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BRUNO, Pierangela

BRUNO, Pierangela  

Dipartimento di Matematica e Informatica  

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Titolo Data di pubblicazione Autore(i) File
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.
A Tool For Reasoning Over {CNL} Sentences With Temporal Constructs 1-gen-2024 Bruno, Pierangela; Caruso, Simone; Dodaro, Carmine; Maratea, Marco
AI-Driven Innovations in Healthcare: Bridging Imaging and Genomics for Advanced Disease Insights 1-gen-2024 Adornetto, C.; Bruno, P.; Calimeri, F.; De Rose, E.; Greco, G.; Quarta, A.
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.
Continual Learning in Medicine: A Systematic Literature Review 1-gen-2025 Bruno, P.; Quarta, A.; 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.
Deep Learning Approaches for Segmentation and Classification of Breast Ultrasound Images 1-gen-2024 Macr(\`i), M.; Bruno, P.; Dodaro, 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