Radu Paul Mihail, Ph.D.

Education:

• Ph.D. in Computer Science, University of Kentucky (2014)
• B.S. in Computer Science, Eastern Kentucky University (2009)

Teaching Interests:

• Artificial Intelligence
• Machine Learning
• Computer Vision
• Computer Graphics

Research Interests:

• Oncologic pathology modeling from medical imagery using deep learning models
• Explainability (xAI) in medical image processing pipelines
• Generative modeling of pathology in musculoskeletal diseases
• Outdoor image processing and understanding

Selected Publications:

• Franck P. Vidal, Shaghayegh Afshari, Sharif Ahmed, Alberto Albiol, Francisco Albiol, Éric Béchet, Alberto Corbí Bellot , Stefan Bosse, Simon Burkhard, Younes Chahid, Cheng-Ying Chou, Robert Culver, Pascal Desbarats, Lewis Dixon, Johan Friemann, Amin Garbout, Marcos García-Lorenzo, Jean-François Giovannelli, Ross Hanna, Clémentine Hatton , Audrey Henry, Graham Kelly, Christophe Leblanc, Alberto Leonardi, Jean Michel Létang, Harry Lipscomb, Tristan Manchester, Bas Meere, Claire Michelet, Simon Middleburgh, Radu P. Mihail, Iwan Mitchell, Liam Perera, Martí Puig, Malek Racy, Ali Rouwane, Hervé Seznec, Aaron Sújar, Jenna Tugwell-Allsup, Pierre-Frédéric Villard. ``X-ray simulations with gVXR in education, digital twining, experiment planning, and data analysis''. Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms. Volume 568, November 2025.
• Franck Vidal, Shaghayegh Afshari, Alberto Albiol, Alberto Corbi Bellot, Anna Louise Brun, Chengy-Ying Chou, Pascal Desbarats, Marcos García, Jean-Francois Giovannelli, Clémentine Hatton, Audrey Henry, Graham Kelly, Claire Michelet, Radu P. Mihail, Malek Racy, Ali Rouwane, Herve Seznec, Jenna Tugwell-Allsup, Pierre-Frédéric Villard. ``X-ray simulations with gVirtualXray in medicine and life sciences'' Eurographics Conference on Visualization (EUROVIS 2025), Jun 2025, Luxembourg, Luxembourg. ff10.2312/evm.20251974ff.
• Ahana Roy Choudhury; Radu Paul Mihail; Sorin Dan Chiriac. ``Using Ultra-Sound Images and a Multi-Task, Explainable Approach for Thyroid Cancer Detection'' 2024 IEEE 24th International Conference on Bioinformatics and Bioengineering (BIBE). 2024.
• Ahana Roy Choudhury, Krishnapriya Kottakkal Sugathan, Chase Vaughan, Radu Paul Mihail. “How do Low-Level Image Features affect CNN-Based Face Detector Accuracy?” IEEE Conference on Systems, Man, and Cybernetics (SMC). 2023
• Ahana Roy Choudhury, Radu Paul Mihail, and Sorin Dan Chiriac. "Prediction of Thyroid Malignancy Using Contextual Semantic Interpretability from Sonograms." International Symposium on Biomedical Image (BIOIMAGING). 2023.
• Wen, Tianci, Radu P. Mihail, and Franck P. Vidal. "3D-2d registration using X-Ray simulation and CMA-ES." International Conference on the Applications of Evolutionary Computation (Part of EvoStar). Springer International Publishing, 2021.
• Wen, Tianci, Radu P. Mihail, Shatha F. Al-Maliki, Jean-Michel Létang, and Franck P. Vidal.. "Registration of 3D Triangular Models to 2D X-ray Projections Using Black-box Optimisation and X-ray Simulation." Computer Graphics and Visual Computing (CGVC). 2019.
• Mihail, Radu Paul, Gongbo Liang, and Nathan Jacobs. "Automatic hand skeletal shape estimation from radiographs." IEEE transactions on nanobioscience 18.3 (2019): 296-305.
• Mihail, Radu Paul, and Nathan Jacobs. "Automatic hand skeletal shape estimation from radiographs." IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 2018.
• R Paul Mihail, Wesley Cook, Brandi Griffin, Corey Anderson. ``Vegetation Density Estimation in the Wild'', The Annual ACM Southeast Conference (ACMSE), 2018.
• Judy Goldsmith, R. Paul Mihail ``Kinesthetic Touches For a Theory of Computing Class'', The 12th International Conference on Frontiers in Education: Computer Science and Computer Engineering (FECS), 2016.
• R. Paul Mihail, Krishnendu Roy. ``Closed Labs in Programming Courses: A Review'', The 12th International Conference on Frontiers in Education: Computer Science and Computer Engineering (FECS), 2016.
• R. Paul Mihail, Scott Workman, Zachary Bessinger, Nathan Jacobs. ``Sky Segmentation in the Wild: an Empirical Study'', Winter Conference on Applications of Computer Vision (WACV), 2016.
• Scott Workman, R. Paul Mihail, Nathan Jacobs. ``A Pot of Gold: Rainbows as a Calibration Cue?'', European Conference on Computer Vision (ECCV), 2014.