2023
Rahman Siddiquee, M.M., Shah, J., Wu, T., Chong, C., Schwedt, T., Dumkrieger, G., Nikolova, S., and Li, B.
Brainomaly: Unsupervised Neurologic Disease Detection Utilizing Unannotated T1- weighted Brain MR Images
In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision
Rahman Siddiquee, M.M., Shah, J., Wu, T., Chong, C., Schwedt, T. and Li, B.
HealthyGAN: Learning from Unannotated Medical Images to Detect Anomalies Associated with Human Disease.
In International Workshop on Simulation and Synthesis in Medical Imaging
Chen, K., Ghisays, V., Luo, J., Chen, Y., Lee, W., Wu, T., Reiman, E., Su, Y.
Harmonizing florbetapir and PiB PET measurements of cortical Aβ plaque burden using multiple regions-of-
interest and machine learning techniques: An alternative to the Centiloid approach
Alzheimer’s & Dementia: The Journal of the Alzheimer’s Association (accepted).
Li, T., Xu, Y., Wu, T., Charlton, J., Bennett, K., Al-Hindawi, F.
BlobCUT: A Contrastive Learning Method to Support Small Blob Detection in Medical Imaging
Bioengineering
Al-Hindawi, F., Rahman Siddiquee, M.M, Wu, T., Hu, H., Sun, Y.
Domain-knowledge Inspired Pseudo Supervision (DIPS) for Unsupervised Image-to-Image Translation Models to Support Cross Domain Classification
Engineering Applications of Artificial Intelligence
Wang, L., Zheng, Z., Su, Y., Chen, K., Weidman, D., Wu, T., Lo, S., Lure, F., Li, J.
Early Prediction of Progression to Alzheimer’s Disease using Multi-Modality Neuroimages by a Novel Ordinal Learning Model ADPacer
IISE Transactions on Healthcare Systems Engineering
Charlton, J., Li, T., Wu, T., DeRonde, K., Xu, Y., Baldelomar, E.J., Bennett, K.
Use of novel structural features to identify urinary biomarkers during acute kidney injury that predict progression
to chronic kidney disease
BMC Nephrology
Zheng, Z., Su, Y., Chen, K., Weidman, D., Wu, T., Lo, S., Lure, F. & Li, J.
Uncertainty-driven modality selection for data-efficient prediction of Alzheimer’s Disease
IISE Transactions on Healthcare Systems Engineering
Zheng, R., Sun, S., Liu, H., Wu, T.,
Deep Neural Networks-Enabled Vehicle Detection Using High-Resolution Automotive Radar Imaging
IEEE Transactions on Aerospace and Electronic Systems
Al-Hindawi, F., Soori, T., Hu, H., Rahman Siddiquee, Yoon, H., Wu, T., Sun, Y.
A Framework for Generalizing Critical Heat Flux Detection Models Using Unsupervised Image-to-Image Translation
Expert Systems with Applications
Mao, L., Li, J., Schwedt, T., Berisha, V., Nikjou, D., Wu, T., Dumkrieger, G., Ross, K., Chong, C.
Questionnaire and Structural Imaging Data Accurately Predict Headache Improvement in Patients with Acute Post-traumatic Headache Attributed to Mild Traumatic Brain Injuries: a Machine Learning Study
Cephalalgia
Ishrak, M.S., Cai, F., Islam, S.M., Boric-Lubecke, O., Wu, T., Lubecke, V.
Doppler Radar Remote Sensing of Respiratory Function
Frontier in Physiology
Cai, F., Patharkar, A., Wu, T., Lure, F., Chen, H., Chen, V.
STRIDE: Systematic Radar Intelligence Analysis for Dementia Risk Evaluation with Gait Signature Simulation and Deep Learning
IEEE Sensors Journal
Li, G., Ren, L., Fu, Y., Yang, Z., Adetola, V., Wen, J., Zhu, Q., Wu, T., Candan, S., O’Neill, Z.
A Critical Review of Cyber-Physical Security for Building Automation Systems
Annual Reviews in Control
Shah, J., Rahman Siddiquee, M, Krell-Roesch, J., Syrjanen, J.A., Kremers, W.K., Vassilaki, M., Forzani, E., Wu, T, Geda, Y. Neuropsychiatric symptoms and commonly used biomarkers of Alzheimer’s disease: A literature review from a machine Learning perspective
Journal of Alzheimer’s Disease
Chong, C., Nikolova, S., Dumkrieger, G., Wu, T., Berisha, V., Li, J., Ross, K., Schwedt, T.
Thalamic subfield iron accumulation after acute mild traumatic injury as a marker of future post-traumatic headache intensity
The Journal of Head and Face Pain
Yang, J., Wang, S., Wu, T.
Maximum mutual information for feature extraction from graph- structured data: Application to Alzheimer’s disease classification
Applied Intelligence
2022
Pradhan, O., Hälleberg, D., Chen, Z., Wen, J., Wu, T., Candan, KS., O’Neill, Z.
Lagged-kNN Based Data Imputation Approach for Multi-Stream Building
5th Herrick Conferences
Nikolova, S., Schwedt, T., Li, J., Wu, T., Dumkrieger, G., Ross, K., Berisha, V., Chong, C.
T2* reduction in patients with acute post-traumatic headache
Cephalalgia
Nikolova, S., Chong, C., Dumkrieger, G., Li, J., Wu, T., Schwedt, T.
Longitudinal Differences in Iron Deposition in Periaqueductal Gray Matter and Anterior Cingulate Cortex are Associated with Response to Erenumab in Migraine
Cephalalgia
Schwedt, J., Nikolova, S., Dumkrieger, G., Li, J., Wu, T., Chong, C.
Longitudinal Changes in Functional Connectivity and Pain-Induced Brain Activations in Patients with Migraine: A Functional MRI Study Pre- and Post- Treatment with Erenumab
The Journal of Headache and Pain
Chen, Y., Wen, J., Pradhan, O., Lo, J., Wu, T.
Using Discrete Bayesian Networks for Diagnosing and Isolating Cross-level Faults in HVAC Systems
Applied Energy
Rahman Siddiquee, M., Shah, J., Chong, C., Nikolova, S., Dumkrieger, G., Li, B., Wu, T., Schwedt, T.
Headache Classification and Automatic Biomarker Extraction from Structural MRIs using Deep Learning
Brain Communications
Huang, J., Yoon, H., Wu, T., Candan, K.S., Pradhan, O., Wen, J., O’Neill, Z.
Eigen-Entropy: A Metric on Multi-variate Sampling Decision
Information Sciences
Xu, Y., Wu, T., Charlton, J., Bennett, K.
GAN Training Acceleration Using Fréchet Descriptor- Based Coreset
Applied Sciences
Huang, J., Yoon, H., Pradhan, O., Wu, T., Wen, J., O’Neill, Z., Candan, K.S.
A Cosine-based Correlation Information Entropy Approach for Building Automatic Fault Detection Baseline Construction
Science and Technology for the Built Environment
Huang, J., Wen, J., Yoon, H., Pradhan, O., Wu, T., O’Neill, Z., Candan, K.S.
Real vs. Simulated: questions on the capability of simulated datasets on building fault detection for energy efficiency from a data driven perspective
Energy and Buildings