Published in River Publishers, 2025
A step-by-step guide to the analysis and interpretation of biomedical data, covering the computational and statistical methods used in modern biomedical research.
Recommended citation: Cascino D.L., Gatti G., Unwith S., Matarazzo L.S., Riva S.G., Damiani G., Tangherloni A. (2025). Biomedical Data Science: A Step-by-Step Guide to Analysis and Interpretation. River Publishers.
Published in Neural Approaches to Dynamics of Signal Exchanges (Springer), 2020
A study of the generalization ability of CNNs (SegNet, U-Net, pix2pix) for prostate central-gland and peripheral-zone segmentation across two multi-centric MRI datasets.
Recommended citation: Rundo L., Han C., Zhang J., Hataya R., Nagano Y., Militello C., Ferretti C., Nobile M.S., Tangherloni A., Gilardi M.C., Vitabile S., Nakayama H., Mauri G. (2020). CNN-Based Prostate Zonal Segmentation on T2-Weighted MR Images: A Cross-Dataset Study. In Neural Approaches to Dynamics of Signal Exchanges, 151: 269-280, Springer.
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Published in Quantifying and Processing Biomedical and Behavioral Signals (Springer), 2018
Computer-assisted approaches for uterine fibroid segmentation in MRgFUS treatments, with a quantitative evaluation of the methods and a clinical feasibility analysis.
Recommended citation: Rundo L., Militello C., Tangherloni A., Russo G., Lagalla R., Mauri G., Gilardi M.C., Vitabile S. (2018). Computer-assisted Approaches for Uterine Fibroid Segmentation in MRgFUS Treatments: Quantitative Evaluation and Clinical Feasibility Analysis. In Quantifying and Processing Biomedical and Behavioral Signals, Smart Innovation, Systems and Technologies, 103: 229-241, Springer.
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Published in Quantitative Biology: Theory, Computational Methods, and Models (MIT Press), 2018
A chapter on accelerating stochastic simulations of mechanistic biological models on GPUs, discussing the advantages and the practical issues of parallelization.
Recommended citation: Cazzaniga P., Nobile M.S., Tangherloni A., Besozzi D. (2018). Accelerating stochastic simulations of mechanistic models of biological systems: Advantages and issues in the parallelization on Graphics Processing Units. In Quantitative Biology: Theory, Computational Methods, and Models, 423-440, MIT Press.