Neelam Tyagi

12 papers Journal 9Unranked 3
YearRankTypeTitle / Venue / Authors
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
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
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
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
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