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 | 83 | 2021 |
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 | 73 | 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 | 36 | 2020 |
Using heatmaps for deep learning based disease classification P Bruno, F Calimeri 2019 IEEE conference on computational intelligence in bioinformatics and …, 2019 | 21 | 2019 |
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 | 13 | 2021 |
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 |
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 | 11 | 2020 |
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 | 9 | 2023 |
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 | 7 | 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, ... | 7 | 2021 |
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 | 6 | 2022 |
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 | 5 | 2020 |
Continual Learning for medical image classification. A Quarta, P Bruno, F Calimeri HC@ AIxIA, 67-76, 2022 | 3 | 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 | 3 | 2022 |
Fully automated approach of machine learning combined with deep learning: How to predict the onset of major cardiovascular events in NAFLD patients A Cirella, G Sinatti, A Bracci, L Evangelista, P Bruno, SJ Santini, G Greco, ... Digestive and Liver Disease 55, S32, 2023 | 2 | 2023 |
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 |
Artificial Intelligence in Medicine: From Imaging to Omics C Adornetto, P Bruno, F Calimeri, E De Rose, G Greco CEUR WORKSHOP PROCEEDINGS 3486, 140-145, 2023 | 1 | 2023 |
AIM in medical informatics P Bruno, F Calimeri, G Greco Artificial Intelligence in Medicine, 1-15, 2021 | 1 | 2021 |
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 |