Leonardo Rundo

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 78

Top Topics

Parameter Estimation

Image Segmentation

Top Venues

Comput. Biol. Medicine

J. Biomed. Informatics

Publications

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
A Self-Supervised Image Registration Approach for Measuring Local Response Patterns in Metastatic Ovarian Cancer. CoRR (2024)
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
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 97 (2023)
Thomas Buddenkotte, Lorena Escudero Sanchez, Mireia Crispin-Ortuzar, Ramona Woitek, Cathal McCague, James D. Brenton, Ozan Öktem, Evis Sala, Leonardo Rundo
Calibrating ensembles for scalable uncertainty quantification in deep learning-based medical image segmentation. Comput. Biol. Medicine 163 (2023)
Carmelo Militello, Francesco Prinzi, Giulia Sollami, Leonardo Rundo, Ludovico La Grutta, Salvatore Vitabile
CT Radiomic Features and Clinical Biomarkers for Predicting Coronary Artery Disease. Cogn. Comput. 15 (1) (2023)
Michael Yeung, Leonardo Rundo, Yang Nan, Evis Sala, Carola-Bibiane Schönlieb, Guang Yang
Calibrating the Dice Loss to Handle Neural Network Overconfidence for Biomedical Image Segmentation. J. Digit. Imaging 36 (2) (2023)
Moloud Abdar, Mohammad Amin Fahami, Leonardo Rundo, Petia Radeva, Alejandro F. Frangi, U. Rajendra Acharya, Abbas Khosravi, Hak-Keung Lam, Alexander Jung, Saeid Nahavandi
Hercules: Deep Hierarchical Attentive Multilevel Fusion Model With Uncertainty Quantification for Medical Image Classification. IEEE Trans. Ind. Informatics 19 (1) (2023)
Andronicus Ayobami Akinyelu, Fulvio Zaccagna, James T. Grist, Mauro Castelli, Leonardo Rundo
Brain Tumor Diagnosis Using Machine Learning, Convolutional Neural Networks, Capsule Neural Networks and Vision Transformers, Applied to MRI: A Survey. J. Imaging 8 (8) (2022)
Gennaro Percannella, Umberto Petruzzello, Pierluigi Ritrovato, Leonardo Rundo, Francesco Tortorella, Mario Vento
Joint Intensity Classification and Specimen Segmentation on HEp-2 Images: a Deep Learning Approach. ICPR (2022)
Michael Yeung, Evis Sala, Carola-Bibiane Schönlieb, Leonardo Rundo
Unified Focal loss: Generalising Dice and cross entropy-based losses to handle class imbalanced medical image segmentation. Comput. Medical Imaging Graph. 95 (2022)
Thomas Buddenkotte, Lorena Escudero Sanchez, Mireia Crispin-Ortuzar, Ramona Woitek, Cathal McCague, James D. Brenton, Ozan Öktem, Evis Sala, Leonardo Rundo
Calibrating Ensembles for Scalable Uncertainty Quantification in Deep Learning-based Medical Segmentation. CoRR (2022)
Antonio Greco, Leonardo Rundo, Alessia Saggese, Mario Vento, Antonio Vicinanza
Imitation Learning for Autonomous Vehicle Driving: How Does the Representation Matter? ICIAP (1) (2022)
Simone G. Riva, Paolo Cazzaniga, Marco S. Nobile, Simone Spolaor, Leonardo Rundo, Daniela Besozzi, Andrea Tangherloni
SMGen: A Generator of Synthetic Models of Biochemical Reaction Networks. Symmetry 14 (1) (2022)
Michael Yeung, Leonardo Rundo, Evis Sala, Carola-Bibiane Schönlieb, Guang Yang
Focal Attention Networks: Optimising Attention for Biomedical Image Segmentation. ISBI (2022)
Carmelo Militello, Leonardo Rundo, Mariangela Dimarco, Alessia Orlando, Vincenzo Conti, Ramona Woitek, Ildebrando D'Angelo, Tommaso Vincenzo Bartolotta, Giorgio Russo
Semi-automated and interactive segmentation of contrast-enhancing masses on breast DCE-MRI using spatial fuzzy clustering. Biomed. Signal Process. Control. 71 (Part) (2022)
Carmelo Militello, Leonardo Rundo, Salvatore Vitabile, Vincenzo Conti
Fingerprint Classification Based on Deep Learning Approaches: Experimental Findings and Comparisons. Symmetry 13 (5) (2021)
Changhee Han, Leonardo Rundo, Kohei Murao, Tomoyuki Noguchi, Yuki Shimahara, Zoltán Ádám Milacski, Saori Koshino, Evis Sala, Hideki Nakayama, Shin'ichi Satoh
MADGAN: unsupervised medical anomaly detection GAN using multiple adjacent brain MRI slice reconstruction. BMC Bioinform. (2) (2021)
Michael Yeung, Leonardo Rundo, Yang Nan, Evis Sala, Carola-Bibiane Schönlieb, Guang Yang
Calibrating the Dice loss to handle neural network overconfidence for biomedical image segmentation. CoRR (2021)
Leonardo Rundo, Carmelo Militello, Vincenzo Conti, Fulvio Zaccagna, Changhee Han
Advanced Computational Methods for Oncological Image Analysis. J. Imaging 7 (11) (2021)
Michael Yeung, Guang Yang, Evis Sala, Carola-Bibiane Schönlieb, Leonardo Rundo
Incorporating Boundary Uncertainty into loss functions for biomedical image segmentation. CoRR (2021)
Vincenzo Conti, Leonardo Rundo, Carmelo Militello, Valerio Mario Salerno, Salvatore Vitabile, Sabato Marco Siniscalchi
A multimodal retina-iris biometric system using the Levenshtein distance for spatial feature comparison. IET Biom. 10 (1) (2021)
Michael Yeung, Evis Sala, Carola-Bibiane Schönlieb, Leonardo Rundo
Focus U-Net: A novel dual attention-gated CNN for polyp segmentation during colonoscopy. Comput. Biol. Medicine 137 (2021)
Maureen van Eijnatten, Leonardo Rundo, Kees Joost Batenburg, Felix Lucka, Emma Beddowes, Carlos Caldas, Ferdia A. Gallagher, Evis Sala, Carola-Bibiane Schönlieb, Ramona Woitek
3D deformable registration of longitudinal abdominopelvic CT images using unsupervised deep learning. Comput. Methods Programs Biomed. 208 (2021)
Michael Yeung, Leonardo Rundo, Evis Sala, Carola-Bibiane Schönlieb, Guang Yang
Focal Attention Networks: optimising attention for biomedical image segmentation. CoRR (2021)
Vincenzo Conti, Carmelo Militello, Leonardo Rundo, Salvatore Vitabile
A Novel Bio-Inspired Approach for High-Performance Management in Service-Oriented Networks. IEEE Trans. Emerg. Top. Comput. 9 (4) (2021)
Michael Yeung, Evis Sala, Carola-Bibiane Schönlieb, Leonardo Rundo
A Mixed Focal Loss Function for Handling Class Imbalanced Medical Image Segmentation. CoRR (2021)
Leonardo Rundo, Andrea Tangherloni, Paolo Cazzaniga, Matteo Mistri, Simone Galimberti, Ramona Woitek, Evis Sala, Giancarlo Mauri, Marco S. Nobile
A CUDA-powered method for the feature extraction and unsupervised analysis of medical images. J. Supercomput. 77 (8) (2021)
Andrea Tangherloni, Marco S. Nobile, Paolo Cazzaniga, Giulia Capitoli, Simone Spolaor, Leonardo Rundo, Giancarlo Mauri, Daniela Besozzi
FiCoS: A fine-grained and coarse-grained GPU-powered deterministic simulator for biochemical networks. PLoS Comput. Biol. 17 (9) (2021)
Michael Yeung, Evis Sala, Carola-Bibiane Schönlieb, Leonardo Rundo
Advances in Artificial Intelligence to Reduce Polyp Miss Rates during Colonoscopy. CoRR (2021)
Carmelo Militello, Leonardo Rundo, Fabrizio Vicari, Luca Agnello, Giovanni Borasi, Salvatore Vitabile, Giorgio Russo
A Computational Study on Temperature Variations in MRgFUS Treatments Using PRF Thermometry Techniques and Optical Probes. J. Imaging 7 (4) (2021)
Leonardo Rundo
Computer-Assisted Analysis of Biomedical Images. CoRR (2021)
Changhee Han, Leonardo Rundo, Kohei Murao, Tomoyuki Noguchi, Yuki Shimahara, Zoltán Ádám Milacski, Saori Koshino, Evis Sala, Hideki Nakayama, Shin'ichi Satoh
MADGAN: unsupervised Medical Anomaly Detection GAN using multiple adjacent brain MRI slice reconstruction. CoRR (2020)
Orazio Gambino, Leonardo Rundo, Roberto Pirrone, Salvatore Vitabile
HCI for biomedical decision-making: From diagnosis to therapy. J. Biomed. Informatics 111 (2020)
Leonardo Rundo, Roberto Pirrone, Salvatore Vitabile, Evis Sala, Orazio Gambino
Recent advances of HCI in decision-making tasks for optimized clinical workflows and precision medicine. J. Biomed. Informatics 108 (2020)
Leonardo Rundo, Carmelo Militello, Salvatore Vitabile, Giorgio Russo, Evis Sala, Maria Carla Gilardi
A Survey on Nature-Inspired Medical Image Analysis: A Step Further in Biomedical Data Integration. Fundam. Informaticae 171 (1-4) (2020)
Leonardo Rundo, Lucian Beer, Stephan Ursprung, Paula Martin-Gonzalez, Florian Markowetz, James D. Brenton, Mireia Crispin-Ortuzar, Evis Sala, Ramona Woitek
Tissue-specific and interpretable sub-segmentation of whole tumour burden on CT images by unsupervised fuzzy clustering. Comput. Biol. Medicine 120 (2020)
Maureen van Eijnatten, Leonardo Rundo, Kees Joost Batenburg, Felix Lucka, Emma Beddowes, Carlos Caldas, Ferdia A. Gallagher, Evis Sala, Carola-Bibiane Schönlieb, Ramona Woitek
3D deformable registration of longitudinal abdominopelvic CT images using unsupervised deep learning. CoRR (2020)
Daniela Besozzi, Luca Manzoni, Marco S. Nobile, Simone Spolaor, Mauro Castelli, Leonardo Vanneschi, Paolo Cazzaniga, Stefano Ruberto, Leonardo Rundo, Andrea Tangherloni
Computational Intelligence for Life Sciences. Fundam. Informaticae 171 (1-4) (2020)
Changhee Han, Leonardo Rundo, Kohei Murao, Takafumi Nemoto, Hideki Nakayama
Bridging the gap between AI and Healthcare sides: towards developing clinically relevant AI-powered diagnosis systems. CoRR (2020)
Changhee Han, Leonardo Rundo, Kohei Murao, Takafumi Nemoto, Hideki Nakayama
Bridging the Gap Between AI and Healthcare Sides: Towards Developing Clinically Relevant AI-Powered Diagnosis Systems. AIAI (2) (2020)
Carmelo Militello, Leonardo Rundo, Luigi Minafra, Francesco Paolo Cammarata, Marco Calvaruso, Vincenzo Conti, Giorgio Russo
MF2C3: Multi-Feature Fuzzy Clustering to Enhance Cell Colony Detection in Automated Clonogenic Assay Evaluation. Symmetry 12 (5) (2020)
Changhee Han, Kohei Murao, Tomoyuki Noguchi, Yusuke Kawata, Fumiya Uchiyama, Leonardo Rundo, Hideki Nakayama, Shin'ichi Satoh
Learning More with Less: Conditional PGGAN-based Data Augmentation for Brain Metastases Detection Using Highly-Rough Annotation on MR images. CoRR (2019)
Changhee Han, Yoshiro Kitamura, Akira Kudo, Akimichi Ichinose, Leonardo Rundo, Yujiro Furukawa, Kazuki Umemoto, Hideki Nakayama, Yuanzhong Li
Synthesizing Diverse Lung Nodules Wherever Massively: 3D Multi-Conditional GAN-based CT Image Augmentation for Object Detection. CoRR (2019)
Changhee Han, Leonardo Rundo, Ryosuke Araki, Yudai Nagano, Yujiro Furukawa, Giancarlo Mauri, Hideki Nakayama, Hideaki Hayashi
Combining Noise-to-Image and Image-to-Image GANs: Brain MR Image Augmentation for Tumor Detection. CoRR (2019)
Leonardo Rundo, Andrea Tangherloni, Marco S. Nobile, Carmelo Militello, Daniela Besozzi, Giancarlo Mauri, Paolo Cazzaniga
MedGA: A novel evolutionary method for image enhancement in medical imaging systems. Expert Syst. Appl. 119 (2019)
Leonardo Rundo, Andrea Tangherloni, Paolo Cazzaniga, Marco S. Nobile, Giorgio Russo, Maria Carla Gilardi, Salvatore Vitabile, Giancarlo Mauri, Daniela Besozzi, Carmelo Militello
A novel framework for MR image segmentation and quantification by using MedGA. Comput. Methods Programs Biomed. 176 (2019)
Changhee Han, Leonardo Rundo, Kohei Murao, Zoltán Ádám Milacski, Kazuki Umemoto, Hideki Nakayama, Shin'ichi Satoh
GAN-based Multiple Adjacent Brain MRI Slice Reconstruction for Unsupervised Alzheimer's Disease Diagnosis. CoRR (2019)
Paulo Lapa, Ivo Gonçalves, Leonardo Rundo, Mauro Castelli
Enhancing classification performance of convolutional neural networks for prostate cancer detection on magnetic resonance images: a study with the semantic learning machine. GECCO (Companion) (2019)
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
CNN-based Prostate Zonal Segmentation on T2-weighted MR Images: A Cross-dataset Study. CoRR (2019)
Changhee Han, Yoshiro Kitamura, Akira Kudo, Akimichi Ichinose, Leonardo Rundo, Yujiro Furukawa, Kazuki Umemoto, Yuanzhong Li, Hideki Nakayama
Synthesizing Diverse Lung Nodules Wherever Massively: 3D Multi-Conditional GAN-Based CT Image Augmentation for Object Detection. 3DV (2019)
Leonardo Rundo, Andrea Tangherloni, Simone Galimberti, Paolo Cazzaniga, Ramona Woitek, Evis Sala, Marco S. Nobile, Giancarlo Mauri
HaraliCU: GPU-Powered Haralick Feature Extraction on Medical Images Exploiting the Full Dynamics of Gray-Scale Levels. PaCT (2019)
Changhee Han, Leonardo Rundo, Ryosuke Araki, Yujiro Furukawa, Giancarlo Mauri, Hideki Nakayama, Hideaki Hayashi
Infinite Brain MR Images: PGGAN-based Data Augmentation for Tumor Detection. CoRR (2019)
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
USE-Net: incorporating Squeeze-and-Excitation blocks into U-Net for prostate zonal segmentation of multi-institutional MRI datasets. CoRR (2019)
Changhee Han, Kohei Murao, Tomoyuki Noguchi, Yusuke Kawata, Fumiya Uchiyama, Leonardo Rundo, Hideki Nakayama, Shin'ichi Satoh
Learning More with Less: Conditional PGGAN-based Data Augmentation for Brain Metastases Detection Using Highly-Rough Annotation on MR Images. CIKM (2019)
Changhee Han, Leonardo Rundo, Kohei Murao, Zoltán Ádám Milacski, Kazuki Umemoto, Evis Sala, Hideki Nakayama, Shin'ichi Satoh
GAN-Based Multiple Adjacent Brain MRI Slice Reconstruction for Unsupervised Alzheimer's Disease Diagnosis. CIBB (2019)
Paulo Lapa, Ivo Gonçalves, Leonardo Rundo, Mauro Castelli
Semantic learning machine improves the CNN-Based detection of prostate cancer in non-contrast-enhanced MRI. GECCO (Companion) (2019)
Changhee Han, Leonardo Rundo, Ryosuke Araki, Yudai Nagano, Yujiro Furukawa, Giancarlo Mauri, Hideki Nakayama, Hideaki Hayashi
Combining Noise-to-Image and Image-to-Image GANs: Brain MR Image Augmentation for Tumor Detection. IEEE Access 7 (2019)
Andrea Tangherloni, Simone Spolaor, Leonardo Rundo, Marco S. Nobile, Paolo Cazzaniga, Giancarlo Mauri, Pietro Liò, Ivan Merelli, Daniela Besozzi
GenHap: a novel computational method based on genetic algorithms for haplotype assembly. BMC Bioinform. (4) (2019)
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
USE-Net: Incorporating Squeeze-and-Excitation blocks into U-Net for prostate zonal segmentation of multi-institutional MRI datasets. Neurocomputing 365 (2019)
Andrea Tangherloni, Simone Spolaor, Paolo Cazzaniga, Daniela Besozzi, Leonardo Rundo, Giancarlo Mauri, Marco S. Nobile
Biochemical parameter estimation vs. benchmark functions: A comparative study of optimization performance and representation design. Appl. Soft Comput. 81 (2019)
Carmelo Militello, Leonardo Rundo, Patrizia Toia, Vincenzo Conti, Giorgio Russo, Clarissa Filorizzo, Erica Maffei, Filippo Cademartiri, Ludovico La Grutta, Massimo Midiri, Salvatore Vitabile
A semi-automatic approach for epicardial adipose tissue segmentation and quantification on cardiac CT scans. Comput. Biol. Medicine 114 (2019)
Orazio Gambino, Leonardo Rundo, Vincenzo Cannella, Salvatore Vitabile, Roberto Pirrone
A framework for data-driven adaptive GUI generation based on DICOM. J. Biomed. Informatics 88 (2018)
Andrea Tangherloni, Leonardo Rundo, Simone Spolaor, Marco S. Nobile, Ivan Merelli, Daniela Besozzi, Giancarlo Mauri, Paolo Cazzaniga, Pietro Liò
High Performance Computing for Haplotyping: Models and Platforms. Euro-Par Workshops (2018)
Leonardo Rundo, Carmelo Militello, Giorgio Russo, Salvatore Vitabile, Maria Carla Gilardi, Giancarlo Mauri
GTVcut for neuro-radiosurgery treatment planning: an MRI brain cancer seeded image segmentation method based on a cellular automata model. Nat. Comput. 17 (3) (2018)
Changhee Han, Hideaki Hayashi, Leonardo Rundo, Ryosuke Araki, Wataru Shimoda, Shinichi Muramatsu, Yujiro Furukawa, Giancarlo Mauri, Hideki Nakayama
GAN-based synthetic brain MR image generation. ISBI (2018)
Marco S. Nobile, Andrea Tangherloni, Leonardo Rundo, Simone Spolaor, Daniela Besozzi, Giancarlo Mauri, Paolo Cazzaniga
Computational Intelligence for Parameter Estimation of Biochemical Systems. CEC (2018)
Leonardo Rundo, Carmelo Militello, Andrea Tangherloni, Giorgio Russo, Salvatore Vitabile, Maria Carla Gilardi, Giancarlo Mauri
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. 28 (1) (2018)
Andrea Tangherloni, Leonardo Rundo, Simone Spolaor, Paolo Cazzaniga, Marco S. Nobile
GPU-Powered Multi-Swarm Parameter Estimation of Biological Systems: A Master-Slave Approach. PDP (2018)
Simone Spolaor, Andrea Tangherloni, Leonardo Rundo, Marco S. Nobile, Paolo Cazzaniga
Reboot strategies in particle swarm optimization and their impact on parameter estimation of biochemical systems. CIBCB (2017)
Vincenzo Conti, Leonardo Rundo, Carmelo Militello, Giancarlo Mauri, Salvatore Vitabile
Resource-Efficient Hardware Implementation of a Neural-based Node for Automatic Fingerprint Classification. J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl. 8 (4) (2017)
Simone Spolaor, Andrea Tangherloni, Leonardo Rundo, Paolo Cazzaniga, Marco S. Nobile
Estimation of Kinetic Reaction Constants: Exploiting Reboot Strategies to Improve PSO's Performance. CIBB (2017)
Leonardo Rundo, Carmelo Militello, Giorgio Russo, Antonio Garufi, Salvatore Vitabile, Maria Carla Gilardi, Giancarlo Mauri
Automated Prostate Gland Segmentation Based on an Unsupervised Fuzzy C-Means Clustering Technique Using Multispectral T1w and T2w MR Imaging. Inf. 8 (2) (2017)
Carmelo Militello, Leonardo Rundo, Vincenzo Conti, Luigi Minafra, Francesco Paolo Cammarata, Giancarlo Mauri, Maria Carla Gilardi, Nunziatina Porcino
Area-based cell colony surviving fraction evaluation: A novel fully automatic approach using general-purpose acquisition hardware. Comput. Biol. Medicine 89 (2017)
Andrea Tangherloni, Leonardo Rundo, Marco S. Nobile
Proactive Particles in Swarm Optimization: A settings-free algorithm for real-parameter single objective optimization problems. CEC (2017)
Andrea Tangherloni, Simone Spolaor, Leonardo Rundo, Marco S. Nobile, Ivan Merelli, Paolo Cazzaniga, Daniela Besozzi, Giancarlo Mauri, Pietro Liò
GenHap: A novel computational method based on genetic algorithms for haplotype assembly. PeerJ Prepr. 5 (2017)
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
A fully automatic approach for multimodal PET and MR image segmentation in gamma knife treatment planning. Comput. Methods Programs Biomed. 144 (2017)
Leonardo Rundo, Andrea Tangherloni, Carmelo Militello, Maria Carla Gilardi, Giancarlo Mauri
Multimodal medical image registration using Particle Swarm Optimization: A review. SSCI (2016)
Leonardo Rundo, Carmelo Militello, Salvatore Vitabile, Carlo Casarino, Giorgio Russo, Massimo Midiri, Maria Carla Gilardi
Combining split-and-merge and multi-seed region growing algorithms for uterine fibroid segmentation in MRgFUS treatments. Medical Biol. Eng. Comput. 54 (7) (2016)
Leonardo Rundo, Carmelo Militello, Giorgio Russo, Pietro Pisciotta, Lucia Maria Valastro, Maria Gabriella Sabini, Salvatore Vitabile, Maria Carla Gilardi, Giancarlo Mauri
Neuro-Radiosurgery Treatments: MRI Brain Tumor Seeded Image Segmentation Based on a Cellular Automata Model. ACRI (2016)
Carmelo Militello, Leonardo Rundo, Salvatore Vitabile, Giorgio Russo, Pietro Pisciotta, Francesco Marletta, Massimo Ippolito, Corrado D'Arrigo, Massimo Midiri, Maria Carla Gilardi
Gamma Knife treatment planning: MR brain tumor segmentation and volume measurement based on unsupervised Fuzzy C-Means clustering. Int. J. Imaging Syst. Technol. 25 (3) (2015)
Carmelo Militello, Salvatore Vitabile, Leonardo Rundo, Giorgio Russo, Massimo Midiri, Maria Carla Gilardi
A fully automatic 2D segmentation method for uterine fibroid in MRgFUS treatment evaluation. Comput. Biol. Medicine 62 (2015)