| Comparative validation of multi-instance instrument segmentation in endoscopy: results of the ROBUST-MIS 2019 challenge T Ross, A Reinke, PM Full, M Wagner, H Kenngott, M Apitz, H Hempe, ... Medical image analysis 70, 101920, 2021 | 57 | 2021 |
| Heidelberg colorectal data set for surgical data science in the sensor operating room L Maier-Hein, M Wagner, T Ross, A Reinke, S Bodenstedt, PM Full, ... Scientific data 8 (1), 101, 2021 | 56 | 2021 |
| Robust medical instrument segmentation challenge 2019 T Ross, A Reinke, PM Full, M Wagner, H Kenngott, M Apitz, H Hempe, ... arXiv preprint arXiv:2003.10299, 2020 | 28 | 2020 |
| Using heatmaps for deep learning based disease classification P Bruno, F Calimeri 2019 IEEE conference on computational intelligence in bioinformatics and …, 2019 | 12 | 2019 |
| Using cnns for designing and implementing an automatic vascular segmentation method of biomedical images P Bruno, P Zaffino, S Scaramuzzino, S De Rosa, C Indolfi, F Calimeri, ... International Conference of the Italian Association for Artificial …, 2018 | 12 | 2018 |
| Combining deep learning and ASP-based models for the semantic segmentation of medical images P Bruno, F Calimeri, C Marte, M Manna International Joint Conference on Rules and Reasoning, 95-110, 2021 | 9 | 2021 |
| Data reduction and data visualization for automatic diagnosis using gene expression and clinical data P Bruno, F Calimeri, AS Kitanidis, E De Momi Artificial Intelligence in Medicine 107, 101884, 2020 | 9 | 2020 |
| How can we learn (more) from challenges? A statistical approach to driving future algorithm development T Roß, P Bruno, A Reinke, M Wiesenfarth, L Koeppel, PM Full, ... arXiv preprint arXiv:2106.09302, 2021 | 6 | 2021 |
| Heidelberg colorectal data set for surgical data science in the sensor operating room. Sci Data 8: 101 L Maier-Hein, M Wagner, T Ross, A Reinke, S Bodenstedt, PM Full, ... | 5 | 2021 |
| Understanding automatic diagnosis and classification processes with data visualization P Bruno, F Calimeri, AS Kitanidis, E De Momi 2020 IEEE international conference on human-machine systems (ICHMS), 1-6, 2020 | 4 | 2020 |
| Assessing vascular complexity of PAOD patients by deep learning-based segmentation and fractal dimension P Bruno, MF Spadea, S Scaramuzzino, S De Rosa, C Indolfi, G Gargiulo, ... Neural Computing and Applications 34 (24), 22015-22022, 2022 | 2 | 2022 |
| DeduDeep: An Extensible Framework for Combining Deep Learning and ASP-Based Models P Bruno, F Calimeri, C Marte International Conference on Logic Programming and Nonmonotonic Reasoning …, 2022 | 2 | 2022 |
| Evaluating the impact of training loss on mr to synthetic ct conversion MK Sherwani, P Zaffino, P Bruno, MF Spadea, F Calimeri International Conference on Machine Learning, Optimization, and Data Science …, 2020 | 2 | 2020 |
| Continual Learning for medical image classification A Quarta, P Bruno, F Calimeri CEUR Workshop Proceedings (CEUR-WS. org), 2022 | 1 | 2022 |
| Understanding Automatic Pneumonia Classification Using Chest X-Ray Images P Bruno, F Calimeri International Conference of the Italian Association for Artificial …, 2020 | 1 | 2020 |
| Classification and survival prediction in Diffuse Large B-cell Lymphoma by gene expression profiling P Bruno, F Calimeri, A Marzullo Machine Learning, Optimization, and Data Science: 4th International …, 2019 | 1 | 2019 |
| Segmentation of vessel tree from cine-angiography images for intraoperative clinical evaluation P Bruno, P Zaffino, S Scaramuzzino, S De Rosa, C Indolfi, F Calimeri, ... CEUR WORKSHOP PROCEEDINGS 2272, 2018 | 1 | 2018 |
| Data Augmentation: a Combined Inductive-Deductive Approach featuring Answer Set Programming P Bruno, F Calimeri, C Marte, S Perri arXiv preprint arXiv:2310.14413, 2023 | | 2023 |
| Fully automated approach of machine learning combined with deep learning to forecast the coronary artery disease in patients with non-alcoholic fatty liver disease A Cirella, G Sinatti, A Bracci, L Evangelista, P Bruno, SJ Santini, G Greco, ... Journal of Hepatology 78, S685, 2023 | | 2023 |
| Beyond rankings: Learning (more) from algorithm validation T Roß, P Bruno, A Reinke, M Wiesenfarth, L Koeppel, PM Full, ... Medical image analysis 86, 102765, 2023 | | 2023 |
