{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,29]],"date-time":"2026-07-29T15:59:01Z","timestamp":1785340741689,"version":"3.55.0"},"publisher-location":"New York, NY, USA","reference-count":31,"publisher":"ACM","license":[{"start":{"date-parts":[[2026,6,30]],"date-time":"2026-06-30T00:00:00Z","timestamp":1782777600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/legalcode"}],"funder":[{"name":"Italian Ministry of Health","award":["PNRR-MCNT2-2023-12377755"],"award-info":[{"award-number":["PNRR-MCNT2-2023-12377755"]}]},{"name":"The Kempe Foundation","award":["JCSMK24-0094"],"award-info":[{"award-number":["JCSMK24-0094"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2026,6,30]]},"DOI":"10.1145\/3807503.3819440","type":"proceedings-article","created":{"date-parts":[[2026,7,29]],"date-time":"2026-07-29T02:55:27Z","timestamp":1785293727000},"page":"1-6","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Virtual Scanning for NSCLC Histology: Investigating the Discriminatory Power of Synthetic PET"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5677-2024","authenticated-orcid":false,"given":"Fatih","family":"Aksu","sequence":"first","affiliation":[{"name":"Universit\u00e0 Campus Bio-Medico di Roma, Rome, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-6829-8139","authenticated-orcid":false,"given":"Laura","family":"Ciuffetti","sequence":"additional","affiliation":[{"name":"Universit\u00e0 Campus Bio-Medico di Roma, Rome, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-4792-5200","authenticated-orcid":false,"given":"Francesco","family":"Di Feola","sequence":"additional","affiliation":[{"name":"Ume\u00e5 University, Ume\u00e5, Sweden"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-9759-5492","authenticated-orcid":false,"given":"Filippo","family":"Ruffini","sequence":"additional","affiliation":[{"name":"Ume\u00e5 University, Ume\u00e5, Sweden"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1624-1709","authenticated-orcid":false,"given":"Giulia","family":"Romoli","sequence":"additional","affiliation":[{"name":"Ume\u00e5 University, Ume\u00e5, Sweden"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7120-333X","authenticated-orcid":false,"given":"Fabrizia","family":"Gelardi","sequence":"additional","affiliation":[{"name":"Universit\u00e0 Vita-Salute San Raffaele, Milan, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5806-1856","authenticated-orcid":false,"given":"Arturo","family":"Chiti","sequence":"additional","affiliation":[{"name":"Universit\u00e0 Vita-Salute San Raffaele, Milan, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1860-7447","authenticated-orcid":false,"given":"Valerio","family":"Guarrasi","sequence":"additional","affiliation":[{"name":"Universit\u00e0 Campus Bio-Medico di Roma, Rome, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2621-072X","authenticated-orcid":false,"given":"Paolo","family":"Soda","sequence":"additional","affiliation":[{"name":"Universit\u00e0 Campus Bio-Medico di Roma, Rome, Italy and Ume\u00e5 University, Ume\u00e5, Sweden"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2026,7,28]]},"reference":[{"key":"e_1_3_3_2_2_2","doi-asserted-by":"publisher","DOI":"10.1109\/CBMS58004.2023.00328"},{"key":"e_1_3_3_2_3_2","doi-asserted-by":"publisher","DOI":"10.1109\/BIBM62325.2024.10822421"},{"key":"e_1_3_3_2_4_2","doi-asserted-by":"crossref","unstructured":"Fatih Aksu et\u00a0al. 2025. Multi-stage intermediate fusion for multimodal learning to classify non-small cell lung cancer subtypes from CT and PET. Pattern Recognition Letters (2025).","DOI":"10.1016\/j.patrec.2025.04.001"},{"key":"e_1_3_3_2_5_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICHI64645.2025.00079"},{"key":"e_1_3_3_2_6_2","doi-asserted-by":"crossref","unstructured":"Gerald Antoch et\u00a0al. 2003. Non\u2013small cell lung cancer: dual-modality PET\/CT in preoperative staging. Radiology 229 2 (2003) 526\u2013533.","DOI":"10.1148\/radiol.2292021598"},{"key":"e_1_3_3_2_7_2","doi-asserted-by":"crossref","unstructured":"Joshua\u00a0D Campbell et\u00a0al. 2016. Distinct patterns of somatic genome alterations in lung adenocarcinomas and squamous cell carcinomas. Nature Genetics 48 6 (2016) 607\u2013616.","DOI":"10.1038\/ng.3564"},{"key":"e_1_3_3_2_8_2","doi-asserted-by":"crossref","unstructured":"Kari Chansky et\u00a0al. 2009. The International Association for the Study of Lung Cancer Staging Project: prognostic factors and pathologic TNM stage in surgically managed non-small cell lung cancer. Journal of Thoracic Oncology 4 7 (2009) 792\u2013801.","DOI":"10.1097\/JTO.0b013e3181a7716e"},{"key":"e_1_3_3_2_9_2","doi-asserted-by":"crossref","unstructured":"Salman\u00a0UH Dar et\u00a0al. 2019. Image synthesis in multi-contrast MRI with conditional generative adversarial networks. IEEE Transactions on Medical Imaging 38 10 (2019) 2375\u20132388.","DOI":"10.1109\/TMI.2019.2901750"},{"key":"e_1_3_3_2_10_2","doi-asserted-by":"crossref","unstructured":"Sanuwani Dayarathna et\u00a0al. 2024. Deep learning based synthesis of MRI CT and PET: Review and analysis. Medical Image Analysis 92 (2024) 103046.","DOI":"10.1016\/j.media.2023.103046"},{"key":"e_1_3_3_2_11_2","doi-asserted-by":"crossref","unstructured":"Constance de Margerie-Mellon et\u00a0al. 2016. Image-guided biopsy in primary lung cancer: Why when and how. Diagnostic and Interventional Imaging 97 10 (2016) 965\u2013972.","DOI":"10.1016\/j.diii.2016.06.016"},{"key":"e_1_3_3_2_12_2","doi-asserted-by":"publisher","unstructured":"Sergios Gatidis and Thomas K\u00fcstner. 2022. A whole-body FDG-PET\/CT dataset with manually annotated tumor lesions (FDG-PET-CT-Lesions). The Cancer Imaging Archive [Dataset]. 10.7937\/gkr0-xv29","DOI":"10.7937\/gkr0-xv29"},{"key":"e_1_3_3_2_13_2","doi-asserted-by":"crossref","unstructured":"Valerio Guarrasi et\u00a0al. 2025. A systematic review of intermediate fusion in multimodal deep learning for biomedical applications. Image and Vision Computing (2025) 105509.","DOI":"10.1016\/j.imavis.2025.105509"},{"key":"e_1_3_3_2_14_2","doi-asserted-by":"publisher","DOI":"10.1109\/CBMS65348.2025.00114"},{"key":"e_1_3_3_2_15_2","doi-asserted-by":"crossref","unstructured":"Johannes Hofmanninger et\u00a0al. 2020. Automatic lung segmentation in routine imaging is primarily a data diversity problem not a methodology problem. European Radiology Experimental 4 (2020) 1\u201313.","DOI":"10.1186\/s41747-020-00173-2"},{"key":"e_1_3_3_2_16_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.632"},{"key":"e_1_3_3_2_17_2","doi-asserted-by":"crossref","unstructured":"Binghu Jiang et\u00a0al. 2014. Thin-section CT findings in peripheral lung cancer of 3 cm or smaller: are there any characteristic features for predicting tumor histology or do they depend only on tumor size? Acta Radiologica 55 3 (2014) 302\u2013308.","DOI":"10.1177\/0284185113495834"},{"key":"e_1_3_3_2_18_2","doi-asserted-by":"crossref","unstructured":"Massimiliano Mantegna et\u00a0al. 2026. Virtual treatment for radiotherapy: Multimodal Generative Prediction of Longitudinal NSCLC Tumor Progression. Computerized Medical Imaging and Graphics (2026) 102774.","DOI":"10.1016\/j.compmedimag.2026.102774"},{"key":"e_1_3_3_2_19_2","doi-asserted-by":"crossref","unstructured":"Daniele Molino et\u00a0al. 2026. XGeM: A multi-prompt foundation model for multimodal medical data generation. Computerized Medical Imaging and Graphics (2026) 102718.","DOI":"10.1016\/j.compmedimag.2026.102718"},{"key":"e_1_3_3_2_20_2","doi-asserted-by":"crossref","unstructured":"RuoXi Qin et\u00a0al. 2020. Fine-Grained Lung Cancer Classification from PET and CT Images Based on Multidimensional Attention Mechanism. Complexity 2020 1 (2020) 6153657.","DOI":"10.1155\/2020\/6153657"},{"key":"e_1_3_3_2_21_2","doi-asserted-by":"crossref","unstructured":"Aurora Rofena et\u00a0al. 2024. A deep learning approach for virtual contrast enhancement in Contrast Enhanced Spectral Mammography. Computerized Medical Imaging and Graphics 116 (2024) 102398.","DOI":"10.1016\/j.compmedimag.2024.102398"},{"key":"e_1_3_3_2_22_2","doi-asserted-by":"publisher","DOI":"10.1109\/CBMS65348.2025.00039"},{"key":"e_1_3_3_2_23_2","doi-asserted-by":"crossref","unstructured":"Lalith Kumar\u00a0Shiyam Sundar et\u00a0al. 2022. Fully automated semantic segmentation of whole-body 18F-FDG PET\/CT images based on data-centric artificial intelligence. Journal of Nuclear Medicine 63 12 (2022) 1941\u20131948.","DOI":"10.2967\/jnumed.122.264063"},{"key":"e_1_3_3_2_24_2","doi-asserted-by":"crossref","unstructured":"Satoshi Takeuchi et\u00a0al. 2014. Impact of initial PET\/CT staging in terms of clinical stage management plan and prognosis in 592 patients with non-small-cell lung cancer. European Journal of Nuclear Medicine and Molecular Imaging 41 (2014) 906\u2013914.","DOI":"10.1007\/s00259-013-2672-8"},{"key":"e_1_3_3_2_25_2","unstructured":"The International Agency for Research on Cancer (IARC). 2024. Global Cancer Observatory. https:\/\/gco.iarc.fr\/"},{"key":"e_1_3_3_2_26_2","doi-asserted-by":"crossref","unstructured":"Selene Tomassini et\u00a0al. 2022. Lung nodule diagnosis and cancer histology classification from computed tomography data by convolutional neural networks: A survey. Computers in Biology and Medicine 146 (2022) 105691.","DOI":"10.1016\/j.compbiomed.2022.105691"},{"key":"e_1_3_3_2_27_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00675"},{"key":"e_1_3_3_2_28_2","unstructured":"William\u00a0D Travis et\u00a0al. 2015. The 2015 World Health Organization classification of lung tumors: impact of genetic clinical and radiologic advances since the 2004 classification. Journal of Thoracic Oncology 10 9 (2015) 1243\u20131260."},{"key":"e_1_3_3_2_29_2","doi-asserted-by":"crossref","unstructured":"Bing-Yen Wang et\u00a0al. 2020. The comparison between adenocarcinoma and squamous cell carcinoma in lung cancer patients. Journal of Cancer Research and Clinical Oncology 146 1 (2020) 43\u201352.","DOI":"10.1007\/s00432-019-03079-8"},{"key":"e_1_3_3_2_30_2","doi-asserted-by":"crossref","unstructured":"Ge Wang et\u00a0al. 2022. Development of metaverse for intelligent healthcare. Nature machine intelligence 4 11 (2022) 922\u2013929.","DOI":"10.1038\/s42256-022-00549-6"},{"key":"e_1_3_3_2_31_2","doi-asserted-by":"crossref","unstructured":"Weimiao Wu et\u00a0al. 2016. Exploratory study to identify radiomics classifiers for lung cancer histology. Frontiers in oncology 6 (2016) 71.","DOI":"10.3389\/fonc.2016.00071"},{"key":"e_1_3_3_2_32_2","doi-asserted-by":"crossref","unstructured":"Xinzhong Zhu et\u00a0al. 2018. Radiomic signature as a diagnostic factor for histologic subtype classification of non-small cell lung cancer. European radiology 28 7 (2018) 2772\u20132778.","DOI":"10.1007\/s00330-017-5221-1"}],"event":{"name":"BCB '26: 17th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics","location":"Rende (CS) Italy","acronym":"BCB '26","sponsor":["SIGBio ACM Special Interest Group on Bioinformatics"]},"container-title":["Proceedings of the 17th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3807503.3819440","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,7,29]],"date-time":"2026-07-29T15:11:31Z","timestamp":1785337891000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3807503.3819440"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,6,30]]},"references-count":31,"alternative-id":["10.1145\/3807503.3819440","10.1145\/3807503"],"URL":"https:\/\/doi.org\/10.1145\/3807503.3819440","relation":{},"subject":[],"published":{"date-parts":[[2026,6,30]]},"assertion":[{"value":"2026-07-28","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}