A fully automatic 2D segmentation method for uterine fibroid in MRgFUS treatment evaluation. - Carmelo Militello; Salvatore Vitabile; Leonardo Rundo; Giorgio Russo; Massimo Midiri; Maria Carla Gilardi (Comput. Biol. Medicine, 2015)

Gamma Knife treatment planning: MR brain tumor segmentation and volume measurement based on unsupervised Fuzzy C-Means clustering. - Carmelo Militello; Leonardo Rundo; Salvatore Vitabile; Giorgio Russo; Pietro Pisciotta; Francesco Marletta; Massimo Ippolito; Corrado D'Arrigo; Massimo Midiri; Maria Carla Gilardi (Int. J. Imaging Syst. Technol., 2015)

Neuro-Radiosurgery Treatments: MRI Brain Tumor Seeded Image Segmentation Based on a Cellular Automata Model. - Leonardo Rundo; Carmelo Militello; Giorgio Russo; Pietro Pisciotta; Lucia Maria Valastro; Maria Gabriella Sabini; Salvatore Vitabile; Maria Carla Gilardi; Giancarlo Mauri (ACRI, 2016)

Multimodal medical image registration using Particle Swarm Optimization: A review. - Leonardo Rundo; Andrea Tangherloni; Carmelo Militello; Maria Carla Gilardi; Giancarlo Mauri (SSCI, 2016)

Combining split-and-merge and multi-seed region growing algorithms for uterine fibroid segmentation in MRgFUS treatments. - Leonardo Rundo; Carmelo Militello; Salvatore Vitabile; Carlo Casarino; Giorgio Russo; Massimo Midiri; Maria Carla Gilardi (Medical Biol. Eng. Comput., 2016)

Semi-automatic Brain Lesion Segmentation in Gamma Knife Treatments Using an Unsupervised Fuzzy C-Means Clustering Technique. - Leonardo Rundo; Carmelo Militello; Salvatore Vitabile; Giorgio Russo; Pietro Pisciotta; Francesco Marletta; Massimo Ippolito; Corrado D'Arrigo; Massimo Midiri; Maria Carla Gilardi (Advances in Neural Networks, 2016)

Proactive Particles in Swarm Optimization: A settings-free algorithm for real-parameter single objective optimization problems. - Andrea Tangherloni; Leonardo Rundo; Marco S. Nobile (CEC, 2017)

Estimation of Kinetic Reaction Constants: Exploiting Reboot Strategies to Improve PSO's Performance. - Simone Spolaor; Andrea Tangherloni; Leonardo Rundo; Paolo Cazzaniga; Marco S. Nobile (CIBB, 2017)

Reboot strategies in particle swarm optimization and their impact on parameter estimation of biochemical systems. - Simone Spolaor; Andrea Tangherloni; Leonardo Rundo; Marco S. Nobile; Paolo Cazzaniga (CIBCB, 2017)

Area-based cell colony surviving fraction evaluation: A novel fully automatic approach using general-purpose acquisition hardware. - Carmelo Militello; Leonardo Rundo; Vincenzo Conti; Luigi Minafra; Francesco Paolo Cammarata; Giancarlo Mauri; Maria Carla Gilardi; Nunziatina Porcino (Comput. Biol. Medicine, 2017)

A fully automatic approach for multimodal PET and MR image segmentation in gamma knife treatment planning. - 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 (Comput. Methods Programs Biomed., 2017)

Automated Prostate Gland Segmentation Based on an Unsupervised Fuzzy C-Means Clustering Technique Using Multispectral T1w and T2w MR Imaging. - Leonardo Rundo; Carmelo Militello; Giorgio Russo; Antonio Garufi; Salvatore Vitabile; Maria Carla Gilardi; Giancarlo Mauri (Inf., 2017)

Resource-Efficient Hardware Implementation of a Neural-based Node for Automatic Fingerprint Classification. - Vincenzo Conti; Leonardo Rundo; Carmelo Militello; Giancarlo Mauri; Salvatore Vitabile (J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl., 2017)

Computational Intelligence for Parameter Estimation of Biochemical Systems. - Marco S. Nobile; Andrea Tangherloni; Leonardo Rundo; Simone Spolaor; Daniela Besozzi; Giancarlo Mauri; Paolo Cazzaniga (CEC, 2018)

High Performance Computing for Haplotyping: Models and Platforms. - Andrea Tangherloni; Leonardo Rundo; Simone Spolaor; Marco S. Nobile; Ivan Merelli; Daniela Besozzi; Giancarlo Mauri; Paolo Cazzaniga; Pietro Liò (Euro-Par Workshops, 2018)

GAN-based synthetic brain MR image generation. - Changhee Han; Hideaki Hayashi; Leonardo Rundo; Ryosuke Araki; Wataru Shimoda; Shinichi Muramatsu; Yujiro Furukawa; Giancarlo Mauri; Hideki Nakayama (ISBI, 2018)

GPU-Powered Multi-Swarm Parameter Estimation of Biological Systems: A Master-Slave Approach. - Andrea Tangherloni; Leonardo Rundo; Simone Spolaor; Paolo Cazzaniga; Marco S. Nobile (PDP, 2018)

NeXt for neuro-radiosurgery: A fully automatic approach for necrosis extraction in brain tumor MRI using an unsupervised machine learning technique. - Leonardo Rundo; Carmelo Militello; Andrea Tangherloni; Giorgio Russo; Salvatore Vitabile; Maria Carla Gilardi; Giancarlo Mauri (Int. J. Imaging Syst. Technol., 2018)

A framework for data-driven adaptive GUI generation based on DICOM. - Orazio Gambino; Leonardo Rundo; Vincenzo Cannella; Salvatore Vitabile; Roberto Pirrone (J. Biomed. Informatics, 2018)

GTVcut for neuro-radiosurgery treatment planning: an MRI brain cancer seeded image segmentation method based on a cellular automata model. - Leonardo Rundo; Carmelo Militello; Giorgio Russo; Salvatore Vitabile; Maria Carla Gilardi; Giancarlo Mauri (Nat. Comput., 2018)

Fully Automatic Multispectral MR Image Segmentation of Prostate Gland Based on the Fuzzy C-Means Clustering Algorithm. - Leonardo Rundo; Carmelo Militello; Giorgio Russo; Davide D'Urso; Lucia Maria Valastro; Antonio Garufi; Giancarlo Mauri; Salvatore Vitabile; Maria Carla Gilardi (Multidisciplinary Approaches to Neural Computing, 2018)

Synthesizing Diverse Lung Nodules Wherever Massively: 3D Multi-Conditional GAN-Based CT Image Augmentation for Object Detection. - Changhee Han; Yoshiro Kitamura; Akira Kudo; Akimichi Ichinose; Leonardo Rundo; Yujiro Furukawa; Kazuki Umemoto; Yuanzhong Li; Hideki Nakayama (3DV, 2019)

GAN-Based Multiple Adjacent Brain MRI Slice Reconstruction for Unsupervised Alzheimer's Disease Diagnosis. - Changhee Han; Leonardo Rundo; Kohei Murao; Zoltán Ádám Milacski; Kazuki Umemoto; Evis Sala; Hideki Nakayama; Shin'ichi Satoh 001 (CIBB, 2019)

Learning More with Less: Conditional PGGAN-based Data Augmentation for Brain Metastases Detection Using Highly-Rough Annotation on MR Images. - Changhee Han; Kohei Murao; Tomoyuki Noguchi; Yusuke Kawata; Fumiya Uchiyama; Leonardo Rundo; Hideki Nakayama; Shin'ichi Satoh 001 (CIKM, 2019)

Enhancing classification performance of convolutional neural networks for prostate cancer detection on magnetic resonance images: a study with the semantic learning machine. - Paulo Lapa; Ivo Gonçalves; Leonardo Rundo; Mauro Castelli (GECCO (Companion), 2019)

Semantic learning machine improves the CNN-Based detection of prostate cancer in non-contrast-enhanced MRI. - Paulo Lapa; Ivo Gonçalves; Leonardo Rundo; Mauro Castelli (GECCO (Companion), 2019)

HaraliCU: GPU-Powered Haralick Feature Extraction on Medical Images Exploiting the Full Dynamics of Gray-Scale Levels. - Leonardo Rundo; Andrea Tangherloni; Simone Galimberti; Paolo Cazzaniga; Ramona Woitek; Evis Sala; Marco S. Nobile; Giancarlo Mauri (PaCT, 2019)

Combining Noise-to-Image and Image-to-Image GANs: Brain MR Image Augmentation for Tumor Detection. - Changhee Han; Leonardo Rundo; Ryosuke Araki; Yudai Nagano; Yujiro Furukawa; Giancarlo Mauri; Hideki Nakayama; Hideaki Hayashi (IEEE Access, 2019)

Biochemical parameter estimation vs. benchmark functions: A comparative study of optimization performance and representation design. - Andrea Tangherloni; Simone Spolaor; Paolo Cazzaniga; Daniela Besozzi; Leonardo Rundo; Giancarlo Mauri; Marco S. Nobile (Appl. Soft Comput., 2019)

GenHap: a novel computational method based on genetic algorithms for haplotype assembly. - Andrea Tangherloni; Simone Spolaor; Leonardo Rundo; Marco S. Nobile; Paolo Cazzaniga; Giancarlo Mauri; Pietro Liò; Ivan Merelli; Daniela Besozzi (BMC Bioinform., 2019)

A semi-automatic approach for epicardial adipose tissue segmentation and quantification on cardiac CT scans. - Carmelo Militello; Leonardo Rundo; Patrizia Toia; Vincenzo Conti; Giorgio Russo; Clarissa Filorizzo; Erica Maffei; Filippo Cademartiri; Ludovico La Grutta; Massimo Midiri; Salvatore Vitabile (Comput. Biol. Medicine, 2019)

A novel framework for MR image segmentation and quantification by using MedGA. - Leonardo Rundo; Andrea Tangherloni; Paolo Cazzaniga; Marco S. Nobile; Giorgio Russo; Maria Carla Gilardi; Salvatore Vitabile; Giancarlo Mauri; Daniela Besozzi; Carmelo Militello (Comput. Methods Programs Biomed., 2019)

Infinite Brain MR Images: PGGAN-based Data Augmentation for Tumor Detection. - Changhee Han; Leonardo Rundo; Ryosuke Araki; Yujiro Furukawa; Giancarlo Mauri; Hideki Nakayama; Hideaki Hayashi (CoRR, 2019)

CNN-based Prostate Zonal Segmentation on T2-weighted MR Images: A Cross-dataset Study. - 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; et al. (CoRR, 2019)

GAN-based Multiple Adjacent Brain MRI Slice Reconstruction for Unsupervised Alzheimer's Disease Diagnosis. - Changhee Han; Leonardo Rundo; Kohei Murao; Zoltán Ádám Milacski; Kazuki Umemoto; Hideki Nakayama; Shin'ichi Satoh 001 (CoRR, 2019)

MedGA: A novel evolutionary method for image enhancement in medical imaging systems. - Leonardo Rundo; Andrea Tangherloni; Marco S. Nobile; Carmelo Militello; Daniela Besozzi; Giancarlo Mauri; Paolo Cazzaniga (Expert Syst. Appl., 2019)

USE-Net: Incorporating Squeeze-and-Excitation blocks into U-Net for prostate zonal segmentation of multi-institutional MRI datasets. - 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; et al. (Neurocomputing, 2019)

Computer-Assisted Analysis of Biomedical Images. - Leonardo Rundo (2019)

Computer-Assisted Approaches for Uterine Fibroid Segmentation in MRgFUS Treatments: Quantitative Evaluation and Clinical Feasibility Analysis. - Leonardo Rundo; Carmelo Militello; Andrea Tangherloni; Giorgio Russo; Roberto Lagalla; Giancarlo Mauri; Maria Carla Gilardi; Salvatore Vitabile (Quantifying and Processing Biomedical and Behavioral Signals, 2019)

Bridging the Gap Between AI and Healthcare Sides: Towards Developing Clinically Relevant AI-Powered Diagnosis Systems. - Changhee Han; Leonardo Rundo; Kohei Murao; Takafumi Nemoto; Hideki Nakayama (AIAI (2), 2020)

Tissue-specific and interpretable sub-segmentation of whole tumour burden on CT images by unsupervised fuzzy clustering. - Leonardo Rundo; Lucian Beer; Stephan Ursprung; Paula Martin-Gonzalez; Florian Markowetz; James D. Brenton; Mireia Crispin-Ortuzar; Evis Sala; Ramona Woitek (Comput. Biol. Medicine, 2020)

Computational Intelligence for Life Sciences. - Daniela Besozzi; Luca Manzoni; Marco S. Nobile; Simone Spolaor; Mauro Castelli; Leonardo Vanneschi; Paolo Cazzaniga; Stefano Ruberto; Leonardo Rundo; Andrea Tangherloni (Fundam. Informaticae, 2020)

A Survey on Nature-Inspired Medical Image Analysis: A Step Further in Biomedical Data Integration. - Leonardo Rundo; Carmelo Militello; Salvatore Vitabile; Giorgio Russo; Evis Sala; Maria Carla Gilardi (Fundam. Informaticae, 2020)

HCI for biomedical decision-making: From diagnosis to therapy. - Orazio Gambino; Leonardo Rundo; Roberto Pirrone; Salvatore Vitabile (J. Biomed. Informatics, 2020)

Recent advances of HCI in decision-making tasks for optimized clinical workflows and precision medicine. - Leonardo Rundo; Roberto Pirrone; Salvatore Vitabile; Evis Sala; Orazio Gambino (J. Biomed. Informatics, 2020)

MF2C3: Multi-Feature Fuzzy Clustering to Enhance Cell Colony Detection in Automated Clonogenic Assay Evaluation. - Carmelo Militello; Leonardo Rundo; Luigi Minafra; Francesco Paolo Cammarata; Marco Calvaruso; Vincenzo Conti; Giorgio Russo (Symmetry, 2020)

Infinite Brain MR Images: PGGAN-Based Data Augmentation for Tumor Detection. - Changhee Han; Leonardo Rundo; Ryosuke Araki; Yujiro Furukawa; Giancarlo Mauri; Hideki Nakayama; Hideaki Hayashi (Neural Approaches to Dynamics of Signal Exchanges, 2020)

CNN-Based Prostate Zonal Segmentation on T2-Weighted MR Images: A Cross-Dataset Study. - 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; et al. (Neural Approaches to Dynamics of Signal Exchanges, 2020)

MADGAN: unsupervised medical anomaly detection GAN using multiple adjacent brain MRI slice reconstruction. - Changhee Han; Leonardo Rundo; Kohei Murao; Tomoyuki Noguchi; Yuki Shimahara; Zoltán Ádám Milacski; Saori Koshino; Evis Sala; Hideki Nakayama; Shin'ichi Satoh 001 (BMC Bioinform., 2021)

Focus U-Net: A novel dual attention-gated CNN for polyp segmentation during colonoscopy. - Michael Yeung; Evis Sala; Carola-Bibiane Schönlieb; Leonardo Rundo (Comput. Biol. Medicine, 2021)

3D deformable registration of longitudinal abdominopelvic CT images using unsupervised deep learning. - Maureen van Eijnatten; Leonardo Rundo; Kees Joost Batenburg; Felix Lucka; Emma Beddowes; Carlos Caldas; Ferdia A. Gallagher; Evis Sala; Carola-Bibiane Schönlieb; Ramona Woitek (Comput. Methods Programs Biomed., 2021)

A Mixed Focal Loss Function for Handling Class Imbalanced Medical Image Segmentation. - Michael Yeung; Evis Sala; Carola-Bibiane Schönlieb; Leonardo Rundo (CoRR, 2021)

Advances in Artificial Intelligence to Reduce Polyp Miss Rates during Colonoscopy. - Michael Yeung; Evis Sala; Carola-Bibiane Schönlieb; Leonardo Rundo (CoRR, 2021)

Computer-Assisted Analysis of Biomedical Images. - Leonardo Rundo (CoRR, 2021)

Incorporating Boundary Uncertainty into loss functions for biomedical image segmentation. - Michael Yeung; Guang Yang 006; Evis Sala; Carola-Bibiane Schönlieb; Leonardo Rundo (CoRR, 2021)

A multimodal retina-iris biometric system using the Levenshtein distance for spatial feature comparison. - Vincenzo Conti; Leonardo Rundo; Carmelo Militello; Valerio Mario Salerno; Salvatore Vitabile; Sabato Marco Siniscalchi (IET Biom., 2021)

A Computational Study on Temperature Variations in MRgFUS Treatments Using PRF Thermometry Techniques and Optical Probes. - Carmelo Militello; Leonardo Rundo; Fabrizio Vicari; Luca Agnello; Giovanni Borasi; Salvatore Vitabile; Giorgio Russo (J. Imaging, 2021)

Advanced Computational Methods for Oncological Image Analysis. - Leonardo Rundo; Carmelo Militello; Vincenzo Conti; Fulvio Zaccagna; Changhee Han (J. Imaging, 2021)

FiCoS: A fine-grained and coarse-grained GPU-powered deterministic simulator for biochemical networks. - Andrea Tangherloni; Marco S. Nobile; Paolo Cazzaniga; Giulia Capitoli; Simone Spolaor; Leonardo Rundo; Giancarlo Mauri; Daniela Besozzi (PLoS Comput. Biol., 2021)

Fingerprint Classification Based on Deep Learning Approaches: Experimental Findings and Comparisons. - Carmelo Militello; Leonardo Rundo; Salvatore Vitabile; Vincenzo Conti (Symmetry, 2021)

A Novel Bio-Inspired Approach for High-Performance Management in Service-Oriented Networks. - Vincenzo Conti; Carmelo Militello; Leonardo Rundo; Salvatore Vitabile (IEEE Trans. Emerg. Top. Comput., 2021)

A CUDA-powered method for the feature extraction and unsupervised analysis of medical images. - Leonardo Rundo; Andrea Tangherloni; Paolo Cazzaniga; Matteo Mistri; Simone Galimberti; Ramona Woitek; Evis Sala; Giancarlo Mauri; Marco S. Nobile (J. Supercomput., 2021)

Imitation Learning for Autonomous Vehicle Driving: How Does the Representation Matter? - Antonio Greco 001; Leonardo Rundo; Alessia Saggese; Mario Vento; Antonio Vicinanza (ICIAP (1), 2022)

Joint Intensity Classification and Specimen Segmentation on HEp-2 Images: a Deep Learning Approach. - Gennaro Percannella; Umberto Petruzzello; Pierluigi Ritrovato; Leonardo Rundo; Francesco Tortorella; Mario Vento (ICPR, 2022)

Focal Attention Networks: Optimising Attention for Biomedical Image Segmentation. - Michael Yeung; Leonardo Rundo; Evis Sala; Carola-Bibiane Schönlieb; Guang Yang 006 (ISBI, 2022)

Semi-automated and interactive segmentation of contrast-enhancing masses on breast DCE-MRI using spatial fuzzy clustering. - Carmelo Militello; Leonardo Rundo; Mariangela Dimarco; Alessia Orlando; Vincenzo Conti; Ramona Woitek; Ildebrando D'Angelo; Tommaso Vincenzo Bartolotta; Giorgio Russo (Biomed. Signal Process. Control., 2022)

Unified Focal loss: Generalising Dice and cross entropy-based losses to handle class imbalanced medical image segmentation. - Michael Yeung; Evis Sala; Carola-Bibiane Schönlieb; Leonardo Rundo (Comput. Medical Imaging Graph., 2022)

Calibrating Ensembles for Scalable Uncertainty Quantification in Deep Learning-based Medical Segmentation. - Thomas Buddenkotte; Lorena Escudero Sanchez; Mireia Crispin-Ortuzar; Ramona Woitek; Cathal McCague; James D. Brenton; Ozan Öktem; Evis Sala; Leonardo Rundo (CoRR, 2022)

Brain Tumor Diagnosis Using Machine Learning, Convolutional Neural Networks, Capsule Neural Networks and Vision Transformers, Applied to MRI: A Survey. - Andronicus Ayobami Akinyelu; Fulvio Zaccagna; James T. Grist; Mauro Castelli; Leonardo Rundo (J. Imaging, 2022)

SMGen: A Generator of Synthetic Models of Biochemical Reaction Networks. - Simone G. Riva; Paolo Cazzaniga; Marco S. Nobile; Simone Spolaor; Leonardo Rundo; Daniela Besozzi; Andrea Tangherloni (Symmetry, 2022)

Hercules: Deep Hierarchical Attentive Multilevel Fusion Model With Uncertainty Quantification for Medical Image Classification. - Moloud Abdar; Mohammad Amin Fahami; Leonardo Rundo; Petia Radeva; Alejandro F. Frangi; U. Rajendra Acharya; Abbas Khosravi; Hak-Keung Lam; Alexander Jung; Saeid Nahavandi (IEEE Trans. Ind. Informatics, 2023)

CT Radiomic Features and Clinical Biomarkers for Predicting Coronary Artery Disease. - Carmelo Militello; Francesco Prinzi; Giulia Sollami; Leonardo Rundo; Ludovico La Grutta; Salvatore Vitabile (Cogn. Comput., 2023)

Calibrating the Dice Loss to Handle Neural Network Overconfidence for Biomedical Image Segmentation. - Michael Yeung; Leonardo Rundo; Yang Nan 002; Evis Sala; Carola-Bibiane Schönlieb; Guang Yang 006 (J. Digit. Imaging, 2023)

Calibrating ensembles for scalable uncertainty quantification in deep learning-based medical image segmentation. - Thomas Buddenkotte; Lorena Escudero Sanchez; Mireia Crispin-Ortuzar; Ramona Woitek; Cathal McCague; James D. Brenton; Ozan Öktem; Evis Sala; Leonardo Rundo (Comput. Biol. Medicine, 2023)

Binarized multi-gate mixture of Bayesian experts for cardiac syndrome X diagnosis: A clinician-in-the-loop scenario with a belief-uncertainty fusion paradigm. - 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; et al. (Inf. Fusion, 2023)

A Self-supervised Image Registration Approach for Measuring Local Response Patterns in Metastatic Ovarian Cancer. - Inês Prata Machado; Anna Reithmeir; Fryderyk Victor Kögl; Leonardo Rundo; Gabriel Funingana; Marika Reinius; Gift Mungmeeprued; Zeyu Gao 001; Cathal McCague; Eric Kerfoot; Ramona Woitek; Evis Sala; et al. (WBIR, 2024)