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2020 – today
- 2024
[c20]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. WBIR 2024: 295-307- [i19]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 abs/2407.17114 (2024) - 2023
- [j42]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: 107096 (2023) - [j41]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): 238-253 (2023) - [j40]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: 101813 (2023) - [j39]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): 739-752 (2023) - [j38]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): 274-285 (2023) - 2022
- [j37]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): 103113 (2022) - [j36]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: 102026 (2022) - [j35]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): 205 (2022) - [j34]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): 119 (2022) - [c19]Antonio Greco, Leonardo Rundo, Alessia Saggese, Mario Vento, Antonio Vicinanza:
Imitation Learning for Autonomous Vehicle Driving: How Does the Representation Matter? ICIAP (1) 2022: 15-26 - [c18]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: 4343-4349 - [c17]Michael Yeung, Leonardo Rundo, Evis Sala, Carola-Bibiane Schönlieb, Guang Yang:
Focal Attention Networks: Optimising Attention for Biomedical Image Segmentation. ISBI 2022: 1-5 - [i18]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 abs/2209.09563 (2022) - 2021
- [j33]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. 22-S(2): 31 (2021) - [j32]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: 104815 (2021) - [j31]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: 106261 (2021) - [j30]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): 44-64 (2021) - [j29]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): 63 (2021) - [j28]Leonardo Rundo, Carmelo Militello, Vincenzo Conti, Fulvio Zaccagna, Changhee Han:
Advanced Computational Methods for Oncological Image Analysis. J. Imaging 7(11): 237 (2021) - [j27]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) - [j26]Carmelo Militello, Leonardo Rundo, Salvatore Vitabile, Vincenzo Conti:
Fingerprint Classification Based on Deep Learning Approaches: Experimental Findings and Comparisons. Symmetry 13(5): 750 (2021) - [j25]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): 1709-1722 (2021) - [j24]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): 8514-8531 (2021) - [i17]Michael Yeung, Evis Sala, Carola-Bibiane Schönlieb, Leonardo Rundo:
A Mixed Focal Loss Function for Handling Class Imbalanced Medical Image Segmentation. CoRR abs/2102.04525 (2021) - [i16]Michael Yeung, Evis Sala, Carola-Bibiane Schönlieb, Leonardo Rundo:
Advances in Artificial Intelligence to Reduce Polyp Miss Rates during Colonoscopy. CoRR abs/2105.07467 (2021) - [i15]Leonardo Rundo:
Computer-Assisted Analysis of Biomedical Images. CoRR abs/2106.04381 (2021) - [i14]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 abs/2111.00528 (2021) - [i13]Michael Yeung, Guang Yang, Evis Sala, Carola-Bibiane Schönlieb, Leonardo Rundo:
Incorporating Boundary Uncertainty into loss functions for biomedical image segmentation. CoRR abs/2111.00533 (2021) - [i12]Michael Yeung, Leonardo Rundo, Evis Sala, Carola-Bibiane Schönlieb, Guang Yang:
Focal Attention Networks: optimising attention for biomedical image segmentation. CoRR abs/2111.00534 (2021) - 2020
- [j23]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: 103751 (2020) - [j22]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): 57-80 (2020) - [j21]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): 345-365 (2020) - [j20]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: 103479 (2020) - [j19]Orazio Gambino, Leonardo Rundo, Roberto Pirrone, Salvatore Vitabile:
HCI for biomedical decision-making: From diagnosis to therapy. J. Biomed. Informatics 111: 103593 (2020) - [j18]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): 773 (2020) - [c16]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: 320-333 - [p5]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. Neural Approaches to Dynamics of Signal Exchanges 2020: 269-280 - [p4]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. Neural Approaches to Dynamics of Signal Exchanges 2020: 291-303 - [i11]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 abs/2001.03923 (2020) - [i10]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 abs/2005.07545 (2020) - [i9]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 abs/2007.13559 (2020)
2010 – 2019
- 2019
- [b1]Leonardo Rundo:
Computer-Assisted Analysis of Biomedical Images. University of Milan, Italy, 2019 - [j17]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: 156966-156977 (2019) - [j16]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) - [j15]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. 20-S(4): 172:1-172:14 (2019) - [j14]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) - [j13]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: 159-172 (2019) - [j12]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: 387-399 (2019) - [j11]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: 31-43 (2019) - [c15]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: 729-737 - [c14]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: 44-54 - [c13]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: 119-127 - [c12]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: 381-382 - [c11]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: 1837-1845 - [c10]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: 304-318 - [p3]Leonardo Rundo, Carmelo Militello, Andrea Tangherloni, Giorgio Russo, Roberto Lagalla, Giancarlo Mauri, Maria Carla Gilardi, Salvatore Vitabile:
Computer-Assisted Approaches for Uterine Fibroid Segmentation in MRgFUS Treatments: Quantitative Evaluation and Clinical Feasibility Analysis. Quantifying and Processing Biomedical and Behavioral Signals 2019: 229-241 - [i8]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 abs/1902.09856 (2019) - [i7]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 abs/1903.12564 (2019) - [i6]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 abs/1903.12571 (2019) - [i5]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 abs/1904.08254 (2019) - [i4]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 abs/1905.13456 (2019) - [i3]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 abs/1906.04962 (2019) - [i2]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 abs/1906.06114 (2019) - 2018
- [j10]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): 21-37 (2018) - [j9]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: 37-52 (2018) - [j8]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): 521-536 (2018) - [c9]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: 1-8 - [c8]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: 650-661 - [c7]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: 734-738 - [c6]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: 698-705 - [p2]Leonardo Rundo, Carmelo Militello, Giorgio Russo, Davide D'Urso, Lucia Maria Valastro, Antonio Garufi, Giancarlo Mauri, Salvatore Vitabile, Maria Carla Gilardi:
Fully Automatic Multispectral MR Image Segmentation of Prostate Gland Based on the Fuzzy C-Means Clustering Algorithm. Multidisciplinary Approaches to Neural Computing 2018: 23-37 - 2017
- [j7]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: 454-465 (2017) - [j6]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: 77-96 (2017) - [j5]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): 49 (2017) - [j4]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): 19-36 (2017) - [c5]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: 1940-1947 - [c4]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: 92-102 - [c3]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: 1-8 - [i1]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: e3246 (2017) - 2016
- [j3]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): 1071-1084 (2016) - [c2]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: 323-333 - [c1]Leonardo Rundo, Andrea Tangherloni, Carmelo Militello, Maria Carla Gilardi, Giancarlo Mauri:
Multimodal medical image registration using Particle Swarm Optimization: A review. SSCI 2016: 1-8 - [p1]Leonardo Rundo, Carmelo Militello, Salvatore Vitabile, Giorgio Russo, Pietro Pisciotta, Francesco Marletta, Massimo Ippolito, Corrado D'Arrigo, Massimo Midiri, Maria Carla Gilardi:
Semi-automatic Brain Lesion Segmentation in Gamma Knife Treatments Using an Unsupervised Fuzzy C-Means Clustering Technique. Advances in Neural Networks 2016: 15-26 - 2015
- [j2]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: 277-292 (2015) - [j1]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): 213-225 (2015)
Coauthor Index
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last updated on 2024-11-04 20:43 CET by the dblp team
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