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)

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)

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)

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)

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)