Dong Nie
Orcid: 0000-0003-0385-8988
According to our database1,
Dong Nie
authored at least 82 papers
between 2012 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
IEEE Trans. Knowl. Data Eng., April, 2024
A New Multi-Atlas Based Deep Learning Segmentation Framework With Differentiable Atlas Feature Warping.
IEEE J. Biomed. Health Informatics, March, 2024
IEEE Trans. Image Process., 2024
2023
Semi-Supervised Standard-Dose PET Image Generation via Region-Adaptive Normalization and Structural Consistency Constraint.
IEEE Trans. Medical Imaging, October, 2023
TransDose: Transformer-based radiotherapy dose prediction from CT images guided by super-pixel-level GCN classification.
Medical Image Anal., October, 2023
Fast Multi-Contrast MRI Acquisition by Optimal Sampling of Information Complementary to Pre-Acquired MRI Contrast.
IEEE Trans. Medical Imaging, May, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
The Devil is in the Upsampling: Architectural Decisions Made Simpler for Denoising with Deep Image Prior.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
2022
Semantic instance segmentation with discriminative deep supervision for medical images.
Medical Image Anal., 2022
Unified medical image segmentation by learning from uncertainty in an end-to-end manner.
Knowl. Based Syst., 2022
Explainable attention guided adversarial deep network for 3D radiotherapy dose distribution prediction.
Knowl. Based Syst., 2022
An Efficient Semi-Supervised Framework with Multi-Task and Curriculum Learning for Medical Image Segmentation.
Int. J. Neural Syst., 2022
EDDIE-Transformer: Enriched Disease Embedding Transformer for X-Ray Report Generation.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
Doubly-Fused ViT: Fuse Information from Vision Transformer Doubly with Local Representation.
Proceedings of the Computer Vision - ECCV 2022, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Weakly-supervised Metric Learning with Cross-Module Communications for the Classification of Anterior Chamber Angle Images.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
2021
HF-UNet: Learning Hierarchically Inter-Task Relevance in Multi-Task U-Net for Accurate Prostate Segmentation in CT Images.
IEEE Trans. Medical Imaging, 2021
IEEE Trans. Cybern., 2021
Edge-preserving MRI image synthesis via adversarial network with iterative multi-scale fusion.
Neurocomputing, 2021
Fast T2w/FLAIR MRI Acquisition by Optimal Sampling of Information Complementary to Pre-acquired T1w MRI.
CoRR, 2021
Synthetic digital reconstructed radiographs for MR-only robotic stereotactic radiation therapy: A proof of concept.
Comput. Biol. Medicine, 2021
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
SMILE: Sparse-Attention based Multiple Instance Contrastive Learning for Glioma Sub-Type Classification Using Pathological Images.
Proceedings of the MICCAI Workshop on Computational Pathology, 2021
2020
CT Male Pelvic Organ Segmentation via Hybrid Loss Network With Incomplete Annotation.
IEEE Trans. Medical Imaging, 2020
Multi-View Spatial Aggregation Framework for Joint Localization and Segmentation of Organs at Risk in Head and Neck CT Images.
IEEE Trans. Medical Imaging, 2020
One-Shot Generative Adversarial Learning for MRI Segmentation of Craniomaxillofacial Bony Structures.
IEEE Trans. Medical Imaging, 2020
High-Resolution Encoder-Decoder Networks for Low-Contrast Medical Image Segmentation.
IEEE Trans. Image Process., 2020
IEEE Trans. Image Process., 2020
Corrections to "Medical Image Synthesis With Deep Convolutional Adversarial Networks".
IEEE Trans. Biomed. Eng., 2020
Int. J. Comput. Vis., 2020
HF-UNet: Learning Hierarchically Inter-Task Relevance in Multi-Task U-Net for Accurate Prostate Segmentation.
CoRR, 2020
Research on Circular Area Search algorithm of multi-robot service based on SOA cloud platform.
Appl. Soft Comput., 2020
Multi-scale Hierarchy Feature Fusion Generative Adversarial Network for Low-Dose CT Denoising.
Proceedings of the 9th International Conference on Bioinformatics and Biomedical Science, 2020
Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Blurry Boundary Delineation and Adversarial Confidence Learning for Medical Image Analysis.
PhD thesis, 2019
STRAINet: Spatially Varying sTochastic Residual AdversarIal Networks for MRI Pelvic Organ Segmentation.
IEEE Trans. Neural Networks Learn. Syst., 2019
Benchmark on Automatic Six-Month-Old Infant Brain Segmentation Algorithms: The iSeg-2017 Challenge.
IEEE Trans. Medical Imaging, 2019
Pelvic Organ Segmentation Using Distinctive Curve Guided Fully Convolutional Networks.
IEEE Trans. Medical Imaging, 2019
3-D Fully Convolutional Networks for Multimodal Isointense Infant Brain Image Segmentation.
IEEE Trans. Cybern., 2019
CT male pelvic organ segmentation using fully convolutional networks with boundary sensitive representation.
Medical Image Anal., 2019
Medical Image Anal., 2019
Dual Adversarial Learning with Attention Mechanism for Fine-grained Medical Image Synthesis.
CoRR, 2019
Harmonization and Targeted Feature Dropout for Generalized Segmentation: Application to Multi-site Traumatic Brain Injury Images.
Proceedings of the Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data, 2019
RCA-U-Net: Residual Channel Attention U-Net for Fast Tissue Quantification in Magnetic Resonance Fingerprinting.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Difficulty-Aware Attention Network with Confidence Learning for Medical Image Segmentation.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Anatomical Landmark Based Deep Feature Representation for MR Images in Brain Disease Diagnosis.
IEEE J. Biomed. Health Informatics, 2018
IEEE Trans. Biomed. Eng., 2018
Deep embedding convolutional neural network for synthesizing CT image from T1-Weighted MR image.
Medical Image Anal., 2018
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Craniomaxillofacial Bony Structures Segmentation from MRI with Deep-Supervision Adversarial Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Volume-Based Analysis of 6-Month-Old Infant Brain MRI for Autism Biomarker Identification and Early Diagnosis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
ASDNet: Attention Based Semi-supervised Deep Networks for Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Automatic Accurate Infant Cerebellar Tissue Segmentation with Densely Connected Convolutional Network.
Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 2018
Semi-supervised learning for pelvic MR image segmentation based on multi-task residual fully convolutional networks.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
2017
IEEE Intell. Transp. Syst. Mag., 2017
Deep auto-context convolutional neural networks for standard-dose PET image estimation from low-dose PET/MRI.
Neurocomputing, 2017
Deep Embedding Convolutional Neural Network for Synthesizing CT Image from T1-Weighted MR Image.
CoRR, 2017
Joint Segmentation of Multiple Thoracic Organs in CT Images with Two Collaborative Deep Architectures.
Proceedings of the Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support, 2017
Segmentation of Craniomaxillofacial Bony Structures from MRI with a 3D Deep-Learning Based Cascade Framework.
Proceedings of the Machine Learning in Medical Imaging - 8th International Workshop, 2017
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Proceedings of the Patch-Based Techniques in Medical Imaging, 2017
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Segmentation of Organs at Risk in thoracic CT images using a SharpMask architecture and Conditional Random Fields.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
Proceedings of the 2017 IEEE International Conference on Signal and Image Processing Applications, 2017
2016
CoRR, 2016
3D Deep Learning for Multi-modal Imaging-Guided Survival Time Prediction of Brain Tumor Patients.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
Proceedings of the Deep Learning and Data Labeling for Medical Applications, 2016
Fully convolutional networks for multi-modality isointense infant brain image segmentation.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
2015
Int. J. Cyber Behav. Psychol. Learn., 2015
Proceedings of the 6th ACM Conference on Bioinformatics, 2015
2014
Proceedings of the 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT), Warsaw, Poland, August 11-14, 2014, 2014
Proceedings of the Human Centered Computing - First International Conference, 2014
Proceedings of the Active Media Technology - 10th International Conference, 2014
2013
Proceedings of the Partially Supervised Learning - Second IAPR International Workshop, 2013
Proceedings of the Pervasive Computing and the Networked World, 2013
Proceedings of the 12th International Conference on Machine Learning and Applications, 2013
2012
Proceedings of the 2012 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology, 2012