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
2252016
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
1642013
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
1472014
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
1252017
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
1192017
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
1122011
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
782017
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
652012
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
542006
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
522017
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), 476, 2016
522016
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
522016
A multistage discriminative model for tumor and lymph node detection in thoracic images
Y Song, W Cai, J Kim, DD Feng
IEEE transactions on Medical Imaging 31 (5), 1061-1075, 2012
512012
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
502017
4 CONTENT-BASED MEDICAL IMAGE RETRIEVAL
TW Cai, J Kim, DD Feng
Biomedical Information Technology, Burlington: Academic Press, 2008
492008
Segmentation of VOI from multidimensional dynamic PET images by integrating spatial and temporal features
J Kim, W Cai, D Feng, S Eberl
Information Technology in Biomedicine, IEEE Transactions on 10 (4), 637-646, 2006
482006
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
442016
Real-time volume rendering visualization of dual-modality PET/CT images with interactive fuzzy thresholding segmentation
J Kim, W Cai, S Eberl, D Feng
Information Technology in Biomedicine, IEEE Transactions on 11 (2), 161-169, 2007
442007
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
392015
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
372019
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Articles 1–20