| 1 | Gipiškis, Rokas; Kurasova, Olga. Investigating post-hoc explainability techniques for image segmentation // DAMSS: 15th conference on data analysis methods for software systems, Druskininkai, Lithuania, November 28-30, 2024. Vilnius : Vilniaus universiteto leidykla, 2024. eISBN 9786090711125. p. 33. (Vilnius University Proceedings, eISSN 2669-0233 ; vol. 52). DOI: 10.15388/DAMSS.15.2024. |
| 2 | Gipiškis, Rokas. XAI-driven Model Improvements in Interpretable Image Segmentation // xAI-2024 Late-breaking work, demos and doctoral consortium joint proceedings, Valletta, Malta, July 17-19, 2024. Aachen : CEUR-WS. 2024, p. 369-376. (CEUR Workshop Proceedings, ISSN 1613-0073 ; vol. 3793). |
| 3 | Gipiškis, Rokas; Tsai, Chun-Wei; Kurasova, Olga. Explainable AI (XAI) in image segmentation in medicine, industry, and beyond: A survey // ICT express. Amsterdam : Elsevier. ISSN 2405-9595. 2024, vol. 10, iss. 6, p. 1331-1354. DOI: 10.1016/j.icte.2024.09.008. |
| 4 | 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. |
| 5 | 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. |
| 6 | 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. |
| 7 | 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>. |
| 8 | 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>. |
| 9 | 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. |