Sfoglia per Autore
Classification and survival prediction in diffuse large B-cell lymphoma by gene expression profiling
2018-01-01 Bruno, P.; Calimeri, F.; Marzullo, A.
Segmentation of vessel tree from cine-angiography images for intraoperative clinical evaluation
2018-01-01 Bruno, P.; Zaffino, P.; Scaramuzzino, S.; De Rosa, S.; Indolfi, C.; Calimeri, F.; Spadea, M. F.
Using CNNs for Designing and Implementing an Automatic Vascular Segmentation Method of Biomedical Images
2018-01-01 Bruno, P.; Zaffino, P.; Scaramuzzino, S.; De Rosa, S.; Indolfi, C.; Calimeri, F.; Spadea, M. F.
Using Heatmaps for Deep Learning based Disease Classification
2019-01-01 Bruno, P.; Calimeri, F.
Understanding automatic COVID-19 classification using chest X-ray images
2020-01-01 Bruno, P.; Marte, C.; Calimeri, F.
Evaluating the Impact of Training Loss on MR to Synthetic CT Conversion
2020-01-01 Sherwani, MOIZ KHAN; Zaffino, Paolo; Bruno, Pierangela; Francesca Spadea, Maria; Calimeri, Francesco
Data reduction and data visualization for automatic diagnosis using gene expression and clinical data
2020-01-01 Bruno, P.; Calimeri, F.; Kitanidis, A. S.; De Momi, E.
Understanding Automatic Diagnosis and Classification Processes with Data Visualization
2020-01-01 Bruno, P.; Calimeri, F.; Kitanidis, A. S.; De Momi, E.
Combining Deep Learning and ASP-Based Models for the Semantic Segmentation of Medical Images
2021-01-01 Bruno, P.; Calimeri, F.; Marte, C.; Manna, M.
Understanding Automatic Pneumonia Classification Using Chest X-Ray Images
2021-01-01 Bruno, P.; Calimeri, F.
Combining deep learning and ASP-based models for the semantic segmentation of medical images
2021-01-01 Bruno, P.; Calimeri, F.; Marte, C.; Manna, M.
Heidelberg colorectal data set for surgical data science in the sensor operating room
2021-01-01 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
Comparative validation of multi-instance instrument segmentation in endoscopy: Results of the ROBUST-MIS 2019 challenge
2021-01-01 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
2022-01-01 Quarta, A.; Bruno, P.; Calimeri, F.
AIM in Medical Informatics
2022-01-01 Bruno, Pierangela; Calimeri, Francesco; Greco, Gianluigi
A Parallelization Approach for Hybrid-AI-based Models: an Application Study for Semantic Segmentation of Medical Images
2022-01-01 Scarfone, M.; Bruno, P.; Calimeri, F.
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
2022-01-01 Bruno, Pierangela; Calimeri, Francesco; Cauteruccio, Francesco; Maratea, Marco; Terracina, Giorgio; Vallati, Mauro
Assessing vascular complexity of PAOD patients by deep learning-based segmentation and fractal dimension
2022-01-01 Bruno, P.; Spadea, M. F.; Scaramuzzino, S.; De Rosa, S.; Indolfi, C.; Gargiulo, G.; Giugliano, G.; Esposito, G.; Calimeri, F.; Zaffino, P.
DeduDeep: An Extensible Framework for Combining Deep Learning and ASP-Based Models
2022-01-01 Bruno, P.; Calimeri, F.; Marte, C.
Beyond rankings: Learning (more) from algorithm validation
2023-01-01 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.
Titolo | Data di pubblicazione | Autore(i) | File |
---|---|---|---|
Classification and survival prediction in diffuse large B-cell lymphoma by gene expression profiling | 1-gen-2018 | Bruno, P.; Calimeri, F.; Marzullo, A. | |
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. | |
Using CNNs for Designing and Implementing an Automatic Vascular Segmentation Method of Biomedical Images | 1-gen-2018 | Bruno, P.; Zaffino, P.; Scaramuzzino, S.; De Rosa, S.; Indolfi, C.; Calimeri, F.; Spadea, M. F. | |
Using Heatmaps for Deep Learning based Disease Classification | 1-gen-2019 | Bruno, P.; Calimeri, F. | |
Understanding automatic COVID-19 classification using chest X-ray images | 1-gen-2020 | Bruno, P.; Marte, C.; Calimeri, F. | |
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 | |
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. | |
Understanding Automatic Diagnosis and Classification Processes with Data Visualization | 1-gen-2020 | Bruno, P.; Calimeri, F.; Kitanidis, A. S.; De Momi, E. | |
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. | |
Understanding Automatic Pneumonia Classification Using Chest X-Ray Images | 1-gen-2021 | Bruno, P.; Calimeri, F. | |
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. | |
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 | |
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. | |
AIM in Medical Informatics | 1-gen-2022 | Bruno, Pierangela; Calimeri, Francesco; Greco, Gianluigi | |
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. | |
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 | |
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. | |
DeduDeep: An Extensible Framework for Combining Deep Learning and ASP-Based Models | 1-gen-2022 | Bruno, P.; Calimeri, F.; Marte, C. | |
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. |
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