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2020 – today
- 2025
[j5]Pierangela Bruno, Alessandro Quarta, Francesco Calimeri:
Continual Learning in Medicine: A Systematic Literature Review. Neural Process. Lett. 57(1): 2 (2025)- 2024
- [c18]Pierangela Bruno, Francesco Calimeri, Francesca Filice, Cinzia Marte, Simona Perri:
IDADA: A Blended Inductive-Deductive Approach for Data Augmentation. AI*IA 2024: 79-91 - [c17]Pierangela Bruno, Simone Caruso, Carmine Dodaro, Marco Maratea:
A Tool For Reasoning Over CNL Sentences With Temporal Constructs. Datalog 2024: 30-42 - [c16]Pierangela Bruno, Antonio Cirella, Ernesto Di Cesare, Gianluigi Greco, Antonella Guzzo, Pierpaolo Palumbo, Silvano Junior Santini, Gaia Sinatti, Pierpaolo Vittorini, Francesco Calimeri, Clara Balsano:
To Heart via Liver: a Study on Prognostic Stratification of Heart Disease in MASLD Patients using Machine Learning Models. HC@AIxIA 2024: 30-39 - [c15]Megan Macrì, Pierangela Bruno, Carmine Dodaro:
Deep Learning Approaches for Segmentation and Classification of Breast Ultrasound Images (Short Paper). HC@AIxIA 2024: 224-232 - [c14]Carlo Adornetto, Pierangela Bruno, Francesco Calimeri, Edoardo De Rose, Gianluigi Greco, Alessandro Quarta:
AI-Driven Innovations in Healthcare: Bridging Imaging and Genomics for Advanced Disease Insights. Ital-IA 2024: 366-371 - [e3]Slawomir Nowaczyk
, Przemyslaw Biecek, Neo Christopher Chung, Mauro Vallati, Pawel Skruch, Joanna Jaworek-Korjakowska, Simon Parkinson, Alexandros Nikitas, Martin Atzmüller, Tomás Kliegr, Ute Schmid, Szymon Bobek, Nada Lavrac, Marieke Peeters, Roland van Dierendonck, Saskia Robben, Eunika Mercier-Laurent, Gülgün Kayakutlu, Mieczyslaw Lech Owoc, Karl Mason, Abdul Wahid, Pierangela Bruno, Francesco Calimeri, Francesco Cauteruccio, Giorgio Terracina, Diedrich Wolter, Jochen L. Leidner, Michael Kohlhase, Vania Dimitrova:
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. Communications in Computer and Information Science 1947, Springer 2024, ISBN 978-3-031-50395-5 [contents] - [e2]Slawomir Nowaczyk, Przemyslaw Biecek, Neo Christopher Chung, Mauro Vallati, Pawel Skruch, Joanna Jaworek-Korjakowska, Simon Parkinson, Alexandros Nikitas, Martin Atzmüller, Tomás Kliegr, Ute Schmid, Szymon Bobek, Nada Lavrac, Marieke Peeters, Roland van Dierendonck, Saskia Robben, Eunika Mercier-Laurent, Gülgün Kayakutlu, Mieczyslaw Lech Owoc, Karl Mason, Abdul Wahid, Pierangela Bruno, Francesco Calimeri, Francesco Cauteruccio, Giorgio Terracina, Diedrich Wolter, Jochen L. Leidner, Michael Kohlhase, Vania Dimitrova:
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. Communications in Computer and Information Science 1948, Springer 2024, ISBN 978-3-031-50484-6 [contents] - [i5]Pierangela Bruno, Edoardo De Rose, Carlo Adornetto, Francesco Calimeri, Sandro Donato, Raffaele Giuseppe Agostino, Daniela Amelio, Riccardo Barberi, Maria Carmela Cerra, Maria Caterina Crocco, Mariacristina Filice, Raffaele Filosa, Gianluigi Greco, Sandra Imbrogno, Vincenzo Formoso:
μ-Net: A Deep Learning-Based Architecture for μ-CT Segmentation. CoRR abs/2406.16724 (2024) - 2023
- [j4]Tobias Roß, Pierangela Bruno, Annika Reinke, Manuel Wiesenfarth, Lisa Koeppel, Peter M. Full, Bünyamin Pekdemir, Patrick Godau, Darya Trofimova, Fabian Isensee, Tim J. Adler, Thuy Nuong Tran, Sara Moccia, Francesco Calimeri, Beat P. Müller-Stich, Annette Kopp-Schneider, Lena Maier-Hein:
Beyond rankings: Learning (more) from algorithm validation. Medical Image Anal. 86: 102765 (2023) - [c13]Carlo Adornetto, Pierangela Bruno, Francesco Calimeri, Edoardo De Rose, Gianluigi Greco:
Artificial Intelligence in Medicine: From Imaging to Omics. Ital-IA 2023: 140-145 - [i4]Pierangela Bruno, Francesco Calimeri, Cinzia Marte, Simona Perri:
Data Augmentation: a Combined Inductive-Deductive Approach featuring Answer Set Programming. CoRR abs/2310.14413 (2023) - 2022
- [j3]Pierangela Bruno, Maria Francesca Spadea, Salvatore Scaramuzzino, Salvatore De Rosa, Ciro Indolfi, Giuseppe Gargiulo, Giuseppe Giugliano, Giovanni Esposito, Francesco Calimeri, Paolo Zaffino:
Assessing vascular complexity of PAOD patients by deep learning-based segmentation and fractal dimension. Neural Comput. Appl. 34(24): 22015-22022 (2022) - [c12]Alessandro Quarta, Pierangela Bruno, Francesco Calimeri:
Continual Learning for medical image classification. HC@AIxIA 2022: 67-76 - [c11]Marco Scarfone, Pierangela Bruno, Francesco Calimeri:
A Parallelization Approach for Hybrid-AI-based Models: an Application Study for Semantic Segmentation of Medical Images. HYDRA/RCRA@LPNMR 2022: 9-20 - [c10]Pierangela Bruno, Francesco Calimeri, Cinzia Marte:
DeduDeep: An Extensible Framework for Combining Deep Learning and ASP-Based Models. LPNMR 2022: 505-510 - [e1]Pierangela Bruno, Francesco Calimeri, Francesco Cauteruccio, Marco Maratea, Giorgio Terracina, Mauro Vallati:
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. CEUR Workshop Proceedings 3281, CEUR-WS.org 2022 [contents] - 2021
- [j2]Tobias Roß, Annika Reinke, Peter M. Full, Martin Wagner, Hannes Kenngott, Martin Apitz, Hellena Hempe, Diana Mîndroc-Filimon, Patrick Scholz, Thuy Nuong Tran, Pierangela Bruno, Pablo Arbeláez, Gui-Bin Bian, Sebastian Bodenstedt, Jon Lindström Bolmgren, Laura Bravo Sánchez, Hua-Bin Chen, Cristina González, Dong Guo, Pål Halvorsen, Pheng-Ann Heng, Enes Hosgor, Zeng-Guang Hou, Fabian Isensee, Debesh Jha, Tingting Jiang, Yueming Jin, Kadir Kirtaç, Sabrina Kletz, Stefan Leger, Zhixuan Li, Klaus H. Maier-Hein, Zhen-Liang Ni, Michael A. Riegler, Klaus Schoeffmann, Ruohua Shi, Stefanie Speidel, Michael Stenzel, Isabell Twick, Guotai Wang, Jiacheng Wang, Liansheng Wang, Lu Wang, Yujie Zhang, Yan-Jie Zhou, Lei Zhu, Manuel Wiesenfarth, Annette Kopp-Schneider, Beat P. Müller-Stich, Lena Maier-Hein:
Comparative validation of multi-instance instrument segmentation in endoscopy: Results of the ROBUST-MIS 2019 challenge. Medical Image Anal. 70: 101920 (2021) - [c9]Pierangela Bruno, Francesco Calimeri, Cinzia Marte, Marco Manna:
Combining Deep Learning and ASP-Based Models for the Semantic Segmentation of Medical Images. RuleML+RR 2021: 95-110 - [i3]Tobias Roß, Pierangela Bruno, Annika Reinke, Manuel Wiesenfarth, Lisa Koeppel, Peter M. Full, Bünyamin Pekdemir, Patrick Godau, Darya Trofimova, Fabian Isensee, Sara Moccia, Francesco Calimeri, Beat P. Müller-Stich, Annette Kopp-Schneider, Lena Maier-Hein:
How can we learn (more) from challenges? A statistical approach to driving future algorithm development. CoRR abs/2106.09302 (2021) - 2020
- [j1]Pierangela Bruno, Francesco Calimeri, Alexandre Sébastien Kitanidis, Elena De Momi:
Data reduction and data visualization for automatic diagnosis using gene expression and clinical data. Artif. Intell. Medicine 107: 101884 (2020) - [c8]Pierangela Bruno, Cinzia Marte, Francesco Calimeri:
Understanding Automatic COVID-19 Classification Using Chest X-ray images. XAI.it@AI*IA 2020: 29-40 - [c7]Pierangela Bruno, Francesco Calimeri:
Understanding Automatic Pneumonia Classification Using Chest X-Ray Images. AI*IA 2020: 37-50 - [c6]Pierangela Bruno, Francesco Calimeri, Alexandre Sébastien Kitanidis, Elena De Momi:
Understanding Automatic Diagnosis and Classification Processes with Data Visualization. ICHMS 2020: 1-6 - [c5]Moiz Khan Sherwani, Paolo Zaffino, Pierangela Bruno, Maria Francesca Spadea, Francesco Calimeri:
Evaluating the Impact of Training Loss on MR to Synthetic CT Conversion. LOD (1) 2020: 563-573 - [i2]Tobias Roß, Annika Reinke, Peter M. Full, Martin Wagner, Hannes Kenngott, Martin Apitz, Hellena Hempe, Diana Mîndroc-Filimon, Patrick Scholz, Thuy Nuong Tran, Pierangela Bruno, Pablo Arbeláez, Gui-Bin Bian, Sebastian Bodenstedt, Jon Lindström Bolmgren, Laura Bravo Sánchez, Hua-Bin Chen, Cristina González, Dong Guo, Pål Halvorsen, Pheng-Ann Heng, Enes Hosgor, Zeng-Guang Hou, Fabian Isensee, Debesh Jha, Tingting Jiang, Yueming Jin, Kadir Kirtaç, Sabrina Kletz, Stefan Leger, Zhixuan Li, Klaus H. Maier-Hein, Zhen-Liang Ni, Michael A. Riegler, Klaus Schoeffmann, Ruohua Shi, Stefanie Speidel, Michael Stenzel, Isabell Twick, Guotai Wang, Jiacheng Wang, Liansheng Wang, Lu Wang, Yujie Zhang, Yan-Jie Zhou, Lei Zhu, Manuel Wiesenfarth, Annette Kopp-Schneider, Beat Peter Müller-Stich, Lena Maier-Hein:
Robust Medical Instrument Segmentation Challenge 2019. CoRR abs/2003.10299 (2020) - [i1]Lena Maier-Hein, Martin Wagner, Tobias Roß, Annika Reinke, Sebastian Bodenstedt, Peter M. Full, Hellena Hempe, Diana Mîndroc-Filimon, Patrick Scholz, Thuy Nuong Tran, Pierangela Bruno, Anna Kisilenko, Benjamin Müller, Tornike Davitashvili, Manuela Capek, Minu Tizabi, Matthias Eisenmann, Tim J. Adler, Janek Gröhl, Melanie Schellenberg, Silvia Seidlitz, T. Y. Emmy Lai, Veith Roethlingshoefer, Fabian Both, Sebastian Bittel, Marc Mengler, Martin Apitz, Stefanie Speidel, Hannes Götz Kenngott, Beat P. Müller-Stich:
Heidelberg Colorectal Data Set for Surgical Data Science in the Sensor Operating Room. CoRR abs/2005.03501 (2020)
2010 – 2019
- 2019
- [c4]Pierangela Bruno, Francesco Calimeri:
Using Heatmaps for Deep Learning based Disease Classification. CIBCB 2019: 1-7 - 2018
- [c3]Pierangela Bruno, Paolo Zaffino, Salvatore Scaramuzzino, Salvatore De Rosa, Ciro Indolfi, Francesco Calimeri, Maria Francesca Spadea:
Using CNNs for Designing and Implementing an Automatic Vascular Segmentation Method of Biomedical Images. AI*IA 2018: 60-70 - [c2]Pierangela Bruno, Paolo Zaffino, Salvatore Scaramuzzino, Salvatore De Rosa, Ciro Indolfi, Francesco Calimeri, Maria Francesca Spadea:
Segmentation of vessel tree from cine-angiography images for intraoperative clinical evaluation. RiCeRcA@AI*IA 2018 - [c1]Pierangela Bruno, Francesco Calimeri, Aldo Marzullo:
Classification and Survival Prediction in Diffuse Large B-Cell Lymphoma by Gene Expression Profiling. LOD 2018: 166-178
Coauthor Index
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last updated on 2025-01-28 23:35 CET by the dblp team
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