Dong Nie

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 75

Top Topics

Organ Segmentation

Image Segmentation

Convolutional Network

Top Venues

IEEE Trans. Medical Imaging

Medical Image Anal.

Publications

Huabing Liu, Zhengze Ni, Dong Nie, Dinggang Shen, Jinda Wang, Zhenyu Tang
Multimodal Brain Tumor Segmentation Boosted by Monomodal Normal Brain Images. IEEE Trans. Image Process. 33 (2024)
Zhengyang Jiao, Xingchen Peng, Yan Wang, Jianghong Xiao, Dong Nie, Xi Wu, Xin Wang, Jiliu Zhou, Dinggang Shen
TransDose: Transformer-based radiotherapy dose prediction from CT images guided by super-pixel-level GCN classification. Medical Image Anal. 89 (2023)
Caiwen Jiang, Yongsheng Pan, Zhiming Cui, Dong Nie, Dinggang Shen
Semi-Supervised Standard-Dose PET Image Generation via Region-Adaptive Normalization and Structural Consistency Constraint. IEEE Trans. Medical Imaging 42 (10) (2023)
Yilin Liu, Jiang Li, Yunkui Pang, Dong Nie, Pew-Thian Yap
The Devil is in the Upsampling: Architectural Decisions Made Simpler for Denoising with Deep Image Prior. CoRR (2023)
Yili Lin, Dong Nie, Yuting Liu, Ming Yang, Daoqiang Zhang, Xuyun Wen
Multi-Target Domain Adaptation with Prompt Learning for Medical Image Segmentation. MICCAI (1) (2023)
Yilin Liu, Jiang Li, Yunkui Pang, Dong Nie, Pew-Thian Yap
The Devil is in the Upsampling: Architectural Decisions Made Simpler for Denoising with Deep Image Prior. ICCV (2023)
Junwei Yang, Xiao-Xin Li, Feihong Liu, Dong Nie, Pietro Liò, Haikun Qi, Dinggang Shen
Fast Multi-Contrast MRI Acquisition by Optimal Sampling of Information Complementary to Pre-Acquired MRI Contrast. IEEE Trans. Medical Imaging 42 (5) (2023)
Dong Nie, Rui Lan, Ling Wang, Xiaofeng Ren
Pyramid Architecture for Multi-Scale Processing in Point Cloud Segmentation. CVPR (2022)
Li Gao, Dong Nie, Bo Li, Xiaofeng Ren
Doubly-Fused ViT: Fuse Information from Vision Transformer Doubly with Local Representation. ECCV (23) (2022)
Chang Lu, Chandan K. Reddy, Ping Wang, Dong Nie, Yue Ning
Multi-Label Clinical Time-Series Generation via Conditional GAN. CoRR (2022)
Pin Tang, Pinli Yang, Dong Nie, Xi Wu, Jiliu Zhou, Yan Wang
Unified medical image segmentation by learning from uncertainty in an end-to-end manner. Knowl. Based Syst. 241 (2022)
Jingqi Huang, Yue Ning, Dong Nie, Linan Guan, Xiping Jia
Weakly-supervised Metric Learning with Cross-Module Communications for the Classification of Anterior Chamber Angle Images. CVPR (2022)
Hoang T. N. Nguyen, Dong Nie, Taivanbat Badamdorj, Yujie Liu, Lingzi Hong, Jason Truong, Li Cheng
EDDIE-Transformer: Enriched Disease Embedding Transformer for X-Ray Report Generation. ISBI (2022)
Kaiping Wang, Yan Wang, Bo Zhan, Yujie Yang, Chen Zu, Xi Wu, Jiliu Zhou, Dong Nie, Luping Zhou
An Efficient Semi-Supervised Framework with Multi-Task and Curriculum Learning for Medical Image Segmentation. Int. J. Neural Syst. 32 (9) (2022)
Sihang Zhou, Dong Nie, Ehsan Adeli, Qian Wei, Xuhua Ren, Xinwang Liu, En Zhu, Jianping Yin, Qian Wang, Dinggang Shen
Semantic instance segmentation with discriminative deep supervision for medical images. Medical Image Anal. 82 (2022)
Huidong Li, Xingchen Peng, Jie Zeng, Jianghong Xiao, Dong Nie, Chen Zu, Xi Wu, Jiliu Zhou, Yan Wang
Explainable attention guided adversarial deep network for 3D radiotherapy dose distribution prediction. Knowl. Based Syst. 241 (2022)
Hoang T. N. Nguyen, Dong Nie, Taivanbat Badamdorj, Yujie Liu, Yingying Zhu, Jason Truong, Li Cheng
Automated Generation of Accurate & Fluent Medical X-ray Reports. EMNLP (1) (2021)
Jie Xue, Kelei He, Dong Nie, Ehsan Adeli, Zhenshan Shi, Seong-Whan Lee, Yuanjie Zheng, Xiyu Liu, Dengwang Li, Dinggang Shen
Cascaded MultiTask 3-D Fully Convolutional Networks for Pancreas Segmentation. IEEE Trans. Cybern. 51 (4) (2021)
Gregory Szalkowski, Dong Nie, Tong Zhu, Pew-Thian Yap, Jun Lian
Synthetic digital reconstructed radiographs for MR-only robotic stereotactic radiation therapy: A proof of concept. Comput. Biol. Medicine 138 (2021)
Yanmei Luo, Dong Nie, Bo Zhan, Zhiang Li, Xi Wu, Jiliu Zhou, Yan Wang, Dinggang Shen
Edge-preserving MRI image synthesis via adversarial network with iterative multi-scale fusion. Neurocomputing 452 (2021)
Hoang T. N. Nguyen, Dong Nie, Taivanbat Badamdorj, Yujie Liu, Yingying Zhu, Jason Truong, Li Cheng
Automated Generation of Accurate & Fluent Medical X-ray Reports. CoRR (2021)
Kelei He, Chunfeng Lian, Bing Zhang, Xin Zhang, Xiaohuan Cao, Dong Nie, Yang Gao, Junfeng Zhang, Dinggang Shen
HF-UNet: Learning Hierarchically Inter-Task Relevance in Multi-Task U-Net for Accurate Prostate Segmentation in CT Images. IEEE Trans. Medical Imaging 40 (8) (2021)
Junwei Yang, Xiao-Xin Li, Feihong Liu, Dong Nie, Pietro Liò, Haikun Qi, Dinggang Shen
Fast T2w/FLAIR MRI Acquisition by Optimal Sampling of Information Complementary to Pre-acquired T1w MRI. CoRR (2021)
Mengkang Lu, Yongsheng Pan, Dong Nie, Feihong Liu, Feng Shi, Yong Xia, Dinggang Shen
SMILE: Sparse-Attention based Multiple Instance Contrastive Learning for Glioma Sub-Type Classification Using Pathological Images. COMPAY@MICCAI (2021)
Dong Nie, Roger Trullo, Jun Lian, Li Wang, Caroline Petitjean, Su Ruan, Qian Wang, Dinggang Shen
Corrections to "Medical Image Synthesis With Deep Convolutional Adversarial Networks". IEEE Trans. Biomed. Eng. 67 (9) (2020)
HaiBo Zhou, JianJun Zhang, Zhenzhong Liu, Dong Nie, Wanqing Wu, Victor Hugo C. de Albuquerque
Research on Circular Area Search algorithm of multi-robot service based on SOA cloud platform. Appl. Soft Comput. 88 (2020)
Xu Chen, James J. Xia, Dinggang Shen, Chunfeng Lian, Li Wang, Hannah H. Deng, Steve H. Fung, Dong Nie, Kim-Han Thung, Pew-Thian Yap, Jaime Gateno
One-Shot Generative Adversarial Learning for MRI Segmentation of Craniomaxillofacial Bony Structures. IEEE Trans. Medical Imaging 39 (3) (2020)
Dong Nie, Dinggang Shen
Adversarial Confidence Learning for Medical Image Segmentation and Synthesis. Int. J. Comput. Vis. 128 (10) (2020)
Shujun Liang, Kim-Han Thung, Dong Nie, Yu Zhang, Dinggang Shen
Multi-View Spatial Aggregation Framework for Joint Localization and Segmentation of Organs at Risk in Head and Neck CT Images. IEEE Trans. Medical Imaging 39 (9) (2020)
Kelei He, Chunfeng Lian, Bing Zhang, Xin Zhang, Xiaohuan Cao, Dong Nie, Yang Gao, Junfeng Zhang, Dinggang Shen
HF-UNet: Learning Hierarchically Inter-Task Relevance in Multi-Task U-Net for Accurate Prostate Segmentation. CoRR (2020)
Ao Luo, Fan Yang, Xin Li, Dong Nie, Zhicheng Jiao, Shangchen Zhou, Hong Cheng
Hybrid Graph Neural Networks for Crowd Counting. CoRR (2020)
Dong Nie, Jia Xue, Xiaofeng Ren
Bidirectional Pyramid Networks for Semantic Segmentation. ACCV (1) (2020)
Xuhua Ren, Sahar Ahmad, Lichi Zhang, Lei Xiang, Dong Nie, Fan Yang, Qian Wang, Dinggang Shen
Task Decomposition and Synchronization for Semantic Biomedical Image Segmentation. IEEE Trans. Image Process. 29 (2020)
Sihang Zhou, Dong Nie, Ehsan Adeli, Jianping Yin, Jun Lian, Dinggang Shen
High-Resolution Encoder-Decoder Networks for Low-Contrast Medical Image Segmentation. IEEE Trans. Image Process. 29 (2020)
Ao Luo, Fan Yang, Xin Li, Dong Nie, Zhicheng Jiao, Shangchen Zhou, Hong Cheng
Hybrid Graph Neural Networks for Crowd Counting. AAAI (2020)
Ying Bai, Haifeng Zhao, Shaojie Zhang, Dong Nie, Zhenyu Tang
Multi-scale Hierarchy Feature Fusion Generative Adversarial Network for Low-Dose CT Denoising. ICBBS (2020)
Shuai Wang, Dong Nie, Liangqiong Qu, Yeqin Shao, Jun Lian, Qian Wang, Dinggang Shen
CT Male Pelvic Organ Segmentation via Hybrid Loss Network With Incomplete Annotation. IEEE Trans. Medical Imaging 39 (6) (2020)
Shuai Wang, Kelei He, Dong Nie, Sihang Zhou, Yaozong Gao, Dinggang Shen
Hierarchical Representation For Ct Prostate Segmentation. ISBI (2019)
Dong Nie, Dinggang Shen
Semantic-guided Encoder Feature Learning for Blurry Boundary Delineation. CoRR (2019)
Dong Nie, Lei Xiang, Qian Wang, Dinggang Shen
Dual Adversarial Learning with Attention Mechanism for Fine-grained Medical Image Synthesis. CoRR (2019)
Yilin Liu, Gregory R. Kirk, Brendon M. Nacewicz, Martin A. Styner, Mingren Shen, Dong Nie, Nagesh Adluru, Benjamin Yeske, Peter A. Ferrazzano, Andrew L. Alexander
Harmonization and Targeted Feature Dropout for Generalized Segmentation: Application to Multi-site Traumatic Brain Injury Images. DART/MIL3ID@MICCAI (2019)
Shuai Wang, Kelei He, Dong Nie, Sihang Zhou, Yaozong Gao, Dinggang Shen
CT male pelvic organ segmentation using fully convolutional networks with boundary sensitive representation. Medical Image Anal. 54 (2019)
Kelei He, Xiaohuan Cao, Yinghuan Shi, Dong Nie, Yang Gao, Dinggang Shen
Pelvic Organ Segmentation Using Distinctive Curve Guided Fully Convolutional Networks. IEEE Trans. Medical Imaging 38 (2) (2019)
Dong Nie, Li Wang, Lei Xiang, Sihang Zhou, Ehsan Adeli, Dinggang Shen
Difficulty-Aware Attention Network with Confidence Learning for Medical Image Segmentation. AAAI (2019)
Li Wang, Dong Nie, Guannan Li, Élodie Puybareau, Jose Dolz, Qian Zhang, Fan Wang, Jing Xia, Zhengwang Wu, Jiawei Chen, Kim-Han Thung, Toan Duc Bui, Jitae Shin, Guodong Zeng, Guoyan Zheng, Vladimir S. Fonov, Andrew Doyle, Yongchao Xu, Pim Moeskops, Josien P. W. Pluim, Christian Desrosiers, Ismail Ben Ayed, Gerard Sanroma, Oualid M. Benkarim, Adrià Casamitjana, Verónica Vilaplana, Weili Lin, Gang Li, Dinggang Shen
Benchmark on Automatic Six-Month-Old Infant Brain Segmentation Algorithms: The iSeg-2017 Challenge. IEEE Trans. Medical Imaging 38 (9) (2019)
Dong Nie, Li Wang, Ehsan Adeli, Cuijin Lao, Weili Lin, Dinggang Shen
3-D Fully Convolutional Networks for Multimodal Isointense Infant Brain Image Segmentation. IEEE Trans. Cybern. 49 (3) (2019)
Dong Nie, Li Wang, Yaozong Gao, Jun Lian, Dinggang Shen
STRAINet: Spatially Varying sTochastic Residual AdversarIal Networks for MRI Pelvic Organ Segmentation. IEEE Trans. Neural Networks Learn. Syst. 30 (5) (2019)
Zhenghan Fang, Yong Chen, Dong Nie, Weili Lin, Dinggang Shen
RCA-U-Net: Residual Channel Attention U-Net for Fast Tissue Quantification in Magnetic Resonance Fingerprinting. MICCAI (3) (2019)
Xuhua Ren, Lichi Zhang, Sahar Ahmad, Dong Nie, Fan Yang, Lei Xiang, Qian Wang, Dinggang Shen
Task Decomposition and Synchronization for Semantic Biomedical Image Segmentation. CoRR (2019)
Longwei Fang, Lichi Zhang, Dong Nie, Xiaohuan Cao, Islem Rekik, Seong-Whan Lee, Huiguang He, Dinggang Shen
Automatic brain labeling via multi-atlas guided fully convolutional networks. Medical Image Anal. 51 (2019)
Li Wang, Gang Li, Feng Shi, Xiaohuan Cao, Chunfeng Lian, Dong Nie, Mingxia Liu, Han Zhang, Guannan Li, Zhengwang Wu, Weili Lin, Dinggang Shen
Volume-Based Analysis of 6-Month-Old Infant Brain MRI for Autism Biomarker Identification and Early Diagnosis. MICCAI (3) (2018)
Jiawei Chen, Han Zhang, Dong Nie, Li Wang, Gang Li, Weili Lin, Dinggang Shen
Automatic Accurate Infant Cerebellar Tissue Segmentation with Densely Connected Convolutional Network. MLMI@MICCAI (2018)
Miaoyun Zhao, Li Wang, Jiawei Chen, Dong Nie, Yulai Cong, Sahar Ahmad, Angela Ho, Peng Yuan, Steve H. Fung, Hannah H. Deng, James J. Xia, Dinggang Shen
Craniomaxillofacial Bony Structures Segmentation from MRI with Deep-Supervision Adversarial Learning. MICCAI (4) (2018)
Dong Nie, Roger Trullo, Jun Lian, Li Wang, Caroline Petitjean, Su Ruan, Qian Wang, Dinggang Shen
Medical Image Synthesis with Deep Convolutional Adversarial Networks. IEEE Trans. Biomed. Eng. 65 (12) (2018)
Sihang Zhou, Dong Nie, Ehsan Adeli, Yaozong Gao, Li Wang, Jianping Yin, Dinggang Shen
Fine-Grained Segmentation Using Hierarchical Dilated Neural Networks. MICCAI (4) (2018)
Lei Xiang, Qian Wang, Dong Nie, Lichi Zhang, Xiyao Jin, Yu Qiao, Dinggang Shen
Deep embedding convolutional neural network for synthesizing CT image from T1-Weighted MR image. Medical Image Anal. 47 (2018)
Zishun Feng, Dong Nie, Li Wang, Dinggang Shen
Semi-supervised learning for pelvic MR image segmentation based on multi-task residual fully convolutional networks. ISBI (2018)
Mingxia Liu, Jun Zhang, Dong Nie, Pew-Thian Yap, Dinggang Shen
Anatomical Landmark Based Deep Feature Representation for MR Images in Brain Disease Diagnosis. IEEE J. Biomed. Health Informatics 22 (5) (2018)
Dong Nie, Yaozong Gao, Li Wang, Dinggang Shen
ASDNet: Attention Based Semi-supervised Deep Networks for Medical Image Segmentation. MICCAI (4) (2018)
Roger Trullo, Caroline Petitjean, Dong Nie, Dinggang Shen, Su Ruan
Fully automated esophagus segmentation with a hierarchical deep learning approach. ICSIPA (2017)
Longwei Fang, Lichi Zhang, Dong Nie, Xiaohuan Cao, Khosro Bahrami, Huiguang He, Dinggang Shen
Brain Image Labeling Using Multi-atlas Guided 3D Fully Convolutional Networks. Patch-MI@MICCAI (2017)
Xiaohuan Cao, Jianhua Yang, Jun Zhang, Dong Nie, Minjeong Kim, Qian Wang, Dinggang Shen
Deformable Image Registration Based on Similarity-Steered CNN Regression. MICCAI (1) (2017)
Roger Trullo, Caroline Petitjean, Su Ruan, Bernard Dubray, Dong Nie, Dinggang Shen
Segmentation of Organs at Risk in thoracic CT images using a SharpMask architecture and Conditional Random Fields. ISBI (2017)
Weizi Li, Dong Nie, David Wilkie, Ming C. Lin
Citywide Estimation of Traffic Dynamics via Sparse GPS Traces. IEEE Intell. Transp. Syst. Mag. 9 (3) (2017)
Lei Xiang, Qian Wang, Dong Nie, Yu Qiao, Dinggang Shen
Deep Embedding Convolutional Neural Network for Synthesizing CT Image from T1-Weighted MR Image. CoRR (2017)
Roger Trullo, Caroline Petitjean, Dong Nie, Dinggang Shen, Su Ruan
Joint Segmentation of Multiple Thoracic Organs in CT Images with Two Collaborative Deep Architectures. DLMIA/ML-CDS@MICCAI (2017)
Dong Nie, Roger Trullo, Jun Lian, Caroline Petitjean, Su Ruan, Qian Wang, Dinggang Shen
Medical Image Synthesis with Context-Aware Generative Adversarial Networks. MICCAI (3) (2017)
Lei Xiang, Yu Qiao, Dong Nie, Le An, Weili Lin, Qian Wang, Dinggang Shen
Deep auto-context convolutional neural networks for standard-dose PET image estimation from low-dose PET/MRI. Neurocomputing 267 (2017)
Dong Nie, Li Wang, Roger Trullo, Jianfu Li, Peng Yuan, James J. Xia, Dinggang Shen
Segmentation of Craniomaxillofacial Bony Structures from MRI with a 3D Deep-Learning Based Cascade Framework. MLMI@MICCAI (2017)
Dong Nie, Li Wang, Yaozong Gao, Dinggang Shen
Fully convolutional networks for multi-modality isointense infant brain image segmentation. ISBI (2016)
Dong Nie, Xiaohuan Cao, Yaozong Gao, Li Wang, Dinggang Shen
Estimating CT Image from MRI Data Using 3D Fully Convolutional Networks. LABELS/DLMIA@MICCAI (2016)
Dong Nie, Han Zhang, Ehsan Adeli, Luyan Liu, Dinggang Shen
3D Deep Learning for Multi-modal Imaging-Guided Survival Time Prediction of Brain Tumor Patients. MICCAI (2) (2016)
Dong Nie, Roger Trullo, Caroline Petitjean, Su Ruan, Dinggang Shen
Medical Image Synthesis with Context-Aware Generative Adversarial Networks. CoRR (2016)
Dong Nie, Zheng Yan, Nan Zhao, Tingshao Zhu
A Pilot Study of Comparing Social Network Behaviors between Onlies and Others. Int. J. Cyber Behav. Psychol. Learn. 5 (3) (2015)
Dong Nie, Elizabeth A. Shank, Vladimir Jojic
A deep framework for bacterial image segmentation and classification. BCB (2015)
Zengda Guan, Dong Nie, Bibo Hao, Shuotian Bai, Tingshao Zhu
Local Regression Transfer Learning for Users' Personality Prediction. AMT (2014)
Dong Nie, Bibo Hao, Zheng Yan, Tingshao Zhu
Cyber Behavior of Microblog Users: Onlies Versus Others. CoRR (2014)
Xiaoqian Liu, Dong Nie, Shuotian Bai, Bibo Hao, Tingshao Zhu
Personality Prediction for Microblog Users with Active Learning Method. HCC (2014)
Dong Nie, Zengda Guan, Bibo Hao, Shuotian Bai, Tingshao Zhu
Predicting Personality on Social Media with Semi-supervised Learning. WI-IAT (1) (2014)
Dong Nie, Ang Li, Zengda Guan, Tingshao Zhu
Your Search Behavior and Your Personality. ICPCA/SWS (2013)
Dong Nie, Lingzi Hong, Tingshao Zhu
Movie Recommendation Using Unrated Data. ICMLA (1) (2013)
Dong Nie, Lin Li, Tingshao Zhu
Conscientiousness Measurement from Weibo's Public Information. PSL (2013)
Dong Nie, Yue Ning, Tingshao Zhu
Predicting Mental Health Status in the Context of Web Browsing. Web Intelligence/IAT Workshops (2012)