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Pierangela Bruno
Pierangela Bruno
Verified email at mat.unical.it
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Year
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
702021
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
632021
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
332020
Using heatmaps for deep learning based disease classification
P Bruno, F Calimeri
2019 IEEE conference on computational intelligence in bioinformatics and …, 2019
152019
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
122018
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
112021
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
102020
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, ...
72021
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
62021
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
52023
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
42020
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
22022
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
22022
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
22020
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
12023
Continual Learning for medical image classification.
A Quarta, P Bruno, F Calimeri
HC@ AIxIA, 67-76, 2022
12022
AIM in Medical Informatics
P Bruno, F Calimeri, G Greco
Artificial Intelligence in Medicine, 1-15, 2021
12021
Understanding Automatic Pneumonia Classification Using Chest X-Ray Images
P Bruno, F Calimeri
International Conference of the Italian Association for Artificial …, 2020
12020
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
12019
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
12018
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