Segui
Jinman Kim
Jinman Kim
School of Computer Science, University of Sydney
Email verificata su sydney.edu.au
Titolo
Citata da
Citata da
Anno
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
8922023
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
5212016
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
3152017
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
2792021
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
2622014
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
2522017
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
2472013
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
1872019
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
1662017
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
1622019
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
1612017
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
1392016
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
1352017
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
1332011
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
952021
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
912019
Automatic Liver Lesion Detection using Cascaded Deep Residual Networks
L Bi, J Kim, A Kumar, D Feng
arXiv preprint arXiv:1704.02703, 2017
912017
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
912016
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
872016
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
852016
Il sistema al momento non pu eseguire l'operazione. Riprova pi tardi.
Articoli 1–20