Frequency diffeomorphisms for efficient image registration M Zhang, R Liao, AV Dalca, EA Turk, J Luo, PE Grant, P Golland International conference on information processing in medical imaging, 559-570, 2017 | 58 | 2017 |
Joint Modeling of Chest Radiographs and Radiology Reports for Pulmonary Edema Assessment G Chauhan*, R Liao*, W Wells, J Andreas, X Wang, S Berkowitz, S Horng, ... International Conference on Medical Image Computing and Computer-Assisted …, 2020 | 57 | 2020 |
Multimodal Representation Learning via Maximization of Local Mutual Information R Liao, D Moyer, M Cha, K Quigley, S Berkowitz, S Horng, P Golland, ... International Conference on Medical Image Computing and Computer-Assisted …, 2021 | 44 | 2021 |
Performance of unscented Kalman filter tractography in edema: analysis of the two-tensor model R Liao, L Ning, Z Chen, L Rigolo, S Gong, O Pasternak, AJ Golby, Y Rathi, ... NeuroImage: Clinical 15, 819-831, 2017 | 42 | 2017 |
Deep learning to quantify pulmonary edema in chest radiographs S Horng*, R Liao*, X Wang, S Dalal, P Golland, SJ Berkowitz Radiology: Artificial Intelligence 3 (2), e190228, 2021 | 30 | 2021 |
Temporal registration in in-utero volumetric MRI time series R Liao, EA Turk, M Zhang, J Luo, PE Grant, E Adalsteinsson, P Golland International Conference on Medical Image Computing and Computer-Assisted …, 2016 | 21 | 2016 |
Semi-supervised learning for quantification of pulmonary edema in chest x-ray images R Liao, J Rubin, G Lam, S Berkowitz, S Dalal, W Wells, S Horng, ... arXiv preprint arXiv:1902.10785, 2019 | 20 | 2019 |
Pulmonary edema severity grades based on MIMIC-CXR (version 1.0. 1) R Liao, G Chauhan, P Golland, S Berkowitz, S Horng PhysioNet, 2021 | 7 | 2021 |
Pulmonary edema severity estimation in chest radiographs using deep learning X Wang, E Schwab, J Rubin, P Klassen, R Liao, S Berkowitz, P Golland, ... | 7 | 2019 |
Fast registration of intraoperative ultrasound and preoperative MR images based on calibrations of 2D and 3D ultrasound probes F Chen, R Liao, H Liao World Congress on Medical Physics and Biomedical Engineering, June 7-12 …, 2015 | 7 | 2015 |
Demi: Discriminative estimator of mutual information R Liao, D Moyer, P Golland, WM Wells arXiv preprint arXiv:2010.01766, 2020 | 6 | 2020 |
Depth-preserving style transfer R Liao, Y Xia, X Zhang Massachusetts Inst. Technol., Cambridge, MA, USA, Tech. Rep., 2016 | 4 | 2016 |
Temporal registration in application to in-utero MRI time series R Liao, EA Turk, M Zhang, J Luo, E Adalsteinsson, PE Grant, P Golland arXiv preprint arXiv:1903.02959, 2019 | 3 | 2019 |
Characterizing the Progression of Pulmonary Edema Severity: Can Pairwise Comparisons in Radiology Reports Help? SM Hu, S Horng, SJ Berkowitz, R Liao, RG Krishnan, HL Li-wei, RG Mark 2023 Computing in Cardiology (CinC) 50, 1-4, 2023 | 1 | 2023 |
RadTex: Learning Efficient Radiograph Representations from Text Reports K Quigley, M Cha, R Liao, G Chauhan, S Horng, S Berkowitz, P Golland MICCAI Workshop on Resource-Efficient Medical Image Analysis, 22-31, 2022 | 1 | 2022 |
Image classification with consistent supporting evidence P Wang, R Liao, D Moyer, S Berkowitz, S Horng, P Golland Machine Learning for Health, 168-180, 2021 | 1 | 2021 |
A framework for mapping scalable human brain anatomical networks via diffusion MRI R Liao, W Dou, M Zhang, H Chen, S Li 2016 IEEE-EMBS International Conference on Biomedical and Health Informatics …, 2016 | 1 | 2016 |
MACHINE LEARNING TO PREDICT MORTALITY AMONG PATIENTS WITH TRANSTHYRETIN AMYLOID CARDIOMYOPATHY R Liao, C Beskin, A Wilcox, G Lin, OF Abou-Ezzeddine Journal of the American College of Cardiology 83 (13_Supplement), 2438-2438, 2024 | | 2024 |
Methods and systems for determining assessments of cardiovascular, metabolic, and renal syndromes, diseases, and disorders R Liao, C Beskin US Patent App. 18/371,284, 2024 | | 2024 |
Early Recognition of Clinical Trajectories Using Machine Learning in Hospitalized Heart Failure Patients R Liao, C Beskin, A Harzand, G Lin, J Joseph, B Bozkurt JACC: Advances 3 (2), 100806, 2024 | | 2024 |