Leonardo Rundo
Leonardo Rundo
Research Associate, University of Cambridge
Adresse e-mail validée de disco.unimib.it
Citée par
Citée par
GAN-based synthetic brain MR image generation
C Han, H Hayashi, L Rundo, R Araki, W Shimoda, S Muramatsu, ...
2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018
USE-Net: incorporating Squeeze-and-Excitation blocks into U-Net for prostate zonal segmentation of multi-institutional MRI datasets
L Rundo, C Han, Y Nagano, J Zhang, R Hataya, C Militello, A Tangherloni, ...
Neurocomputing 365, 31-43, 2019
Combining Noise-to-Image and Image-to-Image GANs: Brain MR Image Augmentation for Tumor Detection
C Han, L Rundo, R Araki, Y Nagano, Y Furukawa, G Mauri, H Nakayama, ...
IEEE Access 7, 156966-156977, 2019
Learning More with Less: Conditional PGGAN-based Data Augmentation for Brain Metastases Detection Using Highly-Rough Annotation on MR images
C Han, K Murao, T Noguchi, Y Kawata, F Uchiyama, L Rundo, ...
Proceedings of the 28th ACM International Conference on Information and …, 2019
MedGA: A novel evolutionary method for image enhancement in medical imaging systems
L Rundo, A Tangherloni, MS Nobile, C Militello, D Besozzi, G Mauri, ...
Expert Systems with Applications 119, 387-399, 2019
Synthesizing diverse lung nodules wherever massively: 3D multi-conditional GAN-based CT image augmentation for object detection
C Han, Y Kitamura, A Kudo, A Ichinose, L Rundo, Y Furukawa, ...
2019 International Conference on 3D Vision (3DV), 729-737, 2019
Infinite brain MR images: PGGAN-based data augmentation for tumor detection
C Han, L Rundo, R Araki, Y Furukawa, G Mauri, H Nakayama, H Hayashi
Neural Approaches to Dynamics of Signal Exchanges, 291-303, 2020
Automated Prostate Gland Segmentation Based on an Unsupervised Fuzzy C-Means Clustering Technique Using Multispectral T1w and T2w MR Imaging
L Rundo, C Militello, G Russo, A Garufi, S Vitabile, MC Gilardi, G Mauri
Information 8 (2), 49, 2017
A fully automatic approach for multimodal PET and MR image segmentation in gamma knife treatment planning
L Rundo, A Stefano, C Militello, G Russo, MG Sabini, C D'Arrigo, ...
Computer Methods and Programs in Biomedicine 144, 77-96, 2017
Proactive particles in swarm optimization: A settings-free algorithm for real-parameter single objective optimization problems
A Tangherloni, L Rundo, MS Nobile
2017 IEEE Congress on Evolutionary Computation (CEC), 1940-1947, 2017
Combining split-and-merge and multi-seed region growing algorithms for uterine fibroid segmentation in MRgFUS treatments
L Rundo, C Militello, S Vitabile, C Casarino, G Russo, M Midiri, MC Gilardi
Medical & biological engineering & computing 54 (7), 1071-1084, 2016
Biochemical parameter estimation vs. benchmark functions: A comparative study of optimization performance and representation design
A Tangherloni, S Spolaor, P Cazzaniga, D Besozzi, L Rundo, G Mauri, ...
Applied Soft Computing 81, 105494, 2019
Computational Intelligence for Parameter Estimation of Biochemical Systems
MS Nobile, A Tangherloni, L Rundo, S Spolaor, D Besozzi, G Mauri, ...
2018 IEEE Congress on Evolutionary Computation (CEC), 1-8, 2018
Gamma Knife treatment planning: MR brain tumor segmentation and volume measurement based on unsupervised Fuzzy C‐Means clustering
C Militello, L Rundo, S Vitabile, G Russo, P Pisciotta, F Marletta, M Ippolito, ...
International Journal of Imaging Systems and Technology 25 (3), 213-225, 2015
A fully automatic 2D segmentation method for uterine fibroid in MRgFUS treatment evaluation
C Militello, S Vitabile, L Rundo, G Russo, M Midiri, MC Gilardi
Computers in biology and medicine 62, 277-292, 2015
A novel framework for MR image segmentation and quantification by using MedGA
L Rundo, A Tangherloni, P Cazzaniga, MS Nobile, G Russo, MC Gilardi, ...
Computer methods and programs in biomedicine 176, 159-172, 2019
GTVcut for neuro-radiosurgery treatment planning: an MRI brain cancer seeded image segmentation method based on a cellular automata model
L Rundo, C Militello, G Russo, S Vitabile, MC Gilardi, G Mauri
Natural Computing, 1-16, 2017
Multimodal Medical Image Registration Using Particle Swarm Optimization: A Review
L Rundo, A Tangherloni, C Militello, MC Gilardi, G Mauri
2016 IEEE Symposium Series on Computational Intelligence (SSCI), Athens, 6-9 …, 2017
NeXt for neuro‐radiosurgery: A fully automatic approach for necrosis extraction in brain tumor MRI using an unsupervised machine learning technique
L Rundo, C Militello, A Tangherloni, G Russo, S Vitabile, MC Gilardi, ...
International Journal of Imaging Systems and Technology 28 (1), 21-37, 2018
GenHap: a novel computational method based on genetic algorithms for haplotype assembly
A Tangherloni, S Spolaor, L Rundo, MS Nobile, P Cazzaniga, G Mauri, ...
BMC bioinformatics 20 (4), 172, 2019
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