I completed my computer science PhD at MIT, advised by Polina Golland. At MIT, I studied machine learning and developed novel algorithms driven by clinical problems. My PhD research has been supported by Merrill Lynch Fellowship and Siebel Fellowship. Prior to MIT, I received a bachelor's degree from Tsinghua University.

I'm building Empallo, excited about ubiquitous computing and its potential to advance health care.

Education

Massachusetts Institute of Technology2015 - 2021
Ph.D.

Tsinghua University2011 - 2015
B.Eng.

Publications [Google Scholar]

P. Wang, R. Liao, D. Moyer, S. Berkowitz, S. Horng, P. Golland
Image Classification with Consistent Supporting Evidence.
Machine Learning for Health, Proceedings of Machine Learning Research (PMLR), 2021.
[PDF]

R. Liao, D. Moyer, M. Cha, K. Quigley, S. Berkowitz, S. Horng, P. Golland, W. Wells
Multimodal Representation Learning via Maximization of Local Mutual Information.
International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2021.
[PDF] [code] [oral presentation] [MIT News]

R. Liao, D. Moyer, P. Golland, W. Wells
DEMI: Discriminative Estimator of Mutual Information.
arXiv:2010.01766.
[PDF] [code]

G. Chauhan*, R. Liao*, W. Wells, J. Andreas, X. Wang, S. Berkowitz, S. Horng, P. Szolovits, P. Golland
Joint Modeling of Chest Radiographs and Radiology Reports for Pulmonary Edema Assessment.
International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2020. (* indicates equal contributions.)
[PDF] [code] [oral presentation] [MIT News]

S. Horng*, R. Liao*, X. Wang, S. Dalal, P. Golland, S. Berkowitz
Deep Learning to Quantify Pulmonary Edema in Chest Radiographs.
Radiology: Artificial Intelligence. (* indicates equal contributions.)
[PDF]

R. Liao, J. Rubin, G. Lam, S. Berkowitz, S. Dalal, W. Wells, S. Horng, P. Golland
Semi-supervised Learning for Quantification of Pulmonary Edema in Chest X-Ray Images.
arXiv:1902.10785.
[PDF]

R. Liao, E. Turk, M. Zhang, J. Luo, E. Adalsteinsson, E. Grant, P. Golland
Temporal Registration in Application to In-utero MRI Time Series.
arXiv:1903.02959.
[PDF] [code]

R. Liao, L. Ning, Z. Chen, L. Rigolo, S. Gong, O. Pasternak, A. Golby, Y. Rathi, L. O'Donnell
Performance of Unscented Kalman Filter Tractography in Edema: Analysis of The Two-tensor Model.
NeuroImage: Clinical.
[PDF]

M. Zhang, R. Liao, A. Dalca, E. Turk, J. Luo, E. Grant, P. Golland
Frequency Diffeomorphisms for Efficient Image Registration.
International Conference on Information Processing in Medical Imaging (IPMI), 2017 (Oral presentation).
[PDF]

R. Liao, E. Turk, M. Zhang, J. Luo, E. Grant, E. Adalsteinsson, P. Golland
Temporal Registration in In-Utero Volumetric MRI Time Series.
International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2016.
[PDF] [code] [video] [MIT News]

R. Liao, W. Dou, M. Zhang, H. Chen, S. Li
A Framework for Mapping Scalable Human Brain Anatomical Networks via Diffusion MRI.
IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI), 2016 (Oral presentation).
[PDF]

F. Chen, R. Liao, H. Liao
Fast Registration of Intraoperative Ultrasound and Preoperative MR Images Based on Calibrations of 2D and 3D Ultrasound Probes.
World Congress on Medical Physics and Biomedical Engineering, 2015.
[PDF]

Contact

Email: ruizhi [at] mit.edu