A quantum-inspired classifier for clonogenic assay evaluations von Sergioli, Giuseppe, Militello, Carmelo, Rundo, Leonardo, Minafra, Luigi, Torrisi, Filippo, Russo, Giorgio, Chow, Keng Loon, Giuntini, Roberto

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A Novel Bio-Inspired Approach for High-Performance Management in Service-Oriented Networks von Conti, Vincenzo, Militello, Carmelo, Rundo, Leonardo, Vitabile, Salvatore

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Image biomarkers and explainable AI: handcrafted features versus deep learned features von Rundo, Leonardo, Militello, Carmelo

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Fingerprint Classification Based on Deep Learning Approaches: Experimental Findings and Comparisons von Militello, Carmelo, Rundo, Leonardo, Vitabile, Salvatore, Conti, Vincenzo

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Explainable Machine-Learning Models for COVID-19 Prognosis Prediction Using Clinical, Laboratory and Radiomic Features von Prinzi, Francesco, Militello, Carmelo, Scichilone, Nicola, Gaglio, Salvatore, Vitabile, Salvatore

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Transformer-Based Approach to Melanoma Detection von Cirrincione, Giansalvo, Cannata, Sergio, Cicceri, Giovanni, Prinzi, Francesco, Currieri, Tiziana, Lovino, Marta, Militello, Carmelo, Pasero, Eros, Vitabile, Salvatore

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Impact of Wavelet Kernels on Predictive Capability of Radiomic Features: A Case Study on COVID-19 Chest X-ray Images von Prinzi, Francesco, Militello, Carmelo, Conti, Vincenzo, Vitabile, Salvatore

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Artificial Intelligence Applied to Medical Imaging and Computational Biology von Rundo, Leonardo, Tangherloni, Andrea, Militello, Carmelo

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GTVcut for neuro-radiosurgery treatment planning: an MRI brain cancer seeded image segmentation method based on a cellular automata model von Rundo, Leonardo, Militello, Carmelo, Russo, Giorgio, Vitabile, Salvatore, Gilardi, Maria Carla, Mauri, Giancarlo

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NeXt for neuro‐radiosurgery: A fully automatic approach for necrosis extraction in brain tumor MRI using an unsupervised machine learning technique von Rundo, Leonardo, Militello, Carmelo, Tangherloni, Andrea, Russo, Giorgio, Vitabile, Salvatore, Gilardi, Maria Carla, Mauri, Giancarlo

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Combining split-and-merge and multi-seed region growing algorithms for uterine fibroid segmentation in MRgFUS treatments von Rundo, Leonardo, Militello, Carmelo, Vitabile, Salvatore, Casarino, Carlo, Russo, Giorgio, Midiri, Massimo, Gilardi, Maria Carla

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A Fully Automatic Approach for Multimodal PET and MR Image Segmentation in Gamma Knife Treatment Planning von Rundo, Leonardo, Stefano, Alessandro, Militello, Carmelo, Russo, Giorgio, Sabini, Maria Gabriella, D'Arrigo, Corrado, Marletta, Francesco, Ippolito, Massimo, Mauri, Giancarlo, Vitabile, Salvatore, Gilardi, Maria Carla

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A multimodal retina‐iris biometric system using the Levenshtein distance for spatial feature comparison von Conti, Vincenzo, Rundo, Leonardo, Militello, Carmelo, Salerno, Valerio Mario, Vitabile, Salvatore, Siniscalchi, Sabato Marco

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A fully automatic 2D segmentation method for uterine fibroid in MRgFUS treatment evaluation von Militello, Carmelo, Vitabile, Salvatore, Rundo, Leonardo, Russo, Giorgio, Midiri, Massimo, Gilardi, Maria Carla

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Artificial intelligence-based, semi-automated segmentation for the extraction of ultrasound-derived radiomics features in breast cancer: a prospective multicenter study von Bartolotta, Tommaso Vincenzo, Militello, Carmelo, Prinzi, Francesco, Ferraro, Fabiola, Rundo, Leonardo, Zarcaro, Calogero, Dimarco, Mariangela, Orlando, Alessia Angela Maria, Matranga, Domenica, Vitabile, Salvatore

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Advanced Computational Methods for Oncological Image Analysis von Rundo, Leonardo, Militello, Carmelo, Conti, Vincenzo, Zaccagna, Fulvio, Han, Changhee

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On Unsupervised Methods for Medical Image Segmentation: Investigating Classic Approaches in Breast Cancer DCE-MRI von Militello, Carmelo, Ranieri, Andrea, Rundo, Leonardo, D’Angelo, Ildebrando, Marinozzi, Franco, Bartolotta, Tommaso Vincenzo, Bini, Fabiano, Russo, Giorgio

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Robustness Analysis of DCE-MRI-Derived Radiomic Features in Breast Masses: Assessing Quantization Levels and Segmentation Agreement von Militello, Carmelo, Rundo, Leonardo, Dimarco, Mariangela, Orlando, Alessia, D’Angelo, Ildebrando, Conti, Vincenzo, Bartolotta, Tommaso Vincenzo

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Biological and Mechanical Characterization of the Random Positioning Machine (RPM) for Microgravity Simulations von Calvaruso, Marco, Militello, Carmelo, Minafra, Luigi, La Regina, Veronica, Torrisi, Filippo, Pucci, Gaia, Cammarata, Francesco P., Bravatà, Valentina, Forte, Giusi I., Russo, Giorgio

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MF2C3: Multi-Feature Fuzzy Clustering to Enhance Cell Colony Detection in Automated Clonogenic Assay Evaluation von Militello, Carmelo, Rundo, Leonardo, Minafra, Luigi, Cammarata, Francesco Paolo, Calvaruso, Marco, Conti, Vincenzo, Russo, Giorgio

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