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Riqiang Gao
Riqiang Gao
Siemens Healthineers, Digital Tech. & Innovation
Verified email at siemens-healthineers.com - Homepage
Title
Cited by
Cited by
Year
Discriminative multidimensional scaling for low-resolution face recognition
F Yang, W Yang, R Gao, Q Liao
IEEE Signal Processing Letters, 2017
732017
High-resolution 3D abdominal segmentation with random patch network fusion
Y Tang, R Gao, HH Lee, S Han, Y Chen, D Gao, V Nath, C Bermudez, ...
Medical image analysis, 2021
512021
Distanced LSTM: time-distanced gates in long short-term memory models for lung cancer detection
R Gao, Y Huo, S Bao, Y Tang, SL Antic, ES Epstein, AB Balar, S Deppen, ...
MLMI@MICCAI (oral), 2019
462019
Time-distanced gates in long short-term memory networks
R Gao, Y Tang, K Xu, Y Huo, S Bao, SL Antic, ES Epstein, S Deppen, ...
Medical image analysis (CF Chen best paper in Vanderbilt), 2020
322020
Margin Loss: Making Faces More Separable
R Gao, F Yang, W Yang, Q Liao
IEEE Signal Processing Letters, 2018
312018
UNesT: local spatial representation learning with hierarchical transformer for efficient medical segmentation
X Yu, Q Yang, Y Zhou, LY Cai, R Gao, HH Lee, T Li, S Bao, Z Xu, ...
Medical Image Analysis 90, 102939, 2023
252023
Lung cancer detection using co-learning from chest CT images and clinical demographics
J Wang, R Gao, Y Huo, S Bao, Y Xiong, SL Antic, TJ Osterman, ...
SPIE: Medical imaging, 2019
222019
Body part regression with self-supervision
Y Tang, R Gao, S Han, Y Chen, D Gao, V Nath, C Bermudez, MR Savona, ...
IEEE Transactions on Medical Imaging, 2021
172021
Semi-supervised multi-organ segmentation through quality assurance supervision
HH Lee, Y Tang, O Tang, Y Xu, Y Chen, D Gao, S Han, R Gao, ...
SPIE: Medical Imaging, 2020
162020
Contrast phase classification with a generative adversarial network
Y Tang, HH Lee, Y Xu, O Tang, Y Chen, D Gao, S Han, R Gao, ...
SPIE: Medical Imaging, 2020
152020
Prediction of type II diabetes onset with computed tomography and electronic medical records
Y Tang, R Gao, HH Lee, QS Wells, A Spann, JG Terry, JJ Carr, Y Huo, ...
Multimodal Learning for Clinical Decision Support and Clinical Image-Based …, 2020
152020
Multi-path xD recurrent neural networks for collaborative image classification
R Gao, Y Huo, S Bao, Y Tang, SL Antic, ES Epstein, S Deppen, ...
Neurocomputing, 2020
142020
Deep multi-task prediction of lung cancer and cancer-free progression from censored heterogenous clinical imaging
R Gao, L Li, Y Tang, SL Antic, AB Paulson, Y Huo, KL Sandler, ...
SPIE: Medical Imaging (RFW best paper finalist), 2020
142020
Cancer risk estimation combining lung screening CT with clinical data elements
R Gao, Y Tang, MS Khan, K Xu, AB Paulson, S Sullivan, Y Huo, S Deppen, ...
Radiology: Artificial Intelligence 3 (6), e210032, 2021
112021
Deep multi-path network integrating incomplete biomarker and chest CT data for evaluating lung cancer risk
R Gao, Y Tang, K Xu, MN Kammer, SL Antic, S Deppen, KL Sandler, ...
SPIE: Medical Imaging (RFW best paper finalist), 2021
102021
Lung Cancer Risk Estimation with Incomplete Data: A Joint Missing Imputation Perspective
R Gao, Y Tang, K Xu, HH Lee, S Deppen, K Sandler, P Massion, ...
MICCAI (early accept), 2021
92021
Automatic labeling of cortical sulci using spherical convolutional neural networks in a developmental cohort
L Hao, S Bao, Y Tang, R Gao, P Parvathaneni, JA Miller, W Voorhies, ...
IEEE ISBI, 2020
92020
Inter-class angular margin loss for face recognition
J Sun, W Yang, R Gao, JH Xue, Q Liao
Signal Processing: Image Communication, 2020
92020
Renal cortex, medulla and pelvicaliceal system segmentation on arterial phase CT images with random patch-based networks
Y Tang, R Gao, HH Lee, Z Xu, BV Savoie, S Bao, Y Huo, AB Fogo, ...
SPIE: Medical Imaging 2021, 2021
82021
Validation and estimation of spleen volume via computer-assisted segmentation on clinically acquired CT scans
Y Yang, Y Tang, R Gao, S Bao, Y Huo, MT McKenna, MR Savona, ...
Journal of Medical Imaging 8 (1), 014004-014004, 2021
82021
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