Jue Jiang

53 papers B 1C 1Misc 1Journal 41Unranked 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
A segment anything model for transesophageal echocardiography based on bidirectional spatiotemporal context fusion.
Inf. Fusion
Minghao Wang, Shaoyi Du, Juan Wang, Hongcheng Han, Huanhuan Huo, Dong Zhang, Shanshan Yu, Jue Jiang
2026 J jnl
MHub.ai: A Simple, Standardized, and Reproducible Platform for AI Models in Medical Imaging.
CoRR
Leonard Nürnberg, Dennis Bontempi, Suraj Pai, Curtis Lisle, Steven D. Pieper, Ron Kikinis, Sil van de Leemput, Rahul Soni, Gowtham Murugesan, Cosmin Ciausu, Miriam Groeneveld, Felix J. Dorfner, Jue Jiang, Aneesh Rangnekar, Harini Veeraraghavan, Joeran S. Bosma, Keno K. Bressem, Raymond H. Mak, Andrey Fedorov, Hugo J. W. L. Aerts
2026 J jnl
Multi-level graph self-supervised learning for multi-modal medical corpus construction.
Pattern Recognit.
Yuping Lin, Jingxi Feng, Xudong Chen, Rundong Xue, Jue Jiang, Zhiqiang Tian, Juan Wang
2026 J jnl
SCADA: Sparse cross attention for domain adaptive semantic segmentation.
Neural Networks
Qizhe Fan, Xiaoqin Shen, Yuanbo Chen, Shihui Ying, Jue Jiang, Juan Wang, Shaoyi Du
2026 J jnl
Topology-aware multi-view hypergraph computation-based cross-modal brain network fusion for brain disease diagnosis.
Inf. Fusion
Jingxi Feng, Shaoyi Du, Heming Xu, Rundong Xue, Xiangmin Han, Dong Zhang, Jue Jiang, Yue Gao, Juan Wang
2025 — conf
Benchmarking Transferability of Self-Supervised Pretraining for Multi-Organ Segmentation on Different Modalities.
ISBI
Jue Jiang, Harini Veeraraghavan
2025 Misc conf
Cross-Template-Based Hypergraph Transformer.
ICASSP
Jingxi Feng, Xiangmin Han, Heming Xu, Juan Wang, Jue Jiang, Shaoyi Du, Yue Gao
2025 J jnl
DCATNet: polyp segmentation with deformable convolution and contextual-aware attention network.
BMC Medical Imaging
Zenan Wang, Tianshu Li, Ming Liu, Jue Jiang, Xinjuan Liu
2025 J jnl
HSC-T: B-Ultrasound-to-Elastography Translation via Hierarchical Structural Consistency Learning for Thyroid Cancer Diagnosis.
IEEE J. Biomed. Health Informatics
Hongcheng Han, Zhiqiang Tian, Qinbo Guo, Jue Jiang, Shaoyi Du, Juan Wang
2025 J jnl
Large language model trained on clinical oncology data predicts cancer progression.
npj Digit. Medicine
Menglei Zhu, Hui Lin, Jue Jiang, Abbas J. Jinia, Justin Jee, Karl Pichotta, Michele Waters, Doori Rose, Nikolaus Schultz, Sulov Chalise, Lohit Valleru, Olivier Morin, Jean Moran, Joseph O. Deasy, Shirin Pilai, Chelsea Nichols, Gregory Riely, Lior Z. Braunstein, Anyi Li
2025 J jnl
Modality-agnostic, patient-specific digital twins modeling temporally varying digestive motion.
CoRR
Jorge Tapias Gomez, Nishant Nadkarni, Lando S. Bosma, Jue Jiang, Ergys D. Subashi, William P. Segars, James M. Balter, Mert R. Sabuncu, Neelam Tyagi, Harini Veeraraghavan
2025 J jnl
Segmentation Regularized Training for Multi-Domain Deep Learning Registration applied to MR-Guided Prostate Cancer Radiotherapy.
CoRR
Sudharsan Madhavan, Chengcheng Gui, Lando Bosma, Josiah Simeth, Jue Jiang, Nicolas Cote, Nima Hassan Rezaeian, Himanshu Nagar, Victoria Brennan, Neelam Tyagi, Harini Veeraraghavan
2024 J jnl
Colorectal polyp segmentation with denoising diffusion probabilistic models.
Comput. Biol. Medicine
Zenan Wang, Ming Liu, Jue Jiang, Xiaolei Qu
2024 J jnl
EH-former: Regional easy-hard-aware transformer for breast lesion segmentation in ultrasound images.
Inf. Fusion
Xiaolei Qu, Jiale Zhou, Jue Jiang, Wenhan Wang, Haoran Wang, Shuai Wang, Wenzhong Tang, Xun Lin
2024 J jnl
Safeguarding Medical Image Segmentation Datasets against Unauthorized Training via Contour- and Texture-Aware Perturbations.
CoRR
Xun Lin, Yi Yu, Song Xia, Jue Jiang, Haoran Wang, Zitong Yu, Yizhong Liu, Ying Fu, Shuai Wang, Wenzhong Tang, Alex C. Kot
2024 J jnl
Self-supervised learning improves robustness of deep learning lung tumor segmentation to CT imaging differences.
CoRR
Jue Jiang, Aneesh Rangnekar, Harini Veeraraghavan
2024 — conf
Self-supervised pretraining in the wild imparts image acquisition robustness to medical image transformers: an application to lung cancer segmentation.
MIDL
Jue Jiang, Harini Veeraraghavan
2024 J jnl
Trustworthiness of Pretrained Transformers for Lung Cancer Segmentation.
CoRR
Aneesh Rangnekar, Nishant Nadkarni, Jue Jiang, Harini Veeraraghavan
2024 J jnl
Tumor aware recurrent inter-patient deformable image registration of computed tomography scans with lung cancer.
CoRR
Jue Jiang, Chloe Min Seo Choi, Maria Thor, Joseph O. Deasy, Harini Veeraraghavan
2024 J jnl
Wasserstein HOG: Local Directionality Extraction via Optimal Transport.
IEEE Trans. Medical Imaging
Jiening Zhu, Harini Veeraraghavan, Jue Jiang, Jung Hun Oh, Larry Norton, Joseph O. Deasy, Allen R. Tannenbaum
2023 — conf
3D Swin Transformer for Partial Medical Auto Segmentation.
FLARE@MICCAI
Aneesh Rangnekar, Jue Jiang, Harini Veeraraghavan
2023 J jnl
Self-distilled Masked Attention guided masked image modeling with noise Regularized Teacher (SMART) for medical image analysis.
CoRR
Jue Jiang, Harini Veeraraghavan
2022 J jnl
One Shot PACS: Patient Specific Anatomic Context and Shape Prior Aware Recurrent Registration-Segmentation of Longitudinal Thoracic Cone Beam CTs.
IEEE Trans. Medical Imaging
Jue Jiang, Harini Veeraraghavan
2022 J jnl
One shot PACS: Patient specific Anatomic Context and Shape prior aware recurrent registration-segmentation of longitudinal thoracic cone beam CTs.
CoRR
Jue Jiang, Harini Veeraraghavan
2022 — conf
Power Domain Named Entity Recognition Based on Rules and Dictionaries.
ICCT
Jue Jiang, Rongheng Lin, Hua Zou
2022 J jnl
Progressively refined deep joint registration segmentation (ProRSeg) of gastrointestinal organs at risk: Application to MRI and cone-beam CT.
CoRR
Jue Jiang, Jun Hong, Kathryn Tringale, Marsha Reyngold, Christopher Crane, Neelam Tyagi, Harini Veeraraghavan
2022 — conf
Self-supervised 3D Anatomy Segmentation Using Self-distilled Masked Image Transformer (SMIT).
MICCAI (4)
Jue Jiang, Neelam Tyagi, Kathryn Tringale, Christopher Crane, Harini Veeraraghavan
2022 J jnl
Self-supervised 3D anatomy segmentation using self-distilled masked image transformer (SMIT).
CoRR
Jue Jiang, Neelam Tyagi, Kathryn Tringale, Christopher Crane, Harini Veeraraghavan
2022 J jnl
Unpaired Cross-Modality Educed Distillation (CMEDL) for Medical Image Segmentation.
IEEE Trans. Medical Imaging
Jue Jiang, Andreas Rimner, Joseph O. Deasy, Harini Veeraraghavan
2021 J jnl
Deep cross-modality (MR-CT) educed distillation learning for cone beam CT lung tumor segmentation.
CoRR
Jue Jiang, Sadegh Riyahi Alam, Ishita Chen, Perry Zhang, Andreas Rimner, Joseph O. Deasy, Harini Veeraraghavan
2021 J jnl
Deformation Driven Seq2Seq Longitudinal Tumor and Organs-at-Risk Prediction for Radiotherapy.
CoRR
Donghoon Lee, Sadegh R. Alam, Jue Jiang, Pengpeng Zhang, Saad Nadeem, Yu-Chi Hu
2021 J jnl
Nested-block self-attention for robust radiotherapy planning segmentation.
CoRR
Harini Veeraraghavan, Jue Jiang, Elguindi Sharif, Sean L. Berry, Ifeanyirochukwu Onochie, Aditya P. Apte, Laura Cervino, Joseph O. Deasy
2021 J jnl
Unpaired cross-modality educed distillation (CMEDL) applied to CT lung tumor segmentation.
CoRR
Jue Jiang, Andreas Rimner, Joseph O. Deasy, Harini Veeraraghavan
2020 — conf
Longitudinal Prediction of Radiation-Induced Anatomical Changes of Parotid Glands During Radiotherapy Using Deep Learning.
PRIME@MICCAI
Donghoon Lee, Sadegh R. Alam, Saad Nadeem, Jue Jiang, Pengpeng Zhang, Yu-Chi Hu
2020 J jnl
Multiple resolution residual network for automatic thoracic organs-at-risk segmentation from CT.
CoRR
Hyemin Um, Jue Jiang, Maria Thor, Andreas Rimner, Leo Luo, Joseph O. Deasy, Harini Veeraraghavan
2020 J jnl
PSIGAN: Joint Probabilistic Segmentation and Image Distribution Matching for Unpaired Cross-Modality Adaptation-Based MRI Segmentation.
IEEE Trans. Medical Imaging
Jue Jiang, Yu-Chi Hu, Neelam Tyagi, Andreas Rimner, Nancy Lee, Joseph O. Deasy, Sean Berry, Harini Veeraraghavan
2020 J jnl
PSIGAN: Joint probabilistic segmentation and image distribution matching for unpaired cross-modality adaptation based MRI segmentation.
CoRR
Jue Jiang, Yu-Chi Hu, Neelam Tyagi, Andreas Rimner, Nancy Lee, Joseph O. Deasy, Sean Berry, Harini Veeraraghavan
2020 J jnl
TDFSSD: Top-Down Feature Fusion Single Shot MultiBox Detector.
Signal Process. Image Commun.
Haodong Pan, Jue Jiang, Guangfeng Chen
2020 — conf
Unified Cross-Modality Feature Disentangler for Unsupervised Multi-domain MRI Abdomen Organs Segmentation.
MICCAI (2)
Jue Jiang, Harini Veeraraghavan
2020 J jnl
Unified cross-modality feature disentangler for unsupervised multi-domain MRI abdomen organs segmentation.
CoRR
Jue Jiang, Harini Veeraraghavan
2019 J jnl
Adaptively Dense Feature Pyramid Network for Object Detection.
IEEE Access
Haodong Pan, Guangfeng Chen, Jue Jiang
2019 J jnl
Colonic Polyp Detection in Endoscopic Videos With Single Shot Detection Based Deep Convolutional Neural Network.
IEEE Access
Ming Liu, Jue Jiang, Zenan Wang
2019 J jnl
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
Peter Klages, Ilyes Benslimane, Sadegh Riyahi, Jue Jiang, Margie Hunt, Joseph O. Deasy, Harini Veeraraghavan, Neelam Tyagi
2019 J jnl
Cross-modality (CT-MRI) prior augmented deep learning for robust lung tumor segmentation from small MR datasets.
CoRR
Jue Jiang, Yu-Chi Hu, Neelam Tyagi, Pengpeng Zhang, Andreas Rimner, Joseph O. Deasy, Harini Veeraraghavan
2019 — conf
Integrating Cross-modality Hallucinated MRI with CT to Aid Mediastinal Lung Tumor Segmentation.
MICCAI (6)
Jue Jiang, Jason Hu, Neelam Tyagi, Andreas Rimner, Sean L. Berry, Joseph O. Deasy, Harini Veeraraghavan
2019 J jnl
Integrating cross-modality hallucinated MRI with CT to aid mediastinal lung tumor segmentation.
CoRR
Jue Jiang, Jason Hu, Neelam Tyagi, Andreas Rimner, Sean L. Berry, Joseph O. Deasy, Harini Veeraraghavan
2019 J jnl
Local block-wise self attention for normal organ segmentation.
CoRR
Jue Jiang, Elguindi Sharif, Hyemin Um, Sean Berry, Harini Veeraraghavan
2019 J jnl
Multiple Resolution Residually Connected Feature Streams for Automatic Lung Tumor Segmentation From CT Images.
IEEE Trans. Medical Imaging
Jue Jiang, Yu-Chi Hu, Chia-Ju Liu, Darragh Halpenny, Matthew D. Hellmann, Joseph O. Deasy, Gig S. Mageras, Harini Veeraraghavan
2018 B conf
Crowd Counting with Fully Convolutional Neural Network.
ICIP
Ming Liu, Yang Liu, Jue Jiang, Zhenwei Guo, Zenan Wang
2018 — conf
Tumor-Aware, Adversarial Domain Adaptation from CT to MRI for Lung Cancer Segmentation.
MICCAI (2)
Jue Jiang, Yu-Chi Hu, Neelam Tyagi, Pengpeng Zhang, Andreas Rimner, Gig S. Mageras, Joseph O. Deasy, Harini Veeraraghavan
2016 C conf
Hyperspectral image supervised classification via multi-view nuclear norm based 2D PCA feature extraction and kernel ELM.
IGARSS
Jue Jiang, Lili Huang, Heng Li, Liang Xiao
2016 J jnl
Marker-less tracking of brain surface deformations by non-rigid registration integrating surface and vessel/sulci features.
Int. J. Comput. Assist. Radiol. Surg.
Jue Jiang, Yoshikazu Nakajima, Yoshio Sohma, Toki Saito, Taichi Kin, Hiroshi Oyama, Nobuhito Saito
2010 J jnl
Skin color enhancement based on favorite skin color in HSV color space.
IEEE Trans. Consumer Electron.
Xiao-Ning Zhang, Jue Jiang, Zhi-Hu Liang, Chun-Liang Liu