| 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 | 213 | 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 | 137 | 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 | 107 | 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 | 83 | 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 | 75 | 2019 |
| 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 | 74 | 2021 |
| 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 | 70 | 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 | 66 | 2020 |
| MADGAN: unsupervised medical anomaly detection GAN using multiple adjacent brain MRI slice reconstruction C Han, L Rundo, K Murao, T Noguchi, Y Shimahara, ZÁ Milacski, ... BMC bioinformatics 22 (2), 1-20, 2021 | 63 | 2021 |
| 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 | 44 | 2017 |
| 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 | 44 | 2017 |
| 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 | 42 | 2019 |
| 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 | 40 | 2017 |
| 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 | 38 | 2018 |
| 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 | 38 | 2018 |
| 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 | 37 | 2020 |
| 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 | 37 | 2019 |
| 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 | 37 | 2019 |
| 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 | 33 | 2016 |
| 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 | 32 | 2017 |
Carmelo MilitelloNational Research Council (CNR)Verified email at cnr.it
