Tiancheng (Ted) He Ph.D.
Tiancheng (Ted) He Ph.D.
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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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
The multi-weight neuron with geometry algorithm and its application
CAO Wenming, HE Tiancheng
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
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
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
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