Skin color enhancement based on favorite skin color in HSV color space. - Xiao-Ning Zhang; Jue Jiang; Zhi-Hu Liang; Chun-Liang Liu (IEEE Trans. Consumer Electron., 2010)

Hyperspectral image supervised classification via multi-view nuclear norm based 2D PCA feature extraction and kernel ELM. - Jue Jiang; Lili Huang; Heng Li 012; Liang Xiao 001 (IGARSS, 2016)

Marker-less tracking of brain surface deformations by non-rigid registration integrating surface and vessel/sulci features. - Jue Jiang; Yoshikazu Nakajima; Yoshio Sohma; Toki Saito; Taichi Kin; Hiroshi Oyama 001; Nobuhito Saito (Int. J. Comput. Assist. Radiol. Surg., 2016)

Crowd Counting with Fully Convolutional Neural Network. - Ming Liu; Yang Liu; Jue Jiang; Zhenwei Guo; Zenan Wang (ICIP, 2018)

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 (MICCAI (2), 2018)

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 (MICCAI (6), 2019)

Colonic Polyp Detection in Endoscopic Videos With Single Shot Detection Based Deep Convolutional Neural Network. - Ming Liu; Jue Jiang; Zenan Wang (IEEE Access, 2019)

Adaptively Dense Feature Pyramid Network for Object Detection. - Haodong Pan; Guangfeng Chen; Jue Jiang (IEEE Access, 2019)

Cross-modality (CT-MRI) prior augmented deep learning for robust lung tumor segmentation from small MR datasets. - Jue Jiang; Yu-Chi Hu; Neelam Tyagi; Pengpeng Zhang; Andreas Rimner; Joseph O. Deasy; Harini Veeraraghavan (CoRR, 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. - Peter Klages; Ilyes Benslimane; Sadegh Riyahi; Jue Jiang; Margie Hunt; Joseph O. Deasy; Harini Veeraraghavan; Neelam Tyagi (CoRR, 2019)

Local block-wise self attention for normal organ segmentation. - Jue Jiang; Elguindi Sharif; Hyemin Um; Sean Berry; Harini Veeraraghavan (CoRR, 2019)

Multiple Resolution Residually Connected Feature Streams for Automatic Lung Tumor Segmentation From CT Images. - Jue Jiang; Yu-Chi Hu; Chia-Ju Liu; Darragh Halpenny; Matthew D. Hellmann; Joseph O. Deasy; Gig S. Mageras; Harini Veeraraghavan (IEEE Trans. Medical Imaging, 2019)

Unified Cross-Modality Feature Disentangler for Unsupervised Multi-domain MRI Abdomen Organs Segmentation. - Jue Jiang; Harini Veeraraghavan (MICCAI (2), 2020)

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 (PRIME@MICCAI, 2020)

Multiple resolution residual network for automatic thoracic organs-at-risk segmentation from CT. - Hyemin Um; Jue Jiang; Maria Thor; Andreas Rimner; Leo Luo; Joseph O. Deasy; Harini Veeraraghavan (CoRR, 2020)

TDFSSD: Top-Down Feature Fusion Single Shot MultiBox Detector. - Haodong Pan; Jue Jiang; Guangfeng Chen (Signal Process. Image Commun., 2020)

PSIGAN: Joint Probabilistic Segmentation and Image Distribution Matching for Unpaired Cross-Modality Adaptation-Based MRI Segmentation. - Jue Jiang; Yu-Chi Hu; Neelam Tyagi; Andreas Rimner; Nancy Lee; Joseph O. Deasy; Sean Berry; Harini Veeraraghavan (IEEE Trans. Medical Imaging, 2020)

Deep cross-modality (MR-CT) educed distillation learning for cone beam CT lung tumor segmentation. - Jue Jiang; Sadegh Riyahi Alam; Ishita Chen; Perry Zhang; Andreas Rimner; Joseph O. Deasy; Harini Veeraraghavan (CoRR, 2021)

Nested-block self-attention for robust radiotherapy planning segmentation. - Harini Veeraraghavan; Jue Jiang; Elguindi Sharif; Sean L. Berry; Ifeanyirochukwu Onochie; Aditya P. Apte; Laura Cervino; Joseph O. Deasy (CoRR, 2021)

Deformation Driven Seq2Seq Longitudinal Tumor and Organs-at-Risk Prediction for Radiotherapy. - Donghoon Lee; Sadegh R. Alam; Jue Jiang; Pengpeng Zhang; Saad Nadeem; Yu-Chi Hu (CoRR, 2021)

Unpaired cross-modality educed distillation (CMEDL) applied to CT lung tumor segmentation. - Jue Jiang; Andreas Rimner; Joseph O. Deasy; Harini Veeraraghavan (CoRR, 2021)

Power Domain Named Entity Recognition Based on Rules and Dictionaries. - Jue Jiang; Rongheng Lin; Hua Zou (ICCT, 2022)

Self-supervised 3D Anatomy Segmentation Using Self-distilled Masked Image Transformer (SMIT). - Jue Jiang; Neelam Tyagi; Kathryn Tringale; Christopher Crane; Harini Veeraraghavan (MICCAI (4), 2022)

Progressively refined deep joint registration segmentation (ProRSeg) of gastrointestinal organs at risk: Application to MRI and cone-beam CT. - Jue Jiang; Jun Hong; Kathryn Tringale; Marsha Reyngold; Christopher Crane; Neelam Tyagi; Harini Veeraraghavan (CoRR, 2022)

Unpaired Cross-Modality Educed Distillation (CMEDL) for Medical Image Segmentation. - Jue Jiang; Andreas Rimner; Joseph O. Deasy; Harini Veeraraghavan (IEEE Trans. Medical Imaging, 2022)

One Shot PACS: Patient Specific Anatomic Context and Shape Prior Aware Recurrent Registration-Segmentation of Longitudinal Thoracic Cone Beam CTs. - Jue Jiang; Harini Veeraraghavan (IEEE Trans. Medical Imaging, 2022)

3D Swin Transformer for Partial Medical Auto Segmentation. - Aneesh Rangnekar; Jue Jiang; Harini Veeraraghavan (FLARE@MICCAI, 2023)

Self-distilled Masked Attention guided masked image modeling with noise Regularized Teacher (SMART) for medical image analysis. - Jue Jiang; Harini Veeraraghavan (CoRR, 2023)

Self-supervised pretraining in the wild imparts image acquisition robustness to medical image transformers: an application to lung cancer segmentation. - Jue Jiang; Harini Veeraraghavan (MIDL, 2024)

Colorectal polyp segmentation with denoising diffusion probabilistic models. - Zenan Wang; Ming Liu; Jue Jiang; Xiaolei Qu (Comput. Biol. Medicine, 2024)

Trustworthiness of Pretrained Transformers for Lung Cancer Segmentation. - Aneesh Rangnekar; Nishant Nadkarni; Jue Jiang; Harini Veeraraghavan (CoRR, 2024)

Safeguarding Medical Image Segmentation Datasets against Unauthorized Training via Contour- and Texture-Aware Perturbations. - Xun Lin; Yi Yu 011; Song Xia; Jue Jiang; Haoran Wang; Zitong Yu; Yizhong Liu; Ying Fu; Shuai Wang 049; Wenzhong Tang; Alex C. Kot (CoRR, 2024)

Self-supervised learning improves robustness of deep learning lung tumor segmentation to CT imaging differences. - Jue Jiang; Aneesh Rangnekar; Harini Veeraraghavan (CoRR, 2024)

Tumor aware recurrent inter-patient deformable image registration of computed tomography scans with lung cancer. - Jue Jiang; Chloe Min Seo Choi; Maria Thor; Joseph O. Deasy; Harini Veeraraghavan (CoRR, 2024)

EH-former: Regional easy-hard-aware transformer for breast lesion segmentation in ultrasound images. - Xiaolei Qu; Jiale Zhou; Jue Jiang; Wenhan Wang; Haoran Wang; Shuai Wang 049; Wenzhong Tang; Xun Lin (Inf. Fusion, 2024)

Wasserstein HOG: Local Directionality Extraction via Optimal Transport. - Jiening Zhu; Harini Veeraraghavan; Jue Jiang; Jung Hun Oh; Larry Norton; Joseph O. Deasy; Allen R. Tannenbaum (IEEE Trans. Medical Imaging, 2024)

Cross-Template-Based Hypergraph Transformer. - Jingxi Feng; Xiangmin Han; Heming Xu; Juan Wang; Jue Jiang; Shaoyi Du; Yue Gao 002 (ICASSP, 2025)

Benchmarking Transferability of Self-Supervised Pretraining for Multi-Organ Segmentation on Different Modalities. - Jue Jiang; Harini Veeraraghavan (ISBI, 2025)

Large language model trained on clinical oncology data predicts cancer progression. - 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; et al. (npj Digit. Medicine, 2025)

HSC-T: B-Ultrasound-to-Elastography Translation via Hierarchical Structural Consistency Learning for Thyroid Cancer Diagnosis. - Hongcheng Han; Zhiqiang Tian; Qinbo Guo; Jue Jiang; Shaoyi Du; Juan Wang (IEEE J. Biomed. Health Informatics, 2025)

Modality-agnostic, patient-specific digital twins modeling temporally varying digestive motion. - 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 (CoRR, 2025)

Segmentation Regularized Training for Multi-Domain Deep Learning Registration applied to MR-Guided Prostate Cancer Radiotherapy. - Sudharsan Madhavan; Chengcheng Gui; Lando Bosma; Josiah Simeth; Jue Jiang; Nicolas Cote; Nima Hassan Rezaeian; Himanshu Nagar; Victoria Brennan; Neelam Tyagi; Harini Veeraraghavan (CoRR, 2025)

DCATNet: polyp segmentation with deformable convolution and contextual-aware attention network. - Zenan Wang; Tianshu Li; Ming Liu; Jue Jiang; Xinjuan Liu (BMC Medical Imaging, 2025)

Multi-level graph self-supervised learning for multi-modal medical corpus construction. - Yuping Lin; Jingxi Feng; Xudong Chen; Rundong Xue; Jue Jiang; Zhiqiang Tian; Juan Wang (Pattern Recognit., 2026)