Jinman Kim

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David Dagan FengThe University of SydneyDirección de correo verificada de sydney.edu.au
Lei Bithe University of Sydney; Shanghai Jiao Tong UniversityDirección de correo verificada de sydney.edu.au
Michael FulhamRoyal Prince Alfred (RPA) Hospital and the University of SydneyDirección de correo verificada de sydney.edu.au
Ashnil KumarLead ML Engineer, Harrison.ai; Honorary Lecturer, Biomedical Engineering, Sydney UniDirección de correo verificada de sydney.edu.au
Euijoon AhnJames Cook UniversityDirección de correo verificada de jcu.edu.au
YOUNHYUN JUNGGachon UniversityDirección de correo verificada de gachon.ac.kr
Usman NaseemLecturer (Asst. Prof.) @Macquarie UniversityDirección de correo verificada de mq.edu.au
Mingyuan MengThe University of Sydney; Shanghai Jiao Tong UniversityDirección de correo verificada de uni.sydney.edu.au
Matloob KhushiBrunel University of London, University of Southampton, UKDirección de correo verificada de brunel.ac.uk
Ping LiThe Hong Kong Polytechnic UniversityDirección de correo verificada de polyu.edu.hk
Adam G. DunnUniversity of SydneyDirección de correo verificada de sydney.edu.au
Xiaohang FuThe University of SydneyDirección de correo verificada de uni.sydney.edu.au
Liviu ConstantinescuGarvan Institute of Medical ResearchDirección de correo verificada de it.usyd.edu.au
Kamal SudAssociate Professor of Medicine, University of SydneyDirección de correo verificada de health.nsw.gov.au
Nadia Magnenat Thalmann/ Nadia Th...University of GenevaDirección de correo verificada de miralab.ch
Na LiuSchool of Computer ScienceDirección de correo verificada de sydney.edu.au
Karsten KleinUniversity of Konstanz, GermanyDirección de correo verificada de uni-konstanz.de
Pradeeba SridarIndian Institute of Technology MadrasDirección de correo verificada de iitm.ac.in
Jerome SchmidGeneva School of Health Sciences (HEdS GE), University of Applied Sciences and Arts WesternDirección de correo verificada de hesge.ch
Yige PengUniversity of Sydney, Shanghai Jiao Tong UniversityDirección de correo verificada de uni.sydney.edu.au

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Jinman Kim

School of Computer Science, University of Sydney

Dirección de correo verificada de sydney.edu.au

Medical Visualisation Medical Image Segmentation Telehealth


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
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	1379	2023
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	594	2016
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	380	2021
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	357	2017
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	289	2014
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	285	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, 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 39 (1), 204-217, 2019	224	2019
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	192	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
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	171	2022
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	171	2017
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	163	2017
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	161	2016
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	143	2011
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	126	2019
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	123	2021
Automatic Liver Lesion Detection using Cascaded Deep Residual Networks L Bi, J Kim, A Kumar, D Feng arXiv preprint arXiv:1704.02703, 2017	107	2017
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	102	2020
Multi-Label classification of multi-modality skin lesion via hyper-connected convolutional neural network L Bi, DD Feng, M Fulham, J Kim Pattern Recognition 107, 107502, 2020	99	2020

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