Shaping Sound to See Sub-Surface Sicknesses (EPSRC CDT in Smart Medical Imaging)

我第一次对成像产生兴趣是在我学位的图像处理模块期间。我对我们正在处理的图像的获取特别感兴趣，这使我参加了我所在部门提供的生物医学成像选修课。我的硕士论文也侧重于生物图像的可视化，因为我正在Rowlands博士的监督下创建一个与显微镜的虚拟现实界面。在这个项目中，我将解决拉曼成像的一些低效率问题，这是一种信息丰富的高光谱成像形式。这些问题的例子包括减少采样时间和处理大量数据等。这段经历进一步肯定了我对成像的热爱，巩固了它作为我未来想要追求的研究领域。我的研究经验主要集中在信号处理，以及人工智能。在大三的时候，我和我的小组被选中承担了我们部门最具竞争力的项目。在Farina教授的指导下，我们与Meta合作，证明了门控循环单元网络可以被训练来预测运动单元的激活，只需在皮肤上使用少量电极。

I first became interested in imaging during the image processing module of my degree. I was particularly intrigued by the acquisition of the images we were handling, which led me to take the biomedical imaging elective offered by my department. My Master's thesis also focuses on the visualisation of biological images, as I am creating a virtual reality interface to a microscope under the supervision of Dr Rowlands. During this project, I will be addressing some inefficiencies in Raman imaging, which is an information-rich form ofhyperspectral imaging. Examples of these problems include reducing sampling times and processing largeamounts of data, amongst others. This experience has further affirmed my love for imaging, cementing it as the area of research I would like to pursue in the future. My research experience has focused on signal processing, as well as artificial intelligence. In my third year, my group and I were chosen to undertake the most competitive project in our department. Under the supervision of Prof. Farina, we worked with Meta to demonstrate that a gated recurrent unit network could be trained to predict motor unit activation using a small number of electrodes on the skin.