Pierangela Bruno

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 22

Top Topics

Gene Expression

Top Venues

Medical Image Anal.

Artif. Intell. Medicine

Publications

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 (2024)
Pierangela Bruno, Francesco Calimeri, Cinzia Marte, Simona Perri
Data Augmentation: a Combined Inductive-Deductive Approach featuring Answer Set Programming. CoRR (2023)
Carlo Adornetto, Pierangela Bruno, Francesco Calimeri, Edoardo De Rose, Gianluigi Greco
Artificial Intelligence in Medicine: From Imaging to Omics. Ital-IA (2023)
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 (2023)
Alessandro Quarta, Pierangela Bruno, Francesco Calimeri
Continual Learning for medical image classification. HC@AIxIA (2022)
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) (2022)
Pierangela Bruno, Francesco Calimeri, Cinzia Marte
DeduDeep: An Extensible Framework for Combining Deep Learning and ASP-Based Models. LPNMR (2022)
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)
Tobias Roß, Annika Reinke, Peter M. Full, Martin Wagner, Hannes Kenngott, Martin Apitz, Hellena Hempe, Diana Mindroc 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 (2021)
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 (2021)
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)
Pierangela Bruno, Cinzia Marte, Francesco Calimeri
Understanding Automatic COVID-19 Classification Using Chest X-ray images. XAI.it@AI*IA (2020)
Lena Maier-Hein, Martin Wagner, Tobias Roß, Annika Reinke, Sebastian Bodenstedt, Peter M. Full, Hellena Hempe, Diana Mindroc 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 (2020)
Pierangela Bruno, Francesco Calimeri, Alexandre Sébastien Kitanidis, Elena De Momi
Understanding Automatic Diagnosis and Classification Processes with Data Visualization. ICHMS (2020)
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 (2020)
Pierangela Bruno, Francesco Calimeri
Understanding Automatic Pneumonia Classification Using Chest X-Ray Images. AI*IA (2020)
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)
Tobias Roß, Annika Reinke, Peter M. Full, Martin Wagner, Hannes Kenngott, Martin Apitz, Hellena Hempe, Diana Mindroc 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 (2020)
Pierangela Bruno, Francesco Calimeri
Using Heatmaps for Deep Learning based Disease Classification. CIBCB (2019)
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)
Pierangela Bruno, Francesco Calimeri, Aldo Marzullo
Classification and Survival Prediction in Diffuse Large B-Cell Lymphoma by Gene Expression Profiling. LOD (2018)
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)