Andrew Wentzel
PhD Graduate, 2024
Computer Science
awentze2@uic.edu
Bibliography
Nipu, N., Wentzel, A., Molaei, N. H., Sangi, N., Zhang, X., Canahuate, G., Fuller, C. D., Marai, G. E., mEnergy: Development of a Novel mHealth Multi-device Platform for Near Real-time Remote Assessment of Energy Disorders, The 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) 2025, Copenhagen, Denmark, pp. 1 - 7, July 14, 2025
, April 11, 2025
Wentzel, A., Visual Computing Design for Explainable, Spatially-aware Machine Learning, Submitted as partial fulfillment of the requirements for the degree of Doctor of Philosophy in Computer Science, Graduate College of the University of Illinois Chicago, December 2, 2024
Trelles, J., Wentzel, A., Berrios, W., Shatkay, H., Marai, G.E., BI-LAVA: Biocuration with Hierarchical Image Labeling through Active Learning and Visual Analytics, Computer Graphics Forum 2024, pp. 1-15, September 22, 2024
Wentzel, A., Attia, S., Zhang, X., Canahuate, G., Fuller, C.D., Marai. G.E., DITTO: A Visual Digital Twin for Interventions and Temporal Treatment Outcomes in Head and Neck Cancer, IEEE Trans. Vis. Comp. Graphics, pp. 1-11, July 18, 2024
Wentzel, A., Levine, L., Dhariwal, V., Fatemi, Z., Bhattacharya, A., Di Eugenio, B., Rojecki, A., Zheleva, E., Marai,G.E., MOTIV: Visual Exploration of Moral Framing in Social Media, Computer Graphics Forum 2024, pp. 1-14, March 15, 2024
Mantovani, M., Wentzel, A., Trelles Trabucco, J., Michaelis, J., Marai, G.E., Kiviat Defense: An Empirical Evaluation of Visual Encoding Effectiveness in Multivariate Data Similarity Detection, Journal of Imaging Science and Technology, Society for Imaging Science and Technology, no 6040, Electronic Imaging 2024, Burlingame, CA, pp. 1-13, January 22, 2024
Floricel, C., Wentzel, A., Mohamed, A., Fuller, C.D., Canahuate, G., Marai, G.E., Roses Have Thorns: Understanding the Downside of Oncological Care Delivery Through Visual Analytics and Sequential Rule Mining, IEEE Trans. Vis. Comp. Graphics, VIS 2023, pp. 1-11, October 22, 2023
Wentzel, A., Mohamed, A.S.R., Naser, M.A., Van Dijk, L.V., Hutcheson, K., Moreno, A.M., Fuller, C.D., Canahuate, G., Marai, G.E., Multi-Organ Spatial Stratification of 3-D Dose Distributions Improves Risk Prediction of Long-Term Self-Reported Severe Symptoms in Oropharyngeal Cancer Patients Receiving Radiotherapy: Development of a Pre-Treatment Decision Support Tool., Frontiers in Oncology, July 17, 2023
Canahuate, G., Wentzel, A, Mohamed, A.S.R., van Dijk, L.V., Vock, D.M., Elgohari, B., Elhalawani, H., Fuller, C.D, Marai, G.E., Spatially-aware clustering improves AJCC-8 risk stratification performance in oropharyngeal carcinomas, Oral Oncology, vol 144, www.elsevier.com/locate/oraloncology, Elsevier Ltd., June 28, 2023
Wentzel, A., Floricel, C., Canahuate, G., Naser, M., Mohamed, A., Fuller, C.D., Van Dijk, L., Marai, G.E., DASS Good: Explainable Data Mining of Oncology Imaging and Toxicity Data, Computer Graphics Forum 2023 / EuroVis 2023, vol 42, no 3, pp. 1-13, June 1, 2023
Floricel, C., Nipu, N., Wentzel, A., Biggs, M., Canahuate, G., Mohamed, A.S.R., van Dijk, L., Fuller, C.D., Marai, G.E., THALIS: Human-Machine Analysis of Longitudinal Symptoms in Cancer Therapy, January 1, 2022
Tardini, E., Zhang, X., Canahuate, G., Wentzel, A., Mohamed, A.S.R., Van Dijk, L., Fuller, C.D., Marai, G.E., A digital twin dyad with deep Q-learning in head and neck cancer treatment, Fourth ISC Workshop on HPC Applications in Precision Medicine, June 18, 2021
Wentzel, A., Luciani, T., van Dijk, L., Taku, N., Elgohari, B., Mohamed, A.S.R., Canahuate, G., Fuller, C.D., Vock, D., Marai, G.E., Precision association of lymphatic disease spread with radiation-associated toxicity in oropharyngeal squamous carcinomas, Radiotherapy and Oncology, vol 161, Elsevier, pp. 152–158, June 11, 2021
Floricel, C., Wentzel, A., Kumar, N., Nipu, N., Canahuate, G., Dijk, L.V., Marai, G.E., Visualizing Symptom Development During Head and Neck Cancer Treatment, IEEE VIS 2020 Poster, October 25, 2020
Wentzel, A., Canahuate, G., van Dijk, L., Mohamed, A., Fuller, C.D., Marai, G.E., Explainable Spatial Clustering: Leveraging Spatial Data in Radiation Oncology, IEEE VIS 2020 Short Papers, Visualizing Machine Learning, October 25, 2020
Wentzel,A., Hanula, P., Van Dijk, L.V., Mohamed, A.S., Elgohari, B., Cardenas, C., Fuller, C.D., Vock, D., Canahuate, G., Marai, G.E., Precision toxicity correlates of tumor spatial proximity to organs at risk in cancer patients receiving intensity-modulated radiotherapy, Radiotherapy and Oncology, vol 148, Elsevier, pp. 245-251, July 1, 2020
Luciani, T., Wentzel,A., Elgohari, B., Elhalawani, H., Mohamed, A.S., Canahuate, G., Vock, D.M., Fuller, C.D., Marai, G.E., A Spatial Neighborhood Methodology for Computing and Analyzing Lymph Node Carcinoma Similarity in Precision Medicine, Journal of Biomedical Informatics, vol 5, March 1, 2020
Wentzel, A., Elgohari, B., Hanula, P., Luciani, T., Elhalawani, H., Cardenas, C.E., Edwards, B., Mohamed, A.S., Canahuate, G., Vock, D., Fuller, C.D., Marai, G.E., Cohort-Based Spatial Similarity Can Predict Radiotherapy Dose Distribution, ASTRO Annual Meeting of the American Society for Radiation Oncology, Chicago, IL, pp. 1-2, September 15, 2019
Wentzel, A., Hanula, P., Luciani, T,, Elgohary, B., Canahuate. G., Vock, D., Fuller, C.D., Marai, G.E., Cohort-based T-SSIM Visual Computing for Radiation Therapy Prediction and Exploration, IEEE Transactions on Visualization and Computer Graphics, IEEE Vis 2019, pp. 1-11, August 22, 2019
