Locally Collaborative Representation in Similar Subspace for Face Recognition. - Riqiang Gao; Wenming Yang; Xiang Sun 003; Hong Li; Qingmin Liao (CCBR, 2015)

Dump Truck Recognition Based on SCPSR in Videos. - Wenming Yang; Xiaoling Hu 002; Riqiang Gao; Qingmin Liao (CCPR (2), 2016)

Two-stage patch-based sparse multi-value descriptor for face recognition. - Riqiang Gao; Wenming Yang; Xiaoling Hu 002; Qingmin Liao (VCIP, 2016)

Weighted Voting of Discriminative Regions for Face Recognition. - Wenming Yang; Riqiang Gao; Qingmin Liao (IEICE Trans. Inf. Syst., 2017)

Margin Loss: Making Faces More Separable. - Riqiang Gao; Fuwei Yang; Wenming Yang; Qingmin Liao (IEEE Signal Process. Lett., 2018)

Discriminative Multidimensional Scaling for Low-Resolution Face Recognition. - Fuwei Yang; Wenming Yang; Riqiang Gao; Qingmin Liao (IEEE Signal Process. Lett., 2018)

Distanced LSTM: Time-Distanced Gates in Long Short-Term Memory Models for Lung Cancer Detection. - Riqiang Gao; Yuankai Huo; Shunxing Bao; Yucheng Tang; Sanja L. Antic; Emily S. Epstein; Aneri B. Balar; Steve Deppen; Alexis B. Paulson; Kim L. Sandler; Pierre P. Massion; Bennett A. Landman (MLMI@MICCAI, 2019)

Lung cancer detection using co-learning from chest CT images and clinical demographics. - Jiachen Wang; Riqiang Gao; Yuankai Huo; Shunxing Bao; Yunxi Xiong; Sanja L. Antic; Travis J. Osterman; Pierre P. Massion; Bennett A. Landman (Image Processing, 2019)

Automatic Labeling of Cortical Sulci Using Spherical Convolutional Neural Networks in a Developmental Cohort. - Lingyan Hao; Shunxing Bao; Yucheng Tang; Riqiang Gao; Prasanna Parvathaneni; Jacob A. Miller; Willa Voorhies; Jewelia Yao; Silvia A. Bunge; Kevin S. Weiner; Bennett A. Landman; Ilwoo Lyu (ISBI, 2020)

Semi-supervised Machine Learning with MixMatch and Equivalence Classes. - Colin B. Hansen; Vishwesh Nath; Riqiang Gao; Camilo Bermudez; Yuankai Huo; Kim L. Sandler; Pierre P. Massion; Jeffrey D. Blume; Thomas A. Lasko; Bennett A. Landman (iMIMIC/MIL3ID/LABELS@MICCAI, 2020)

Prediction of Type II Diabetes Onset with Computed Tomography and Electronic Medical Records. - Yucheng Tang; Riqiang Gao; Ho Hin Lee; Quinn Stanton Wells; Ashley Spann; James G. Terry; John Jeffrey Carr; Yuankai Huo; Shunxing Bao; Bennett A. Landman (ML-CDS/CLIP@MICCAI, 2020)

Deep multi-task prediction of lung cancer and cancer-free progression from censored heterogenous clinical imaging. - Riqiang Gao; Lingfeng Li; Yucheng Tang; Sanja L. Antic; Alexis B. Paulson; Yuankai Huo; Kim L. Sandler; Pierre P. Massion; Bennett A. Landman (Image Processing, 2020)

Semi-supervised multi-organ segmentation through quality assurance supervision. - Ho Hin Lee; Yucheng Tang; Olivia Tang; Yuchen Xu 001; Yunqiang Chen; Dashan Gao 001; Shizhong Han; Riqiang Gao; Michael R. Savona; Richard G. Abramson; Yuankai Huo; Bennett A. Landman (Image Processing, 2020)

Contrast phase classification with a generative adversarial network. - Yucheng Tang; Ho Hin Lee; Yuchen Xu 001; Olivia Tang; Yunqiang Chen; Dashan Gao 001; Shizhong Han; Riqiang Gao; Camilo Bermudez; Michael R. Savona; Richard G. Abramson; Yuankai Huo; et al. (Image Processing, 2020)

Validation and optimization of multi-organ segmentation on clinical imaging archives. - Olivia Tang; Yuchen Xu 001; Yucheng Tang; Ho Hin Lee; Yunqiang Chen; Dashan Gao 001; Shizhong Han; Riqiang Gao; Michael R. Savona; Richard G. Abramson; Yuankai Huo; Bennett A. Landman (Image Processing, 2020)

Outlier guided optimization of abdominal segmentation. - Yuchen Xu 001; Olivia Tang; Yucheng Tang; Ho Hin Lee; Yunqiang Chen; Dashan Gao 001; Shizhong Han; Riqiang Gao; Michael R. Savona; Richard G. Abramson; Yuankai Huo; Bennett A. Landman (Image Processing, 2020)

Internal-transfer weighting of multi-task learning for lung cancer detection. - Yiyuan Yang; Riqiang Gao; Yucheng Tang; Sanja L. Antic; Steve Deppen; Yuankai Huo; Kim L. Sandler; Pierre P. Massion; Bennett A. Landman (Image Processing, 2020)

Multi-path x-D recurrent neural networks for collaborative image classification. - Riqiang Gao; Yuankai Huo; Shunxing Bao; Yucheng Tang; Sanja L. Antic; Emily S. Epstein; Steve Deppen; Alexis B. Paulson; Kim L. Sandler; Pierre P. Massion; Bennett A. Landman (Neurocomputing, 2020)

Time-distanced gates in long short-term memory networks. - Riqiang Gao; Yucheng Tang; Kaiwen Xu; Yuankai Huo; Shunxing Bao; Sanja L. Antic; Emily S. Epstein; Steve Deppen; Alexis B. Paulson; Kim L. Sandler; Pierre P. Massion; Bennett A. Landman (Medical Image Anal., 2020)

Inter-class angular margin loss for face recognition. - Jingna Sun; Wenming Yang; Riqiang Gao; Jing-Hao Xue; Qingmin Liao (Signal Process. Image Commun., 2020)

Random Multi-Channel Image Synthesis for Multiplexed Immunofluorescence Imaging. - Shunxing Bao; Yucheng Tang; Ho Hin Lee; Riqiang Gao; Sophie Chiron; Ilwoo Lyu; Lori A. Coburn; Keith T. Wilson; Joseph T. Roland; Bennett A. Landman; Yuankai Huo (COMPAY@MICCAI, 2021)

Lung Cancer Risk Estimation with Incomplete Data: A Joint Missing Imputation Perspective. - Riqiang Gao; Yucheng Tang; Kaiwen Xu; Ho Hin Lee; Steve Deppen; Kim L. Sandler; Pierre P. Massion; Thomas A. Lasko; Yuankai Huo; Bennett A. Landman (MICCAI (5), 2021)

Pancreas CT Segmentation by Predictive Phenotyping. - Yucheng Tang; Riqiang Gao; Ho Hin Lee; Qi Yang 004; Xin Yu 010; Yuyin Zhou; Shunxing Bao; Yuankai Huo; Jeffrey M. Spraggins; Jack Virostko; Zhoubing Xu; Bennett A. Landman (MICCAI (1), 2021)

Deep multi-path network integrating incomplete biomarker and chest CT data for evaluating lung cancer risk. - Riqiang Gao; Yucheng Tang; Kaiwen Xu; Michael N. Kammer; Sanja L. Antic; Steve Deppen; Kim L. Sandler; Pierre P. Massion; Yuankai Huo; Bennett A. Landman (Image Processing, 2021)

Renal cortex, medulla and pelvicaliceal system segmentation on arterial phase CT images with random patch-based networks. - Yucheng Tang; Riqiang Gao; Ho Hin Lee; Zhoubing Xu; Brent V. Savoie; Shunxing Bao; Yuankai Huo; Agnes B. Fogo; Raymond Harris; Mark P. de Caestecker; Jeffrey M. Spraggins; Bennett A. Landman (Image Processing, 2021)

Development and characterization of a chest CT atlas. - Kaiwen Xu; Riqiang Gao; Mirza S. Khan; Shunxing Bao; Yucheng Tang; Steve Deppen; Yuankai Huo; Kim L. Sandler; Pierre P. Massion; Mattias P. Heinrich; Bennett A. Landman (Image Processing, 2021)

Technical Report: Quality Assessment Tool for Machine Learning with Clinical CT. - Riqiang Gao; Mirza S. Khan; Yucheng Tang; Kaiwen Xu; Steve Deppen; Yuankai Huo; Kim L. Sandler; Pierre P. Massion; Bennett A. Landman (CoRR, 2021)

High-resolution 3D abdominal segmentation with random patch network fusion. - Yucheng Tang; Riqiang Gao; Ho Hin Lee; Shizhong Han; Yunqiang Chen; Dashan Gao 001; Vishwesh Nath; Camilo Bermudez; Michael R. Savona; Richard G. Abramson; Shunxing Bao; Ilwoo Lyu; et al. (Medical Image Anal., 2021)

Body Part Regression With Self-Supervision. - Yucheng Tang; Riqiang Gao; Shizhong Han; Yunqiang Chen; Dashan Gao 001; Vishwesh Nath; Camilo Bermudez; Michael R. Savona; Shunxing Bao; Ilwoo Lyu; Yuankai Huo; Bennett A. Landman (IEEE Trans. Medical Imaging, 2021)

Reducing Positional Variance in Cross-sectional Abdominal CT Slices with Deep Conditional Generative Models. - Xin Yu 010; Qi Yang 004; Yucheng Tang; Riqiang Gao; Shunxing Bao; Leon Y. Cai; Ho Hin Lee; Yuankai Huo; Ann Zenobia Moore; Luigi Ferrucci; Bennett A. Landman (MICCAI (8), 2022)

Inpainting missing tissue in multiplexed immunofluorescence imaging. - Shunxing Bao; Yucheng Tang; Ho Hin Lee; Riqiang Gao; Qi Yang 004; Xin Yu 002; Sophie Chiron; Lori A. Coburn; Keith T. Wilson; Joseph T. Roland; Bennett A. Landman; Yuankai Huo (Digital and Computational Pathology, 2022)

Extending the value of routine lung screening CT with quantitative body composition assessment. - Kaiwen Xu; Riqiang Gao; Yucheng Tang; Steve A. Deppen; Kim L. Sandler; Michael N. Kammer; Sanja L. Antic; Fabien Maldonado; Yuankai Huo; Mirza S. Khan; Bennett A. Landman (Image Processing, 2022)

Reducing uncertainty in cancer risk estimation for patients with indeterminate pulmonary nodules using an integrated deep learning model. - Riqiang Gao; Thomas Z. Li; Yucheng Tang; Kaiwen Xu; Mirza S. Khan; Michael N. Kammer; Sanja L. Antic; Stephen Deppen; Yuankai Huo; Thomas A. Lasko; Kim L. Sandler; Fabien Maldonado; et al. (Comput. Biol. Medicine, 2022)

Characterizing Renal Structures with 3D Block Aggregate Transformers. - Xin Yu 010; Yucheng Tang; Yinchi Zhou; Riqiang Gao; Qi Yang 004; Ho Hin Lee; Thomas Z. Li; Shunxing Bao; Yuankai Huo; Zhoubing Xu; Thomas A. Lasko; Richard G. Abramson; et al. (CoRR, 2022)

Pseudo-Label Guided Multi-Contrast Generalization for Non-Contrast Organ-Aware Segmentation. - Ho Hin Lee; Yucheng Tang; Riqiang Gao; Qi Yang 004; Xin Yu 010; Shunxing Bao; James G. Terry; John Jeffrey Carr; Yuankai Huo; Bennett A. Landman (CoRR, 2022)

A Comparative Study of Confidence Calibration in Deep Learning: From Computer Vision to Medical Imaging. - Riqiang Gao; Thomas Z. Li; Yucheng Tang; Zhoubing Xu; Michael N. Kammer; Sanja L. Antic; Kim L. Sandler; Fabien Maldonado; Thomas A. Lasko; Bennett A. Landman (CoRR, 2022)

Flexible-Cm GAN: Towards Precise 3D Dose Prediction in Radiotherapy. - Riqiang Gao; Bin Lou; Zhoubing Xu; Dorin Comaniciu; Ali Kamen (CVPR, 2023)

Longitudinal Multimodal Transformer Integrating Imaging and Latent Clinical Signatures from Routine EHRs for Pulmonary Nodule Classification. - Thomas Z. Li; John M. Still; Kaiwen Xu; Ho Hin Lee; Leon Y. Cai; Aravind R. Krishnan; Riqiang Gao; Mirza S. Khan; Sanja Antic; Michael N. Kammer; Kim L. Sandler; Fabien Maldonado; et al. (MICCAI (2), 2023)

Longitudinal variability analysis on low-dose abdominal CT with deep learning-based segmentation. - Xin Yu 010; Yucheng Tang; Qi Yang 004; Ho Hin Lee; Riqiang Gao; Shunxing Bao; Ann Zenobia Moore; Luigi Ferrucci; Bennett A. Landman (Image Processing, 2023)

Time-distance vision transformers in lung cancer diagnosis from longitudinal computed tomography. - Thomas Z. Li; Kaiwen Xu; Riqiang Gao; Yucheng Tang; Thomas A. Lasko; Fabien Maldonado; Kim L. Sandler; Bennett A. Landman (Image Processing, 2023)

Stratification of lung cancer risk with thoracic imaging phenotypes. - Kaiwen Xu; Mirza S. Khan; Thomas Z. Li; Riqiang Gao; Sanja L. Antic; Yuankai Huo; Kim L. Sandler; Fabien Maldonado; Bennett A. Landman (Image Processing, 2023)

Deep conditional generative models for longitudinal single-slice abdominal computed tomography harmonization. - Xin Yu 010; Qi Yang 004; Yucheng Tang; Riqiang Gao; Shunxing Bao; Leon Y. Cai; Ho Hin Lee; Yuankai Huo; Ann Zenobia Moore; Luigi Ferrucci; Bennett A. Landman (CoRR, 2023)

Body composition assessment with limited field-of-view computed tomography: A semantic image extension perspective. - Kaiwen Xu; Thomas Z. Li; Mirza S. Khan; Riqiang Gao; Sanja L. Antic; Yuankai Huo; Kim L. Sandler; Fabien Maldonado; Bennett A. Landman (Medical Image Anal., 2023)

UNesT: Local spatial representation learning with hierarchical transformer for efficient medical segmentation. - Xin Yu 010; Qi Yang 004; Yinchi Zhou; Leon Y. Cai; Riqiang Gao; Ho Hin Lee; Thomas Z. Li; Shunxing Bao; Zhoubing Xu; Thomas A. Lasko; Richard G. Abramson; Zizhao Zhang; et al. (Medical Image Anal., 2023)

Multi-Agent Reinforcement Learning Meets Leaf Sequencing in Radiotherapy. - Riqiang Gao; Florin-Cristian Ghesu; Simon Arberet; Shahab Basiri; Esa Kuusela; Martin Kraus; Dorin Comaniciu; Ali Kamen (ICML, 2024)

COSST: Multi-Organ Segmentation With Partially Labeled Datasets Using Comprehensive Supervisions and Self-Training. - Han Liu; Zhoubing Xu; Riqiang Gao; Hao Li 108; Jianing Wang 004; Guillaume Chabin; Ipek Oguz; Sasa Grbic (IEEE Trans. Medical Imaging, 2024)

Automating High Quality RT Planning at Scale. - Riqiang Gao; Mamadou Diallo; Han Liu; Anthony Magliari; Jonathan Sackett; Wilko Verbakel; Sandra Meyers; Masoud Zarepisheh; Rafe McBeth; Simon Arberet; Martin Kraus; Florin C. Ghesu; et al. (CoRR, 2025)

A Beam's Eye View to Fluence Maps 3D Network for Ultra Fast VMAT Radiotherapy Planning. - Simon Arberet; Florin C. Ghesu; Riqiang Gao; Martin Kraus; Jonathan Sackett; Esa Kuusela; Ali Kamen (CoRR, 2025)

AI-assisted Early Detection of Pancreatic Ductal Adenocarcinoma on Contrast-enhanced CT. - Han Liu; Riqiang Gao; Sasa Grbic (CoRR, 2025)