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Journal Articles
- 2023
[j3]Aditi Iyer
, Aditya P. Apte, Ethan Bendau, Maria Thor, Ishita Chen, Jacob Shin, Abraham J. Wu, Daniel Gomez, Andreas Rimner, Ellen Yorke, Joseph O. Deasy, Andrew Jackson:
ROE (Radiotherapy Outcomes Estimator): An open-source tool for optimizing radiotherapy prescriptions. Comput. Methods Programs Biomed. 242: 107833 (2023)- 2022
- [j2]Jue Jiang, Andreas Rimner, Joseph O. Deasy, Harini Veeraraghavan:
Unpaired Cross-Modality Educed Distillation (CMEDL) for Medical Image Segmentation. IEEE Trans. Medical Imaging 41(5): 1057-1068 (2022) - 2020
- [j1]Jue Jiang, Yu-Chi Hu, Neelam Tyagi, Andreas Rimner, Nancy Lee, Joseph O. Deasy, Sean Berry, Harini Veeraraghavan:
PSIGAN: Joint Probabilistic Segmentation and Image Distribution Matching for Unpaired Cross-Modality Adaptation-Based MRI Segmentation. IEEE Trans. Medical Imaging 39(12): 4071-4084 (2020)
Conference and Workshop Papers
- 2019
- [c3]Rabia Haq, Alexandra Hotca, Aditya P. Apte, Andreas Rimner, Joseph O. Deasy, Maria Thor:
Cardio-Pulmonary Substructure Segmentation of CT Images Using Convolutional Neural Networks. AIRT@MICCAI 2019: 162-169 - [c2]Jue Jiang, Jason Hu, Neelam Tyagi, Andreas Rimner, Sean L. Berry, Joseph O. Deasy, Harini Veeraraghavan:
Integrating Cross-modality Hallucinated MRI with CT to Aid Mediastinal Lung Tumor Segmentation. MICCAI (6) 2019: 221-229 - 2018
- [c1]Jue Jiang, Yu-Chi Hu, Neelam Tyagi, Pengpeng Zhang, Andreas Rimner, Gig S. Mageras, Joseph O. Deasy, Harini Veeraraghavan:
Tumor-Aware, Adversarial Domain Adaptation from CT to MRI for Lung Cancer Segmentation. MICCAI (2) 2018: 777-785
Informal and Other Publications
- 2021
- [i6]Jue Jiang, Sadegh Riyahi Alam, Ishita Chen, Perry Zhang, Andreas Rimner, Joseph O. Deasy, Harini Veeraraghavan:
Deep cross-modality (MR-CT) educed distillation learning for cone beam CT lung tumor segmentation. CoRR abs/2102.08556 (2021) - [i5]Jue Jiang, Andreas Rimner, Joseph O. Deasy, Harini Veeraraghavan:
Unpaired cross-modality educed distillation (CMEDL) applied to CT lung tumor segmentation. CoRR abs/2107.07985 (2021) - 2020
- [i4]Hyemin Um, Jue Jiang, Maria Thor, Andreas Rimner, Leo Luo, Joseph O. Deasy, Harini Veeraraghavan:
Multiple resolution residual network for automatic thoracic organs-at-risk segmentation from CT. CoRR abs/2005.13690 (2020) - [i3]Jue Jiang, Yu-Chi Hu, Neelam Tyagi, Andreas Rimner, Nancy Lee, Joseph O. Deasy, Sean Berry, Harini Veeraraghavan:
PSIGAN: Joint probabilistic segmentation and image distribution matching for unpaired cross-modality adaptation based MRI segmentation. CoRR abs/2007.09465 (2020) - 2019
- [i2]Jue Jiang, Yu-Chi Hu, Neelam Tyagi, Pengpeng Zhang, Andreas Rimner, Joseph O. Deasy, Harini Veeraraghavan:
Cross-modality (CT-MRI) prior augmented deep learning for robust lung tumor segmentation from small MR datasets. CoRR abs/1901.11369 (2019) - [i1]Jue Jiang, Jason Hu, Neelam Tyagi, Andreas Rimner, Sean L. Berry, Joseph O. Deasy, Harini Veeraraghavan:
Integrating cross-modality hallucinated MRI with CT to aid mediastinal lung tumor segmentation. CoRR abs/1909.04542 (2019)
Coauthor Index
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