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Jinman Kim
Jinman Kim
School of Computer Science, University of Sydney
Verified email at sydney.edu.au
Title
Cited by
Cited by
Year
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
3912016
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
2212017
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
2182013
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
2132014
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
1932017
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
1252011
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
1192017
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
1112019
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
1112017
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
1012016
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
982021
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
902017
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
842019
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
792016
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
722012
Automatic Liver Lesion Detection using Cascaded Deep Residual Networks
L Bi, J Kim, A Kumar, D Feng
arXiv preprint arXiv:1704.02703, 2017
692017
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
672016
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
632016
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
632006
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
602017
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