周然，女，2020年毕业于华中科技大学，获博士学位。2020年8月至今任教于湖北工业大学，讲师。

研究方向：深度学习、图像处理。

近3年来主要个人成果、参加学术团体及社会兼职情况：

1. R. Zhou, M. Ding, M. Azarpazhooh, J. Spence, E. Ukwatta and A. Fenster, “A Voxel-based Fully Convolution Network and Continuous Max-flow for Carotid Vessel-wall-volume Segmentation from 3D Ultrasound Images”,IEEE transactions on medical imaging, 39(9), pp: 2844-2855, 2020.

2. R. Zhou, A. Fenster, Y. Xia and M. Ding, “Deep Learning‐based Carotid Media‐adventitia and Lumen‐intima Boundary Segmentation from Three-dimensional Ultrasound Images”,Medical Physics, 46(7), pp. 3180-3193, 2019

3. R. Zhou, Y. Luo, A. Fenster, J. Spence and M. Ding, “Fractal Dimension Based Carotid Plaque Characterization from Three-dimensional Ultrasound Images”,Medical & Biological Engineering & Computing, 57(1), pp. 135-146, 2019

4. R. Zhou, W. Ma, A. Fenster, M. Ding, “U-Net Based Automatic Carotid Plaque Segmentation from 3D Ultrasound Images”, Proceeding ofSPIE Medical Imaging 2019.