Neelam Tyagi
Orcid: 0000-0002-6256-7817
According to our database1,
Neelam Tyagi authored at least 11 papers
between 2018 and 2026.
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Bibliography
2026
Parallel Route Coherent Mixup Deep Learning for Single Source to Multi-Domain Generalized Prostate Cancer Segmentation for Mr Guided Adaptive Radiotherapy.
Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026
2025
Dataset, November, 2025
Segmentation Regularized Training for Multi-Domain Deep Learning Registration applied to MR-Guided Prostate Cancer Radiotherapy.
CoRR, July, 2025
Modality-agnostic, patient-specific digital twins modeling temporally varying digestive motion.
CoRR, July, 2025
2022
Progressively refined deep joint registration segmentation (ProRSeg) of gastrointestinal organs at risk: Application to MRI and cone-beam CT.
CoRR, 2022
Self-supervised 3D Anatomy Segmentation Using Self-distilled Masked Image Transformer (SMIT).
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
2020
PSIGAN: Joint Probabilistic Segmentation and Image Distribution Matching for Unpaired Cross-Modality Adaptation-Based MRI Segmentation.
IEEE Trans. Medical Imaging, 2020
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.
CoRR, 2019
Cross-modality (CT-MRI) prior augmented deep learning for robust lung tumor segmentation from small MR datasets.
CoRR, 2019
Integrating Cross-modality Hallucinated MRI with CT to Aid Mediastinal Lung Tumor Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
2018
Tumor-Aware, Adversarial Domain Adaptation from CT to MRI for Lung Cancer Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018