AI for health

Refereed Publications

1. Zhaoxiang Zhang, Hanqiu Deng, Xingyu Li, Unsupervised Liver Tumor Segmentation with Pseudo Anomaly Synthesis, MICCAI Workshop - Simulation And Synthesis In Medical Imaging, Oct 2023. Source Code
2. Abed Soleymani, Xingyu Li, Mahdi Tavakoli, Artificial Intelligence in Robot-Assisted Surgery: Applications to Surgical Skills Assessment and Transfer, Medical and Healthcare Robotics, 2023.
3. Roger J. Zemp, Matthew T. Martell, Nathaniel J.M. Haven, Ewan McAlister, Brendon S. Restall, Brendyn D. Cikaluk, Rohan Mittal, Benjamin Adam, Nadia Giannakopoulos, Lashan Peiris, Sveta Silverman, Jean Deschenes, Xingyu Li, Deep learning-enabled realistic virtual histology with ultraviolet photoacoustic remote sensing microscopy, Nature Communications, 2023.
4. Ali AkbarSadat Asl, Ershadi M.M, S. Sotudian, Xingyu Li, Scott Dick, Fuzzy expert systems for prediction of ICU admission in patients with COVID-19, Intelligent Decision Technologies: An International Journal, Mar 2022.
5. Abed Soleymani, Xingyu Li, Mahdi Tavakoli, Surgical Procedure Understanding, Evaluation, and Interpretation: A Dictionary Factorization, IEEE Transactions on Medical Robotics and Bionics, 2022.
6. Bokai Yang, Ke Fang, Xingyu Li, Cranial Implant Prediction by Learning an Ensemble of Slice-Based Skull Completion Networks, MICCAI challenge AutoImplant 2021, Dec 2021.(Ranking 2nd place in the MICCAI challenge of AutoImplant 2021, Task 1: cranial implant design for diverse synthetic defects on aligned skulls) Source Code
7. Abed Soleymani, Ali AkbarSadat Asl, Mojtaba Yeganejou, Scott Dick, Mahdi Tavakoli, Xingyu Li, Surgical Skill Evaluation From Robot-Assisted Surgery Recordings, International Symposium on Medical Robotics (ISMR), Nov 2021.
8. Abed Soleymani, Xingyu Li, Mahdi Tavakoli, Deep Neural Skill Assessment and Transfer: Application to Robotic Surgery Training, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Sep 2021.