1 | Gipiškis, Rokas; Chiaro, Diletta; Annunziata, Daniela; Piccialli, Francesco. Ablation studies in activation maps for explainable semantic segmentation in industry 4.0 // IEEE EUROCON 2023 - 20th International Conference on Smart Technologies, 06-08 July 2023, Torino, Italy. New York : IEEE, 2023. ISBN 9781665463980. eISBN 9781665463973. p. 36-41. DOI: 10.1109/EUROCON56442.2023.10199094. |
2 | Gipiškis, Rokas; Kurasova, Olga. Occlusion-based approach for interpretable semantic segmentation // 2023 18th Iberian Conference on Information Systems and Technologies (CISTI), 20–23 June 2023, Aveiro, Portugal. New York : IEEE, 2023. ISBN 9798350305272. eISBN 9789893347928. ISSN 2166-0727. eISSN 2166-0727. p. 1-6. DOI: 10.23919/CISTI58278.2023.10212017. |
3 | Gipiškis, Rokas; Chiaro, Diletta; Preziosi, Marco; Prezioso, Edoardo; Piccialli, Francesco. The impact of adversarial attacks on interpretable semantic segmentation in cyber-physical systems // IEEE systems journal. New York : Institute of Electrical and Electronics Engineers Inc. ISSN 1932-8184. eISSN 1937-9234. 2023, vol. 17, no. 4, p. 5327-5334. DOI: 10.1109/JSYST.2023.3281079. |
4 | Kurasova, Olga; Dzemyda, Gintautas; Medvedev, Viktor; Šubonienė, Aušra; Gipiškis, Rokas; Strupas, Kęstutis; Kielaitė-Gulla, Aistė; Samuilis, Artūras; Jagminas, Džiugas. Deep learning models for pancreatic cancer detection in CT images // EURO 2022: [32nd European Conference on Operational Research (EURO XXXII)], Espoo, Finland, July 3-6, 2022 : abstract book. Espoo : Aalto university, 2022. ISBN 9789519525419. p. 242-243. Prieiga per internetą: <https://www.euro-online.org/conf/admin/tmp/program-euro32.pdf>. |
5 | Kielaitė-Gulla, Aistė; Kurasova, Olga; Samuilis, Artūras; Jagminas, Džiugas; Medvedev, Viktor; Šubonienė, Aušra; Gipiškis, Rokas; Strupas, Kęstutis; Dzemyda, Gintautas. Utilizing deep learning for early diagnosis of pancreatic ductal adenocarcinoma // Joint congress of the 26th meeting of International Association of Pancreatology and the 53rd annual meeting of Japan Pancreas Society, 7-9 July, 2022 : abstract book. Kyoto : International Association of Pancreatology; Japan Pancreas Society. 2022, p. 165-166. Prieiga per internetą: <https://convention.app.box.com/s/r7txfzrb8gio4tu9ph1w7az1vso0oz4r>. |
6 | Gipiškis, Rokas; Kurasova, Olga. Application of CNNs for brain MRI image segmentation // DAMSS: 12th conference on data analysis methods for software systems, Druskininkai, Lithuania, December 2–4, 2021. Vilnius : Vilnius University Press, 2021. ISBN 9786090706732. eISBN 9786090706749. p. 21. (Vilnius university proceedings, eISSN 2669-0233 ; vol. 17). DOI: 10.15388/DAMSS.12.2021. |