| 2025 | ICASSP | Cross-Template-Based Hypergraph Transformer. | Jingxi Feng, Xiangmin Han, Heming Xu, Juan Wang, Jue Jiang, Shaoyi Du, Yue Gao |
| 2023 | MICCAI | 3D Swin Transformer for Partial Medical Auto Segmentation. | Aneesh Rangnekar, Jue Jiang, Harini Veeraraghavan |
| 2022 | MICCAI | Self-supervised 3D Anatomy Segmentation Using Self-distilled Masked Image Transformer (SMIT). | Jue Jiang, Neelam Tyagi, Kathryn Tringale, Christopher Crane, Harini Veeraraghavan |
| 2020 | MICCAI | Unified Cross-Modality Feature Disentangler for Unsupervised Multi-domain MRI Abdomen Organs Segmentation. | Jue Jiang, Harini Veeraraghavan |
| 2020 | MICCAI | Longitudinal Prediction of Radiation-Induced Anatomical Changes of Parotid Glands During Radiotherapy Using Deep Learning. | Donghoon Lee, Sadegh R. Alam, Saad Nadeem, Jue Jiang, Pengpeng Zhang, Yu-Chi Hu |
| 2019 | MICCAI | Integrating Cross-modality Hallucinated MRI with CT to Aid Mediastinal Lung Tumor Segmentation. | Jue Jiang, Jason Hu, Neelam Tyagi, Andreas Rimner, Sean L. Berry, Joseph O. Deasy, Harini Veeraraghavan |
| 2018 | ICIP | Crowd Counting with Fully Convolutional Neural Network. | Ming Liu, Yang Liu, Jue Jiang, Zhenwei Guo, Zenan Wang |
| 2018 | MICCAI | Tumor-Aware, Adversarial Domain Adaptation from CT to MRI for Lung Cancer Segmentation. | Jue Jiang, Yu-Chi Hu, Neelam Tyagi, Pengpeng Zhang, Andreas Rimner, Gig S. Mageras, Joseph O. Deasy, Harini Veeraraghavan |
| 2016 | IGARSS | Hyperspectral image supervised classification via multi-view nuclear norm based 2D PCA feature extraction and kernel ELM. | Jue Jiang, Lili Huang, Heng Li, Liang Xiao |