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 | 91 | 2017 |
| 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 | 84 | 2019 |
| Transfer learning of a convolutional neural network for HEp-2 cell image classification HTH Phan, A Kumar, J Kim, D Feng 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), 1208-1211, 2016 | 79 | 2016 |
| SparkMed: A Framework for Dynamic Integration of Multimedia Medical Data Into Distributed m-Health Systems L Constantinescu, J Kim, D Feng Information Technology in Biomedicine, IEEE Transactions on 16 (1), 40-52, 2012 | 72 | 2012 |
| Automatic Liver Lesion Detection using Cascaded Deep Residual Networks L Bi, J Kim, A Kumar, D Feng arXiv preprint arXiv:1704.02703, 2017 | 71 | 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 | 67 | 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 | 64 | 2016 |
| A new way for multidimensional medical data management: volume of interest (VOI)-based retrieval of medical images with visual and functional features J Kim, W Cai, D Feng, H Wu Information Technology in Biomedicine, IEEE Transactions on 10 (3), 598-607, 2006 | 63 | 2006 |
| 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 | 60 | 2017 |
David Dagan FengThe University of SydneyEmail confirmado em sydney.edu.au
