Suivre
Jinman Kim
Jinman Kim
School of Computer Science, University of Sydney
Adresse e-mail validée de sydney.edu.au
Titre
Citée par
Citée par
Année
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
13582023
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
5932016
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
3812021
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
3562017
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
2852017
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
2852014
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
2802013
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
2242019
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
1912019
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
1892017
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
1712017
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
1672022
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
1632017
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
1602016
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
1432011
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
1252019
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
1232021
Automatic Liver Lesion Detection using Cascaded Deep Residual Networks
L Bi, J Kim, A Kumar, D Feng
arXiv preprint arXiv:1704.02703, 2017
1072017
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
1012020
Telehealth for Noncritical Patients With Chronic Diseases During the COVID-19 Pandemic
N Liu, R Huang, T Baldacchino, A Sud, K Sud, M Khadra, J Kim
Journal of Medical Internet Research 22 (8), e19493, 2020
992020
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