Leonardo Rundo
Leonardo Rundo
Tenure-Track Assistant Professor, University of Salerno
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Cited by
Cited by
AI applications to medical images: From machine learning to deep learning
I Castiglioni, L Rundo, M Codari, G Di Leo, C Salvatore, M Interlenghi, ...
Physica Medica 83, 9-24, 2021
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 2018á…, 2018
Unified Focal loss: Generalising Dice and cross entropy-based losses to handle class imbalanced medical image segmentation
M Yeung, E Sala, CB Sch÷nlieb, L Rundo
Computerized Medical Imaging and Graphics, 102026, 2021
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
MADGAN: Unsupervised medical anomaly detection GAN using multiple adjacent brain MRI slice reconstruction
C Han, L Rundo, K Murao, T Noguchi, Y Shimahara, Z┴ Milacski, ...
BMC bioinformatics 22, 1-20, 2021
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 andá…, 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
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
Focus U-Net: A novel dual attention-gated CNN for polyp segmentation during colonoscopy
M Yeung, E Sala, CB Sch÷nlieb, L Rundo
arXiv preprint arXiv:2105.07467, 2021
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
Recent advances of HCI in decision-making tasks for optimized clinical workflows and precision medicine
L Rundo, R Pirrone, S Vitabile, E Sala, O Gambino
Journal of Biomedical Informatics, 2020
Convolutional Neural Network Techniques for Brain Tumor Classification (from 2015 to 2022): Review, Challenges, and Future Perspectives
Y Xie, F Zaccagna, L Rundo, C Testa, R Agati, R Lodi, DN Manners, ...
Diagnostics 12 (8), 1850, 2022
Brain Tumor Diagnosis Using Machine Learning, Convolutional Neural Networks, Capsule Neural Networks and Vision Transformers, Applied to MRI: A Survey
AA Akinyelu, F Zaccagna, JT Grist, M Castelli, L Rundo
Journal of Imaging 8 (8), 205, 2022
A semi-automatic approach for epicardial adipose tissue segmentation and quantification on cardiac CT scans
C Militello, L Rundo, P Toia, V Conti, G Russo, C Filorizzo, E Maffei, ...
Computers in biology and medicine 114, 103424, 2019
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
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
A Survey on Nature-Inspired Medical Image Analysis: A Step Further in Biomedical Data Integration
L Rundo, C Militello, S Vitabile, G Russo, E Sala, MC Gilardi
Fundamenta Informaticae 171 (1-4), 345-365, 2020
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
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
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