7 citations · 7 across the 2 of their papers we have counts for
3 papers
cs.PF2023
Benchmarking Performance of Deep Learning Model for Material Segmentation on Two HPC Systems
Warren R. Williams, S. Ross Glandon, Luke L. Morris +1
Performance Benchmarking of HPC systems is an ongoing effort that seeks to provide information that will allow for increased performance and improve the job schedulers that manage…
eess.IV2023★ 7 cited
Cross-modality Attention Adapter: A Glioma Segmentation Fine-tuning Method for SAM Using Multimodal Brain MR Images
Xiaoyu Shi, Shurong Chai, Yinhao Li +4
According to the 2021 World Health Organization (WHO) Classification scheme for gliomas, glioma segmentation is a very important basis for diagnosis and genotype prediction. In gen…
eess.IV2021
Model-based Synthetic Data-driven Learning (MOST-DL): Application in Single-shot T2 Mapping with Severe Head Motion Using Overlapping-echo Acquisition
Qinqin Yang, Yanhong Lin, Jiechao Wang +12
Use of synthetic data has provided a potential solution for addressing unavailable or insufficient training samples in deep learning-based magnetic resonance imaging (MRI). However…