Quantitative perfusion maps using a novelty spatiotemporal convolutional neural network

no code implementations • 8 Dec 2023 • Anbo Cao, Pin-Yu Le, Zhonghui Qie, Haseeb Hassan, Yingwei Guo, Asim Zaman, Jiaxi Lu, Xueqiang Zeng, Huihui Yang, Xiaoqiang Miao, Taiyu Han, Guangtao Huang, Yan Kang, Yu Luo, Jia Guo

The results indicate that the network can accurately estimate perfusion parameters, including cerebral blood volume (CBV), cerebral blood flow (CBF), and time to maximum of the residual function (Tmax).

SSIM

Progressive Sampling-Based Bayesian Optimization for Efficient and Automatic Machine Learning Model Selection

no code implementations • 6 Dec 2018 • Xueqiang Zeng, Gang Luo

Methods: To address the challenge, this paper presents progressive sampling-based Bayesian optimization, an efficient and automatic selection method for both algorithms and hyper-parameter values.

Automatic Machine Learning Model Selection Bayesian Optimization +3