School of Engineering Department of Electronic and Computer Engineering 134 Robust and Generalized Methods for Medical Image Analysis Supervisor: LI Xiaomeng / ECE Student: MA Wanqin / ELEC Course: UROP1100, Fall UROP2100, Spring UROP3100, Summer In this summer, we are assigned to the group led by mentor Yao Huifeng. Ma Wanqin focus on preparing Cardiac MRI Analysis Challenge under Respiratory Motion (CMRxMotion), MICCAI 2022. Mu Xihe is assigned to read papers about self-training and consistency learning(eg: pseudo label and mean teacher). To research well, the main goal is to apply what we learned with Professor. Li Xiaomeng during past UROP. After careful selection, we finally decide to use method CACPS to train effective model and participate in the challenge. The method mainly focus on practicing effective segmentation on medical images with the use of pseudo labels. This report will provide challenge information and the details of experiments I did in summer. Robust and Generalized Methods for Medical Image Analysis Supervisor: LI Xiaomeng / ECE Student: SONG Chen / CPEG Course: UROP1000, Summer The project reproduces the results of the paper “Not End-to-End: Explore MultiStage Architecture for Online Surgical Phase Recognition” on datasets Cholec80 and M2CAI16. To better understand and complete the project, some related papers and primers are read and learned, also included in this report. This report includes a summary of what I learned. Then there is a summary of the paper, my understanding of the paper and the code. Eventually, it is the experiment and the results on datasets Cholec80 and M2CAI16.