百晓学者学者目录

聂东

副教授、教授，肇庆学院

精选作品

期刊论文

2026

XR交互信息赋能案例实训场景化数字化转型设计与应用

杨栋，聂东

《中国信息化》

2026

基于XR技术的护理案例数字场景化教学模式构建

杨栋，聂东

《数字技术与应用》

2026

Clinical artificial intelligence applications of vision-language foundation models

A. Thirunavukarasu, Si-You Li, Pengyao Qin, Dong Nie, R. Sanghera, Ernest Lim, Juntao Yu, Le Zhang

PLOS Digital Health

DOI

2026

A Knowledge-Guided Bi-Modal Network for the Classification of Anterior Chamber Angle Images

Xi-Ping Jia, Jing Huang, Dong Nie, Li-Na Guan, Jian-Ying Qiu

IEEE journal of biomedical and health informatics

DOI

2025

Iterative Foundation-Dedicated Learning: Optimized Key Frames, Prompts and Memories for Semi-supervised Segmentation

Ziman Yin, Dong Nie, Shuo Li, Junjun Pan, Zhenyu Tang

International Conference on Medical Image Computing and Computer-Assisted Intervention

DOI

2025

ROP lesion segmentation via sequence coding and block balancing

Xi-Ping Jia, Jian-Ying Qiu, Dong Nie, Tian Liu

Medical Image Anal.

DOI

2025

μ2Tokenizer: Differentiable Multi-Scale Multi-Modal Tokenizer for Radiology Report Generation

Si-You Li, Pengyao Qin, Huanan Wu, Dong Nie, A. Thirunavukarasu, Juntao Yu, Le Zhang

International Conference on Medical Image Computing and Computer-Assisted Intervention

DOI

2025

Multi‐sequence brain tumor segmentation boosted by deep semantic features

Ziman Yin, Zhengze Ni, Yuxiang Ren, Dong Nie, Zhenyu Tang

Medical Physics (Lancaster)

DOI

2024

Multimodal Brain Tumor Segmentation Boosted by Monomodal Normal Brain Images

Huabing Liu, Zhengze Ni, Dong Nie, Ding-Gang Shen, Jin-Da Wang, Zhenyu Tang

IEEE Transactions on Image Processing

DOI

2024

WSSADN: A Weakly Supervised Spherical Age-Disentanglement Network for Detecting Developmental Disorders with Structural MRI

Pengcheng Xue, Dong Nie, Mei-Jiao Zhu, Ming Yang, Han Zhang, Dao-Qiang Zhang, Xu-Yun Wen

International Conference on Medical Image Computing and Computer-Assisted Intervention

DOI

2024

Structure-Aware Brain Tissue Segmentation for Isointense Infant MRI Data Using Multi-Phase Multi-Scale Assistance Network

Jiameng Liu, Fei-Hong Liu, Dong Nie, Yuning Gu, Yuhang Sun, Ding-Gang Shen

IEEE journal of biomedical and health informatics

DOI

2024

ViT3D Alignment of LLaMA3: 3D Medical Image Report Generation

Siyou Li, Beining Xu, Yihao Luo, Dong Nie, Le Zhang

arXiv.org

DOI

2023

A New Multi-Atlas Based Deep Learning Segmentation Framework With Differentiable Atlas Feature Warping

Huabing Liu, Dong Nie, Jian Yang, Jin-Da Wang, Zhenyu Tang

IEEE journal of biomedical and health informatics

DOI

2023

Semi-Supervised Standard-Dose PET Image Generation via Region-Adaptive Normalization and Structural Consistency Constraint

Cai-Wen Jiang, Yongsheng Pan, Zhi-Ming Cui, Dong Nie, Dinggang Shen

IEEE Transactions on Medical Imaging

DOI

2023

TransDose: Transformer-based radiotherapy dose prediction from CT images guided by super-pixel-level GCN classification

Zhengyang Jiao, Xingchen Peng, Yan Wang, Jiang-Hong Xiao, Dong Nie, Xi Wu, Xin Wang, Ji-Liu Zhou, D. Shen

Medical Image Anal.

DOI

2023

Multi-Target Domain Adaptation with Prompt Learning for Medical Image Segmentation

Yili Lin, Dong Nie, Yu-Ting Liu, Ming Yang, Dao-Qiang Zhang, Xu-Yun Wen

International Conference on Medical Image Computing and Computer-Assisted Intervention

DOI

2022

基于聚类算法的低压电网分段线损智能识别方法

孙胜博，聂东，陈曦，田园

《电网与清洁能源》

2022

Explainable attention guided adversarial deep network for 3D radiotherapy dose distribution prediction

Huidong Li, Xingchen Peng, Jie Zeng, Jiang-Hong Xiao, Dong Nie, Chen Zu, Xi Wu, Ji-Liu Zhou, Yan Wang

Knowledge-Based Systems

DOI

2022

EDDIE-Transformer: Enriched Disease Embedding Transformer for X-Ray Report Generation

Hoang T. N. Nguyen, Dong Nie, Taivanbat Badamdorj, Yujie Liu, Ling-Zi Hong, J. Truong, Li Cheng

IEEE International Symposium on Biomedical Imaging

DOI

2022

Weakly-supervised Metric Learning with Cross-Module Communications for the Classification of Anterior Chamber Angle Images

Jing Huang, Yue Ning, Dong Nie, Lina Guan, Xi-Ping Jia

Computer Vision and Pattern Recognition

DOI

2022

Unified medical image segmentation by learning from uncertainty in an end-to-end manner

Pin Tang, Pinli Yang, Dong Nie, Xi Wu, Ji-Liu Zhou, Yan Wang

Knowledge-Based Systems

DOI

2022

Semantic instance segmentation with discriminative deep supervision for medical images

Si-Hang Zhou, Dong Nie, E. Adeli, Qian Wei, Xuhua Ren, Xin-Wang Liu, En Zhu, Jian-Ping Yin, Qian Wang, D. Shen

Medical Image Anal.

DOI

2022

Fast Multi-Contrast MRI Acquisition by Optimal Sampling of Information Complementary to Pre-Acquired MRI Contrast

Junwei Yang, Xiao-Xin Li, Fei-Hong Liu, Dong Nie, Pietro Lio', H. Qi, Dinggang Shen

IEEE Transactions on Medical Imaging

DOI

2022

An Efficient Semi-Supervised Framework with Multi-Task and Curriculum Learning for Medical Image Segmentation

Kaiping Wang, Yan Wang, Bo Zhan, Yujie Yang, Chen Zu, Xi Wu, Ji-Liu Zhou, Dong Nie, Luping Zhou

International Journal of Neural Systems

DOI

2021

SMILE: Sparse-Attention based Multiple Instance Contrastive Learning for Glioma Sub-Type Classification Using Pathological Images

Mengkang Lu, Yongsheng Pan, Dong Nie, Fei-Hong Liu, Feng Shi, Yong Xia, D. Shen

COMPAY@MICCAI

2021

Automated Generation of Accurate & Fluent Medical X-ray Reports

Hoang T. N. Nguyen, Dong Nie, Taivanbat Badamdorj, Yu-Jie Liu, Yingying Zhu, J. Truong, Li Cheng

Conference on Empirical Methods in Natural Language Processing

DOI

2021

Synthetic Digital Reconstructed Radiographs for MR-only Robotic Stereotactic Radiation Therapy: A Proof of Concept

Gregory Szalkowski, Dong Nie, T. Zhu, P. Yap, J. Lian

Comput. Biol. Medicine

DOI

2021

Edge-preserving MRI image synthesis via adversarial network with iterative multi-scale fusion

Yanmei Luo, Dong Nie, Bo Zhan, Zhiang Li, Xi Wu, Ji-Liu Zhou, Yan Wang, D. Shen

Neurocomputing

DOI

2020

物联网技术在智慧校园建设中的应用

聂东，张伟东

《福建电脑》

DOI

2020

计算机网络基础“课程思政”改革探索

聂东，丁久荣，张伟东

《产业与科技论坛》

2020

关于高校校园网安全技术的探讨

聂东

《信息记录材料》

DOI

2020

Adversarial Confidence Learning for Medical Image Segmentation and Synthesis

Dong Nie, D. Shen

International Journal of Computer Vision

DOI

2020

Multi-scale Hierarchy Feature Fusion Generative Adversarial Network for Low-Dose CT Denoising

Ying Bai, Hai-Feng Zhao, Shaojie Zhang, Dong Nie, Zhenyu Tang

International Conference on Bioinformatics and Biomedical Science

DOI

2020

Multi-View Spatial Aggregation Framework for Joint Localization and Segmentation of Organs at Risk in Head and Neck CT Images

Shu-Jun Liang, K. Thung, Dong Nie, Yu Zhang, D. Shen

IEEE Transactions on Medical Imaging

DOI

2020

Corrections to "Medical Image Synthesis With Deep Convolutional Adversarial Networks"

Dong Nie, Roger Trullo, J. Lian, Li Wang, Caroline Petitjean, S. Ruan, Qian Wang, D. Shen

IEEE Transactions on Biomedical Engineering

DOI

2020

HF-UNet: Learning Hierarchically Inter-Task Relevance in Multi-Task U-Net for Accurate Prostate Segmentation in CT Images

Ke-Lei He, Chunfeng Lian, Bing-Bin Zhang, Xin Zhang, Xiaohuan Cao, Dong Nie, Yang Gao, Jun-Feng Zhang, D. Shen

IEEE Transactions on Medical Imaging

DOI

2020

CT Male Pelvic Organ Segmentation via Hybrid Loss Network with Incomplete Annotation

Shuai Wang, Dong Nie, Liangqiong Qu, Y. Shao, J. Lian, Qian Wang, D. Shen

IEEE Transactions on Medical Imaging

DOI

2019

基于组态模式的喷泉电路测试控制系统

聂东，陈佩钦，马嘉懿

《数字通信世界》

2019

One-Shot Generative Adversarial Learning for MRI Segmentation of Craniomaxillofacial Bony Structures

Xu Chen, J. Xia, D. Shen, Chunfeng Lian, Li Wang, Hannah H. Deng, S. Fung, Dong Nie, K. Thung, P. Yap, J. Gateno

IEEE Transactions on Medical Imaging

DOI

2019

Automatic brain labeling via multi‐atlas guided fully convolutional networks☆

Long-Wei Fang, Li-Chi Zhang, Dong Nie, Xiaohuan Cao, I. Rekik, Seong-Whan Lee, Hui-Guang He, D. Shen

Medical Image Anal.

DOI

2019

Multi-Channel 3D Deep Feature Learning for Survival Time Prediction of Brain Tumor Patients Using Multi-Modal Neuroimages

Dong Nie, Junfeng Lu, Han Zhang, E. Adeli, Jun Wang, Zhengda Yu, Luyan Liu, Qian Wang, Jinsong Wu, D. Shen

Scientific Reports

DOI

2019

Benchmark on Automatic 6-month-old Infant Brain Segmentation Algorithms: The iSeg-2017 Challenge

Li Wang, Dong Nie, Guan-Nan Li, É. Puybareau, J. Dolz, Qian Zhang, Fan Wang, Jing Xia, Zheng-Wang Wu, Jiawei Chen, K. Thung, T. Bui, Jitae Shin, G. Zeng, Guoyan Zheng, Vladimir S Fonov, Andrew Doyle, Yong-Chao Xu, P. Moeskops, J. Pluim, Christian Desrosiers, I. Ben Ayed, G. Sanromá, O. Benkarim, Adrià Casamitjana, Verónica Vilaplana, Wei-Li Lin, Gang Li, D. Shen

IEEE Transactions on Medical Imaging

DOI

2019

High-Resolution Encoder–Decoder Networks for Low-Contrast Medical Image Segmentation

Si-Hang Zhou, Dong Nie, E. Adeli, Jian-Ping Yin, J. Lian, D. Shen

IEEE Transactions on Image Processing

DOI

2019

CT Male Pelvic Organ Segmentation Using Fully Convolutional Networks with Boundary Sensitive Representation

Shuai Wang, Ke-Lei He, Dong Nie, Si-Hang Zhou, Yao-Zong Gao, D. Shen

Medical Image Anal.

DOI

2019

Cascaded MultiTask 3-D Fully Convolutional Networks for Pancreas Segmentation

Jie Xue, Ke-Lei He, Dong Nie, E. Adeli, Zhen-Shan Shi, Seong-Whan Lee, Yuan-Jie Zheng, Xiyu Liu, Deng-Wang Li, D. Shen

IEEE Transactions on Cybernetics

DOI

2019

Dual Adversarial Learning with Attention Mechanism for Fine-grained Medical Image Synthesis

Dong Nie, Lei Xiang, Qian Wang, D. Shen

arXiv.org

2019

Task Decomposition and Synchronization for Semantic Biomedical Image Segmentation

Xuhua Ren, Sahar Ahmad, Li-Chi Zhang, Lei Xiang, Dong Nie, Fan Yang, Qian Wang, D. Shen

IEEE Transactions on Image Processing

DOI

2019

Harmonization and Targeted Feature Dropout for Generalized Segmentation: Application to Multi-site Traumatic Brain Injury Images

Yilin Liu, Gregory R. Kirk, Brendon M. Nacewicz, M. Styner, Mingren Shen, Dong Nie, N. Adluru, Benjamin Yeske, Peter A. Ferrazzano, A. Alexander

DART/MIL3ID@MICCAI

DOI

2019

Semantic-guided Encoder Feature Learning for Blurry Boundary Delineation

Dong Nie, D. Shen

arXiv.org

2019

Difficulty-Aware Attention Network with Confidence Learning for Medical Image Segmentation

Dong Nie, Li Wang, Lei Xiang, Si-Hang Zhou, E. Adeli, D. Shen

AAAI Conference on Artificial Intelligence

DOI

2019

Hierarchical Representation For Ct Prostate Segmentation

Shuai Wang, Ke-Lei He, Dong Nie, Si-Hang Zhou, Yao-Zong Gao, D. Shen

IEEE International Symposium on Biomedical Imaging

DOI

2019

RCA-U-Net: Residual Channel Attention U-Net for Fast Tissue Quantification in Magnetic Resonance Fingerprinting

Zhenghan Fang, Yong Chen, Dong Nie, Wei-Li Lin, D. Shen

International Conference on Medical Image Computing and Computer-Assisted Intervention

DOI

2018

Automatic Accurate Infant Cerebellar Tissue Segmentation with Densely Connected Convolutional Network

Jiawei Chen, Han Zhang, Dong Nie, Li Wang, Gang Li, Wei-Li Lin, D. Shen

MLMI@MICCAI

DOI

2018

Anatomical Landmark Based Deep Feature Representation for MR Images in Brain Disease Diagnosis

Mingxia Liu, Jun Zhang, Dong Nie, P. Yap, D. Shen

IEEE journal of biomedical and health informatics

DOI

2018

Pelvic Organ Segmentation Using Distinctive Curve Guided Fully Convolutional Networks.

Ke-Lei He, Xiaohuan Cao, Ying-Huan Shi, Dong Nie, Yang Gao, Ding-Gang Shen

IEEE Transactions on Medical Imaging

DOI

2018

Medical Image Synthesis with Deep Convolutional Adversarial Networks

Dong Nie, Roger Trullo, J. Lian, Li Wang, Caroline Petitjean, S. Ruan, Qian Wang, D. Shen

IEEE Transactions on Biomedical Engineering

DOI

2018

Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge

S. Bakas, M. Reyes, A. Jakab, S. Bauer, M. Rempfler, Alessandro Crimi, R. Shinohara, Christoph Berger, Min-Ha Sung, M. Rozycki, M. Prastawa, Esther Alberts, Jana Lipková, J. Freymann, J. Kirby, M. Bilello, H. Fathallah-Shaykh, R. Wiest, J. Kirschke, Benedikt Wiestler, R. Colen, A. Kotrotsou, P. LaMontagne, Daniel S. Marcus, Mikhail Milchenko, A. Nazeri, Marc-André Weber, A. Mahajan, U. Baid, Elizabeth R. Gerstner, Dongjin Kwon, Gagan Acharya, M. Agarwal, Mahbubul Alam, A. Albiol, A. Albiol, Francisco Albiol, Varghese Alex, N. Allinson, Pedro H. A. Amorim, Abhijit Amrutkar, G. Anand, Simon Andermatt, T. Arbel, P. Arbeláez, Aaron Avery, Muneeza Azmat, B. Pranjal, Wen-Jia Bai, Subhashis Banerjee, Bill Barth, Thomas Batchelder, K. Batmanghelich, E. Battistella, Andrew L. Beers, M. Belyaev, M. Bendszus, E. Benson, J. Bernal, H. N. Bharath, G. Biros, Sotirios Bisdas, James M. Brown, M. Cabezas, Shi-Lei Cao, Jorge Cardoso, E. Carver, Adrià Casamitjana, L. S. Castillo, Marcel Catà, P. Cattin, Albert Cerigues, Vinicius S. Chagas, Siddhartha Chandra, Yi-Ju Chang, Shi-Yu Chang, Ken Chang, J. Chazalon, Sheng-Cong Chen, Wei Chen, Jefferson W. Chen, Zhao-Ling Chen, Kun Cheng, A. Choudhury, R. Chylla, Albert Clérigues, Steven Colleman, R. R. Colmeiro, M. Combalia, A. Costa, Xiao-Meng Cui, Z. Dai, Lu-Tao Dai, L. Daza, É. Deutsch, C. Ding, C. Dong, Shi-Du Dong, Wojciech Dudzik, Z. Eaton-Rosen, Gary F. Egan, G. Escudero, T. Estienne, R. Everson, Jonathan Fabrizio, Yong Fan, Long-Wei Fang, Xue Feng, Enzo Ferrante, Lucas Fidon, Martin Fischer, A. French, Naomi Fridman, Huan Fu, David Fuentes, Yao-Zong Gao, E. Gates, D. Gering, A. Gholami, W. Gierke, Ben Glocker, Ming-Ming Gong, Sandra González-Villà, T. Grosges, Y. Guan, Sheng Guo, Sudeep Gupta, W. Han, I. Han, Konstantin Harmuth, Hui-Guang He, Aura Hernández-Sabaté, E. Herrmann, N. Himthani, Winston H. Hsu, Che-Yu Hsu, Xiao-Jun Hu, Xiao-Bin Hu, Yan Hu, Yi-Fan Hu, Rui Hua, Teng-Yi Huang, Wei-Lin Huang, S. Van Huffel, Quan Huo, Vivek Hv, K. Iftekharuddin, F. Isensee, Mobarak Islam Hoque, Aaron S. Jackson, S. Jambawalikar, A. Jesson, Wei-Jian Jian, Peter H. Jin, Jeya Maria Jose Valanarasu, Alain Jungo, B. Kainz, K. Kamnitsas, Po-Yu Kao, Ayush Karnawat, Thomas Kellermeier, A. Kermi, K. Keutzer, M. T. Khadir, Mahendra Khened, P. Kickingereder, Geena Kim, N. King, H. Knapp, U. Knecht, Lisa Kohli, De-Ren Kong, Xiang-Mao Kong, Simon Koppers, Avinash Kori, Ganapathy Krishnamurthi, Egor Krivov, Piyush Kumar, Kaisar Kushibar, Dmitrii A. Lachinov, T. Lambrou, Joon Lee, Chen Lee, Yueh Lee, Matthew C. H. Lee, Szidónia Lefkovits, László Lefkovits, James J. Levitt, Tengfei Li, Hong-Wei Li, Wen-Qi Li, Hong-Yang Li, Xiao-Chuan Li, Yue-Xiang Li, Heng Li, Zhen-Ye Li, Xiao-Yun Li, Ze-Jun Li, Xiao-Gang Li, Zheng-Sheng Lin, Fengming Lin, Pietro Lio', Chang Liu, Boqiang Liu, Xiang Liu, Ming-Yuan Liu, Ju Liu, Luyan Liu, Xavier Lladó, Marc Moreno Lopez, P. R. Lorenzo, Zhentai Lu, Lin Luo, Zhi-Gang Luo, Jun Ma, Kai Ma, T. Mackie, Anant Madabushi, I. Mahmoudi, Klaus H. Maier-Hein, Pradipta Maji, C. Mammen, A. Mang, B. S. Manjunath, Michal Marcinkiewicz, Steven McDonagh, S. McKenna, Richard McKinley, M. Mehl, Sachin Mehta, Raghav Mehta, Raphael Meier, Christoph Meinel, D. Merhof, Craig H. Meyer, Robert W. Miller, S. Mitra, A. Moiyadi, D. Molina-García, Miguel Monteiro, Grzegorz Mrukwa, Andriy Myronenko, J. Nalepa, Thuyen Ngo, Dong Nie, H. Ning, Chen Niu, Nicholas Nuechterlein, E. Oermann, Arlindo L. Oliveira, D. D. Oliveira, A. Oliver, A. Osman, Yue Ou, S. Ourselin, N. Paragios, Moo Sung Park, B. Paschke, J. Pauloski, K. Pawar, Nick Pawlowski, Linmin Pei, Su-Ting Peng, Silvio M. Pereira, J. Pérez-Beteta, Víctor M. Pérez-García, S. Pezold, B. Pham, Ashish Phophalia, G. Piella, G. N. Pillai, M. Piraud, M. Pisov, A. Popli, Michael P. Pound, R. Pourreza, P. Prasanna, Vesna Prkovska, T. Pridmore, Santi Puch, É. Puybareau, B. Qian, Xue-Wen Qiao, Martin Rajchl, S. Rane, Michael Rebsamen, Hong-Liang Ren, Xuhua Ren, Karthik Revanuru, Mina Rezaei, Oliver Rippel, L. C. Rivera, C. Robert, Bruce R. Rosen, D. Rueckert, Mohammed Safwan, Mostafa Salem, Joaquim Salvi, Irina Sánchez, H. Santos, E. Sartor, D. Schellingerhout, Klaudius Scheufele, Matthew R. Scott, A. A. Scussel, Sara Sedlar, J. Serrano-Rubio, N. Shah, N. Shah, M. Shaikh, B. Shankar, Zeina A. Shboul, Hai-Peng Shen, Ding-Gang Shen, Lin-Lin Shen, Haocheng Shen, Varun Shenoy, F. Shi, Hyung-Ik Shin, Hai Shu, D. Sima, Matthew Sinclair, Ö. Smedby, James M. Snyder, Mohammadreza Soltaninejad, Gui-Dong Song, Mehul N. Soni, J. Stawiaski, Shashank Subramanian, Li Sun, R. Sun, Jia-Wei Sun, K. Sun, Yu Sun, Guo-Xiang Sun, Shuang Sun, Yannick Suter, L. Szilágyi, S. Talbar, Da-Cheng Tao, Zhong-Zhao Teng, Siddhesh P. Thakur, M. Thakur, Sameer Tharakan, P. Tiwari, G. Tochon, T. Tran, Y. M. Tsai, Kuan-Lun Tseng, T. Tran, V. Turlapov, N. Tustison, Maria Vakalopoulou, S. Valverde, Rami S. Vanguri, E. Vasiliev, Jonathan Ventura, Luis Vera, Tom Kamiel Magda Vercauteren, C. Verrastro, L. Vidyaratne, Verónica Vilaplana, A. Vivekanandan, Guo-Tai Wang, Qian Wang, Chia-Tse J. Wang, Wei-Chung Wang, Duo Wang, Rui-Xuan Wang, Yuan-Yuan Wang, Chun-Liang Wang, N. Wen, Xin Wen, Leon Weninger, W. Wick, Shao-Cheng Wu, Qiang Wu, Yi-Hong Wu, Yong Xia, Yan-Wu Xu, Xiao-Wen Xu, Pei-Yuan Xu, Tsai-Ling Yang, Xiao-Ping Yang, Hao-Yu Yang, Jun-L. Yang, Hao-Jin Yang, Guang Yang, Hongdou Yao, Xu-Jiong Ye, Chang Yin, Brett Young-Moxon, Jin-Hua Yu, Xiang Yue, Song-Tao Zhang, Angela Zhang, Kun Zhang, Xue-Jie Zhang, Lichi Zhang, Xiao-Yue Zhang, Ya-Zhuo Zhang, Lei Zhang, Jian-Guo Zhang, Xiang Zhang, Tian-Hao Zhang, Si-Cheng Zhao, Yu Zhao, Xiao-Mei Zhao, Liang Zhao, Ye-Feng Zheng, L. Zhong, Chenhong Zhou, Xiao-Bing Zhou, Fan Zhou, Hong-Tu Zhu, Jin Zhu, Y. Zhuge, Weiwei Zong, Jayashree Kalpathy-Cramer, K. Farahani, C. Davatzikos, K. Van Leemput, Bjoern H Menze

arXiv.org

DOI

2018

Fine-Grained Segmentation Using Hierarchical Dilated Neural Networks

Si-Hang Zhou, Dong Nie, E. Adeli, Yao-Zong Gao, Li Wang, Jian-Ping Yin, D. Shen

International Conference on Medical Image Computing and Computer-Assisted Intervention

DOI

2018

Interleaved 3D-CNNs for Joint Segmentation of Small-Volume Structures in Head and Neck CT Images

Xuhua Ren, Lei Xiang, Dong Nie, Y. Shao, Huan Zhang, D. Shen, Qian Wang

Medical Physics (Lancaster)

DOI

2018

Craniomaxillofacial Bony Structures Segmentation from MRI with Deep-Supervision Adversarial Learning

Miaoyun Zhao, Li Wang, Jiawei Chen, Dong Nie, Yulai Cong, Sahar Ahmad, Angela Ho, P. Yuan, S. Fung, Hannah H. Deng, J. Xia, D. Shen

International Conference on Medical Image Computing and Computer-Assisted Intervention

DOI

2018

3-D Fully Convolutional Networks for Multimodal Isointense Infant Brain Image Segmentation

Dong Nie, Li Wang, E. Adeli, Cuijin Lao, Wei-Li Lin, D. Shen

IEEE Transactions on Cybernetics

DOI

2018

SEMI-SUPERVISED LEARNING FOR PELVIC MR IMAGE SEGMENTATION BASED ON MULTI-TASK RESIDUAL FULLY CONVOLUTIONAL NETWORKS

Zishun Feng, Dong Nie, Li Wang, D. Shen

IEEE International Symposium on Biomedical Imaging

DOI

2018

Volume-Based Analysis of 6-Month-Old Infant Brain MRI for Autism Biomarker Identification and Early Diagnosis

Li Wang, Gang Li, Feng Shi, Xiaohuan Cao, Chunfeng Lian, Dong Nie, Mingxia Liu, Han Zhang, Guan-Nan Li, Zheng-Wang Wu, Wei-Li Lin, D. Shen

International Conference on Medical Image Computing and Computer-Assisted Intervention

DOI

2018

ASDNet: Attention Based Semi-supervised Deep Networks for Medical Image Segmentation

Dong Nie, Yao-Zong Gao, Li Wang, D. Shen

International Conference on Medical Image Computing and Computer-Assisted Intervention

DOI

2018

STRAINet: Spatially-varying sTochastic Residual AdversarIal Networks for MRI Pelvic Organ Segmentation

Dong Nie, Li Wang, Yao-Zong Gao, J. Lian, D. Shen

IEEE Transactions on Neural Networks and Learning Systems

DOI

2018

Pelvic Organ Segmentation with Sample Attention based Stochastic Connection Networks

Dong Nie, Li Wang, J. Lian, D. Shen

Proceedings of the International Society for Magnetic Resonance in Medicine ... Scientific Meeting and Exhibition. International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition

2017

SEGMENTATION OF ORGANS AT RISK IN THORACIC CT IMAGES USING A SHARPMASK ARCHITECTURE AND CONDITIONAL RANDOM FIELDS

Roger Trullo, Caroline Petitjean, S. Ruan, B. Dubray, Dong Nie, D. Shen

IEEE International Symposium on Biomedical Imaging

DOI

2017

Deep embedding convolutional neural network for synthesizing CT image from T1-Weighted MR image

Lei Xiang, Qian Wang, Dong Nie, Li-Chi Zhang, Xi-Yao Jin, Y. Qiao, D. Shen

Medical Image Anal.

DOI

2017

Brain Image Labeling Using Multi-atlas Guided 3D Fully Convolutional Networks

Long-Wei Fang, Li-Chi Zhang, Dong Nie, Xiaohuan Cao, Khosro Bahrami, Hui-Guang He, D. Shen

Patch-MI@MICCAI

DOI

2017

Fully automated esophagus segmentation with a hierarchical deep learning approach

Roger Trullo, Caroline Petitjean, Dong Nie, D. Shen, S. Ruan

International Conference on Signal and Image Processing Applications

DOI

2017

Segmentation of Craniomaxillofacial Bony Structures from MRI with a 3D Deep-Learning Based Cascade Framework

Dong Nie, Li Wang, Roger Trullo, Jianfu Li, P. Yuan, J. Xia, D. Shen

MLMI@MICCAI

DOI

2017

Multi-Task Diagnosis for Autism Spectrum Disorders Using Multi-Modality Features: A Multi-Center Study

Jun Wang, Qian Wang, Jialin Peng, Dong Nie, Feng Zhao, Minjeong Kim, Han Zhang, Chong-Yaw Wee, Shitong Wang, D. Shen

Human Brain Mapping

DOI

2017

Joint Segmentation of Multiple Thoracic Organs in CT Images with Two Collaborative Deep Architectures

Roger Trullo, Caroline Petitjean, Dong Nie, D. Shen, S. Ruan

DLMIA/ML-CDS@MICCAI

DOI

2017

Deep Auto-context Convolutional Neural Networks for Standard-Dose PET Image Estimation from Low-Dose PET/MRI

Lei Xiang, Y. Qiao, Dong Nie, Le An, Wei-Li Lin, Qian Wang, D. Shen

Neurocomputing

DOI

2017

Deformable Image Registration based on Similarity-Steered CNN Regression

Xiaohuan Cao, Jian-Hua Yang, Jun Zhang, Dong Nie, Minjeong Kim, Qian Wang, D. Shen

International Conference on Medical Image Computing and Computer-Assisted Intervention

DOI

2016

FULLY CONVOLUTIONAL NETWORKS FOR MULTI-MODALITY ISOINTENSE INFANT BRAIN IMAGE SEGMENTATION

Dong Nie, Li Wang, Yao-Zong Gao, D. Shen

IEEE International Symposium on Biomedical Imaging

DOI

2016

3D Deep Learning for Multi-modal Imaging-Guided Survival Time Prediction of Brain Tumor Patients

Dong Nie, Han Zhang, E. Adeli, Luyan Liu, D. Shen

International Conference on Medical Image Computing and Computer-Assisted Intervention

DOI

2016

Estimating CT Image from MRI Data Using 3D Fully Convolutional Networks

Dong Nie, Xiaohuan Cao, Yao-Zong Gao, Li Wang, D. Shen

LABELS/DLMIA@MICCAI

DOI

2016

Medical Image Synthesis with Context-Aware Generative Adversarial Networks

Dong Nie, Roger Trullo, J. Lian, Caroline Petitjean, S. Ruan, Qian Wang, D. Shen

International Conference on Medical Image Computing and Computer-Assisted Intervention

DOI

2014

高职应用电子专业课程开发的探索

聂东

《中小企业管理与科技(中旬刊)》

2013

模板修正的超宽带定时抖动抑制方法

陈英俊，吴海涛，聂东

《计算机仿真》

2011

基于DCT与改进分块2DPCA算法的人脸识别

路翀，乎西旦，尼亚孜别克，聂东

《数智技术研究与应用》

2008

网络化集中控制照明系统智能监控器设计

李广才，陈英俊，聂东

《电力自动化设备》

2008

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李广才，聂东

《现代电子技术》

2008

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《肇庆学院学报》

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