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ORCIDDavid Dagan Feng
David D. Feng – Dagan Feng 0001 – David Feng 0003 – 冯大淦
Person information
- unicode name: 冯大淦
- affiliation: University of Sydney, School of Information Technologies, Australia
- affiliation: Hong Kong Polytechnic University, Hong Kong
- affiliation (PhD 1988): University of California Los Angeles, CA, USA
Other persons with the same name
- David Feng — disambiguation page
- David Feng 0001
![[0000-0002-4920-8123]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-4920-8123")
— Allen Institute for Brain Science, Seattle, WA, USA (and 1 more) - David Feng 0002 — CSIRO, Data61, Australia (and 1 more)
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2020 – today
- 2024
[j269]Hui Cui, Qiangguo Jin, Xixi Wu, Linlin Wang, Tiangang Zhang, Toshiya Nakaguchi, Ping Xuan, David Dagan Feng:
Evolving graph convolutional network with transformer for CT segmentation. Appl. Soft Comput. 165: 112069 (2024)- [j268]Yang Wen, Yi-Lin Wu, Lei Bi, Wuzhen Shi, Xiao-Xiao Liu, Yupeng Xu, Xun Xu, Wen-Ming Cao, David Dagan Feng:
A Transformer-Assisted Cascade Learning Network for Choroidal Vessel Segmentation. J. Comput. Sci. Technol. 39(2): 286-304 (2024) - [j267]Ruhan Liu, Jiajia Li, Yang Wen, Huating Li, Ping Zhang, Bin Sheng, David Dagan Feng:
DDE: Deep Dynamic Epidemiological Modeling for Infectious Illness Development Forecasting in Multi-level Geographic Entities. J. Heal. Informatics Res. 8(3): 478-505 (2024) - [j266]Ziyi Qi, Tingyao Li, Jun Chen, Jason C. Yam, Yang Wen, Gengyou Huang, Hua Zhong, Mingguang He, Dan Zhu, Rongping Dai, Bo Qian, Jingjing Wang, Chaoxu Qian, Wei Wang, Yanfei Zheng, Jian Zhang, Xianglong Yi, Zheyuan Wang, Bo Zhang, Chunyu Liu, Tianyu Cheng, Xiaokang Yang, Jun Li, Yan-Ting Pan, Xiaohu Ding, Ruilin Xiong, Yan Wang, Yan Zhou, Dagan Feng, Sichen Liu, Linlin Du, Jinliuxing Yang, Zhuoting Zhu, Lei Bi, Jinman Kim, Fangyao Tang, Yuzhou Zhang, Xiujuan Zhang, Haidong Zou, Marcus Ang, Clement C. Tham, Carol Y. Cheung, Chi Pui Pang, Bin Sheng, Xiangui He, Xun Xu:
A deep learning system for myopia onset prediction and intervention effectiveness evaluation in children. npj Digit. Medicine 7(1) (2024) - [j265]Jianan Liu, Hao Li, Tao Huang, Euijoon Ahn, Kang Han, Adeel Razi, Wei Xiang, Jinman Kim, David Dagan Feng:
Unsupervised Representation Learning for 3-D Magnetic Resonance Imaging Superresolution With Degradation Adaptation. IEEE Trans. Artif. Intell. 5(9): 4660-4674 (2024) - [j264]Jiayin Xiao, Si Li, Tongxu Lin, Jian Zhu, Xiaochen Yuan, David Dagan Feng, Bin Sheng:
Multi-Label Chest X-Ray Image Classification With Single Positive Labels. IEEE Trans. Medical Imaging 43(12): 4404-4418 (2024) - [c332]Mingyuan Meng, Dagan Feng, Lei Bi, Jinman Kim:
Correlation-aware Coarse-to-fine MLPs for Deformable Medical Image Registration. CVPR 2024: 9645-9654 - [c331]Xiaoshuang Li, Mingyuan Meng, Zimo Huang, Lei Bi, Eduardo Delamare, David Dagan Feng, Bin Sheng, Jinman Kim:
3DPX: Progressive 2D-to-3D Oral Image Reconstruction with Hybrid MLP-CNN Networks. MICCAI (7) 2024: 25-34 - [c330]Shuchang Ye, Mingyuan Meng, Mingjian Li, David Dagan Feng, Jinman Kim:
Enabling Text-Free Inference in Language-Guided Segmentation of Chest X-Rays via Self-guidance. MICCAI (8) 2024: 242-252 - [i47]Mingjian Li, Mingyuan Meng, Michael J. Fulham, David Dagan Feng, Lei Bi, Jinman Kim:
Enhancing medical vision-language contrastive learning via inter-matching relation modelling. CoRR abs/2401.10501 (2024) - [i46]Shuchang Ye, Mingyuan Meng, Mingjian Li, Dagan Feng, Jinman Kim:
Dual-modal Dynamic Traceback Learning for Medical Report Generation. CoRR abs/2401.13267 (2024) - [i45]Mingyuan Meng, Dagan Feng, Lei Bi, Jinman Kim:
Correlation-aware Coarse-to-fine MLPs for Deformable Medical Image Registration. CoRR abs/2406.00123 (2024) - [i44]Xiaoshuang Li, Mingyuan Meng, Zimo Huang, Lei Bi, Eduardo Delamare, Dagan Feng, Bin Sheng, Jinman Kim:
3DPX: Progressive 2D-to-3D Oral Image Reconstruction with Hybrid MLP-CNN Networks. CoRR abs/2408.01292 (2024) - [i43]Shuchang Ye, Mingyuan Meng, Mingjian Li, Dagan Feng, Jinman Kim:
SGSeg: Enabling Text-free Inference in Language-guided Segmentation of Chest X-rays via Self-guidance. CoRR abs/2409.04758 (2024) - [i42]Xiaoshuang Li, Zimo Huang, Mingyuan Meng, Eduardo Delamare, Dagan Feng, Lei Bi, Bin Sheng, Lingyong Jiang, Bo Li, Jinman Kim:
3DPX: Single Panoramic X-ray Analysis Guided by 3D Oral Structure Reconstruction. CoRR abs/2409.18701 (2024) - [i41]Mingjian Li, Mingyuan Meng, Shuchang Ye, David Dagan Feng, Lei Bi, Jinman Kim:
Language-guided Medical Image Segmentation with Target-informed Multi-level Contrastive Alignments. CoRR abs/2412.13533 (2024) - 2023
- [j263]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) - [j262]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) - [j261]Tian Xia, Xiaohang Fu, Michael J. Fulham, Yue Wang, David Feng, Jinman Kim:
CT-based Radiogenomics Framework for COVID-19 Using ACE2 Imaging Representations. J. Digit. Imaging 36(6): 2356-2366 (2023) - [j260]Jinyu Wen, Yang Li, Meie Fang, Lei Zhu, David Dagan Feng, Ping Li:
Fine-Grained and Multiple Classification for Alzheimer's Disease With Wavelet Convolution Unit Network. IEEE Trans. Biomed. Eng. 70(9): 2592-2603 (2023) - [j259]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) - [j258]Kun Hu, Shaohui Mei, Wei Wang, Kaylena A. Ehgoetz Martens, Liang Wang, Simon J. G. Lewis, David D. Feng, Zhiyong Wang:
Multi-Level Adversarial Spatio-Temporal Learning for Footstep Pressure Based FoG Detection. IEEE J. Biomed. Health Informatics 27(8): 4166-4177 (2023) - [j257]Yuchen Du, Lisheng Wang, Deyu Meng, Benzhi Chen, Chengyang An, Hao Liu, Weiping Liu, Yupeng Xu, Ying Fan, Dagan Feng, Xiuying Wang, Xun Xu:
Individualized Statistical Modeling of Lesions in Fundus Images for Anomaly Detection. IEEE Trans. Medical Imaging 42(4): 1185-1196 (2023) - [j256]Wenxiang Ding, Qiaoqiao Ding, Kewei Chen, Miao Zhang, Li Lv, David Dagan Feng, Lei Bi, Jinman Kim, Qiu Huang:
A Shortened Model for Logan Reference Plot Implemented via the Self-Supervised Neural Network for Parametric PET Imaging. IEEE Trans. Medical Imaging 42(10): 2842-2852 (2023) - [j255]Xiao Lin, Shuzhou Sun, Wei Huang, Bin Sheng, Ping Li, David Dagan Feng:
EAPT: Efficient Attention Pyramid Transformer for Image Processing. IEEE Trans. Multim. 25: 50-61 (2023) - [j254]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) - [c329]Shuchang Ye, Mingyuan Meng, David Dagan Feng, Jinman Kim:
Semantic-Driven Global-Local Cooperative Contrastive Learning for Medical Report Generation. DICTA 2023: 251-257 - [c328]Lei Bi, Michael J. Fulham, Shaoli Song, David Dagan Feng, Jinman Kim:
Hyper-Connected Transformer Network for Multi-Modality PET-CT Segmentation. EMBC 2023: 1-4 - [c327]Yuan Yuan, Euijoon Ahn, Dagan Feng, Mohamed Khadra, Jinman Kim:
SSPT-bpMRI: A Self-supervised Pre-training Scheme for Improving Prostate Cancer Detection and Diagnosis in Bi-parametric MRI. EMBC 2023: 1-4 - [c326]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. EMBC 2023: 1-4 - [c325]Mingyuan Meng, Lei Bi, Michael J. Fulham, David Feng, Jinman Kim:
Merging-Diverging Hybrid Transformer Networks for Survival Prediction in Head and Neck Cancer. MICCAI (6) 2023: 400-410 - [c324]Mingyuan Meng, Lei Bi, Michael J. Fulham, David Dagan Feng, Jinman Kim:
Non-iterative Coarse-to-Fine Transformer Networks for Joint Affine and Deformable Image Registration. MICCAI (10) 2023: 750-760 - [i40]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) - [i39]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) - [i38]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) - [i37]Ruhan Liu, Jiajia Li, Yang Wen, Huating Li, Ping Zhang, Bin Sheng, David Dagan Feng:
Deep Dynamic Epidemiological Modelling for COVID-19 Forecasting in Multi-level Districts. CoRR abs/2306.12457 (2023) - [i36]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) - [i35]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) - [i34]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) - [i33]Yuxin Xue, Lei Bi, Yige Peng, Michael J. Fulham, David Dagan Feng, Jinman Kim:
PET Synthesis via Self-supervised Adaptive Residual Estimation Generative Adversarial Network. CoRR abs/2310.15550 (2023) - [i32]Mingyuan Meng, Yuxin Xue, David Dagan Feng, Lei Bi, Jinman Kim:
Full-resolution MLPs Empower Medical Dense Prediction. CoRR abs/2311.16707 (2023) - 2022
- [j253]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) - [j252]Mingyuan Meng, Lei Bi, Michael J. Fulham, David Dagan Feng, Jinman Kim:
Enhancing medical image registration via appearance adjustment networks. NeuroImage 259: 119444 (2022) - [j251]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) - [j250]Jiahao Xu, Boyan Zhang, Zhiyong Wang, Yang Wang, Fang Chen, Junbin Gao, David Dagan Feng:
Affective Audio Annotation of Public Speeches with Convolutional Clustering Neural Network. IEEE Trans. Affect. Comput. 13(1): 238-249 (2022) - [j249]Ruhan Liu, Liang Ou, Bin Sheng, Pei Hao, Ping Li, Xiaokang Yang, Guangtao Xue, Lei Zhu, Yuyang Luo, Ping Zhang, Po Yang, Huating Li, David Dagan Feng:
Mixed-Weight Neural Bagging for Detecting $m^6A$ Modifications in SARS-CoV-2 RNA Sequencing. IEEE Trans. Biomed. Eng. 69(8): 2557-2568 (2022) - [j248]Jiajia Li, Jie Chen, Bin Sheng, Ping Li, Po Yang, David Dagan Feng, Jun Qi:
Automatic Detection and Classification System of Domestic Waste via Multimodel Cascaded Convolutional Neural Network. IEEE Trans. Ind. Informatics 18(1): 163-173 (2022) - [j247]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) - [j246]Mingyang Ma, Shaohui Mei, Shuai Wan, Zhiyong Wang, Xian-Sheng Hua, David Dagan Feng:
Graph Convolutional Dictionary Selection With L₂, ₚ Norm for Video Summarization. IEEE Trans. Image Process. 31: 1789-1804 (2022) - [j245]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) - [j244]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) - [j243]Wenxiang Ding, Jiangyuan Yu, Chaojie Zheng, Peng Fu, Qiu Huang, David Dagan Feng, Zhi Yang, Richard L. Wahl, Yun Zhou:
Machine Learning-Based Noninvasive Quantification of Single-Imaging Session Dual-Tracer 18F-FDG and 68Ga-DOTATATE Dynamic PET-CT in Oncology. IEEE Trans. Medical Imaging 41(2): 347-359 (2022) - [c323]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 - [c322]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 - [c321]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 - [i31]Yu-Xuan Chen, Dagan Feng, Hong-Bin Shen:
Unsupervised Difference Learning for Noisy Rigid Image Alignment. CoRR abs/2205.11829 (2022) - [i30]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) - [i29]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) - [i28]Kun Hu, Shaohui Mei, Wei Wang, Kaylena A. Ehgoetz Martens, Liang Wang, Simon J. G. Lewis, David D. Feng, Zhiyong Wang:
Multi-level Adversarial Spatio-temporal Learning for Footstep Pressure based FoG Detection. CoRR abs/2209.10770 (2022) - [i27]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) - [i26]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) - [i25]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) - [i24]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
- [j242]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) - [j241]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) - [j240]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) - [j239]Yu-Xuan Chen, Rui Xie, Yang Yang, Lin He, Dagan Feng, Hong-Bin Shen:
Fast Cryo-EM Image Alignment Algorithm Using Power Spectrum Features. J. Chem. Inf. Model. 61(9): 4795-4806 (2021) - [j238]Mingyang Ma, Shaohui Mei, Shuai Wan, Zhiyong Wang, David Dagan Feng, Mohammed Bennamoun:
Similarity Based Block Sparse Subset Selection for Video Summarization. IEEE Trans. Circuits Syst. Video Technol. 31(10): 3967-3980 (2021) - [j237]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) - [j236]Shan Zeng, Xiuying Wang, Xiangjun Duan, Sen Zeng, Zuyin Xiao, David Feng:
Kernelized Mahalanobis Distance for Fuzzy Clustering. IEEE Trans. Fuzzy Syst. 29(10): 3103-3117 (2021) - [j235]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) - [j234]Mingyang Ma, Shaohui Mei, Shuai Wan, Zhiyong Wang, Zongyuan Ge, Vincent Lam, Dagan Feng:
Keyframe Extraction From Laparoscopic Videos via Diverse and Weighted Dictionary Selection. IEEE J. Biomed. Health Informatics 25(5): 1686-1698 (2021) - [j233]Boyan Zhang, Zhiyong Wang, Junbin Gao, Chantal Rutjes, Kaitlin Nufer, Dacheng Tao, David Dagan Feng, Scott W. Menzies:
Short-Term Lesion Change Detection for Melanoma Screening With Novel Siamese Neural Network. IEEE Trans. Medical Imaging 40(3): 840-851 (2021) - [j232]Shaohui Mei, Mingyang Ma, Shuai Wan, Junhui Hou, Zhiyong Wang, David Dagan Feng:
Patch Based Video Summarization With Block Sparse Representation. IEEE Trans. Multim. 23: 732-747 (2021) - [j231]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) - [j230]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) - [c320]Euijoon Ahn, Dagan Feng, Jinman Kim:
A Spatial Guided Self-supervised Clustering Network for Medical Image Segmentation. MICCAI (1) 2021: 379-388 - [i23]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) - [i22]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) - [i21]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) - [i20]Euijoon Ahn, Dagan Feng, Jinman Kim:
A Spatial Guided Self-supervised Clustering Network for Medical Image Segmentation. CoRR abs/2107.04934 (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
- [j229]Runping Xi, Zhangcai Luo, David Dagan Feng, Yanning Zhang, Xiaopeng Zhang, Tianyi Han:
Survey on Smoothed Particle Hydrodynamics and the Particle Systems. IEEE Access 8: 3087-3105 (2020) - [j228]Ahmad Karambakhsh, Bin Sheng, Ping Li, Po Yang, Younhyun Jung, David Dagan Feng:
VoxRec: Hybrid Convolutional Neural Network for Active 3D Object Recognition. IEEE Access 8: 70969-70980 (2020) - [j227]Mingyang Ma, Shaohui Mei, Shuai Wan, Junhui Hou, Zhiyong Wang, David Dagan Feng:
Video summarization via block sparse dictionary selection. Neurocomputing 378: 197-209 (2020) - [j226]Anam Nazir, Muhammad Nadeem Cheema, Bin Sheng, Ping Li, Huating Li, Po Yang, Younhyun Jung, Jing Qin, David Dagan Feng:
SPST-CNN: Spatial pyramid based searching and tagging of liver's intraoperative live views via CNN for minimal invasive surgery. J. Biomed. Informatics 106: 103430 (2020) - [j225]Junbo Wang, Wei Wang, Liang Wang, Zhiyong Wang, David Dagan Feng, Tieniu Tan:
Learning visual relationship and context-aware attention for image captioning. Pattern Recognit. 98 (2020) - [j224]Benzhi Chen, Lisheng Wang, Xiuying Wang, Jian Sun, Yijie Huang, Dagan Feng, Zongben Xu:
Abnormality detection in retinal image by individualized background learning. Pattern Recognit. 102: 107209 (2020) - [j223]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) - [j222]Linpu Fang, Ningxin Liang, Wenxiong Kang, Zhiyong Wang, David Dagan Feng:
Real-time hand posture recognition using hand geometric features and Fisher Vector. Signal Process. Image Commun. 82: 115729 (2020) - [j221]Zhihua Chen, Jingye Wang, Bin Sheng, Ping Li, David Dagan Feng:
Illumination-Invariant Video Cut-Out Using Octagon Sensitive Optimization. IEEE Trans. Circuits Syst. Video Technol. 30(5): 1410-1422 (2020) - [j220]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) - [j219]Kun Hu, Zhiyong Wang, Wei Wang, Kaylena A. Ehgoetz Martens, Liang Wang, Tieniu Tan, Simon J. G. Lewis, David Dagan Feng:
Graph Sequence Recurrent Neural Network for Vision-Based Freezing of Gait Detection. IEEE Trans. Image Process. 29: 1890-1901 (2020) - [j218]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) - [j217]Biao Xue, Boya Deng, Hong Hong, Zhiyong Wang, Xiaohua Zhu, David Dagan Feng:
Non-Contact Sleep Stage Detection Using Canonical Correlation Analysis of Respiratory Sound. IEEE J. Biomed. Health Informatics 24(2): 614-625 (2020) - [j216]Kun Hu, Zhiyong Wang, Shaohui Mei, Kaylena A. Ehgoetz Martens, Tingting Yao, Simon J. G. Lewis, David Dagan Feng:
Vision-Based Freezing of Gait Detection With Anatomic Directed Graph Representation. IEEE J. Biomed. Health Informatics 24(4): 1215-1225 (2020) - [j215]Wei Qu, Zhiyong Wang, Hong Hong, Zheru Chi, David Dagan Feng, Ron Grunstein, Christopher Gordon:
A Residual Based Attention Model for EEG Based Sleep Staging. IEEE J. Biomed. Health Informatics 24(10): 2833-2843 (2020) - [j214]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) - [j213]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) - [c319]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 - [c318]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 - [c317]Kaiyi Cao, Lei Bi, Dagan Feng, Jinman Kim:
Improving PET-CT Image Segmentation via Deep Multi-modality Data Augmentation. MLMIR@MICCAI 2020: 145-152 - [c316]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 - [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]