Selected publications from the MIDI Lab
2025
- Yang, Shi, Jin, Huang, Kuang, Wei, Gu, Liu, Liu, Chai, Xiao, Chen, Xu, Du, Yan, Tang, Alessio, Holste, Zhang, Wang, He, Che, Pfister, Li, Ni. “Deep Rib Fracture Instance Segmentation and Classification from CT on the RibFrac Challenge*.” IEEE Trans Med Imaging,* https://doi.org/10.1109/TMI.2025.3565514
- Oviedo, Kazerouni, Liznerski, Xu,Hirano, Vandermeulen, Kloft, Blum, Alessio, Li, Weeks, Dodhia, Lavista Ferres, Rahbar, Partridge, “Cancer detection in breast MRI screening via explainable artificial intelligence anomaly detection.” Radiology, https://doi.org/10.1148/radiol.241629
- Loveless, Rosenman, Wang, Alessio, “Characterizing Inherent Image Ordinality to Improve Multiclass Classification,” SPIE Medical Imaging, 2025 https://doi.org/10.1117/12.3048925
- Liu, Huang, Loveless, Borek, Rosenman, Alessio, Wang, “Deep Learning Algorithm for Pneumoconiosis Staging on Chest Radiographs,” SPIE Medical Imaging, 2025.
2024
- Burkow, Holste, Otjen, Perez, Junewick, Zbojniewicz, Romberg, Menashe, Frost, Alessio, "High sensitivity methods for automated rib fracture detection in pediatric radiographs." Scientific Reports 14, 8372, 2024. https://doi.org/10.1038/s41598-024-59077-5
- Tu, Burkow, Tsai, Junewick, Perez, Otjen, Alessio, "Near-Pair Patch Generative Adversarial Network for Data Augmentation of Focal Pathology Object Detection Models," Journal of Medical Imaging (SPIE), Vol. 11:3, June 2024, https://doi.org/10.1117/1.JMI.11.3.034505
- Khan, Klochko, Cooper, Franz, Wolf, Alessio, Soliman, "Skeletal Muscle Ultrasound Radiomics and Machine Learning for the Earlier Detection of Type 2 Diabetes Mellitus," Journal of Medical Ultrasound June 2024. https://doi.org/10.4103/jmu.jmu_12_24
- Khan, Shen, Bhurke, Alessio, Arora, "Analysis pipeline to quantify uterine gland structural variations," Developmental Dynamics, 2024 https://doi:10.1002/dvdy.757
- Liu, Loveless, Huang, Rosenman, Wang, Alessio, "Deep Learning Methods for Multi-class Pneumoconioses Grading of Chest Radiographs," SPIE Medical Imaging, 2024 https://doi.org/10.1117/12.3006266
2023
- Abouhawwash and Alessio, "Evolutionary Optimization of Multiple Machine Learned Objectives for PET Image Reconstruction," IEEE Transactions on Radiation and Plasma Medical Sciences, vol. 7, no. 3, pp. 273-283, March 2023.
- Wollenweber, Alessio, Kinahan, "Phantom and methodology for comparison of small lesion detectability in PET," Medical Physics, vol. 50:5, pp 2998-3007, 2023.
- Pawelec et al., "Incorporating Tantalum Oxide Nanoparticles into Implantable Polymeric Biomedical Devices for Radiological Monitoring," Advanced Healthcare Materials, 2023.
- Hayat, Wang, Sun, Mallett, Nigam, Redman, Bunn, Gjelaj, Talebloo, Alessio, Moore, Zinn, Wei, Fan, Wang, “Deep Learning Enabled Quantification of Simultaneous PET/MRI for Cell Transplantation Monitoring,” iScience, 6/2023, doi.org/10.1016/j.isci.2023.107083.
- Xu, McCandless, Miller, Alessio, Morrison, “Machine Learned Algorithms to Predict the Risk of Pneumothorax Requiring Chest Tube Placement after Lung Biopsy,” J of Vascular and Interventional Radiology, https://doi.org/10.1016/j.jvir.2023.08.016, 2023.
2021