Pierangela Bruno

37 papers B 2C 1Journal 15Unranked 15
YearRankTypeTitle / Venue / Authors
2026 J jnl
Data Augmentation: A Combined Inductive-Deductive Approach Featuring Answer Set Programming.
Intelligenza Artificiale
Pierangela Bruno, Francesco Calimeri, Cinzia Marte, Simona Perri
2025 J jnl
A Dual-stage Deep Learning Framework for Breast Ultrasound Image Segmentation and Classification.
J. Medical Syst.
Pierangela Bruno, Megan Macrì, Carmine Dodaro
2025 J jnl
A multi-model deep learning approach for the identification of coronary artery calcifications within 2D coronary angiography images.
Int. J. Comput. Assist. Radiol. Surg.
Edoardo De Rose, Ciro Benito Raggio, Ahmad Riccardo Rasheed, Pierangela Bruno, Paolo Zaffino, Salvatore De Rosa, Francesco Calimeri, Maria Francesca Spadea
2025 J jnl
Continual Learning in Medicine: A Systematic Literature Review.
Neural Process. Lett.
Pierangela Bruno, Alessandro Quarta, Francesco Calimeri
2025 J jnl
Improving ASP-Based ORS Schedules through Machine Learning Predictions.
Theory Pract. Log. Program.
Pierangela Bruno, Carmine Dodaro, Giuseppe Galatà, Marco Maratea, Marco Mochi
2025 J jnl
Improving ASP-based ORS Schedules through Machine Learning Predictions.
CoRR
Pierangela Bruno, Carmine Dodaro, Giuseppe Galatà, Marco Maratea, Marco Mochi
2025 — ed.
Joint Proceedings of the Workshops and Doctoral Consortium of the 41st International Conference on Logic Programming (ICLP-WS-DC 2025) co-located with 41st International Conference on Logic Programming (ICLP 2025), Rende, Italy, September 9-13, 2025.
ICLP Workshops
Damiano Azzolini, Sotirios Batsakis, Manuel Alejandro Borroto Santana, Pierangela Bruno, Laura Andrea Cecchi, Jorge Fandinno, Markus Hecher, Marco Maratea, José F. Morales, Brais Muñiz, Emmanuel Papadakis, Livio Robaldo, Luciano Serafini, Fabrizio Lo Scudo, Ilias Tachmazidis, Alice Tarzariol, Mauro Vallati, Adam Wyner
2024 — conf
A Tool For Reasoning Over CNL Sentences With Temporal Constructs.
Datalog
Pierangela Bruno, Simone Caruso, Carmine Dodaro, Marco Maratea
2024 — conf
AI-Driven Innovations in Healthcare: Bridging Imaging and Genomics for Advanced Disease Insights.
Ital-IA
Carlo Adornetto, Pierangela Bruno, Francesco Calimeri, Edoardo De Rose, Gianluigi Greco, Alessandro Quarta
2024 — ed.
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
ECAI Workshops (1)
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
2024 — ed.
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
ECAI Workshops (2)
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
2024 — conf
Deep Learning Approaches for Segmentation and Classification of Breast Ultrasound Images (Short Paper).
HC@AIxIA
Megan Macrì, Pierangela Bruno, Carmine Dodaro
2024 — conf
IDADA: A Blended Inductive-Deductive Approach for Data Augmentation.
AI*IA
Pierangela Bruno, Francesco Calimeri, Francesca Filice, Cinzia Marte, Simona Perri
2024 — conf
To Heart via Liver: a Study on Prognostic Stratification of Heart Disease in MASLD Patients using Machine Learning Models.
HC@AIxIA
Pierangela Bruno, Antonio Cirella, Ernesto Di Cesare, Gianluigi Greco, Antonella Guzzo, Pierpaolo Palumbo, Silvano Junior Santini, Gaia Sinatti, Pierpaolo Vittorini, Francesco Calimeri, Clara Balsano
2024 J jnl
μ-Net: A Deep Learning-Based Architecture for μ-CT Segmentation.
CoRR
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
2023 — conf
Artificial Intelligence in Medicine: From Imaging to Omics.
Ital-IA
Carlo Adornetto, Pierangela Bruno, Francesco Calimeri, Edoardo De Rose, Gianluigi Greco
2023 J jnl
Beyond rankings: Learning (more) from algorithm validation.
Medical Image Anal.
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
2023 J jnl
Data Augmentation: a Combined Inductive-Deductive Approach featuring Answer Set Programming.
CoRR
Pierangela Bruno, Francesco Calimeri, Cinzia Marte, Simona Perri
2022 — conf
A Parallelization Approach for Hybrid-AI-based Models: an Application Study for Semantic Segmentation of Medical Images.
HYDRA/RCRA@LPNMR
Marco Scarfone, Pierangela Bruno, Francesco Calimeri
2022 J jnl
Assessing vascular complexity of PAOD patients by deep learning-based segmentation and fractal dimension.
Neural Comput. Appl.
Pierangela Bruno, Maria Francesca Spadea, Salvatore Scaramuzzino, Salvatore De Rosa, Ciro Indolfi, Giuseppe Gargiulo, Giuseppe Giugliano, Giovanni Esposito, Francesco Calimeri, Paolo Zaffino
2022 — conf
Continual Learning for medical image classification.
HC@AIxIA
Alessandro Quarta, Pierangela Bruno, Francesco Calimeri
2022 B conf
DeduDeep: An Extensible Framework for Combining Deep Learning and ASP-Based Models.
LPNMR
Pierangela Bruno, Francesco Calimeri, Cinzia Marte
2022 — ed.
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.
HYDRA/RCRA@LPNMR
Pierangela Bruno, Francesco Calimeri, Francesco Cauteruccio, Marco Maratea, Giorgio Terracina, Mauro Vallati
2021 B conf
Combining Deep Learning and ASP-Based Models for the Semantic Segmentation of Medical Images.
RuleML+RR
Pierangela Bruno, Francesco Calimeri, Cinzia Marte, Marco Manna
2021 J jnl
Comparative validation of multi-instance instrument segmentation in endoscopy: Results of the ROBUST-MIS 2019 challenge.
Medical Image Anal.
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
2021 J jnl
How can we learn (more) from challenges? A statistical approach to driving future algorithm development.
CoRR
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
2020 J jnl
Data reduction and data visualization for automatic diagnosis using gene expression and clinical data.
Artif. Intell. Medicine
Pierangela Bruno, Francesco Calimeri, Alexandre Sébastien Kitanidis, Elena De Momi
2020 — conf
Evaluating the Impact of Training Loss on MR to Synthetic CT Conversion.
LOD (1)
Moiz Khan Sherwani, Paolo Zaffino, Pierangela Bruno, Maria Francesca Spadea, Francesco Calimeri
2020 J jnl
Heidelberg Colorectal Data Set for Surgical Data Science in the Sensor Operating Room.
CoRR
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
2020 J jnl
Robust Medical Instrument Segmentation Challenge 2019.
CoRR
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
2020 — conf
Understanding Automatic COVID-19 Classification Using Chest X-ray images.
XAI.it@AI*IA
Pierangela Bruno, Cinzia Marte, Francesco Calimeri
2020 — conf
Understanding Automatic Diagnosis and Classification Processes with Data Visualization.
ICHMS
Pierangela Bruno, Francesco Calimeri, Alexandre Sébastien Kitanidis, Elena De Momi
2020 — conf
Understanding Automatic Pneumonia Classification Using Chest X-Ray Images.
AI*IA
Pierangela Bruno, Francesco Calimeri
2019 C conf
Using Heatmaps for Deep Learning based Disease Classification.
CIBCB
Pierangela Bruno, Francesco Calimeri
2018 — conf
Classification and Survival Prediction in Diffuse Large B-Cell Lymphoma by Gene Expression Profiling.
LOD
Pierangela Bruno, Francesco Calimeri, Aldo Marzullo
2018 — conf
Segmentation of vessel tree from cine-angiography images for intraoperative clinical evaluation.
RiCeRcA@AI*IA
Pierangela Bruno, Paolo Zaffino, Salvatore Scaramuzzino, Salvatore De Rosa, Ciro Indolfi, Francesco Calimeri, Maria Francesca Spadea
2018 — conf
Using CNNs for Designing and Implementing an Automatic Vascular Segmentation Method of Biomedical Images.
AI*IA
Pierangela Bruno, Paolo Zaffino, Salvatore Scaramuzzino, Salvatore De Rosa, Ciro Indolfi, Francesco Calimeri, Maria Francesca Spadea