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2020 – today
- 2024
[j12]Zenan Wang
, Ming Liu, Jue Jiang, Xiaolei Qu:
Colorectal polyp segmentation with denoising diffusion probabilistic models. Comput. Biol. Medicine 180: 108981 (2024)- [j11]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: 102430 (2024) - [j10]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): 916-927 (2024) - [i19]Aneesh Rangnekar, Nishant Nadkarni, Jue Jiang, Harini Veeraraghavan:
Trustworthiness of Pretrained Transformers for Lung Cancer Segmentation. CoRR abs/2403.13113 (2024) - [i18]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 abs/2403.14250 (2024) - [i17]Jue Jiang, Aneesh Rangnekar, Harini Veeraraghavan:
Self-supervised learning improves robustness of deep learning lung tumor segmentation to CT imaging differences. CoRR abs/2405.08657 (2024) - [i16]Jue Jiang, Chloe Min Seo Choi, Maria Thor, Joseph O. Deasy, Harini Veeraraghavan:
Tumor aware recurrent inter-patient deformable image registration of computed tomography scans with lung cancer. CoRR abs/2409.11910 (2024) - 2023
- [c9]Aneesh Rangnekar, Jue Jiang, Harini Veeraraghavan:
3D Swin Transformer for Partial Medical Auto Segmentation. FLARE@MICCAI 2023: 222-235 - [i15]Jue Jiang, Harini Veeraraghavan:
Self-distilled Masked Attention guided masked image modeling with noise Regularized Teacher (SMART) for medical image analysis. CoRR abs/2310.01209 (2023) - 2022
- [j9]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): 1057-1068 (2022) - [j8]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): 2021-2032 (2022) - [c8]Jue Jiang, Rongheng Lin, Hua Zou:
Power Domain Named Entity Recognition Based on Rules and Dictionaries. ICCT 2022: 1898-1902 - [c7]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: 556-566 - [i14]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 abs/2201.11000 (2022) - [i13]Jue Jiang, Neelam Tyagi, Kathryn Tringale, Christopher Crane, Harini Veeraraghavan:
Self-supervised 3D anatomy segmentation using self-distilled masked image transformer (SMIT). CoRR abs/2205.10342 (2022) - [i12]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 abs/2210.14297 (2022) - 2021
- [i11]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 abs/2102.08556 (2021) - [i10]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 abs/2102.13541 (2021) - [i9]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 abs/2106.09076 (2021) - [i8]Jue Jiang, Andreas Rimner, Joseph O. Deasy, Harini Veeraraghavan:
Unpaired cross-modality educed distillation (CMEDL) applied to CT lung tumor segmentation. CoRR abs/2107.07985 (2021) - 2020
- [j7]Haodong Pan, Jue Jiang, Guangfeng Chen:
TDFSSD: Top-Down Feature Fusion Single Shot MultiBox Detector. Signal Process. Image Commun. 89: 115987 (2020) - [j6]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): 4071-4084 (2020) - [c6]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: 123-132 - [c5]Jue Jiang, Harini Veeraraghavan:
Unified Cross-Modality Feature Disentangler for Unsupervised Multi-domain MRI Abdomen Organs Segmentation. MICCAI (2) 2020: 347-358 - [i7]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 abs/2005.13690 (2020) - [i6]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 abs/2007.09465 (2020) - [i5]Jue Jiang, Harini Veeraraghavan:
Unified cross-modality feature disentangler for unsupervised multi-domain MRI abdomen organs segmentation. CoRR abs/2007.09669 (2020)
2010 – 2019
- 2019
- [j5]Ming Liu, Jue Jiang, Zenan Wang:
Colonic Polyp Detection in Endoscopic Videos With Single Shot Detection Based Deep Convolutional Neural Network. IEEE Access 7: 75058-75066 (2019) - [j4]Haodong Pan, Guangfeng Chen, Jue Jiang:
Adaptively Dense Feature Pyramid Network for Object Detection. IEEE Access 7: 81132-81144 (2019) - [j3]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): 134-144 (2019) - [c4]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: 221-229 - [i4]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 abs/1901.11369 (2019) - [i3]Peter Klages, Ilyes Benslimane, Sadegh Riyahi, Jue Jiang, Margie Hunt, Joseph O. 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 abs/1902.00536 (2019) - [i2]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 abs/1909.04542 (2019) - [i1]Jue Jiang, Elguindi Sharif, Hyemin Um, Sean Berry, Harini Veeraraghavan:
Local block-wise self attention for normal organ segmentation. CoRR abs/1909.05054 (2019) - 2018
- [c3]Ming Liu, Yang Liu, Jue Jiang, Zhenwei Guo, Zenan Wang:
Crowd Counting with Fully Convolutional Neural Network. ICIP 2018: 953-957 - [c2]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: 777-785 - 2016
- [j2]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): 1687-1701 (2016) - [c1]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: 1496-1499 - 2010
- [j1]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): 1789-1793 (2010)
Coauthor Index
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