Publications 

Selected publication on referenced journals and conference proceedings (for a comprehensive list, please refer to our Scopus, Google Scholar or DBLP profiles).

1. T. Roß, P. Bruno, A. Reinke, M. Wiesenfarth, L. Koeppel, P. M. Full, B. Pekdemir, P. Godau, D. Trofimova, F. Isensee, T. J. Adler, T. N. Tran, S. Moccia, F. Calimeri, B. P. Müller-Stich, A. Kopp-Schneider, and L. Maier-Hein, "Beyond rankings: Learning (more) from algorithm validation", Medical Image Analysis, vol. 86, no. 102765, 2023. DOI: 10.1016/j.media.2023.102765

2. M. Destito, A. Marzullo, R. Leone, P. Zaffino, S. Steffanoni, F. Erbella, F. Calimeri, N. Anzalone, E. De Momi, A. J. M. Ferreri, T. Calimeri, and M. F. Spadea, "Radiomics-Based Machine Learning Model for Predicting Overall and Progression-Free Survival in Rare Cancer: A Case Study for Primary CNS Lymphoma Patients", Bioengineering, vol. 10, no. 3, no. 285, 2023. DOI: 10.3390/bioengineering10030285

3. C. Adornetto, P. Bruno, F. Calimeri, E. De Rose, and G. Greco, "Artificial Intelligence in Medicine: From Imaging to Omics", in CEUR Workshop Proceedings, vol. 3486, pp. 140-145, 2023. 2023 Italia Intelligenza Artificiale - Thematic Workshops, Ital-IA 2023, 29-30 May 2023.

4. P. Bruno, M. F. Spadea, S. Scaramuzzino, S. De Rosa, C. Indolfi, G. Gargiulo, G. Giugliano, G. Esposito, F. Calimeri, and P. Zaffino, "Assessing vascular complexity of PAOD patients by deep learning-based segmentation and fractal dimension", Neural Computing and Applications, vol. 34, no. 24, pp. 22015-22022, 2022. DOI: 10.1007/s00521-022-07642-2

5. M. K. Sherwani, A. Marzullo, E. De Momi, and F. Calimeri, "Lesion segmentation in lung CT scans using unsupervised adversarial learning", Medical and Biological Engineering and Computing, vol. 60, no. 11, pp. 3203-3215, 2022. DOI: 10.1007/s11517-022-02651-8

6. A. Segato, F. Calimeri, I. Testa, V. Corbetta, M. Riva, and E. De Momi, "A hybrid inductive learning-based and deductive reasoning-based 3-D path planning method in complex environments", Autonomous Robots, vol. 46, no. 5, pp. 645-666, 2022. DOI: 10.1007/s10514-022-10042-z

7. A. Marzullo, S. Moccia, F. Calimeri, and E. De Momi, "AIM in Endoscopy Procedures", in Artificial Intelligence in Medicine, pp. 939-949, 2022. DOI: 10.1007/978-3-030-64573-1_164

8. P. Bruno, F. Calimeri, and G. Greco, "AIM in Medical Informatics", in Artificial Intelligence in Medicine, pp. 239-253, 2022. DOI: 10.1007/978-3-030-64573-1_32

9. A. Quarta, P. Bruno, and F. Calimeri, "Continual Learning for medical image classification", in CEUR Workshop Proceedings, vol. 3307, pp. 67-76, 2022. 1st AIxIA Workshop on Artificial Intelligence for Healthcare, HC@AIxIA 2022, 30 November 2022.

10. M. Scarfone, P. Bruno, and F. Calimeri, "A Parallelization Approach for Hybrid-AI-based Models: an Application Study for Semantic Segmentation of Medical Images", in CEUR Workshop Proceedings, vol. 3281, pp. 9-20, 2022. 1st International Workshop on HYbrid Models for Coupling Deductive and Inductive ReAsoning and the 29th RCRA Workshop on Experimental Evaluation of Algorithms for Solving Problems with Combinatorial Explosion, HYDRA-RCRA 2022, 5 September 2022.

11. P. Bruno, F. Calimeri, and C. Marte, "DeduDeep: An Extensible Framework for Combining Deep Learning and ASP-Based Models", in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13416 LNAI, pp. 505-510, 2022. 16th International Conference on Logic Programming and Nonmonotonic Reasoning, LPNMR 2022, 5-9 September 2022. DOI: 10.1007/978-3-031-15707-3_39

12. M. K. Sherwani, A. Aziz, and F. Calimeri, "Role of Deep Learning for Smart Health Care", in Green Energy and Technology, pp. 169-186, 2022. DOI: 10.1007/978-3-030-96429-0_8

13. P. Bruno, F. Calimeri, C. Marte, and M. Manna, "Combining deep learning and ASP-based models for the semantic segmentation of medical images", in Electronic Proceedings in Theoretical Computer Science, EPTCS, vol. 345, pp. 179-181, 2021. 37th International Conference on Logic Programming (Technical Communications), ICLP 2021, 20-27 September 2021. DOI: 10.4204/EPTCS.345.31

14. V. Corbetta, A. Segato, J. Zangari, S. Perri, F. Calimeri, and E. de Momi, "Towards solving path planning in keyhole neurosurgery with answer set programming", in Electronic Proceedings in Theoretical Computer Science, EPTCS, vol. 345, pp. 236-237, 2021. 37th International Conference on Logic Programming (Technical Communications), ICLP 2021, 20-27 September 2021. DOI: 10.4204/EPTCS.345.38

15. A. Marzullo, S. Moccia, M. Catellani, F. Calimeri, and E. D. Momi, "Towards realistic laparoscopic image generation using image-domain translation", Computer Methods and Programs in Biomedicine, vol. 200, no. 105834, 2021. DOI: 10.1016/j.cmpb.2020.105834

16. P. Zaffino, A. Marzullo, S. Moccia, F. Calimeri, E. De Momi, B. Bertucci, P. P. Arcuri, and M. F. Spadea, "An open-source covid-19 ct dataset with automatic lung tissue classification for radiomics", Bioengineering, vol. 8, no. 2, no. 26, pp. 1-9, 2021. DOI: 10.3390/bioengineering8020026

17. A. Marzullo, M. Golini, M. Catellani, E. De Momi, F. Calimeri, G. Fiameni, and I. Frosio, "Standard vs. Learning-based Codecs for Real Time Endoscopic Video Transmission", in CEUR Workshop Proceedings, vol. 3102, 2021. 1st Italian Workshop on Artificial Intelligence and Applications for Business and Industries, AIABI 2021, 30 November 2021.

18. A. Segato, V. Corbetta, J. Zangari, S. Perri, F. Calimeri, and E. de Momi, "Optimized 3D path planner for steerable catheters with deductive reasoning", in Proceedings - IEEE International Conference on Robotics and Automation, pp. 1466-1472, 2021. 2021 IEEE International Conference on Robotics and Automation, ICRA 2021, 30 May-5 June 2021. DOI: 10.1109/ICRA48506.2021.9561374

19. P. Bruno, F. Calimeri, C. Marte, and M. Manna, "Combining Deep Learning and ASP-Based Models for the Semantic Segmentation of Medical Images", in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12851 LNCS, pp. 95-110, 2021. 5th International Joint Conference on Rules and Reasoning, RuleML+RR 2021, 13-15 September 2021. DOI: 10.1007/978-3-030-91167-6_7

20. P. Bruno and F. Calimeri, "Understanding Automatic Pneumonia Classification Using Chest X-Ray Images", in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12414 LNAI, pp. 37-50, 2021. 19th International Conference of the Italian Association for Artificial Intelligence, AIxIA 2020, 24-27 November 2020. DOI: 10.1007/978-3-030-77091-4_3

21. A. Segato, A. Marzullo, F. Calimeri, and E. De Momi, "Artificial intelligence for brain diseases: A systematic review", APL Bioengineering, vol. 4, no. 4, no. 041503, 2020. DOI: 10.1063/5.0011697

22. P. Bruno, F. Calimeri, A. S. Kitanidis, and E. D. Momi, "Understanding Automatic Diagnosis and Classification Processes with Data Visualization", in Proceedings of the 2020 IEEE International Conference on Human-Machine Systems, ICHMS 2020, 2020. 1st IEEE International Conference on Human-Machine Systems, ICHMS 2020, 7-9 September 2020. DOI: 10.1109/ICHMS49158.2020.9209499

23. P. Bruno, F. Calimeri, A. S. Kitanidis, and E. De Momi, "Data reduction and data visualization for automatic diagnosis using gene expression and clinical data", Artificial Intelligence in Medicine, vol. 107, no. 101884, 2020. DOI: 10.1016/j.artmed.2020.101884

24. P. Bruno, P. Zaffino, F. Calimeri, S. Scaramuzzino, C. Indolfi, S. De Rosa, and M. F. Spadea, "Improving the assessment of vascular complexity in peripheral artery occlusive disease", in Convegno Nazionale di Bioingegneria, pp. 556-559, 2020. 7th National Congress of Bioengineering, GNB 2020, 9-11 June 2020.

25. J. F. Lazo, A. Marzullo, S. Moccia, M. Catellani, B. Rosa, F. Calimeri, E. de Momi, and M. de Mathelin, "A lumen segmentation method in ureteroscopy images based on a deep residual U-net architecture", in Proceedings - International Conference on Pattern Recognition, pp. 9203-9210, 2020. 25th International Conference on Pattern Recognition, ICPR 2020, 10-15 January 2021. DOI: 10.1109/ICPR48806.2021.9411924

26. M. K. Sherwani, P. Zaffino, P. Bruno, M. F. Spadea, and F. Calimeri, "Evaluating the Impact of Training Loss on MR to Synthetic CT Conversion", in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12565 LNCS, pp. 563-573, 2020. 6th International Conference on Machine Learning, Optimization, and Data Science, LOD 2020, 19-23 July 2020. DOI: 10.1007/978-3-030-64583-0_50

27. P. Bruno, C. Marte, and F. Calimeri, "Understanding automatic COVID-19 classification using chest X-ray images", in CEUR Workshop Proceedings, vol. 2742, pp. 29-40, 2020. 2020 Italian Workshop on Explainable Artificial Intelligence, XAI.it 2020, 25-26 November 2020.

28. F. Calimeri, F. Cauteruccio, L. Cinelli, A. Marzullo, C. Stamile, G. Terracina, F. Durand-Dubief, D. Sappey-Marinier, "A Logic-Based Framework Leveraging Neural Networks for Studying the Evolution of Neurological Disorders". Theory and Practice of Logic Programming, 1-45, 2019.

29. A. Marzullo, G. Kocevar, C. Stamile, F. Calimeri, G. Terracina, F. Durand-Dubief, and D. Sappey-Marinier, "Prediction of Multiple Sclerosis Patient Disability from Structural Connectivity using Convolutional Neural Networks", in Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, pp. 2087-2090, 2019. 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2019, 23-27 July 2019. DOI: 10.1109/EMBC.2019.8856845

30. P. Bruno and F. Calimeri, "Using Heatmaps for Deep Learning based Disease Classification", in 2019 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2019, 2019. 16th IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2019, 9-11 July 2019. DOI: 10.1109/CIBCB.2019.8791493

31. G. Melissari, A. Marzullo, C. Stamile, F. Calimeri, F. Durand-Dubief, and D. Sappey-Marinier, "Inducing Clinical Course Variations in Multiple Sclerosis White Matter Networks", in Advances in Intelligent Systems and Computing, vol. 997, pp. 900-917, 2019. Computing Conference, 2019, 16-17 July 2019. DOI: 10.1007/978-3-030-22871-2_64

32. A. Marzullo, G. Kocevar, C. Stamile, F. Durand-Dubief, G. Terracina, F. Calimeri, and D. Sappey-Marinier, "Classification of multiple sclerosis clinical profiles via graph convolutional neural networks", Frontiers in Neuroscience, vol. 13, no. 594, 2019. DOI: 10.3389/fnins.2019.00594

33. F. Cauteruccio, P. L. Giudice, G. Terracina, D. Ursino, N. Mammone, F. C. Morabito, "A new network-based approach to investigating neurological disorders", International Journal of Data Mining, Modelling and Management, 11(4), 315-349, 2019.

34. P. Bruno, F. Calimeri, and A. Marzullo, "Classification and survival prediction in diffuse large B-cell lymphoma by gene expression profiling", in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11331 LNCS, pp. 166-178, 2019. 4th International Conference on Machine Learning, Optimization, and Data Science, LOD 2018, 13-16 September 2018. DOI: 10.1007/978-3-030-13709-0_14

35. F. Calimeri, A. Marzullo, C. Stamile, and G. Terracina, "Blood vessel segmentation in retinal fundus images using hypercube neuroevolution of augmenting topologies (HyperNEAT)", in Smart Innovation, Systems and Technologies, vol. 103, pp. 173-183, 2019. DOI: 10.1007/978-3-319-95095-2_17

36. F. Calimeri, C. Stamile, and L. Surace, "S-rep model for fundus image analysis", in 2017 IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2017, pp. 78-82, 2018. 17th IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2017, 18-20 December 2017. DOI: 10.1109/ISSPIT.2017.8388623

37. P. Bruno, P. Zaffino, S. Scaramuzzino, S. De Rosa, C. Indolfi, F. Calimeri, and M. F. Spadea, "Segmentation of vessel tree from cine-angiography images for intraoperative clinical evaluation", in CEUR Workshop Proceedings, vol. 2272, 2018. 2018 RiCeRcA Workshop, RiCeRcA 2018, 22 November 2018.

38. P. Bruno, P. Zaffino, S. Scaramuzzino, S. De Rosa, C. Indolfi, F. Calimeri, and M. F. Spadea, "Using CNNs for Designing and Implementing an Automatic Vascular Segmentation Method of Biomedical Images", in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11298 LNAI, pp. 60-70, 2018. 17th Conference of the Italian Association for Artificial Intelligence, AI*IA 2018, 20-23 November 2018. DOI: 10.1007/978-3-030-03840-3_5

39. F. Calimeri, F. Cauteruccio, A. Marzullo, C. Stamile, and G. Terracina, "Mixing logic programming and neural networks to support neurological disorders analysis", in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11092 LNCS, pp. 33-47, 2018. 2nd International Joint Conference on Rules and Reasoning, RuleML+RR 2018, 18-21 September 2018. DOI: 10.1007/978-3-319-99906-7_3

40. F. Calimeri, A. Marzullo, C. Stamile, and G. Terracina, "Graph based neural networks for automatic classification of multiple sclerosis clinical courses", in ESANN 2018 - Proceedings, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, pp. 231-236, 2018. 26th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2018, 25-27 April 2018.

41. F. Calimeri, M. Caracciolo, A. Marzullo, and C. Stamile, "Biohipi: Biomedical hadoop image processing interface", in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10710 LNCS, pp. 540-548, 2018. 3rd International Conference on Machine Learning, Optimization, and Big Data, MOD 2017, 14-17 September 2017. DOI: 10.1007/978-3-319-72926-8_45

42. F. Calimeri, A. Marzullo, C. Stamile, and G. Terracina, "Optic Disc Detection Using Fine Tuned Convolutional Neural Networks", in Proceedings - 12th International Conference on Signal Image Technology and Internet-Based Systems, SITIS 2016, pp. 69-75, 2017. 12th International Conference on Signal Image Technology and Internet-Based Systems, SITIS 2016, 28 November-1 December 2016. DOI: 10.1109/SITIS.2016.20

43. F. Calimeri, A. Marzullo, C. Stamile, and G. Terracina, "Biomedical data augmentation using generative adversarial neural networks", in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10614 LNCS, pp. 626-634, 2017. 26th International Conference on Artificial Neural Networks, ICANN 2017, 11-14 September 2017. DOI: 10.1007/978-3-319-68612-7_71

44. F. Cauteruccio, C. Stamile, G. Terracina, D. Ursino, D.  Sappey-Marinier, "An automated string-based approach to extracting and characterizing White Matter fiber-bundles", Computers in biology and medicine, 77, 64-75, 2016.

45. F. Cauteruccio, C. Stamile, G. Terracina, D. Ursino, D. Sappey-Marinier, "Improving quickbundles to extract anatomically coherent white matter fiber-bundles". In International Conference on Image Analysis and Recognition (pp. 633-641). Springer, Cham.

46. F. Cauteruccio, C. Stamile, G. Terracina, D. Ursino, D. Sappey-Mariniery, "An automated string-based approach to white matter fiber-bundles clustering". In 2015 International Joint Conference on Neural Networks (IJCNN) (pp. 1-8). IEEE.

47. M. Cavallari, C. Stamile, R. Umeton, F. Calimeri, and F. Orzi, "Novel method for automated analysis of retinal images: Results in subjects with hypertensive retinopathy and CADASIL", BioMed Research International, vol. 2015, no. 752957, 2015. DOI: 10.1155/2015/752957