| Correlating mammographic and pathologic findings in clinical decision support using natural language processing and data mining methods TA Patel, M Puppala, RO Ogunti, JE Ensor, T He, JB Shewale, DP Ankerst, ... Cancer 123 (1), 114-121, 2017 | 73 | 2017 |
| METEOR: an enterprise health informatics environment to support evidence-based medicine M Puppala, T He, S Chen, R Ogunti, X Yu, F Li, R Jackson, STC Wong IEEE Transactions on Biomedical Engineering 62 (12), 2776-2786, 2015 | 53 | 2015 |
| Online 4-D CT estimation for patient-specific respiratory motion based on real-time breathing signals T He, Z Xue, W Xie, STC Wong Medical Image Computing and Computer-Assisted Intervention–MICCAI 2010: 13th …, 2010 | 46 | 2010 |
| Data security and privacy management in healthcare applications and clinical data warehouse environment M Puppala, T He, X Yu, S Chen, R Ogunti, STC Wong 2016 IEEE-EMBS International Conference on Biomedical and Health Informatics …, 2016 | 45 | 2016 |
| A deep learning–based decision support tool for precision risk assessment of breast cancer T He, M Puppala, CF Ezeana, Y Huang, P Chou, X Yu, S Chen, L Wang, ... JCO clinical cancer informatics 3, 1-12, 2019 | 30 | 2019 |
| A minimally invasive multimodality image-guided (MIMIG) system for peripheral lung cancer intervention and diagnosis T He, Z Xue, K Lu, MV y Alvarado, KK Wong, W Xie, ST Wong Computerized Medical Imaging and Graphics 36 (5), 345-355, 2012 | 26 | 2012 |
| A behavior-modification, clinical-grade mobile application to improve breast cancer survivors' accountability and health outcomes R Stubbins, T He, X Yu, M Puppala, CF Ezeana, S Chen, ... JCO clinical cancer informatics 2, 1-11, 2018 | 19 | 2018 |
| Deep learning analytics for diagnostic support of breast cancer disease management T He, M Puppala, R Ogunti, JJ Mancuso, X Yu, S Chen, JC Chang, ... 2017 IEEE EMBS international conference on biomedical & health informatics …, 2017 | 19 | 2017 |
| An imageomics and multi-network based deep learning model for risk assessment of liver transplantation for hepatocellular cancer T He, JN Fong, LW Moore, CF Ezeana, D Victor, M Divatia, M Vasquez, ... Computerized Medical Imaging and Graphics 89, 101894, 2021 | 18 | 2021 |
| Preventing inpatient falls with injuries using integrative machine learning prediction: A cohort study L Wang, Z Xue, CF Ezeana, M Puppala, S Chen, RL Danforth, X Yu, T He, ... NPJ digital medicine 2 (1), 127, 2019 | 18 | 2019 |
| Memory-augmented capsule network for adaptable lung nodule classification A Mobiny, P Yuan, PA Cicalese, SK Moulik, N Garg, CC Wu, K Wong, ... IEEE Transactions on Medical Imaging 40 (10), 2869-2879, 2021 | 15 | 2021 |
| Manifold regularized multi-view subspace clustering for image representation L Wang, D Li, T He, Z Xue 2016 23rd International Conference on Pattern Recognition (ICPR), 283-288, 2016 | 13 | 2016 |
| Space target recognition based on biomimetic pattern recognition W Cao, H Feng, L Hu, T He 2009 First International Workshop on Database Technology and Applications, 64-67, 2009 | 12 | 2009 |
| A smartphone app framework for segmented cancer care coordination T He, R Ogunti, M Puppala, S Chen, X Yu, JJ Mancuso, STC Wong 2016 IEEE-EMBS International Conference on Biomedical and Health Informatics …, 2016 | 11 | 2016 |
| Three-dimensional dendritic spine detection based on minimal cross-sectional curvature T He, Z Xue, Y Kim, ST Wong 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI), 1639-1642, 2012 | 10 | 2012 |
| A novel approach for three dimensional dendrite spine segmentation and classification T He, Z Xue, STC Wong Medical Imaging 2012: Image Processing 8314, 919-926, 2012 | 10 | 2012 |
| The multi-weight neuron with geometry algorithm and its application CAO Wenming, HE Tiancheng | 10 | 2008 |
| The effect of platelet G proteins on platelet extravasation and tumor growth in the murine model of ovarian cancer MS Cho, J Li, R Gonzalez-Delgado, H Lee, M Vasquez, T He, Y He, K Liu, ... Blood Advances 5 (7), 1947-1951, 2021 | 8 | 2021 |
| OCIAD1 contributes to neurodegeneration in Alzheimer's disease by inducing mitochondria dysfunction, neuronal vulnerability and synaptic damages X Li, L Wang, M Cykowski, T He, T Liu, J Chakranarayan, A Rivera, ... EBioMedicine 51, 102569, 2020 | 8 | 2020 |
| Transductive maximum margin classification of ADHD using resting state fMRI L Wang, D Li, T He, STC Wong, Z Xue Machine Learning in Medical Imaging: 7th International Workshop, MLMI 2016 …, 2016 | 8 | 2016 |
Jon XueR&D VP, United Imaging IntelligenceVerified email at mias.us
