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Jinman Kim
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- affiliation: University of Sydney, School of Computer Science, Sydney, Australia
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2020 – today
- 2023
- [j93]Xiaohang Fu
, Ellis Patrick
, Jean Y. H. Yang
, David Dagan Feng, Jinman Kim
:
Deep multimodal graph-based network for survival prediction from highly multiplexed images and patient variables. Comput. Biol. Medicine 154: 106576 (2023) - [j92]Lei Bi, M. Emre Celebi, Hitoshi Iyatomi, Pablo Fernandez-Penas, Jinman Kim:
Image analysis in advanced skin imaging technology. Comput. Methods Programs Biomed. 238: 107599 (2023) - [j91]Wei-Chien Wang
, Euijoon Ahn
, David Feng
, Jinman Kim
:
A Review of Predictive and Contrastive Self-supervised Learning for Medical Images. Mach. Intell. Res. 20(4): 483-513 (2023) - [j90]Yannik Kalbas
, Hoijoon Jung, John Ricklin, Ge Jin, Mingjian Li, Thomas Rauer
, Shervin Dehghani
, Nassir Navab, Jinman Kim, Hans-Christoph Pape
, Sandro-Michael Heining
:
Remote Interactive Surgery Platform (RISP): Proof of Concept for an Augmented-Reality-Based Platform for Surgical Telementoring. J. Imaging 9(3): 56 (2023) - [j89]Jinman Kim, George Papagiannakis, Bin Sheng, Daniel Thalmann:
Editorial. Comput. Animat. Virtual Worlds 34(1) (2023) - [j88]Usman Naseem
, Jinman Kim
, Matloob Khushi
, Adam G. Dunn
:
Robust Identification of Figurative Language in Personal Health Mentions on Twitter. IEEE Trans. Artif. Intell. 4(2): 362-372 (2023) - [j87]Yuyu Guo
, Lei Bi
, Dongming Wei
, Liyun Chen, Zhengbin Zhu, Dagan Feng
, Ruiyan Zhang, Qian Wang
, Jinman Kim
:
Unsupervised Landmark Detection-Based Spatiotemporal Motion Estimation for 4-D Dynamic Medical Images. IEEE Trans. Cybern. 53(6): 3532-3545 (2023) - [j86]Usman Naseem
, Matloob Khushi
, Jinman Kim
:
Vision-Language Transformer for Interpretable Pathology Visual Question Answering. IEEE J. Biomed. Health Informatics 27(4): 1681-1690 (2023) - [j85]Abdulrhman H. Al-Jebrni
, Saba Ghazanfar Ali, Huating Li, Xiao Lin, Ping Li, Younhyun Jung, Jinman Kim, David Dagan Feng, Bin Sheng, Lixin Jiang, Jing Du:
SThy-Net: a feature fusion-enhanced dense-branched modules network for small thyroid nodule classification from ultrasound images. Vis. Comput. 39(8): 3675-3689 (2023) - [c94]Ye Cai, Na Liu, Robin Huang, Kamal Sud, Jinman Kim:
Predicting Remote Monitoring Patients' Non-compliance Behavior Through App-mediated Communications. HICSS 2023: 3101-3110 - [c93]Usman Naseem
, Jinman Kim
, Matloob Khushi
, Adam G. Dunn
:
A Multimodal Framework for the Identification of Vaccine Critical Memes on Twitter. WSDM 2023: 706-714 - [c92]Usman Naseem
, Jinman Kim
, Matloob Khushi
, Adam G. Dunn
:
Graph-Based Hierarchical Attention Network for Suicide Risk Detection on Social Media. WWW (Companion Volume) 2023: 995-1003 - [i45]Wei-Chien Wang, Euijoon Ahn, Dagan Feng, Jinman Kim:
A Review of Predictive and Contrastive Self-supervised Learning for Medical Images. CoRR abs/2302.05043 (2023) - [i44]Hao Wang, Euijoon Ahn, Jinman Kim:
A Dual-branch Self-supervised Representation Learning Framework for Tumour Segmentation in Whole Slide Images. CoRR abs/2303.11019 (2023) - [i43]Yuxin Xue, Yige Peng, Lei Bi, Dagan Feng, Jinman Kim:
CG-3DSRGAN: A classification guided 3D generative adversarial network for image quality recovery from low-dose PET images. CoRR abs/2304.00725 (2023) - [i42]Mingyuan Meng, Bingxin Gu, Michael J. Fulham, Shaoli Song, Dagan Feng, Lei Bi, Jinman Kim:
DeepMSS: Deep Multi-Modality Segmentation-to-Survival Learning for Survival Outcome Prediction from PET/CT Images. CoRR abs/2305.09946 (2023) - [i41]Mingyuan Meng, Lei Bi, Michael J. Fulham, Dagan Feng, Jinman Kim:
Non-iterative Coarse-to-fine Transformer Networks for Joint Affine and Deformable Image Registration. CoRR abs/2307.03421 (2023) - [i40]Mingyuan Meng, Lei Bi, Michael J. Fulham, Dagan Feng, Jinman Kim:
Merging-Diverging Hybrid Transformer Networks for Survival Prediction in Head and Neck Cancer. CoRR abs/2307.03427 (2023) - [i39]Mingyuan Meng, Michael J. Fulham, Dagan Feng, Lei Bi, Jinman Kim:
AutoFuse: Automatic Fusion Networks for Deformable Medical Image Registration. CoRR abs/2309.05271 (2023) - 2022
- [j84]Lei Bi, Jinman Kim, Tingwei Su, Michael J. Fulham
, David Dagan Feng, Guang Ning:
Deep multi-scale resemblance network for the sub-class differentiation of adrenal masses on computed tomography images. Artif. Intell. Medicine 132: 102374 (2022) - [j83]Usman Naseem, Adam G. Dunn, Matloob Khushi
, Jinman Kim:
Benchmarking for biomedical natural language processing tasks with a domain specific ALBERT. BMC Bioinform. 23(1): 144 (2022) - [j82]Joyce Zhanzi Wang
, Jonathon Lillia, Ashnil Kumar, Paula Bray, Jinman Kim, Joshua Burns, Tegan L. Cheng:
Clinical applications of machine learning in predicting 3D shapes of the human body: a systematic review. BMC Bioinform. 23(1): 431 (2022) - [j81]Saba Ghazanfar Ali, Riaz Ali, Bin Sheng, Yan Chen, Huating Li, Po Yang, Ping Li, Younhyun Jung, Fang Zhu, Ping Lu, Jinman Kim:
Experimental protocol designed to employ Nd: YAG laser surgery for anterior chamber glaucoma detection via UBM. IET Image Process. 16(8): 2171-2179 (2022) - [j80]Jinman Kim, George Papagiannakis, Bin Sheng, Daniel Thalmann:
Special issue on computer graphics international 2022 part 1. Comput. Animat. Virtual Worlds 33(5) (2022) - [j79]Jinman Kim, George Papagiannakis, Bin Sheng, Daniel Thalmann:
Editorial. Comput. Animat. Virtual Worlds 33(6) (2022) - [j78]Lei Bi, Michael J. Fulham
, Jinman Kim:
Hyper-fusion network for semi-automatic segmentation of skin lesions. Medical Image Anal. 76: 102334 (2022) - [j77]Mingyuan Meng
, Lei Bi
, Michael J. Fulham
, David Dagan Feng, Jinman Kim
:
Enhancing medical image registration via appearance adjustment networks. NeuroImage 259: 119444 (2022) - [j76]Genevieve Coorey
, Gemma A. Figtree, David F. Fletcher
, Victoria J. Snelson
, Stephen T. Vernon, David Winlaw
, Stuart M. Grieve
, Alistair Lee McEwan
, Jean Yee Hwa Yang
, Pierre Qian, Kieran O'Brien, Jessica Orchard
, Jinman Kim, Sanjay Patel, Julie Redfern
:
The health digital twin to tackle cardiovascular disease - a review of an emerging interdisciplinary field. npj Digit. Medicine 5 (2022) - [j75]Ke Yan
, Xiuying Wang
, Jinman Kim
, Wangmeng Zuo
, Dagan Feng
:
Deep Cognitive Gate: Resembling Human Cognition for Saliency Detection. IEEE Trans. Pattern Anal. Mach. Intell. 44(9): 4776-4792 (2022) - [j74]Xiaohang Fu
, Lei Bi, Ashnil Kumar, Michael J. Fulham
, Jinman Kim:
An attention-enhanced cross-task network to analyse lung nodule attributes in CT images. Pattern Recognit. 126: 108576 (2022) - [j73]Anam Nazir, Muhammad Nadeem Cheema
, Bin Sheng
, Ping Li
, Huating Li, Guangtao Xue
, Jing Qin
, Jinman Kim
, David Dagan Feng
:
ECSU-Net: An Embedded Clustering Sliced U-Net Coupled With Fusing Strategy for Efficient Intervertebral Disc Segmentation and Classification. IEEE Trans. Image Process. 31: 880-893 (2022) - [j72]Xiaoya Qiao
, Chunjuan Jiang, Panli Li, Yuan Yuan
, Qinglong Zeng, Lei Bi
, Shaoli Song
, Jinman Kim
, David Dagan Feng
, Qiu Huang
:
Improving Breast Tumor Segmentation in PET via Attentive Transformation Based Normalization. IEEE J. Biomed. Health Informatics 26(7): 3261-3271 (2022) - [j71]Mingyuan Meng
, Bingxin Gu
, Lei Bi
, Shaoli Song, David Dagan Feng
, Jinman Kim
:
DeepMTS: Deep Multi-Task Learning for Survival Prediction in Patients With Advanced Nasopharyngeal Carcinoma Using Pretreatment PET/CT. IEEE J. Biomed. Health Informatics 26(9): 4497-4507 (2022) - [j70]Xiaohang Fu
, Lei Bi
, Ashnil Kumar
, Michael J. Fulham
, Jinman Kim
:
Graph-Based Intercategory and Intermodality Network for Multilabel Classification and Melanoma Diagnosis of Skin Lesions in Dermoscopy and Clinical Images. IEEE Trans. Medical Imaging 41(11): 3266-3277 (2022) - [j69]Sofiane Zeghoud, Saba Ghazanfar Ali, Egemen Ertugrul, Aouaidjia Kamel, Bin Sheng
, Ping Li
, Xiaoyu Chi, Jinman Kim, Lijuan Mao:
Real-time spatial normalization for dynamic gesture classification. Vis. Comput. 38(4): 1345-1357 (2022) - [j68]Nadia Magnenat-Thalmann, Jinman Kim, George Papagiannakis, Daniel Thalmann, Bin Sheng:
Computer graphics for metaverse. Virtual Real. Intell. Hardw. 4(5): ii-iv (2022) - [c91]Hao Wang
, Euijoon Ahn
, Jinman Kim:
Self-Supervised Representation Learning Framework for Remote Physiological Measurement Using Spatiotemporal Augmentation Loss. AAAI 2022: 2431-2439 - [c90]Mingyuan Meng
, Lei Bi
, David Feng
, Jinman Kim
:
Brain Tumor Sequence Registration with Non-iterative Coarse-To-Fine Networks and Dual Deep Supervision. BrainLes@MICCAI 2022: 273-282 - [c89]Mingyuan Meng
, Lei Bi
, Dagan Feng
, Jinman Kim
:
Non-iterative Coarse-to-Fine Registration Based on Single-Pass Deep Cumulative Learning. MICCAI (6) 2022: 88-97 - [c88]Mingyuan Meng
, Lei Bi
, Dagan Feng
, Jinman Kim
:
Radiomics-Enhanced Deep Multi-task Learning for Outcome Prediction in Head and Neck Cancer. HECKTOR@MICCAI 2022: 135-143 - [c87]Hoijoon Jung, Younhyun Jung, Jinman Kim:
Understanding the Capabilities of the HoloLens 1 and 2 in a Mixed Reality Environment for Direct Volume Rendering with a Ray-casting Algorithm. VR Workshops 2022: 698-699 - [c86]Usman Naseem, Adam G. Dunn, Jinman Kim, Matloob Khushi:
Early Identification of Depression Severity Levels on Reddit Using Ordinal Classification. WWW 2022: 2563-2572 - [c85]Usman Naseem, Jinman Kim, Matloob Khushi, Adam G. Dunn:
Identification of Disease or Symptom terms in Reddit to Improve Health Mention Classification. WWW 2022: 2573-2581 - [e4]Nadia Magnenat-Thalmann
, Jian Zhang
, Jinman Kim
, George Papagiannakis, Bin Sheng, Daniel Thalmann, Marina L. Gavrilova
:
Advances in Computer Graphics - 39th Computer Graphics International Conference, CGI 2022, Virtual Event, September 12-16, 2022, Proceedings. Lecture Notes in Computer Science 13443, Springer 2022, ISBN 978-3-031-23472-9 [contents] - [i38]Hoijoon Jung, Younhyun Jung, Michael J. Fulham, Jinman Kim:
Mixed reality hologram slicer (mxdR-HS): a marker-less tangible user interface for interactive holographic volume visualization. CoRR abs/2201.10704 (2022) - [i37]Usman Naseem, Byoung-Chan Lee, Matloob Khushi, Jinman Kim, Adam G. Dunn:
Benchmarking for Public Health Surveillance tasks on Social Media with a Domain-Specific Pretrained Language Model. CoRR abs/2204.04521 (2022) - [i36]Mingyuan Meng, Lei Bi, Dagan Feng, Jinman Kim:
Non-iterative Coarse-to-fine Registration based on Single-pass Deep Cumulative Learning. CoRR abs/2206.12596 (2022) - [i35]Younhyun Jung, Jim Kong, Jinman Kim:
A Transfer Function Design Using A Knowledge Database based on Deep Image and Primitive Intensity Profile Features Retrieval. CoRR abs/2209.06421 (2022) - [i34]Yige Peng, Jinman Kim, Dagan Feng, Lei Bi:
Automatic Tumor Segmentation via False Positive Reduction Network for Whole-Body Multi-Modal PET/CT Images. CoRR abs/2209.07705 (2022) - [i33]Lei Bi, Xiaohang Fu, Qiufang Liu, Shaoli Song, David Dagan Feng, Michael J. Fulham, Jinman Kim:
Hyper-Connected Transformer Network for Co-Learning Multi-Modality PET-CT Features. CoRR abs/2210.15808 (2022) - [i32]Mingyuan Meng, Lei Bi, Dagan Feng, Jinman Kim:
Radiomics-enhanced Deep Multi-task Learning for Outcome Prediction in Head and Neck Cancer. CoRR abs/2211.05409 (2022) - [i31]Mingyuan Meng, Lei Bi, Dagan Feng, Jinman Kim:
Brain Tumor Sequence Registration with Non-iterative Coarse-to-fine Networks and Dual Deep Supervision. CoRR abs/2211.07876 (2022) - [i30]Yuan Yuan, Euijoon Ahn, Dagan Feng, Mohamed Khadra, Jinman Kim:
Z-SSMNet: A Zonal-aware Self-Supervised Mesh Network for Prostate Cancer Detection and Diagnosis in bpMRI. CoRR abs/2212.05808 (2022) - 2021
- [j67]Vishal Singh
, Pradeeba Sridar
, Jinman Kim
, Ralph Nanan, N. Poornima, Shanmuga Priya, G. Sameera Reddy, Sathyabama Chandrasekaran, Ramarathnam Krishna Kumar
:
Semantic Segmentation of Cerebellum in 2D Fetal Ultrasound Brain Images Using Convolutional Neural Networks. IEEE Access 9: 85864-85873 (2021) - [j66]Ruicong Zhang, Li Zhuo, Hui Zhang
, Yan Zhang, Jinman Kim, Hongxia Yin, Pengfei Zhao
, Zhenchang Wang:
Vestibule segmentation from CT images with integration of multiple deep feature fusion strategies. Comput. Medical Imaging Graph. 89: 101872 (2021) - [j65]Yuyu Guo
, Lei Bi, Zhengbin Zhu, David Dagan Feng, Ruiyan Zhang, Qian Wang, Jinman Kim:
Automatic left ventricular cavity segmentation via deep spatial sequential network in 4D computed tomography. Comput. Medical Imaging Graph. 91: 101952 (2021) - [j64]Lei Bi
, Michael J. Fulham
, Nan Li, Qiufang Liu, Shaoli Song, David Dagan Feng, Jinman Kim:
Recurrent feature fusion learning for multi-modality pet-ct tumor segmentation. Comput. Methods Programs Biomed. 203: 106043 (2021) - [j63]Mingyuan Meng
, Xingyu Yang, Lei Bi, Jinman Kim, Shanlin Xiao, Zhiyi Yu:
High-parallelism Inception-like Spiking Neural Networks for Unsupervised Feature Learning. Neurocomputing 441: 92-104 (2021) - [j62]Xinheng Wu, Lei Bi, Michael J. Fulham
, David Dagan Feng, Luping Zhou
, Jinman Kim:
Unsupervised brain tumor segmentation using a symmetric-driven adversarial network. Neurocomputing 455: 242-254 (2021) - [j61]Yu Zhou, Zhihua Chen, Bin Sheng
, Ping Li
, Jinman Kim, Enhua Wu:
AFF-Dehazing: Attention-based feature fusion network for low-light image Dehazing. Comput. Animat. Virtual Worlds 32(3-4) (2021) - [j60]Anam Nazir, Muhammad Nadeem Cheema
, Bin Sheng
, Ping Li
, Jinman Kim
, Tong-Yee Lee
:
Living Donor-Recipient Pair Matching for Liver Transplant via Ternary Tree Representation With Cascade Incremental Learning. IEEE Trans. Biomed. Eng. 68(8): 2540-2551 (2021) - [j59]Usman Naseem
, Imran Razzak
, Matloob Khushi
, Peter W. Eklund
, Jinman Kim
:
COVIDSenti: A Large-Scale Benchmark Twitter Data Set for COVID-19 Sentiment Analysis. IEEE Trans. Comput. Soc. Syst. 8(4): 1003-1015 (2021) - [j58]Ke Yan
, Xiuying Wang
, Jinman Kim
, Dagan Feng
:
A New Aggregation of DNN Sparse and Dense Labeling for Saliency Detection. IEEE Trans. Cybern. 51(12): 5907-5920 (2021) - [j57]Riaz Ali
, Bin Sheng
, Ping Li
, Yan Chen, Huating Li, Po Yang, Younhyun Jung, Jinman Kim
, C. L. Philip Chen
:
Optic Disk and Cup Segmentation Through Fuzzy Broad Learning System for Glaucoma Screening. IEEE Trans. Ind. Informatics 17(4): 2476-2487 (2021) - [j56]Muhammad Nadeem Cheema
, Anam Nazir
, Po Yang
, Bin Sheng
, Ping Li
, Huating Li, Xiaoer Wei, Jing Qin
, Jinman Kim
, David Dagan Feng
:
Modified GAN-CAED to Minimize Risk of Unintentional Liver Major Vessels Cutting by Controlled Segmentation Using CTA/SPET-CT. IEEE Trans. Ind. Informatics 17(12): 7991-8002 (2021) - [j55]Xiaohang Fu
, Lei Bi
, Ashnil Kumar
, Michael J. Fulham
, Jinman Kim
:
Multimodal Spatial Attention Module for Targeting Multimodal PET-CT Lung Tumor Segmentation. IEEE J. Biomed. Health Informatics 25(9): 3507-3516 (2021) - [j54]Aouaidjia Kamel
, Bin Sheng
, Ping Li
, Jinman Kim
, David Dagan Feng
:
Hybrid Refinement-Correction Heatmaps for Human Pose Estimation. IEEE Trans. Multim. 23: 1330-1342 (2021) - [j53]Aouaidjia Kamel
, Bin Sheng
, Ping Li
, Jinman Kim
, David Dagan Feng
:
Efficient Body Motion Quantification and Similarity Evaluation Using 3-D Joints Skeleton Coordinates. IEEE Trans. Syst. Man Cybern. Syst. 51(5): 2774-2788 (2021) - [c84]Yang Wen, Yupeng Xu, Bin Sheng, Ping Li
, Lei Bi, Jinman Kim, Xiangui He, Xun Xu:
Multi-Stream Fusion Network for Multi-Distortion Image Super-Resolution. CGI 2021: 242-251 - [c83]Yang Wen, Yupeng Xu, Kun Liu, Bin Sheng, Lei Bi, Jinman Kim, Xiangui He, Xun Xu:
A Classification Network for Ocular Diseases Based on Structure Feature and Visual Attention. CGI 2021: 354-361 - [c82]Jihong Wang, Zhen Li, Saba Ghazanfar Ali, Bin Sheng, Ping Li
, Xiaoyu Chi, Jinman Kim, Lijuan Mao:
Dynamic Shadow Synthesis Using Silhouette Edge Optimization. CGI 2021: 421-432 - [c81]Zimo Huang, Tian Xia, Jinman Kim, Lefei Zhang, Bo Li:
Combining CNN with Pathological Information for the Detection of Transmissive Lesions of Jawbones from CBCT Images. EMBC 2021: 2972-2975 - [c80]Usman Naseem, Matloob Khushi
, Jinman Kim, Adam G. Dunn:
Classifying vaccine sentiment tweets by modelling domain-specific representation and commonsense knowledge into context-aware attentive GRU. IJCNN 2021: 1-8 - [c79]Usman Naseem, Matloob Khushi
, Vinay Reddy, Sakthivel Rajendran, Imran Razzak
, Jinman Kim:
BioALBERT: A Simple and Effective Pre-trained Language Model for Biomedical Named Entity Recognition. IJCNN 2021: 1-7 - [c78]Mingyuan Meng
, Yige Peng
, Lei Bi
, Jinman Kim
:
Multi-task Deep Learning for Joint Tumor Segmentation and Outcome Prediction in Head and Neck Cancer. HECKTOR@MICCAI 2021: 160-167 - [c77]Euijoon Ahn
, Dagan Feng, Jinman Kim:
A Spatial Guided Self-supervised Clustering Network for Medical Image Segmentation. MICCAI (1) 2021: 379-388 - [e3]Nadia Magnenat-Thalmann, Victoria Interrante
, Daniel Thalmann, George Papagiannakis, Bin Sheng, Jinman Kim, Marina L. Gavrilova:
Advances in Computer Graphics - 38th Computer Graphics International Conference, CGI 2021, Virtual Event, September 6-10, 2021, Proceedings. Lecture Notes in Computer Science 13002, Springer 2021, ISBN 978-3-030-89028-5 [contents] - [i29]Xiaohang Fu, Lei Bi, Ashnil Kumar, Michael J. Fulham, Jinman Kim:
Attention-Enhanced Cross-Task Network for Analysing Multiple Attributes of Lung Nodules in CT. CoRR abs/2103.03931 (2021) - [i28]Mingyuan Meng, Lei Bi, Michael J. Fulham, David Dagan Feng, Jinman Kim:
Enhancing Medical Image Registration via Appearance Adjustment Networks. CoRR abs/2103.05213 (2021) - [i27]Bingxin Gu, Mingyuan Meng, Lei Bi, Jinman Kim, David Dagan Feng, Shaoli Song:
Prediction of 5-year Progression-Free Survival in Advanced Nasopharyngeal Carcinoma with Pretreatment PET/CT using Multi-Modality Deep Learning-based Radiomics. CoRR abs/2103.05220 (2021) - [i26]Xiaohang Fu, Lei Bi, Ashnil Kumar, Michael J. Fulham, Jinman Kim:
Graph-Based Intercategory and Intermodality Network for Multilabel Classification and Melanoma Diagnosis of Skin Lesions in Dermoscopy and Clinical Images. CoRR abs/2104.00201 (2021) - [i25]Yige Peng, Lei Bi, Ashnil Kumar, Michael J. Fulham, Dagan Feng, Jinman Kim:
Predicting Distant Metastases in Soft-Tissue Sarcomas from PET-CT scans using Constrained Hierarchical Multi-Modality Feature Learning. CoRR abs/2104.11416 (2021) - [i24]Kai-Chieh Liang, Lei Bi, Ashnil Kumar, Michael J. Fulham, Jinman Kim:
Spatio-Temporal Dual-Stream Neural Network for Sequential Whole-Body PET Segmentation. CoRR abs/2106.04961 (2021) - [i23]Usman Naseem, Matloob Khushi, Jinman Kim, Adam G. Dunn:
Classifying vaccine sentiment tweets by modelling domain-specific representation and commonsense knowledge into context-aware attentive GRU. CoRR abs/2106.09589 (2021) - [i22]Usman Naseem, Adam G. Dunn, Matloob Khushi, Jinman Kim:
Benchmarking for Biomedical Natural Language Processing Tasks with a Domain Specific ALBERT. CoRR abs/2107.04374 (2021) - [i21]Euijoon Ahn, Dagan Feng, Jinman Kim:
A Spatial Guided Self-supervised Clustering Network for Medical Image Segmentation. CoRR abs/2107.04934 (2021) - [i20]Hao Wang, Euijoon Ahn, Jinman Kim:
Self-Supervised Learning Framework for Remote Heart Rate Estimation Using Spatiotemporal Augmentation. CoRR abs/2107.07695 (2021) - [i19]Mingyuan Meng, Bingxin Gu, Lei Bi, Shaoli Song, David Dagan Feng, Jinman Kim:
DeepMTS: Deep Multi-task Learning for Survival Prediction in Patients with Advanced Nasopharyngeal Carcinoma using Pretreatment PET/CT. CoRR abs/2109.07711 (2021) - [i18]Yuyu Guo, Lei Bi, Dongming Wei, Liyun Chen, Zhengbin Zhu, Dagan Feng, Ruiyan Zhang, Qian Wang, Jinman Kim:
Unsupervised Landmark Detection Based Spatiotemporal Motion Estimation for 4D Dynamic Medical Images. CoRR abs/2109.14805 (2021) - 2020
- [j52]Robin Huang
, Na Liu
, Mary Ann Nicdao, Mary Mikaheal, Tanya Baldacchino, Annabelle Albeos, Kathy Petoumenos
, Kamal Sud, Jinman Kim:
Emotion sharing in remote patient monitoring of patients with chronic kidney disease. J. Am. Medical Informatics Assoc. 27(2): 185-193 (2020) - [j51]Lei Bi
, David Dagan Feng
, Michael J. Fulham
, Jinman Kim:
Multi-Label classification of multi-modality skin lesion via hyper-connected convolutional neural network. Pattern Recognit. 107: 107502 (2020) - [j50]Anum Masood
, Bin Sheng
, Po Yang, Ping Li
, Huating Li, Jinman Kim
, David Dagan Feng
:
Automated Decision Support System for Lung Cancer Detection and Classification via Enhanced RFCN With Multilayer Fusion RPN. IEEE Trans. Ind. Informatics 16(12): 7791-7801 (2020) - [j49]Anam Nazir, Muhammad Nadeem Cheema
, Bin Sheng
, Huating Li, Ping Li
, Po Yang
, Younhyun Jung, Jing Qin
, Jinman Kim
, David Dagan Feng
:
OFF-eNET: An Optimally Fused Fully End-to-End Network for Automatic Dense Volumetric 3D Intracranial Blood Vessels Segmentation. IEEE Trans. Image Process. 29: 7192-7202 (2020) - [j48]Ashnil Kumar
, Michael J. Fulham
, Dagan Feng
, Jinman Kim
:
Co-Learning Feature Fusion Maps From PET-CT Images of Lung Cancer. IEEE Trans. Medical Imaging 39(1): 204-217 (2020) - [j47]Euijoon Ahn
, Ashnil Kumar
, Michael J. Fulham
, Dagan Feng
, Jinman Kim
:
Unsupervised Domain Adaptation to Classify Medical Images Using Zero-Bias Convolutional Auto-Encoders and Context-Based Feature Augmentation. IEEE Trans. Medical Imaging 39(7): 2385-2394 (2020) - [j46]Zhihua Chen, Zhuoliang Hu, Bin Sheng
, Ping Li
, Jinman Kim, Enhua Wu:
Simplified non-locally dense network for single-image dehazing. Vis. Comput. 36(10): 2189-2200 (2020) - [c76]Zhanpeng Tang, Robin Huang, Na Liu, Jinman Kim:
An Investigation of Social Support Features of Digital Health Applications. ACIS 2020: 65 - [c75]Ping Lu, Fang Zhu, Ping Li, Jinman Kim, Bin Sheng, Lijuan Mao:
Hierarchical Rendering System Based on Viewpoint Prediction in Virtual Reality. CGI 2020: 24-32 - [c74]Pengsheng Wang, Guangtao Xue, Ping Li
, Jinman Kim, Bin Sheng, Lijuan Mao:
GHand: A Graph Convolution Network for 3D Hand Pose Estimation. CGI 2020: 374-381 - [c73]Han Zhang, Riaz Ali
, Bin Sheng, Ping Li
, Jinman Kim, Jihong Wang:
Preserving Temporal Consistency in Videos Through Adaptive SLIC. CGI 2020: 405-410 - [c72]Yuyu Guo, Lei Bi, Euijoon Ahn
, Dagan Feng
, Qian Wang, Jinman Kim:
A Spatiotemporal Volumetric Interpolation Network for 4D Dynamic Medical Image. CVPR 2020: 4725-4734 - [c71]Xinheng Wu, Lei Bi, Michael J. Fulham, Jinman Kim:
Unsupervised Positron Emission Tomography Tumor Segmentation via GAN based Adversarial Auto-Encoder. ICARCV 2020: 448-453 - [c70]Xiaoshuang Li
, Lei Bi
, Jinman Kim
, Tingyao Li
, Peng Li
, Ye Tian
, Bin Sheng
, Dagan Feng
:
Malocclusion Treatment Planning via PointNet Based Spatial Transformation Network. MICCAI (3) 2020: 105-114 - [c69]Kaiyi Cao, Lei Bi, Dagan Feng, Jinman Kim:
Improving PET-CT Image Segmentation via Deep Multi-modality Data Augmentation. MLMIR@MICCAI 2020: 145-152 - [c68]Yige Peng, Lei Bi, Michael J. Fulham
, Dagan Feng, Jinman Kim:
Multi-modality Information Fusion for Radiomics-Based Neural Architecture Search. MICCAI (7) 2020: 763-771 - [e2]