David Dreizin

According to our database, David Dreizin authored at least 7 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

FastSAM3D: An Efficient Segment Anything Model for 3D Volumetric Medical Images.

Yiqing Shen, Jingxing Li, Xinyuan Shao, Blanca Inigo Romillo, Ankush Jindal, David Dreizin, Mathias Unberath

CoRR, 2024

FluoroSAM: A Language-aligned Foundation Model for X-ray Image Segmentation.

Benjamin D. Killeen, Liam J. Wang, Han Zhang, Mehran Armand, Russell H. Taylor, David Dreizin, Greg Osgood, Mathias Unberath

CoRR, 2024

2022

External Attention Assisted Multi-Phase Splenic Vascular Injury Segmentation With Limited Data.

Yuyin Zhou, David Dreizin, Yan Wang, Fengze Liu, Wei Shen, Alan L. Yuille

IEEE Trans. Medical Imaging, 2022

2021

An Automated Deep Learning Method for Tile AO/OTA Pelvic Fracture Severity Grading from Trauma whole-Body CT.

David Dreizin, Florian Goldmann, Christina LeBedis, Alexis Boscak, Matthew Dattwyler, Uttam Bodanapally, Guang Li, Stephan Anderson, Andreas Maier, Mathias Unberath

J. Digit. Imaging, 2021

An Interpretable Approach to Automated Severity Scoring in Pelvic Trauma.

Anna Zapaishchykova, David Dreizin, Zhaoshuo Li, Jie Ying Wu, Shahrooz Faghihroohi, Mathias Unberath

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020

Performance of a Deep Learning Algorithm for Automated Segmentation and Quantification of Traumatic Pelvic Hematomas on CT.

David Dreizin, Yuyin Zhou, Yixiao Zhang, Nikki Tirada, Alan L. Yuille

J. Digit. Imaging, 2020

2019

Multi-scale Attentional Network for Multi-focal Segmentation of Active Bleed After Pelvic Fractures.

Yuyin Zhou, David Dreizin, Yingwei Li, Zhishuai Zhang, Yan Wang, Alan L. Yuille

Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019