| 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 | 585 | 2021 |
| Unified Focal loss: Generalising Dice and cross entropy-based losses to handle class imbalanced medical image segmentation M Yeung, E Sala, CB Schönlieb, L Rundo Computerized Medical Imaging and Graphics, 102026, 2021 | 474 | 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 2018 …, 2018 | 473 | 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 | 275 | 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 | 250 | 2019 |
| 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, 1-20, 2021 | 216 | 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 | 152 | 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 | 150 | 2019 |
| Focus U-Net: A novel dual attention-gated CNN for polyp segmentation during colonoscopy M Yeung, E Sala, CB Schönlieb, L Rundo arXiv preprint arXiv:2105.07467, 2021 | 140 | 2021 |
| 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 | 129 | 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 | 124 | 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 | 122 | 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 | 96 | 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 | 94 | 2022 |
| 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 | 67 | 2017 |
| 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 | 66 | 2019 |
| 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 | 62 | 2017 |
| Semi-automated and interactive segmentation of contrast-enhancing masses on breast DCE-MRI using spatial fuzzy clustering C Militello, L Rundo, M Dimarco, A Orlando, V Conti, R Woitek, I D’Angelo, ... Biomedical Signal Processing and Control 71, 103113, 2022 | 61 | 2022 |
| 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 | 60 | 2020 |
| 3D DCE-MRI radiomic analysis for malignant lesion prediction in breast cancer patients C Militello, L Rundo, M Dimarco, A Orlando, R Woitek, I D'Angelo, ... Academic Radiology 29 (6), 830-840, 2022 | 58 | 2022 |
Carmelo MilitelloNational Research Council (CNR)Patvirtintas el. paštas cnr.it