Riqiang Gao

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 63

Top Topics

Face Recognition

Organ Segmentation

Equivalence Classes

Top Venues

Medical Imaging: Image Processing

Medical Image Anal.

IEEE Signal Process. Lett.

Publications

Riqiang Gao, Florin C. Ghesu, Simon Arberet, Shahab Basiri, Esa Kuusela, Martin Kraus, Dorin Comaniciu, Ali Kamen
Multi-Agent Reinforcement Learning Meets Leaf Sequencing in Radiotherapy. CoRR (2024)
Han Liu, Zhoubing Xu, Riqiang Gao, Hao Li, Jianing Wang, Guillaume Chabin, Ipek Oguz, Sasa Grbic
COSST: Multi-Organ Segmentation With Partially Labeled Datasets Using Comprehensive Supervisions and Self-Training. IEEE Trans. Medical Imaging 43 (5) (2024)
Kaiwen Xu, Thomas Z. Li, Mirza S. Khan, Riqiang Gao, Sanja L. Antic, Yuankai Huo, Kim L. Sandler, Fabien Maldonado, Bennett A. Landman
Body composition assessment with limited field-of-view computed tomography: A semantic image extension perspective. Medical Image Anal. 88 (2023)
Xin Yu, Yucheng Tang, Qi Yang, Ho Hin Lee, Riqiang Gao, Shunxing Bao, Ann Zenobia Moore, Luigi Ferrucci, Bennett A. Landman
Longitudinal variability analysis on low-dose abdominal CT with deep learning-based segmentation. Medical Imaging: Image Processing (2023)
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, Bennett A. Landman, Thomas A. Lasko
Longitudinal Multimodal Transformer Integrating Imaging and Latent Clinical Signatures from Routine EHRs for Pulmonary Nodule Classification. MICCAI (2) (2023)
Xin Yu, Qi Yang, Yucheng Tang, Riqiang Gao, Shunxing Bao, Leon Y. Cai, Ho Hin Lee, Yuankai Huo, Ann Zenobia Moore, Luigi Ferrucci, Bennett A. Landman
Deep conditional generative models for longitudinal single-slice abdominal computed tomography harmonization. CoRR (2023)
Kaiwen Xu, Mirza S. Khan, Thomas Z. Li, Riqiang Gao, Sanja L. Antic, Yuankai Huo, Kim L. Sandler, Fabien Maldonado, Bennett A. Landman
Stratification of lung cancer risk with thoracic imaging phenotypes. Medical Imaging: Image Processing (2023)
Thomas Z. Li, Kaiwen Xu, Riqiang Gao, Yucheng Tang, Thomas A. Lasko, Fabien Maldonado, Kim L. Sandler, Bennett A. Landman
Time-distance vision transformers in lung cancer diagnosis from longitudinal computed tomography. Medical Imaging: Image Processing (2023)
Han Liu, Zhoubing Xu, Riqiang Gao, Hao Li, Jianing Wang, Guillaume Chabin, Ipek Oguz, Sasa Grbic
COSST: Multi-organ Segmentation with Partially Labeled Datasets Using Comprehensive Supervisions and Self-training. CoRR (2023)
Xin Yu, Qi Yang, 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, Yuankai Huo, Bennett A. Landman, Yucheng Tang
UNesT: Local spatial representation learning with hierarchical transformer for efficient medical segmentation. Medical Image Anal. 90 (2023)
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, Bennett A. Landman, Thomas A. Lasko
Longitudinal Multimodal Transformer Integrating Imaging and Latent Clinical Signatures From Routine EHRs for Pulmonary Nodule Classification. CoRR (2023)
Riqiang Gao, Bin Lou, Zhoubing Xu, Dorin Comaniciu, Ali Kamen
GAN: Towards Precise 3D Dose Prediction in Radiotherapy. CVPR (2023)
Thomas Z. Li, Kaiwen Xu, Riqiang Gao, Yucheng Tang, Thomas A. Lasko, Fabien Maldonado, Kim L. Sandler, Bennett A. Landman
Time-distance vision transformers in lung cancer diagnosis from longitudinal computed tomography. CoRR (2022)
Kaiwen Xu, Thomas Z. Li, Mirza S. Khan, Riqiang Gao, Sanja L. Antic, Yuankai Huo, Kim L. Sandler, Fabien Maldonado, Bennett A. Landman
Body Composition Assessment with Limited Field-of-view Computed Tomography: A Semantic Image Extension Perspective. CoRR (2022)
Ho Hin Lee, Yucheng Tang, Riqiang Gao, Qi Yang, Xin Yu, Shunxing Bao, James G. Terry, John Jeffrey Carr, Yuankai Huo, Bennett A. Landman
Pseudo-Label Guided Multi-Contrast Generalization for Non-Contrast Organ-Aware Segmentation. CoRR (2022)
Xin Yu, Qi Yang, Yucheng Tang, Riqiang Gao, Shunxing Bao, Leon Y. Cai, Ho Hin Lee, Yuankai Huo, Ann Zenobia Moore, Luigi Ferrucci, Bennett A. Landman
Reducing Positional Variance in Cross-sectional Abdominal CT Slices with Deep Conditional Generative Models. CoRR (2022)
Xin Yu, Yucheng Tang, Qi Yang, Ho Hin Lee, Riqiang Gao, Shunxing Bao, Ann Zenobia Moore, Luigi Ferrucci, Bennett A. Landman
Longitudinal Variability Analysis on Low-dose Abdominal CT with Deep Learning-based Segmentation. CoRR (2022)
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, Bennett A. Landman
Reducing uncertainty in cancer risk estimation for patients with indeterminate pulmonary nodules using an integrated deep learning model. Comput. Biol. Medicine 150 (2022)
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
Extending the value of routine lung screening CT with quantitative body composition assessment. Medical Imaging: Image Processing (2022)
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
A Comparative Study of Confidence Calibration in Deep Learning: From Computer Vision to Medical Imaging. CoRR (2022)
Xin Yu, Qi Yang, 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, Yuankai Huo, Bennett A. Landman, Yucheng Tang
UNesT: Local Spatial Representation Learning with Hierarchical Transformer for Efficient Medical Segmentation. CoRR (2022)
Xin Yu, Qi Yang, Yucheng Tang, Riqiang Gao, Shunxing Bao, Leon Y. Cai, Ho Hin Lee, Yuankai Huo, Ann Zenobia Moore, Luigi Ferrucci, Bennett A. Landman
Reducing Positional Variance in Cross-sectional Abdominal CT Slices with Deep Conditional Generative Models. MICCAI (8) (2022)
Xin Yu, Yucheng Tang, Yinchi Zhou, Riqiang Gao, Qi Yang, Ho Hin Lee, Thomas Li, Shunxing Bao, Yuankai Huo, Zhoubing Xu, Thomas A. Lasko, Richard G. Abramson, Bennett A. Landman
Characterizing Renal Structures with 3D Block Aggregate Transformers. CoRR (2022)
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
Lung Cancer Risk Estimation with Incomplete Data: A Joint Missing Imputation Perspective. MICCAI (5) (2021)
Yucheng Tang, Riqiang Gao, Ho Hin Lee, Qi Yang, Xin Yu, Yuyin Zhou, Shunxing Bao, Yuankai Huo, Jeffrey M. Spraggins, Jack Virostko, Zhoubing Xu, Bennett A. Landman
Pancreas CT Segmentation by Predictive Phenotyping. MICCAI (1) (2021)
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
Lung Cancer Risk Estimation with Incomplete Data: A Joint Missing Imputation Perspective. CoRR (2021)
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
Deep multi-path network integrating incomplete biomarker and chest CT data for evaluating lung cancer risk. Medical Imaging: Image Processing (2021)
Yucheng Tang, Riqiang Gao, Ho Hin Lee, Shizhong Han, Yunqiang Chen, Dashan Gao, Vishwesh Nath, Camilo Bermudez, Michael R. Savona, Richard G. Abramson, Shunxing Bao, Ilwoo Lyu, Yuankai Huo, Bennett A. Landman
High-resolution 3D abdominal segmentation with random patch network fusion. Medical Image Anal. 69 (2021)
Yucheng Tang, Riqiang Gao, Shizhong Han, Yunqiang Chen, Dashan Gao, Vishwesh Nath, Camilo Bermudez, Michael R. Savona, Shunxing Bao, Ilwoo Lyu, Yuankai Huo, Bennett A. Landman
Body Part Regression With Self-Supervision. IEEE Trans. Medical Imaging 40 (5) (2021)
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
Renal cortex, medulla and pelvicaliceal system segmentation on arterial phase CT images with random patch-based networks. Medical Imaging: Image Processing (2021)
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
Random Multi-Channel Image Synthesis for Multiplexed Immunofluorescence Imaging. COMPAY@MICCAI (2021)
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
Random Multi-Channel Image Synthesis for Multiplexed Immunofluorescence Imaging. CoRR (2021)
Riqiang Gao, Mirza S. Khan, Yucheng Tang, Kaiwen Xu, Steve Deppen, Yuankai Huo, Kim L. Sandler, Pierre P. Massion, Bennett A. Landman
Technical Report: Quality Assessment Tool for Machine Learning with Clinical CT. CoRR (2021)
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
Development and characterization of a chest CT atlas. Medical Imaging: Image Processing (2021)
Olivia Tang, Yuchen Xu, Yucheng Tang, Ho Hin Lee, Yunqiang Chen, Dashan Gao, Shizhong Han, Riqiang Gao, Michael R. Savona, Richard G. Abramson, Yuankai Huo, Bennett A. Landman
Validation and optimization of multi-organ segmentation on clinical imaging archives. Medical Imaging: Image Processing (2020)
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
Semi-supervised Machine Learning with MixMatch and Equivalence Classes. iMIMIC/MIL3ID/LABELS@MICCAI (2020)
Kaiwen Xu, Riqiang Gao, Mirza S. Khan, Shunxing Bao, Yucheng Tang, Steve A. Deppen, Yuankai Huo, Kim L. Sandler, Pierre P. Massion, Mattias P. Heinrich, Bennett A. Landman
Development and Characterization of a Chest CT Atlas. CoRR (2020)
Yucheng Tang, Ho Hin Lee, Yuchen Xu, Olivia Tang, Yunqiang Chen, Dashan Gao, Shizhong Han, Riqiang Gao, Camilo Bermudez, Michael R. Savona, Richard G. Abramson, Yuankai Huo, Bennett A. Landman
Contrast phase classification with a generative adversarial network. Medical Imaging: Image Processing (2020)
Yuchen Xu, Olivia Tang, Yucheng Tang, Ho Hin Lee, Yunqiang Chen, Dashan Gao, Shizhong Han, Riqiang Gao, Michael R. Savona, Richard G. Abramson, Yuankai Huo, Bennett A. Landman
Outlier guided optimization of abdominal segmentation. Medical Imaging: Image Processing (2020)
Ho Hin Lee, Yucheng Tang, Olivia Tang, Yuchen Xu, Yunqiang Chen, Dashan Gao, Shizhong Han, Riqiang Gao, Michael R. Savona, Richard G. Abramson, Yuankai Huo, Bennett A. Landman
Semi-supervised multi-organ segmentation through quality assurance supervision. Medical Imaging: Image Processing (2020)
Yuchen Xu, Olivia Tang, Yucheng Tang, Ho Hin Lee, Yunqiang Chen, Dashan Gao, Shizhong Han, Riqiang Gao, Michael R. Savona, Richard G. Abramson, Yuankai Huo, Bennett A. Landman
Validation and Optimization of Multi-Organ Segmentation on Clinical Imaging Archives. CoRR (2020)
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
Multi-path x-D recurrent neural networks for collaborative image classification. Neurocomputing 397 (2020)
Yucheng Tang, Riqiang Gao, Ho Hin Lee, Quinn Stanton Wells, Ashley Spann, James G. Terry, John J. Carr, Yuankai Huo, Shunxing Bao, Bennett A. Landman
Prediction of Type II Diabetes Onset with Computed Tomography and Electronic Medical Records. ML-CDS/CLIP@MICCAI (2020)
Yuchen Xu, Olivia Tang, Yucheng Tang, Ho Hin Lee, Yunqiang Chen, Dashan Gao, Shizhong Han, Riqiang Gao, Michael R. Savona, Richard G. Abramson, Yuankai Huo, Bennett A. Landman
Outlier Guided Optimization of Abdominal Segmentation. CoRR (2020)
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
Deep Multi-path Network Integrating Incomplete Biomarker and Chest CT Data for Evaluating Lung Cancer Risk. CoRR (2020)
Yiyuan Yang, Riqiang Gao, Yucheng Tang, Sanja L. Antic, Steve Deppen, Yuankai Huo, Kim L. Sandler, Pierre P. Massion, Bennett A. Landman
Internal-transfer weighting of multi-task learning for lung cancer detection. Medical Imaging: Image Processing (2020)
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
Automatic Labeling of Cortical Sulci Using Spherical Convolutional Neural Networks in a Developmental Cohort. ISBI (2020)
Jingna Sun, Wenming Yang, Riqiang Gao, Jing-Hao Xue, Qingmin Liao
Inter-class angular margin loss for face recognition. Signal Process. Image Commun. 80 (2020)
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
Time-distanced gates in long short-term memory networks. Medical Image Anal. 65 (2020)
Riqiang Gao, Lingfeng Li, Yucheng Tang, Sanja L. Antic, Alexis B. Paulson, Yuankai Huo, Kim L. Sandler, Pierre P. Massion, Bennett A. Landman
Deep multi-task prediction of lung cancer and cancer-free progression from censored heterogenous clinical imaging. Medical Imaging: Image Processing (2020)
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
Distanced LSTM: Time-Distanced Gates in Long Short-Term Memory Models for Lung Cancer Detection. CoRR (2019)
Ho Hin Lee, Yucheng Tang, Olivia Tang, Yuchen Xu, Yunqiang Chen, Dashan Gao, Shizhong Han, Riqiang Gao, Michael R. Savona, Richard G. Abramson, Yuankai Huo, Bennett A. Landman
Semi-Supervised Multi-Organ Segmentation through Quality Assurance Supervision. CoRR (2019)
Riqiang Gao, Lingfeng Li, Yucheng Tang, Sanja L. Antic, Alexis B. Paulson, Yuankai Huo, Kim L. Sandler, Pierre P. Massion, Bennett A. Landman
Deep Multi-task Prediction of Lung Cancer and Cancer-free Progression from Censored Heterogenous Clinical Imaging. CoRR (2019)
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
Distanced LSTM: Time-Distanced Gates in Long Short-Term Memory Models for Lung Cancer Detection. MLMI@MICCAI (2019)
Jiachen Wang, Riqiang Gao, Yuankai Huo, Shunxing Bao, Yunxi Xiong, Sanja Antic, Travis Osterman, Pierre P. Massion, Bennett A. Landman
Lung Cancer Detection using Co-learning from Chest CT Images and Clinical Demographics. CoRR (2019)
Jiachen Wang, Riqiang Gao, Yuankai Huo, Shunxing Bao, Yunxi Xiong, Sanja L. Antic, Travis J. Osterman, Pierre P. Massion, Bennett A. Landman
Lung cancer detection using co-learning from chest CT images and clinical demographics. Medical Imaging: Image Processing (2019)
Yiyuan Yang, Riqiang Gao, Yucheng Tang, Sanja L. Antic, Steve Deppen, Yuankai Huo, Kim L. Sandler, Pierre P. Massion, Bennett A. Landman
Internal-transfer Weighting of Multi-task Learning for Lung Cancer Detection. CoRR (2019)
Yucheng Tang, Ho Hin Lee, Yuchen Xu, Olivia Tang, Yunqiang Chen, Dashan Gao, Shizhong Han, Riqiang Gao, Camilo Bermudez, Michael R. Savona, Richard G. Abramson, Yuankai Huo, Bennett A. Landman
Contrast Phase Classification with a Generative Adversarial Network. CoRR (2019)
Riqiang Gao, Fuwei Yang, Wenming Yang, Qingmin Liao
Margin Loss: Making Faces More Separable. IEEE Signal Process. Lett. 25 (2) (2018)
Fuwei Yang, Wenming Yang, Riqiang Gao, Qingmin Liao
Discriminative Multidimensional Scaling for Low-Resolution Face Recognition. IEEE Signal Process. Lett. 25 (3) (2018)
Wenming Yang, Riqiang Gao, Qingmin Liao
Weighted Voting of Discriminative Regions for Face Recognition. IEICE Trans. Inf. Syst. (11) (2017)
Riqiang Gao, Wenming Yang, Xiaoling Hu, Qingmin Liao
Two-stage patch-based sparse multi-value descriptor for face recognition. VCIP (2016)
Wenming Yang, Xiaoling Hu, Riqiang Gao, Qingmin Liao
Dump Truck Recognition Based on SCPSR in Videos. CCPR (2) (2016)
Riqiang Gao, Wenming Yang, Xiang Sun, Hong Li, Qingmin Liao
Locally Collaborative Representation in Similar Subspace for Face Recognition. CCBR (2015)