Andreas Rimner

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 12

Top Topics

Tumor Segmentation

Top Venues

IEEE Trans. Medical Imaging

Comput. Methods Programs Biomed.

Publications

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 (2023)
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) (2022)
Jue Jiang, Andreas Rimner, Joseph O. Deasy, Harini Veeraraghavan
Unpaired cross-modality educed distillation (CMEDL) applied to CT lung tumor segmentation. CoRR (2021)
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 (2021)
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 (2020)
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 (2020)
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) (2020)
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)
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 (2019)
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 (2019)
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)
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)