Jue Jiang

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 38

Top Topics

Medical Image Segmentation

Tumor Segmentation

Top Venues

IEEE Trans. Medical Imaging

Publications

Aneesh Rangnekar, Nishant Nadkarni, Jue Jiang, Harini Veeraraghavan
Trustworthiness of Pretrained Transformers for Lung Cancer Segmentation. CoRR (2024)
Xiaolei Qu, Jiale Zhou, Jue Jiang, Wenhan Wang, Haoran Wang, Shuai Wang, Wenzhong Tang, Xun Lin
EH-former: Regional easy-hard-aware transformer for breast lesion segmentation in ultrasound images. Inf. Fusion 109 (2024)
Zenan Wang, Ming Liu, Jue Jiang, Xiaolei Qu
Colorectal polyp segmentation with denoising diffusion probabilistic models. Comput. Biol. Medicine 180 (2024)
Jue Jiang, Aneesh Rangnekar, Harini Veeraraghavan
Self-supervised learning improves robustness of deep learning lung tumor segmentation to CT imaging differences. CoRR (2024)
Xun Lin, Yi Yu, Song Xia, Jue Jiang, Haoran Wang, Zitong Yu, Yizhong Liu, Ying Fu, Shuai Wang, Wenzhong Tang, Alex C. Kot
Safeguarding Medical Image Segmentation Datasets against Unauthorized Training via Contour- and Texture-Aware Perturbations. CoRR (2024)
Jiening Zhu, Harini Veeraraghavan, Jue Jiang, Jung Hun Oh, Larry Norton, Joseph O. Deasy, Allen R. Tannenbaum
Wasserstein HOG: Local Directionality Extraction via Optimal Transport. IEEE Trans. Medical Imaging 43 (3) (2024)
Jue Jiang, Harini Veeraraghavan
Self-distilled Masked Attention guided masked image modeling with noise Regularized Teacher (SMART) for medical image analysis. CoRR (2023)
Aneesh Rangnekar, Jue Jiang, Harini Veeraraghavan
3D Swin Transformer for Partial Medical Auto Segmentation. FLARE@MICCAI (2023)
Jue Jiang, Neelam Tyagi, Kathryn Tringale, Christopher Crane, Harini Veeraraghavan
Self-supervised 3D Anatomy Segmentation Using Self-distilled Masked Image Transformer (SMIT). MICCAI (4) (2022)
Jue Jiang, Neelam Tyagi, Kathryn Tringale, Christopher Crane, Harini Veeraraghavan
Self-supervised 3D anatomy segmentation using self-distilled masked image transformer (SMIT). CoRR (2022)
Jue Jiang, Andreas Rimner, Joseph O. Deasy, Harini Veeraraghavan
Unpaired Cross-Modality Educed Distillation (CMEDL) for Medical Image Segmentation. IEEE Trans. Medical Imaging 41 (5) (2022)
Jue Jiang, Harini Veeraraghavan
One shot PACS: Patient specific Anatomic Context and Shape prior aware recurrent registration-segmentation of longitudinal thoracic cone beam CTs. CoRR (2022)
Jue Jiang, Harini Veeraraghavan
One Shot PACS: Patient Specific Anatomic Context and Shape Prior Aware Recurrent Registration-Segmentation of Longitudinal Thoracic Cone Beam CTs. IEEE Trans. Medical Imaging 41 (8) (2022)
Jue Jiang, Rongheng Lin, Hua Zou
Power Domain Named Entity Recognition Based on Rules and Dictionaries. ICCT (2022)
Jue Jiang, Jun Hong, Kathryn Tringale, Marsha Reyngold, Christopher Crane, Neelam Tyagi, Harini Veeraraghavan
Progressively refined deep joint registration segmentation (ProRSeg) of gastrointestinal organs at risk: Application to MRI and cone-beam CT. CoRR (2022)
Donghoon Lee, Sadegh R. Alam, Jue Jiang, Pengpeng Zhang, Saad Nadeem, Yu-Chi Hu
Deformation Driven Seq2Seq Longitudinal Tumor and Organs-at-Risk Prediction for Radiotherapy. CoRR (2021)
Harini Veeraraghavan, Jue Jiang, Elguindi Sharif, Sean L. Berry, Ifeanyirochukwu Onochie, Aditya P. Apte, Laura Cervino, Joseph O. Deasy
Nested-block self-attention for robust radiotherapy planning segmentation. CoRR (2021)
Jue Jiang, Andreas Rimner, Joseph O. Deasy, Harini Veeraraghavan
Unpaired cross-modality educed distillation (CMEDL) applied to CT lung tumor segmentation. CoRR (2021)
Jue Jiang, Sadegh Riyahi Alam, Ishita Chen, Perry Zhang, Andreas Rimner, Joseph O. Deasy, Harini Veeraraghavan
Deep cross-modality (MR-CT) educed distillation learning for cone beam CT lung tumor segmentation. CoRR (2021)
Haodong Pan, Jue Jiang, Guangfeng Chen
TDFSSD: Top-Down Feature Fusion Single Shot MultiBox Detector. Signal Process. Image Commun. 89 (2020)
Jue Jiang, Harini Veeraraghavan
Unified Cross-Modality Feature Disentangler for Unsupervised Multi-domain MRI Abdomen Organs Segmentation. MICCAI (2) (2020)
Jue Jiang, Yu-Chi Hu, Neelam Tyagi, Andreas Rimner, Nancy Lee, Joseph O. Deasy, Sean Berry, Harini Veeraraghavan
PSIGAN: Joint probabilistic segmentation and image distribution matching for unpaired cross-modality adaptation based MRI segmentation. CoRR (2020)
Jue Jiang, Harini Veeraraghavan
Unified cross-modality feature disentangler for unsupervised multi-domain MRI abdomen organs segmentation. CoRR (2020)
Donghoon Lee, Sadegh R. Alam, Saad Nadeem, Jue Jiang, Pengpeng Zhang, Yu-Chi Hu
Longitudinal Prediction of Radiation-Induced Anatomical Changes of Parotid Glands During Radiotherapy Using Deep Learning. PRIME@MICCAI (2020)
Hyemin Um, Jue Jiang, Maria Thor, Andreas Rimner, Leo Luo, Joseph O. Deasy, Harini Veeraraghavan
Multiple resolution residual network for automatic thoracic organs-at-risk segmentation from CT. CoRR (2020)
Jue Jiang, Yu-Chi Hu, Neelam Tyagi, Andreas Rimner, Nancy Lee, Joseph O. Deasy, Sean Berry, Harini Veeraraghavan
PSIGAN: Joint Probabilistic Segmentation and Image Distribution Matching for Unpaired Cross-Modality Adaptation-Based MRI Segmentation. IEEE Trans. Medical Imaging 39 (12) (2020)
Peter Klages, Ilyes Benslimane, Sadegh Riyahi, Jue Jiang, Margie Hunt, Joe Deasy, Harini Veeraraghavan, Neelam Tyagi
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)
Jue Jiang, Jason Hu, Neelam Tyagi, Andreas Rimner, Sean L. Berry, Joseph O. Deasy, Harini Veeraraghavan
Integrating cross-modality hallucinated MRI with CT to aid mediastinal lung tumor segmentation. CoRR (2019)
Jue Jiang, Yu-Chi Hu, Neelam Tyagi, Pengpeng Zhang, Andreas Rimner, Joseph O. Deasy, Harini Veeraraghavan
Cross-modality (CT-MRI) prior augmented deep learning for robust lung tumor segmentation from small MR datasets. CoRR (2019)
Jue Jiang, Elguindi Sharif, Hyemin Um, Sean Berry, Harini Veeraraghavan
Local block-wise self attention for normal organ segmentation. CoRR (2019)
Jue Jiang, Jason Hu, Neelam Tyagi, Andreas Rimner, Sean L. Berry, Joseph O. Deasy, Harini Veeraraghavan
Integrating Cross-modality Hallucinated MRI with CT to Aid Mediastinal Lung Tumor Segmentation. MICCAI (6) (2019)
Jue Jiang, Yu-Chi Hu, Chia-Ju Liu, Darragh Halpenny, Matthew D. Hellmann, Joseph O. Deasy, Gig S. Mageras, Harini Veeraraghavan
Multiple Resolution Residually Connected Feature Streams for Automatic Lung Tumor Segmentation From CT Images. IEEE Trans. Medical Imaging 38 (1) (2019)
Haodong Pan, Guangfeng Chen, Jue Jiang
Adaptively Dense Feature Pyramid Network for Object Detection. IEEE Access 7 (2019)
Ming Liu, Jue Jiang, Zenan Wang
Colonic Polyp Detection in Endoscopic Videos With Single Shot Detection Based Deep Convolutional Neural Network. IEEE Access 7 (2019)
Jue Jiang, Yu-Chi Hu, Neelam Tyagi, Pengpeng Zhang, Andreas Rimner, Gig S. Mageras, Joseph O. Deasy, Harini Veeraraghavan
Tumor-Aware, Adversarial Domain Adaptation from CT to MRI for Lung Cancer Segmentation. MICCAI (2) (2018)
Ming Liu, Yang Liu, Jue Jiang, Zhenwei Guo, Zenan Wang
Crowd Counting with Fully Convolutional Neural Network. ICIP (2018)
Jue Jiang, Lili Huang, Heng Li, Liang Xiao
Hyperspectral image supervised classification via multi-view nuclear norm based 2D PCA feature extraction and kernel ELM. IGARSS (2016)
Jue Jiang, Yoshikazu Nakajima, Yoshio Sohma, Toki Saito, Taichi Kin, Hiroshi Oyama, Nobuhito Saito
Marker-less tracking of brain surface deformations by non-rigid registration integrating surface and vessel/sulci features. Int. J. Comput. Assist. Radiol. Surg. 11 (9) (2016)
Xiao-Ning Zhang, Jue Jiang, Zhi-Hu Liang, Chun-Liang Liu
Skin color enhancement based on favorite skin color in HSV color space. IEEE Trans. Consumer Electron. 56 (3) (2010)