Richard G. Abramson
Orcid: 0000-0002-1200-0281
According to our database1,
Richard G. Abramson
authored at least 31 papers
between 2014 and 2023.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2023
UNesT: Local spatial representation learning with hierarchical transformer for efficient medical segmentation.
Medical Image Anal., December, 2023
2022
Corrigendum to "Acceleration of spleen segmentation with end-to-end deep learning method and automated pipeline" [Comput. Biol. Med. 107 (2019) 109-117].
Comput. Biol. Medicine, 2022
2021
Medical Image Anal., 2021
Rap-Net: Coarse-To-Fine Multi-Organ Segmentation With Single Random Anatomical Prior.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
2020
Proceedings of the Medical Imaging 2020: Image Processing, 2020
Validation and optimization of multi-organ segmentation on clinical imaging archives.
Proceedings of the Medical Imaging 2020: Image Processing, 2020
Proceedings of the Medical Imaging 2020: Image Processing, 2020
Proceedings of the Medical Imaging 2020: Image Processing, 2020
2019
IEEE Trans. Medical Imaging, 2019
IEEE Trans. Medical Imaging, 2019
CoRR, 2019
Acceleration of spleen segmentation with end-to-end deep learning method and automated pipeline.
Comput. Biol. Medicine, 2019
Improving splenomegaly segmentation by learning from heterogeneous multi-source labels.
Proceedings of the Medical Imaging 2019: Image Processing, 2019
2018
Robust Multicontrast MRI Spleen Segmentation for Splenomegaly Using Multi-Atlas Segmentation.
IEEE Trans. Biomed. Eng., 2018
Splenomegaly segmentation using global convolutional kernels and conditional generative adversarial networks.
Proceedings of the Medical Imaging 2018: Image Processing, 2018
Proceedings of the Medical Imaging 2018: Image Processing, 2018
Adversarial synthesis learning enables segmentation without target modality ground truth.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
2017
Proceedings of the Medical Imaging 2017: Image Processing, 2017
Multi-atlas segmentation enables robust multi-contrast MRI spleen segmentation for splenomegaly.
Proceedings of the Medical Imaging 2017: Image Processing, 2017
Automated Characterization of Body Composition and Frailty with Clinically Acquired CT.
Proceedings of the Computational Methods and Clinical Applications in Musculoskeletal Imaging, 2017
2016
Evaluation of Six Registration Methods for the Human Abdomen on Clinically Acquired CT.
IEEE Trans. Biomed. Eng., 2016
Proceedings of the Medical Imaging 2016: Image Processing, 2016
Whole abdominal wall segmentation using Augmented Active Shape Models (AASM) with multi-atlas label fusion and level set.
Proceedings of the Medical Imaging 2016: Image Processing, 2016
2015
Efficient multi-atlas abdominal segmentation on clinically acquired CT with SIMPLE context learning.
Medical Image Anal., 2015
Efficient abdominal segmentation on clinically acquired CT with SIMPLE context learning.
Proceedings of the Medical Imaging 2015: Image Processing, 2015
Evaluation of five image registration tools for abdominal CT: pitfalls and opportunities with soft anatomy.
Proceedings of the Medical Imaging 2015: Image Processing, 2015
Development of a diaphragmatic motion-based elastography framework for assessment of liver stiffness.
Proceedings of the Medical Imaging 2015: Biomedical Applications in Molecular, 2015
Proceedings of the Medical Imaging 2015: Biomedical Applications in Molecular, 2015
2014
Proceedings of the Medical Imaging 2014: Image Processing, 2014
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014