Jue Jiang
Orcid: 0000-0001-9642-3515
According to our database1,
Jue Jiang
authored at least 30 papers
between 2010 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
IEEE Trans. Medical Imaging, March, 2024
Safeguarding Medical Image Segmentation Datasets against Unauthorized Training via Contour- and Texture-Aware Perturbations.
CoRR, 2024
2023
Self-distilled Masked Attention guided masked image modeling with noise Regularized Teacher (SMART) for medical image analysis.
CoRR, 2023
2022
One Shot PACS: Patient Specific Anatomic Context and Shape Prior Aware Recurrent Registration-Segmentation of Longitudinal Thoracic Cone Beam CTs.
IEEE Trans. Medical Imaging, 2022
IEEE Trans. Medical Imaging, 2022
Progressively refined deep joint registration segmentation (ProRSeg) of gastrointestinal organs at risk: Application to MRI and cone-beam CT.
CoRR, 2022
Self-supervised 3D Anatomy Segmentation Using Self-distilled Masked Image Transformer (SMIT).
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Proceedings of the 22nd IEEE International Conference on Communication Technology, 2022
2021
Unpaired cross-modality educed distillation (CMEDL) applied to CT lung tumor segmentation.
CoRR, 2021
Deformation Driven Seq2Seq Longitudinal Tumor and Organs-at-Risk Prediction for Radiotherapy.
CoRR, 2021
CoRR, 2021
Deep cross-modality (MR-CT) educed distillation learning for cone beam CT lung tumor segmentation.
CoRR, 2021
2020
PSIGAN: Joint Probabilistic Segmentation and Image Distribution Matching for Unpaired Cross-Modality Adaptation-Based MRI Segmentation.
IEEE Trans. Medical Imaging, 2020
Signal Process. Image Commun., 2020
Multiple resolution residual network for automatic thoracic organs-at-risk segmentation from CT.
CoRR, 2020
Longitudinal Prediction of Radiation-Induced Anatomical Changes of Parotid Glands During Radiotherapy Using Deep Learning.
Proceedings of the Predictive Intelligence in Medicine - Third International Workshop, 2020
Unified Cross-Modality Feature Disentangler for Unsupervised Multi-domain MRI Abdomen Organs Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
2019
Multiple Resolution Residually Connected Feature Streams for Automatic Lung Tumor Segmentation From CT Images.
IEEE Trans. Medical Imaging, 2019
Comparison of Patch-Based Conditional Generative Adversarial Neural Net Models with Emphasis on Model Robustness for Use in Head and Neck Cases for MR-Only planning.
CoRR, 2019
Cross-modality (CT-MRI) prior augmented deep learning for robust lung tumor segmentation from small MR datasets.
CoRR, 2019
Colonic Polyp Detection in Endoscopic Videos With Single Shot Detection Based Deep Convolutional Neural Network.
IEEE Access, 2019
Integrating Cross-modality Hallucinated MRI with CT to Aid Mediastinal Lung Tumor Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
2018
Tumor-Aware, Adversarial Domain Adaptation from CT to MRI for Lung Cancer Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018
2016
Marker-less tracking of brain surface deformations by non-rigid registration integrating surface and vessel/sulci features.
Int. J. Comput. Assist. Radiol. Surg., 2016
Hyperspectral image supervised classification via multi-view nuclear norm based 2D PCA feature extraction and kernel ELM.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016
2010
IEEE Trans. Consumer Electron., 2010