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BRUNO, Pierangela

BRUNO, Pierangela  

Dipartimento di Matematica e Informatica  

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A Parallelization Approach for Hybrid-AI-based Models: an Application Study for Semantic Segmentation of Medical Images 1-gen-2022 Scarfone, M.; Bruno, P.; Calimeri, F.
AIM in Medical Informatics 1-gen-2022 Bruno, Pierangela; Calimeri, Francesco; Greco, Gianluigi
Artificial Intelligence in Medicine: From Imaging to Omics 1-gen-2023 Adornetto, Carlo; Bruno, Pierangela; Calimeri, Francesco; DE ROSE, Edoardo; Greco, Gianluigi
Artificial Intelligence. ECAI 2023 International Workshops - XAI³, TACTIFUL, XI-ML, SEDAMI, RAAIT, AI4S, HYDRA, AI4AI, Kraków, Poland, September 30 - October 4, 2023, Proceedings, Part I 1-gen-2024 Nowaczyk, Sławomir; Biecek, Przemysław; Christopher Chung, Neo; Vallati, Mauro; Skruch, Paweł; Jaworek-Korjakowska, Joanna; Parkinson, Simon; Nikitas, Alexandros; Atzmüller, Martin; Kliegr, Tomáš; Schmid, Ute; Bobek, Szymon; Lavrac, Nada; Peeters, Marieke; van Dierendonck, Roland; Robben, Saskia; Mercier-Laurent, Eunika; Kayakutlu, Gülgün; Lech Owoc, Mieczyslaw; Mason, Karl; Wahid, Abdul; Bruno, Pierangela; Calimeri, Francesco; Cauteruccio, Francesco; Terracina, Giorgio; Wolter, Diedrich; Leidner, Jochen L.; Kohlhase, Michael; Dimitrova, Vania
Artificial Intelligence. ECAI 2023 International Workshops - XAI³, TACTIFUL, XI-ML, SEDAMI, RAAIT, AI4S, HYDRA, AI4AI, Kraków, Poland, September 30 - October 4, 2023, Proceedings, Part II 1-gen-2024 Nowaczyk, Slawomir; Biecek, Przemyslaw; Christopher Chung, Neo; Vallati, Mauro; Skruch, Pawel; Jaworek-Korjakowska, Joanna; Parkinson, Simon; Nikitas, Alexandros; Atzmüller, Martin; Kliegr, Tomás; Schmid, Ute; Bobek, Szymon; Lavrac, Nada; Peeters, Marieke; van Dierendonck, Roland; Robben, Saskia; Mercier-Laurent, Eunika; Kayakutlu, Gülgün; Lech Owoc, Mieczyslaw; Mason, Karl; Wahid, Abdul; Bruno, Pierangela; Calimeri, Francesco; Cauteruccio, Francesco; Terracina, Giorgio; Wolter, Diedrich; Leidner, Jochen L.; Kohlhase, Michael; Dimitrova, Vania
Assessing vascular complexity of PAOD patients by deep learning-based segmentation and fractal dimension 1-gen-2022 Bruno, P.; Spadea, M. F.; Scaramuzzino, S.; De Rosa, S.; Indolfi, C.; Gargiulo, G.; Giugliano, G.; Esposito, G.; Calimeri, F.; Zaffino, P.
Beyond rankings: Learning (more) from algorithm validation 1-gen-2023 Ross, T.; Bruno, P.; Reinke, A.; Wiesenfarth, M.; Koeppel, L.; Full, P. M.; Pekdemir, B.; Godau, P.; Trofimova, D.; Isensee, F.; Adler, T. J.; Tran, T. N.; Moccia, S.; Calimeri, F.; Muller-Stich, B. P.; Kopp-Schneider, A.; Maier-Hein, L.
Classification and survival prediction in diffuse large B-cell lymphoma by gene expression profiling 1-gen-2018 Bruno, P.; Calimeri, F.; Marzullo, A.
Combining Deep Learning and ASP-Based Models for the Semantic Segmentation of Medical Images 1-gen-2021 Bruno, P.; Calimeri, F.; Marte, C.; Manna, M.
Combining deep learning and ASP-based models for the semantic segmentation of medical images 1-gen-2021 Bruno, P.; Calimeri, F.; Marte, C.; Manna, M.
Comparative validation of multi-instance instrument segmentation in endoscopy: Results of the ROBUST-MIS 2019 challenge 1-gen-2021 Roß, Tobias; Reinke, Annika; Full, Peter M; Wagner, Martin; Kenngott, Hannes; Apitz, Martin; Hempe, Hellena; Mindroc-Filimon, Diana; Scholz, Patrick; Tran, Thuy Nuong; Bruno, Pierangela; Arbeláez, Pablo; Bian, Gui-Bin; Bodenstedt, Sebastian; Bolmgren, Jon Lindström; Bravo-Sánchez, Laura; Chen, Hua-Bin; González, Cristina; Guo, Dong; Halvorsen, Pål; Heng, Pheng-Ann; Hosgor, Enes; Hou, Zeng-Guang; Isensee, Fabian; Jha, Debesh; Jiang, Tingting; Jin, Yueming; Kirtac, Kadir; Kletz, Sabrina; Leger, Stefan; Li, Zhixuan; Maier-Hein, Klaus H; Ni, Zhen-Liang; Riegler, Michael A; Schoeffmann, Klaus; Shi, Ruohua; Speidel, Stefanie; Stenzel, Michael; Twick, Isabell; Wang, Gutai; Wang, Jiacheng; Wang, Liansheng; Wang, Lu; Zhang, Yujie; Zhou, Yan-Jie; Zhu, Lei; Wiesenfarth, Manuel; Kopp-Schneider, Annette; Müller-Stich, Beat P; Maier-Hein, Lena
Continual Learning for medical image classification 1-gen-2022 Quarta, A.; Bruno, P.; Calimeri, F.
Data reduction and data visualization for automatic diagnosis using gene expression and clinical data 1-gen-2020 Bruno, P.; Calimeri, F.; Kitanidis, A. S.; De Momi, E.
DeduDeep: An Extensible Framework for Combining Deep Learning and ASP-Based Models 1-gen-2022 Bruno, P.; Calimeri, F.; Marte, C.
Evaluating the Impact of Training Loss on MR to Synthetic CT Conversion 1-gen-2020 Sherwani, MOIZ KHAN; Zaffino, Paolo; Bruno, Pierangela; Francesca Spadea, Maria; Calimeri, Francesco
Heidelberg colorectal data set for surgical data science in the sensor operating room 1-gen-2021 Maier-Hein, Lena; Wagner, Martin; Ross, Tobias; Reinke, Annika; Bodenstedt, Sebastian; Full, Peter M; Hempe, Hellena; Mindroc-Filimon, Diana; Scholz, Patrick; Tran, Thuy Nuong; Bruno, Pierangela; Kisilenko, Anna; Müller, Benjamin; Davitashvili, Tornike; Capek, Manuela; Tizabi, Minu D; Eisenmann, Matthias; Adler, Tim J; Gröhl, Janek; Schellenberg, Melanie; Seidlitz, Silvia; Lai, T Y Emmy; Pekdemir, Bünyamin; Roethlingshoefer, Veith; Both, Fabian; Bittel, Sebastian; Mengler, Marc; Mündermann, Lars; Apitz, Martin; Kopp-Schneider, Annette; Speidel, Stefanie; Nickel, Felix; Probst, Pascal; Kenngott, Hannes G; Müller-Stich, Beat P
Joint Proceedings of the 1st International Workshop on HYbrid Models for Coupling Deductive and Inductive ReAsoning (HYDRA 2022) and the 29th RCRA Workshop on Experimental Evaluation of Algorithms for Solving Problems with Combinatorial Explosion (RCRA 2022) co-located with the 16th International Conference on Logic Programming and Non-monotonic Reasoning (LPNMR 2022), Genova Nervi, Italy, September 5, 2022 1-gen-2022 Bruno, Pierangela; Calimeri, Francesco; Cauteruccio, Francesco; Maratea, Marco; Terracina, Giorgio; Vallati, Mauro
Segmentation of vessel tree from cine-angiography images for intraoperative clinical evaluation 1-gen-2018 Bruno, P.; Zaffino, P.; Scaramuzzino, S.; De Rosa, S.; Indolfi, C.; Calimeri, F.; Spadea, M. F.
Understanding automatic COVID-19 classification using chest X-ray images 1-gen-2020 Bruno, P.; Marte, C.; Calimeri, F.
Understanding Automatic Diagnosis and Classification Processes with Data Visualization 1-gen-2020 Bruno, P.; Calimeri, F.; Kitanidis, A. S.; De Momi, E.