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2020 – today
- 2022
[j72]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)- [j71]Lei Bi, Michael J. Fulham, Jinman Kim:
Hyper-fusion network for semi-automatic segmentation of skin lesions. Medical Image Anal. 76: 102334 (2022) - [j70]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) - [j69]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) - [j68]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) - [c86]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 - [c85]Usman Naseem, Adam G. Dunn, Jinman Kim, Matloob Khushi:
Early Identification of Depression Severity Levels on Reddit Using Ordinal Classification. WWW 2022: 2563-2572 - [c84]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 - [i31]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) - [i30]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) - 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) - [c83]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 - [c82]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 - [c81]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 - [c80]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 - [c79]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 - [c78]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 - [c77]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 - [c76]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) - [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]Nadia Magnenat-Thalmann, Constantine Stephanidis, Enhua Wu, Daniel Thalmann, Bin Sheng, Jinman Kim, George Papagiannakis, Marina L. Gavrilova:
Advances in Computer Graphics - 37th Computer Graphics International Conference, CGI 2020, Geneva, Switzerland, October 20-23, 2020, Proceedings. Lecture Notes in Computer Science 12221, Springer 2020, ISBN 978-3-030-61863-6 [contents] - [i17]Yuyu Guo, Lei Bi, Euijoon Ahn, Dagan Feng, Qian Wang, Jinman Kim:
A Spatiotemporal Volumetric Interpolation Network for 4D Dynamic Medical Image. CoRR abs/2002.12680 (2020) - [i16]Yige Peng, Lei Bi, Michael J. Fulham, Dagan Feng, Jinman Kim:
Multi-Modality Information Fusion for Radiomics-based Neural Architecture Search. CoRR abs/2007.06002 (2020) - [i15]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. CoRR abs/2007.14625 (2020) - [i14]Xiaohang Fu, Lei Bi, Ashnil Kumar, Michael J. Fulham, Jinman Kim:
Multimodal Spatial Attention Module for Targeting Multimodal PET-CT Lung Tumor Segmentation. CoRR abs/2007.14728 (2020) - [i13]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. CoRR abs/2009.09223 (2020)
2010 – 2019
- 2019
- [j45]Younhyun Jung, Jinman Kim, Lei Bi, Ashnil Kumar, David Dagan Feng, Michael J. Fulham:
A direct volume rendering visualization approach for serial PET-CT scans that preserves anatomical consistency. Int. J. Comput. Assist. Radiol. Surg. 14(5): 733-744 (2019) - [j44]Hoijoon Jung, Younhyun Jung, David Dagan Feng, Michael J. Fulham, Jinman Kim:
A web-based multidisciplinary team meeting visualisation system. Int. J. Comput. Assist. Radiol. Surg. 14(12): 2221-2231 (2019) - [j43]Robin Huang, Anthony Nedanoski, David F. Fletcher, Narinder Singh, Jérôme Schmid, Paul M. Young, Nicholas Stow, Lei Bi, Daniela Traini, Eugene Wong, Craig L. Phillips, Ronald R. Grunstein, Jinman Kim:
An automated segmentation framework for nasal computational fluid dynamics analysis in computed tomography. Comput. Biol. Medicine 115 (2019) - [j42]Ke Yan, Xiuying Wang, Jinman Kim, Mohamed Khadra, Michael J. Fulham, Dagan Feng:
A propagation-DNN: Deep combination learning of multi-level features for MR prostate segmentation. Comput. Methods Programs Biomed. 170: 11-21 (2019) - [j41]Yuxi Jin, Ping Li, Bin Sheng, Yongwei Nie, Jinman Kim, Enhua Wu:
SRNPD: Spatial rendering network for pencil drawing stylization. Comput. Animat. Virtual Worlds 30(3-4) (2019) - [j40]Euijoon Ahn, Ashnil Kumar, Michael J. Fulham, Dagan Feng, Jinman Kim:
Convolutional sparse kernel network for unsupervised medical image analysis. Medical Image Anal. 56: 140-151 (2019) - [j39]Michael de Ridder, Karsten Klein, Jean Yee Hwa Yang, Pengyi Yang, Jim Lagopoulos, Ian B. Hickie, Max Bennett, Jinman Kim:
An Uncertainty Visual Analytics Framework for fMRI Functional Connectivity. Neuroinformatics 17(2): 211-223 (2019) - [j38]Lei Bi, Jinman Kim, Euijoon Ahn, Ashnil Kumar, Dagan Feng, Michael J. Fulham:
Step-wise integration of deep class-specific learning for dermoscopic image segmentation. Pattern Recognit. 85: 78-89 (2019) - [j37]Muhammad Nadeem Cheema, Anam Nazir, Bin Sheng, Ping Li, Jing Qin, Jinman Kim, David Dagan Feng:
Image-Aligned Dynamic Liver Reconstruction Using Intra-Operative Field of Views for Minimal Invasive Surgery. IEEE Trans. Biomed. Eng. 66(8): 2163-2173 (2019) - [j36]Ha Tran Hong Phan, Ashnil Kumar, David Feng, Michael J. Fulham, Jinman Kim:
Unsupervised Two-Path Neural Network for Cell Event Detection and Classification Using Spatiotemporal Patterns. IEEE Trans. Medical Imaging 38(6): 1477-1487 (2019) - [c67]Sabrina Jaeger, Karsten Klein, Lucas Joos, Johannes Zagermann, Michael de Ridder, Jinman Kim, Jean Yee Hwa Yang, Ulrike Pfeil, Harald Reiterer, Falk Schreiber:
Challenges for Brain Data Analysis in VR Environments. PacificVis 2019: 42-46 - [c66]Lianyi Wu, Yiming Liu, Yelin Shi, Bin Sheng, Ping Li, Lei Bi, Jinman Kim:
Optic Disc and Cup Segmentation Based on Enhanced SegNet. CASA 2019: 33-36 - [c65]Lianyi Wu, Yiming Liu, Yelin Shi, Bin Sheng, Ping Li, Lei Bi, Jinman Kim:
Detect Glaucoma with Image Segmentation and Transfer Learning. CASA 2019: 37-40 - [c64]Yuan Yuan, Bin Sheng, Ping Li, Lei Bi, Jinman Kim, Enhua Wu:
Deep Intrinsic Image Decomposition Using Joint Parallel Learning. CGI 2019: 336-341 - [c63]Yige Peng, Lei Bi, Yuyu Guo, Dagan Feng, Michael J. Fulham, Jinman Kim:
Deep multi-modality collaborative learning for distant metastases predication in PET-CT soft-tissue sarcoma studies. EMBC 2019: 3658-3688 - [c62]Son Phung, Ashnil Kumar, Jinman Kim:
A deep learning technique for imputing missing healthcare data. EMBC 2019: 6513-6516 - [c61]Anum Masood, Bin Sheng, Ping Li, Po Yang, Jinman Kim:
Automatic Computer Aided System for Lung Cancer in Chest CTs Using MD-RFCN Combined with Tri-Level Region Proposal Network. INDIN 2019: 1377-1380 - [c60]Ha Tran Hong Phan, Ashnil Kumar, Dagan Feng, Michael J. Fulham, Jinman Kim:
Optimizing Contextual Feature Learning for Mitosis Detection with Convolutional Recurrent Neural Networks. ISBI 2019: 240-243 - [c59]Lei Bi, Dagan Feng, Michael J. Fulham, Jinman Kim:
Improving Skin Lesion Segmentation via Stacked Adversarial Learning. ISBI 2019: 1100-1103 - [c58]Euijoon Ahn, Ashnil Kumar, Dagan Feng, Michael J. Fulham, Jinman Kim:
Unsupervised Deep Transfer Feature Learning for Medical Image Classification. ISBI 2019: 1915-1918 - [c57]Yuyu Guo, Lei Bi, Ashnil Kumar, Yue Gao, Ruiyan Zhang, Dagan Feng, Qian Wang, Jinman Kim:
Deep Local-Global Refinement Network for Stent Analysis in IVOCT Images. MICCAI (5) 2019: 539-546 - [i12]Lei Bi, Yuyu Guo, Qian Wang, Dagan Feng, Michael J. Fulham, Jinman Kim:
Automated Segmentation of the Optic Disk and Cup using Dual-Stage Fully Convolutional Networks. CoRR abs/1902.04713 (2019) - [i11]Euijoon Ahn, Ashnil Kumar, Dagan Feng, Michael J. Fulham, Jinman Kim:
Unsupervised Deep Transfer Feature Learning for Medical Image Classification. CoRR abs/1903.06342 (2019) - [i10]Euijoon Ahn, Ashnil Kumar, Dagan Feng, Michael J. Fulham, Jinman Kim:
Unsupervised Feature Learning with K-means and An Ensemble of Deep Convolutional Neural Networks for Medical Image Classification. CoRR abs/1906.03359 (2019) - [i9]Ha Tran Hong Phan, Ashnil Kumar, David Feng, Michael J. Fulham, Jinman Kim:
Semi-supervised estimation of event temporal length for cell event detection. CoRR abs/1909.09946 (2019) - 2018
- [j35]Michael de Ridder, Karsten Klein, Jinman Kim:
A review and outlook on visual analytics for uncertainties in functional magnetic resonance imaging. Brain Informatics 5(2) (2018) - [j34]Younhyun Jung, Jinman Kim, Ashnil Kumar, David Dagan Feng, Michael J. Fulham:
Feature of Interest-Based Direct Volume Rendering Using Contextual Saliency-Driven Ray Profile Analysis. Comput. Graph. Forum 37(6): 5-19 (2018) - [j33]Yuchen Yuan, Changyang Li, Jinman Kim, Weidong Cai, David Dagan Feng:
Dense and Sparse Labeling With Multidimensional Features for Saliency Detection. IEEE Trans. Circuits Syst. Video Technol. 28(5): 1130-1143 (2018) - [j32]Yuchen Yuan, Changyang Li, Jinman Kim, Weidong Cai, David Dagan Feng:
Reversion Correction and Regularized Random Walk Ranking for Saliency Detection. IEEE Trans. Image Process. 27(3): 1311-1322 (2018) - [j31]Lei Bi, Dagan Feng, Jinman Kim:
Dual-Path Adversarial Learning for Fully Convolutional Network (FCN)-Based Medical Image Segmentation. Vis. Comput. 34(6-8): 1043-1052 (2018) - [c56]Xiaoshuang Li, Bin Sheng, Ping Li, Jinman Kim, David Dagan Feng:
Voxelized Facial Reconstruction Using Deep Neural Network. CGI 2018: 1-4 - [c55]Tian Xia, Ashnil Kumar, Dagan Feng, Jinman Kim:
Patch-level Tumor Classification in Digital Histopathology Images with Domain Adapted Deep Learning. EMBC 2018: 644-647 - [c54]Michael de Ridder, Karsten Klein, Jinman Kim:
Adapted K-Core Decomposition and Visualization for Functional Magnetic Resonance Imaging Connectivity Networks. EMBC 2018: 4134-4137 - [c53]Ke Yan, Chaojie Zheng, Qiu Huang, Jinman Kim, Dagan Feng, Xiuying Wang:
Prior Knowledge Driven Energy for Saliency Detection. ICARCV 2018: 15-20 - [p1]Tobias Czauderna, Jason Haga, Jinman Kim, Matthias Klapperstück, Karsten Klein, Torsten W. Kuhlen, Steffen Oeltze-Jafra, Björn Sommer, Falk Schreiber:
Immersive Analytics Applications in Life and Health Sciences. Immersive Analytics 2018: 289-330 - [e1]Nadia Magnenat-Thalmann, Jinman Kim, Holly E. Rushmeier, Bruno Lévy, Hao (Richard) Zhang, Daniel Thalmann:
Proceedings of Computer Graphics International 2018, CGI 2018, Bintan Island, Indonesia, June 11-14, 2018. ACM 2018 [contents] - [i8]Euijoon Ahn, Jinman Kim, Ashnil Kumar, Michael J. Fulham, Dagan Feng:
Sparsity-based Convolutional Kernel Network for Unsupervised Medical Image Analysis. CoRR abs/1807.05648 (2018) - [i7]Lei Bi, Dagan Feng, Jinman Kim:
Improving Automatic Skin Lesion Segmentation using Adversarial Learning based Data Augmentation. CoRR abs/1807.08392 (2018) - [i6]Ashnil Kumar, Michael J. Fulham, Dagan Feng, Jinman Kim:
Co-Learning Feature Fusion Maps from PET-CT Images of Lung Cancer. CoRR abs/1810.02492 (2018) - 2017
- [j30]Lei Bi, Jinman Kim, Ashnil Kumar, Lingfeng Wen, Dagan Feng, Michael J. Fulham:
Automatic detection and classification of regions of FDG uptake in whole-body PET-CT lymphoma studies. Comput. Medical Imaging Graph. 60: 3-10 (2017) - [j29]Yesool Cha, Jinman Kim, Byoung-Ha Park, Young-Choong Park, Seong-Dong Kim:
Development of an ICT Car Service Applying a Human-Centered Design. KSII Trans. Internet Inf. Syst. 11(6): 3071-3085 (2017) - [j28]