| 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, 2017 | 589 | 2017 |
| 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 |
| 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 | 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, 2020 | 224 | 2020 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 | 99 | 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 | 79 | 2017 |
| Decision Fusion-Based Fetal Ultrasound Image Plane Classification Using Convolutional Neural Networks P Sridar, A Kumar, A Quinton, R Nanan, J Kim, R Krishnakumar Ultrasound in medicine & biology 45 (5), 1259-1273, 2019 | 67 | 2019 |
| Adapting content-based image retrieval techniques for the semantic annotation of medical images A Kumar, S Dyer, J Kim, C Li, PHW Leong, M Fulham, D Feng Computerized Medical Imaging and Graphics 49, 37-45, 2016 | 63 | 2016 |
| 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 | 59 | 2020 |
| 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 | 56 | 2017 |
| Plane identification in fetal ultrasound images using saliency maps and convolutional neural networks A Kumar, P Sridar, A Quinton, RK Kumar, D Feng, R Nanan, J Kim 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), 791-794, 2016 | 54 | 2016 |
| A deep learning technique for imputing missing healthcare data S Phung, A Kumar, J Kim 2019 41st Annual International Conference of the IEEE Engineering in …, 2019 | 52 | 2019 |
| A graph-based approach for the retrieval of multi-modality medical images A Kumar, J Kim, L Wen, M Fulham, D Feng Medical image analysis 18 (2), 330-342, 2014 | 51 | 2014 |
| High-dimensional data visualization by interactive construction of low-dimensional parallel coordinate plots T Itoh, A Kumar, K Klein, J Kim Journal of Visual Languages & Computing 43, 1-13, 2017 | 49 | 2017 |
| 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 | 44 | 2019 |
Jinman KimSchool of Computer Science, University of SydneyZweryfikowany adres z sydney.edu.au
