Leonardo Rundo

87 papers A 1B 4C 2Journal 61Unranked 13

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	A Self-Supervised Image Registration Approach for Measuring Local Response Patterns in Metastatic Ovarian Cancer. CoRR Inês Prata Machado, Anna Reithmeir, Fryderyk Victor Kögl, Leonardo Rundo, Gabriel Funingana, Marika Reinius, Gift Mungmeeprued, Zeyu Gao, Cathal McCague, Eric Kerfoot, Ramona Woitek, Evis Sala, Yangming Ou, James D. Brenton, Julia A. Schnabel, Mireia Crispin
2024	—	`conf`	A Self-supervised Image Registration Approach for Measuring Local Response Patterns in Metastatic Ovarian Cancer. WBIR Inês Prata Machado, Anna Reithmeir, Fryderyk Victor Kögl, Leonardo Rundo, Gabriel Funingana, Marika Reinius, Gift Mungmeeprued, Zeyu Gao, Cathal McCague, Eric Kerfoot, Ramona Woitek, Evis Sala, Yangming Ou, James D. Brenton, Julia A. Schnabel, Mireia Crispin
2023	J	`jnl`	Binarized multi-gate mixture of Bayesian experts for cardiac syndrome X diagnosis: A clinician-in-the-loop scenario with a belief-uncertainty fusion paradigm. Inf. Fusion Moloud Abdar, Arash Mehrzadi, Milad Goudarzi, Farzad Masoudkabir, Leonardo Rundo, Mohammad Mamouei, Evis Sala, Abbas Khosravi, Vladimir Makarenkov, U. Rajendra Acharya, Seyedmohammad Saadatagah, Mohammadreza Naderian, Salvador García, Nizal Sarrafzadegan, Saeid Nahavandi
2023	J	`jnl`	CT Radiomic Features and Clinical Biomarkers for Predicting Coronary Artery Disease. Cogn. Comput. Carmelo Militello, Francesco Prinzi, Giulia Sollami, Leonardo Rundo, Ludovico La Grutta, Salvatore Vitabile
2023	J	`jnl`	Calibrating ensembles for scalable uncertainty quantification in deep learning-based medical image segmentation. Comput. Biol. Medicine Thomas Buddenkotte, Lorena Escudero Sanchez, Mireia Crispin-Ortuzar, Ramona Woitek, Cathal McCague, James D. Brenton, Ozan Öktem, Evis Sala, Leonardo Rundo
2023	J	`jnl`	Calibrating the Dice Loss to Handle Neural Network Overconfidence for Biomedical Image Segmentation. J. Digit. Imaging Michael Yeung, Leonardo Rundo, Yang Nan, Evis Sala, Carola-Bibiane Schönlieb, Guang Yang
2023	J	`jnl`	Hercules: Deep Hierarchical Attentive Multilevel Fusion Model With Uncertainty Quantification for Medical Image Classification. IEEE Trans. Ind. Informatics Moloud Abdar, Mohammad Amin Fahami, Leonardo Rundo, Petia Radeva, Alejandro F. Frangi, U. Rajendra Acharya, Abbas Khosravi, Hak-Keung Lam, Alexander Jung, Saeid Nahavandi
2022	J	`jnl`	Brain Tumor Diagnosis Using Machine Learning, Convolutional Neural Networks, Capsule Neural Networks and Vision Transformers, Applied to MRI: A Survey. J. Imaging Andronicus Ayobami Akinyelu, Fulvio Zaccagna, James T. Grist, Mauro Castelli, Leonardo Rundo
2022	J	`jnl`	Calibrating Ensembles for Scalable Uncertainty Quantification in Deep Learning-based Medical Segmentation. CoRR Thomas Buddenkotte, Lorena Escudero Sanchez, Mireia Crispin-Ortuzar, Ramona Woitek, Cathal McCague, James D. Brenton, Ozan Öktem, Evis Sala, Leonardo Rundo
2022	—	`conf`	Focal Attention Networks: Optimising Attention for Biomedical Image Segmentation. ISBI Michael Yeung, Leonardo Rundo, Evis Sala, Carola-Bibiane Schönlieb, Guang Yang
2022	—	`conf`	Imitation Learning for Autonomous Vehicle Driving: How Does the Representation Matter? ICIAP (1) Antonio Greco, Leonardo Rundo, Alessia Saggese, Mario Vento, Antonio Vicinanza
2022	B	`conf`	Joint Intensity Classification and Specimen Segmentation on HEp-2 Images: a Deep Learning Approach. ICPR Gennaro Percannella, Umberto Petruzzello, Pierluigi Ritrovato, Leonardo Rundo, Francesco Tortorella, Mario Vento
2022	J	`jnl`	SMGen: A Generator of Synthetic Models of Biochemical Reaction Networks. Symmetry Simone G. Riva, Paolo Cazzaniga, Marco S. Nobile, Simone Spolaor, Leonardo Rundo, Daniela Besozzi, Andrea Tangherloni
2022	J	`jnl`	Semi-automated and interactive segmentation of contrast-enhancing masses on breast DCE-MRI using spatial fuzzy clustering. Biomed. Signal Process. Control. Carmelo Militello, Leonardo Rundo, Mariangela Dimarco, Alessia Orlando, Vincenzo Conti, Ramona Woitek, Ildebrando D'Angelo, Tommaso Vincenzo Bartolotta, Giorgio Russo
2022	J	`jnl`	Unified Focal loss: Generalising Dice and cross entropy-based losses to handle class imbalanced medical image segmentation. Comput. Medical Imaging Graph. Michael Yeung, Evis Sala, Carola-Bibiane Schönlieb, Leonardo Rundo
2021	J	`jnl`	3D deformable registration of longitudinal abdominopelvic CT images using unsupervised deep learning. Comput. Methods Programs Biomed. Maureen van Eijnatten, Leonardo Rundo, Kees Joost Batenburg, Felix Lucka, Emma Beddowes, Carlos Caldas, Ferdia A. Gallagher, Evis Sala, Carola-Bibiane Schönlieb, Ramona Woitek
2021	J	`jnl`	A CUDA-powered method for the feature extraction and unsupervised analysis of medical images. J. Supercomput. Leonardo Rundo, Andrea Tangherloni, Paolo Cazzaniga, Matteo Mistri, Simone Galimberti, Ramona Woitek, Evis Sala, Giancarlo Mauri, Marco S. Nobile
2021	J	`jnl`	A Computational Study on Temperature Variations in MRgFUS Treatments Using PRF Thermometry Techniques and Optical Probes. J. Imaging Carmelo Militello, Leonardo Rundo, Fabrizio Vicari, Luca Agnello, Giovanni Borasi, Salvatore Vitabile, Giorgio Russo
2021	J	`jnl`	A Mixed Focal Loss Function for Handling Class Imbalanced Medical Image Segmentation. CoRR Michael Yeung, Evis Sala, Carola-Bibiane Schönlieb, Leonardo Rundo
2021	J	`jnl`	A Novel Bio-Inspired Approach for High-Performance Management in Service-Oriented Networks. IEEE Trans. Emerg. Top. Comput. Vincenzo Conti, Carmelo Militello, Leonardo Rundo, Salvatore Vitabile
2021	J	`jnl`	A multimodal retina-iris biometric system using the Levenshtein distance for spatial feature comparison. IET Biom. Vincenzo Conti, Leonardo Rundo, Carmelo Militello, Valerio Mario Salerno, Salvatore Vitabile, Sabato Marco Siniscalchi
2021	J	`jnl`	Advanced Computational Methods for Oncological Image Analysis. J. Imaging Leonardo Rundo, Carmelo Militello, Vincenzo Conti, Fulvio Zaccagna, Changhee Han
2021	J	`jnl`	Advances in Artificial Intelligence to Reduce Polyp Miss Rates during Colonoscopy. CoRR Michael Yeung, Evis Sala, Carola-Bibiane Schönlieb, Leonardo Rundo
2021	J	`jnl`	Calibrating the Dice loss to handle neural network overconfidence for biomedical image segmentation. CoRR Michael Yeung, Leonardo Rundo, Yang Nan, Evis Sala, Carola-Bibiane Schönlieb, Guang Yang
2021	J	`jnl`	Computer-Assisted Analysis of Biomedical Images. CoRR Leonardo Rundo
2021	J	`jnl`	FiCoS: A fine-grained and coarse-grained GPU-powered deterministic simulator for biochemical networks. PLoS Comput. Biol. Andrea Tangherloni, Marco S. Nobile, Paolo Cazzaniga, Giulia Capitoli, Simone Spolaor, Leonardo Rundo, Giancarlo Mauri, Daniela Besozzi
2021	J	`jnl`	Fingerprint Classification Based on Deep Learning Approaches: Experimental Findings and Comparisons. Symmetry Carmelo Militello, Leonardo Rundo, Salvatore Vitabile, Vincenzo Conti
2021	J	`jnl`	Focal Attention Networks: optimising attention for biomedical image segmentation. CoRR Michael Yeung, Leonardo Rundo, Evis Sala, Carola-Bibiane Schönlieb, Guang Yang
2021	J	`jnl`	Focus U-Net: A novel dual attention-gated CNN for polyp segmentation during colonoscopy. Comput. Biol. Medicine Michael Yeung, Evis Sala, Carola-Bibiane Schönlieb, Leonardo Rundo
2021	J	`jnl`	Incorporating Boundary Uncertainty into loss functions for biomedical image segmentation. CoRR Michael Yeung, Guang Yang, Evis Sala, Carola-Bibiane Schönlieb, Leonardo Rundo
2021	J	`jnl`	MADGAN: unsupervised medical anomaly detection GAN using multiple adjacent brain MRI slice reconstruction. BMC Bioinform. Changhee Han, Leonardo Rundo, Kohei Murao, Tomoyuki Noguchi, Yuki Shimahara, Zoltán Ádám Milacski, Saori Koshino, Evis Sala, Hideki Nakayama, Shin'ichi Satoh
2020	J	`jnl`	3D deformable registration of longitudinal abdominopelvic CT images using unsupervised deep learning. CoRR Maureen van Eijnatten, Leonardo Rundo, Kees Joost Batenburg, Felix Lucka, Emma Beddowes, Carlos Caldas, Ferdia A. Gallagher, Evis Sala, Carola-Bibiane Schönlieb, Ramona Woitek
2020	J	`jnl`	A Survey on Nature-Inspired Medical Image Analysis: A Step Further in Biomedical Data Integration. Fundam. Informaticae Leonardo Rundo, Carmelo Militello, Salvatore Vitabile, Giorgio Russo, Evis Sala, Maria Carla Gilardi
2020	—	`conf`	Bridging the Gap Between AI and Healthcare Sides: Towards Developing Clinically Relevant AI-Powered Diagnosis Systems. AIAI (2) Changhee Han, Leonardo Rundo, Kohei Murao, Takafumi Nemoto, Hideki Nakayama
2020	J	`jnl`	Bridging the gap between AI and Healthcare sides: towards developing clinically relevant AI-powered diagnosis systems. CoRR Changhee Han, Leonardo Rundo, Kohei Murao, Takafumi Nemoto, Hideki Nakayama
2020	—	`ch.`	CNN-Based Prostate Zonal Segmentation on T2-Weighted MR Images: A Cross-Dataset Study. Neural Approaches to Dynamics of Signal Exchanges Leonardo Rundo, Changhee Han, Jin Zhang, Ryuichiro Hataya, Yudai Nagano, Carmelo Militello, Claudio Ferretti, Marco S. Nobile, Andrea Tangherloni, Maria Carla Gilardi, Salvatore Vitabile, Hideki Nakayama, Giancarlo Mauri
2020	J	`jnl`	Computational Intelligence for Life Sciences. Fundam. Informaticae Daniela Besozzi, Luca Manzoni, Marco S. Nobile, Simone Spolaor, Mauro Castelli, Leonardo Vanneschi, Paolo Cazzaniga, Stefano Ruberto, Leonardo Rundo, Andrea Tangherloni
2020	J	`jnl`	HCI for biomedical decision-making: From diagnosis to therapy. J. Biomed. Informatics Orazio Gambino, Leonardo Rundo, Roberto Pirrone, Salvatore Vitabile
2020	—	`ch.`	Infinite Brain MR Images: PGGAN-Based Data Augmentation for Tumor Detection. Neural Approaches to Dynamics of Signal Exchanges Changhee Han, Leonardo Rundo, Ryosuke Araki, Yujiro Furukawa, Giancarlo Mauri, Hideki Nakayama, Hideaki Hayashi
2020	J	`jnl`	MADGAN: unsupervised Medical Anomaly Detection GAN using multiple adjacent brain MRI slice reconstruction. CoRR Changhee Han, Leonardo Rundo, Kohei Murao, Tomoyuki Noguchi, Yuki Shimahara, Zoltán Ádám Milacski, Saori Koshino, Evis Sala, Hideki Nakayama, Shin'ichi Satoh
2020	J	`jnl`	MF2C3: Multi-Feature Fuzzy Clustering to Enhance Cell Colony Detection in Automated Clonogenic Assay Evaluation. Symmetry Carmelo Militello, Leonardo Rundo, Luigi Minafra, Francesco Paolo Cammarata, Marco Calvaruso, Vincenzo Conti, Giorgio Russo
2020	J	`jnl`	Recent advances of HCI in decision-making tasks for optimized clinical workflows and precision medicine. J. Biomed. Informatics Leonardo Rundo, Roberto Pirrone, Salvatore Vitabile, Evis Sala, Orazio Gambino
2020	J	`jnl`	Tissue-specific and interpretable sub-segmentation of whole tumour burden on CT images by unsupervised fuzzy clustering. Comput. Biol. Medicine Leonardo Rundo, Lucian Beer, Stephan Ursprung, Paula Martín-González, Florian Markowetz, James D. Brenton, Mireia Crispin-Ortuzar, Evis Sala, Ramona Woitek
2019	J	`jnl`	A novel framework for MR image segmentation and quantification by using MedGA. Comput. Methods Programs Biomed. Leonardo Rundo, Andrea Tangherloni, Paolo Cazzaniga, Marco S. Nobile, Giorgio Russo, Maria Carla Gilardi, Salvatore Vitabile, Giancarlo Mauri, Daniela Besozzi, Carmelo Militello
2019	J	`jnl`	A semi-automatic approach for epicardial adipose tissue segmentation and quantification on cardiac CT scans. Comput. Biol. Medicine Carmelo Militello, Leonardo Rundo, Patrizia Toia, Vincenzo Conti, Giorgio Russo, Clarissa Filorizzo, Erica Maffei, Filippo Cademartiri, Ludovico La Grutta, Massimo Midiri, Salvatore Vitabile
2019	J	`jnl`	Biochemical parameter estimation vs. benchmark functions: A comparative study of optimization performance and representation design. Appl. Soft Comput. Andrea Tangherloni, Simone Spolaor, Paolo Cazzaniga, Daniela Besozzi, Leonardo Rundo, Giancarlo Mauri, Marco S. Nobile
2019	J	`jnl`	CNN-based Prostate Zonal Segmentation on T2-weighted MR Images: A Cross-dataset Study. CoRR Leonardo Rundo, Changhee Han, Jin Zhang, Ryuichiro Hataya, Yudai Nagano, Carmelo Militello, Claudio Ferretti, Marco S. Nobile, Andrea Tangherloni, Maria Carla Gilardi, Salvatore Vitabile, Hideki Nakayama, Giancarlo Mauri
2019	J	`jnl`	Combining Noise-to-Image and Image-to-Image GANs: Brain MR Image Augmentation for Tumor Detection. IEEE Access Changhee Han, Leonardo Rundo, Ryosuke Araki, Yudai Nagano, Yujiro Furukawa, Giancarlo Mauri, Hideki Nakayama, Hideaki Hayashi
2019	J	`jnl`	Combining Noise-to-Image and Image-to-Image GANs: Brain MR Image Augmentation for Tumor Detection. CoRR Changhee Han, Leonardo Rundo, Ryosuke Araki, Yudai Nagano, Yujiro Furukawa, Giancarlo Mauri, Hideki Nakayama, Hideaki Hayashi
2019	—	`—`	Computer-Assisted Analysis of Biomedical Images. Leonardo Rundo
2019	—	`ch.`	Computer-Assisted Approaches for Uterine Fibroid Segmentation in MRgFUS Treatments: Quantitative Evaluation and Clinical Feasibility Analysis. Quantifying and Processing Biomedical and Behavioral Signals Leonardo Rundo, Carmelo Militello, Andrea Tangherloni, Giorgio Russo, Roberto Lagalla, Giancarlo Mauri, Maria Carla Gilardi, Salvatore Vitabile
2019	—	`conf`	Enhancing classification performance of convolutional neural networks for prostate cancer detection on magnetic resonance images: a study with the semantic learning machine. GECCO (Companion) Paulo Lapa, Ivo Gonçalves, Leonardo Rundo, Mauro Castelli
2019	—	`conf`	GAN-Based Multiple Adjacent Brain MRI Slice Reconstruction for Unsupervised Alzheimer's Disease Diagnosis. CIBB Changhee Han, Leonardo Rundo, Kohei Murao, Zoltán Ádám Milacski, Kazuki Umemoto, Evis Sala, Hideki Nakayama, Shin'ichi Satoh
2019	J	`jnl`	GAN-based Multiple Adjacent Brain MRI Slice Reconstruction for Unsupervised Alzheimer's Disease Diagnosis. CoRR Changhee Han, Leonardo Rundo, Kohei Murao, Zoltán Ádám Milacski, Kazuki Umemoto, Hideki Nakayama, Shin'ichi Satoh
2019	J	`jnl`	GenHap: a novel computational method based on genetic algorithms for haplotype assembly. BMC Bioinform. Andrea Tangherloni, Simone Spolaor, Leonardo Rundo, Marco S. Nobile, Paolo Cazzaniga, Giancarlo Mauri, Pietro Liò, Ivan Merelli, Daniela Besozzi
2019	B	`conf`	HaraliCU: GPU-Powered Haralick Feature Extraction on Medical Images Exploiting the Full Dynamics of Gray-Scale Levels. PaCT Leonardo Rundo, Andrea Tangherloni, Simone Galimberti, Paolo Cazzaniga, Ramona Woitek, Evis Sala, Marco S. Nobile, Giancarlo Mauri
2019	J	`jnl`	Infinite Brain MR Images: PGGAN-based Data Augmentation for Tumor Detection. CoRR Changhee Han, Leonardo Rundo, Ryosuke Araki, Yujiro Furukawa, Giancarlo Mauri, Hideki Nakayama, Hideaki Hayashi
2019	A	`conf`	Learning More with Less: Conditional PGGAN-based Data Augmentation for Brain Metastases Detection Using Highly-Rough Annotation on MR Images. CIKM Changhee Han, Kohei Murao, Tomoyuki Noguchi, Yusuke Kawata, Fumiya Uchiyama, Leonardo Rundo, Hideki Nakayama, Shin'ichi Satoh
2019	J	`jnl`	Learning More with Less: Conditional PGGAN-based Data Augmentation for Brain Metastases Detection Using Highly-Rough Annotation on MR images. CoRR Changhee Han, Kohei Murao, Tomoyuki Noguchi, Yusuke Kawata, Fumiya Uchiyama, Leonardo Rundo, Hideki Nakayama, Shin'ichi Satoh
2019	J	`jnl`	MedGA: A novel evolutionary method for image enhancement in medical imaging systems. Expert Syst. Appl. Leonardo Rundo, Andrea Tangherloni, Marco S. Nobile, Carmelo Militello, Daniela Besozzi, Giancarlo Mauri, Paolo Cazzaniga
2019	—	`conf`	Semantic learning machine improves the CNN-Based detection of prostate cancer in non-contrast-enhanced MRI. GECCO (Companion) Paulo Lapa, Ivo Gonçalves, Leonardo Rundo, Mauro Castelli
2019	—	`conf`	Synthesizing Diverse Lung Nodules Wherever Massively: 3D Multi-Conditional GAN-Based CT Image Augmentation for Object Detection. 3DV Changhee Han, Yoshiro Kitamura, Akira Kudo, Akimichi Ichinose, Leonardo Rundo, Yujiro Furukawa, Kazuki Umemoto, Yuanzhong Li, Hideki Nakayama
2019	J	`jnl`	Synthesizing Diverse Lung Nodules Wherever Massively: 3D Multi-Conditional GAN-based CT Image Augmentation for Object Detection. CoRR Changhee Han, Yoshiro Kitamura, Akira Kudo, Akimichi Ichinose, Leonardo Rundo, Yujiro Furukawa, Kazuki Umemoto, Hideki Nakayama, Yuanzhong Li
2019	J	`jnl`	USE-Net: Incorporating Squeeze-and-Excitation blocks into U-Net for prostate zonal segmentation of multi-institutional MRI datasets. Neurocomputing Leonardo Rundo, Changhee Han, Yudai Nagano, Jin Zhang, Ryuichiro Hataya, Carmelo Militello, Andrea Tangherloni, Marco S. Nobile, Claudio Ferretti, Daniela Besozzi, Maria Carla Gilardi, Salvatore Vitabile, Giancarlo Mauri, Hideki Nakayama, Paolo Cazzaniga
2019	J	`jnl`	USE-Net: incorporating Squeeze-and-Excitation blocks into U-Net for prostate zonal segmentation of multi-institutional MRI datasets. CoRR Leonardo Rundo, Changhee Han, Yudai Nagano, Jin Zhang, Ryuichiro Hataya, Carmelo Militello, Andrea Tangherloni, Marco S. Nobile, Claudio Ferretti, Daniela Besozzi, Maria Carla Gilardi, Salvatore Vitabile, Giancarlo Mauri, Hideki Nakayama, Paolo Cazzaniga
2018	J	`jnl`	A framework for data-driven adaptive GUI generation based on DICOM. J. Biomed. Informatics Orazio Gambino, Leonardo Rundo, Vincenzo Cannella, Salvatore Vitabile, Roberto Pirrone
2018	B	`conf`	Computational Intelligence for Parameter Estimation of Biochemical Systems. CEC Marco S. Nobile, Andrea Tangherloni, Leonardo Rundo, Simone Spolaor, Daniela Besozzi, Giancarlo Mauri, Paolo Cazzaniga
2018	—	`ch.`	Fully Automatic Multispectral MR Image Segmentation of Prostate Gland Based on the Fuzzy C-Means Clustering Algorithm. Multidisciplinary Approaches to Neural Computing Leonardo Rundo, Carmelo Militello, Giorgio Russo, Davide D'Urso, Lucia Maria Valastro, Antonio Garufi, Giancarlo Mauri, Salvatore Vitabile, Maria Carla Gilardi
2018	—	`conf`	GAN-based synthetic brain MR image generation. ISBI Changhee Han, Hideaki Hayashi, Leonardo Rundo, Ryosuke Araki, Wataru Shimoda, Shinichi Muramatsu, Yujiro Furukawa, Giancarlo Mauri, Hideki Nakayama
2018	C	`conf`	GPU-Powered Multi-Swarm Parameter Estimation of Biological Systems: A Master-Slave Approach. PDP Andrea Tangherloni, Leonardo Rundo, Simone Spolaor, Paolo Cazzaniga, Marco S. Nobile
2018	J	`jnl`	GTVcut for neuro-radiosurgery treatment planning: an MRI brain cancer seeded image segmentation method based on a cellular automata model. Nat. Comput. Leonardo Rundo, Carmelo Militello, Giorgio Russo, Salvatore Vitabile, Maria Carla Gilardi, Giancarlo Mauri
2018	—	`conf`	High Performance Computing for Haplotyping: Models and Platforms. Euro-Par Workshops Andrea Tangherloni, Leonardo Rundo, Simone Spolaor, Marco S. Nobile, Ivan Merelli, Daniela Besozzi, Giancarlo Mauri, Paolo Cazzaniga, Pietro Liò
2018	J	`jnl`	NeXt for neuro-radiosurgery: A fully automatic approach for necrosis extraction in brain tumor MRI using an unsupervised machine learning technique. Int. J. Imaging Syst. Technol. Leonardo Rundo, Carmelo Militello, Andrea Tangherloni, Giorgio Russo, Salvatore Vitabile, Maria Carla Gilardi, Giancarlo Mauri
2017	J	`jnl`	A fully automatic approach for multimodal PET and MR image segmentation in gamma knife treatment planning. Comput. Methods Programs Biomed. Leonardo Rundo, Alessandro Stefano, Carmelo Militello, Giorgio Russo, Maria Gabriella Sabini, Corrado D'Arrigo, Francesco Marletta, Massimo Ippolito, Giancarlo Mauri, Salvatore Vitabile, Maria Carla Gilardi
2017	J	`jnl`	Area-based cell colony surviving fraction evaluation: A novel fully automatic approach using general-purpose acquisition hardware. Comput. Biol. Medicine Carmelo Militello, Leonardo Rundo, Vincenzo Conti, Luigi Minafra, Francesco Paolo Cammarata, Giancarlo Mauri, Maria Carla Gilardi, Nunziatina Porcino
2017	J	`jnl`	Automated Prostate Gland Segmentation Based on an Unsupervised Fuzzy C-Means Clustering Technique Using Multispectral T1w and T2w MR Imaging. Inf. Leonardo Rundo, Carmelo Militello, Giorgio Russo, Antonio Garufi, Salvatore Vitabile, Maria Carla Gilardi, Giancarlo Mauri
2017	—	`conf`	Estimation of Kinetic Reaction Constants: Exploiting Reboot Strategies to Improve PSO's Performance. CIBB Simone Spolaor, Andrea Tangherloni, Leonardo Rundo, Paolo Cazzaniga, Marco S. Nobile
2017	J	`jnl`	GenHap: A novel computational method based on genetic algorithms for haplotype assembly. PeerJ Prepr. Andrea Tangherloni, Simone Spolaor, Leonardo Rundo, Marco S. Nobile, Ivan Merelli, Paolo Cazzaniga, Daniela Besozzi, Giancarlo Mauri, Pietro Liò
2017	B	`conf`	Proactive Particles in Swarm Optimization: A settings-free algorithm for real-parameter single objective optimization problems. CEC Andrea Tangherloni, Leonardo Rundo, Marco S. Nobile
2017	C	`conf`	Reboot strategies in particle swarm optimization and their impact on parameter estimation of biochemical systems. CIBCB Simone Spolaor, Andrea Tangherloni, Leonardo Rundo, Marco S. Nobile, Paolo Cazzaniga
2017	J	`jnl`	Resource-Efficient Hardware Implementation of a Neural-based Node for Automatic Fingerprint Classification. J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl. Vincenzo Conti, Leonardo Rundo, Carmelo Militello, Giancarlo Mauri, Salvatore Vitabile
2016	J	`jnl`	Combining split-and-merge and multi-seed region growing algorithms for uterine fibroid segmentation in MRgFUS treatments. Medical Biol. Eng. Comput. Leonardo Rundo, Carmelo Militello, Salvatore Vitabile, Carlo Casarino, Giorgio Russo, Massimo Midiri, Maria Carla Gilardi
2016	—	`conf`	Multimodal medical image registration using Particle Swarm Optimization: A review. SSCI Leonardo Rundo, Andrea Tangherloni, Carmelo Militello, Maria Carla Gilardi, Giancarlo Mauri
2016	—	`conf`	Neuro-Radiosurgery Treatments: MRI Brain Tumor Seeded Image Segmentation Based on a Cellular Automata Model. ACRI Leonardo Rundo, Carmelo Militello, Giorgio Russo, Pietro Pisciotta, Lucia Maria Valastro, Maria Gabriella Sabini, Salvatore Vitabile, Maria Carla Gilardi, Giancarlo Mauri
2016	—	`ch.`	Semi-automatic Brain Lesion Segmentation in Gamma Knife Treatments Using an Unsupervised Fuzzy C-Means Clustering Technique. Advances in Neural Networks Leonardo Rundo, Carmelo Militello, Salvatore Vitabile, Giorgio Russo, Pietro Pisciotta, Francesco Marletta, Massimo Ippolito, Corrado D'Arrigo, Massimo Midiri, Maria Carla Gilardi
2015	J	`jnl`	A fully automatic 2D segmentation method for uterine fibroid in MRgFUS treatment evaluation. Comput. Biol. Medicine Carmelo Militello, Salvatore Vitabile, Leonardo Rundo, Giorgio Russo, Massimo Midiri, Maria Carla Gilardi
2015	J	`jnl`	Gamma Knife treatment planning: MR brain tumor segmentation and volume measurement based on unsupervised Fuzzy C-Means clustering. Int. J. Imaging Syst. Technol. Carmelo Militello, Leonardo Rundo, Salvatore Vitabile, Giorgio Russo, Pietro Pisciotta, Francesco Marletta, Massimo Ippolito, Corrado D'Arrigo, Massimo Midiri, Maria Carla Gilardi