{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,19]],"date-time":"2025-11-19T19:11:42Z","timestamp":1763579502662,"version":"3.45.0"},"publisher-location":"Gdansk, Poland; Belgrade, Serbia","reference-count":10,"publisher":"University of Gdansk, Department of Business Informatics & University of Belgrade, Faculty of Organizational Sciences","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"DOI":"10.62036\/isd.2025.112","type":"proceedings-article","created":{"date-parts":[[2025,11,19]],"date-time":"2025-11-19T00:45:28Z","timestamp":1763513128000},"source":"Crossref","is-referenced-by-count":0,"title":["Radiomic Medical Data Transformation for Radiologists Support"],"prefix":"10.62036","author":[{"given":"Marcin","family":"Luckner","sequence":"first","affiliation":[{"name":"Warsaw University of Technology, Poland"}]},{"given":"Pawel","family":"Gelar","sequence":"additional","affiliation":[{"name":"Warsaw University of Technology, Poland"}]},{"given":"Agata","family":"Kaczmarek","sequence":"additional","affiliation":[{"name":"Warsaw University of Technology, Poland"}]},{"given":"Adam","family":"Kaniasty","sequence":"additional","affiliation":[{"name":"Warsaw University of Technology, Poland"}]},{"given":"Bartosz","family":"Kochanski","sequence":"additional","affiliation":[{"name":"Warsaw University of Technology, Poland"}]},{"given":"Tymoteusz","family":"Kwiecinski","sequence":"additional","affiliation":[{"name":"Warsaw University of Technology, Poland"}]},{"given":"Wiktoria","family":"Mieleszczenko-Kowszewicz","sequence":"additional","affiliation":[{"name":"Warsaw University of Technology, Poland"}]},{"given":"Przemyslaw","family":"Biecek","sequence":"additional","affiliation":[{"name":"Warsaw University of Technology, Poland"}]}],"member":"48375","published-online":{"date-parts":[[2025,11,17]]},"reference":[{"key":"ref0","doi-asserted-by":"publisher","unstructured":"[1] Chraba\u02dbszcz, M., Baniecki, H., Komorowski, P., Plotka, S., Biecek, P.: Aggregated attributions for explanatory analysis of 3d segmentation models. In: 2025 IEEE\/CVF Winter Conference on Applications of Computer Vision (WACV). pp. 160-171 (2025)","DOI":"10.1109\/WACV61041.2025.00026"},{"key":"ref1","doi-asserted-by":"publisher","unstructured":"[2] Hatamizadeh, A., Tang, Y., Nath, V., Yang, D., Myronenko, A., Landman, B., Roth, H.R., Xu, D.: Unetr: Transformers for 3d medical image segmentation. In: Proceedings of the IEEE\/CVF winter conference on applications of computer vision. pp. 574-584 (2022)","DOI":"10.1109\/WACV51458.2022.00181"},{"key":"ref2","doi-asserted-by":"publisher","unstructured":"[3] Isensee, F., Jaeger, P.F., Kohl, S.A., Petersen, J., Maier-Hein, K.H.: nnu-net: a selfconfiguring method for deep learning-based biomedical image segmentation. Nature methods 18(2), pp. 203-211 (2021)","DOI":"10.1038\/s41592-020-01008-z"},{"key":"ref3","doi-asserted-by":"publisher","unstructured":"[4] van Leeuwen, K.G., Schalekamp, S., Rutten, M.J.C.M., van Ginneken, B., de Rooij, M.: Artificial intelligence in radiology: 100 commercially available products and their scientific evidence. European Radiology 31(6), pp. 3797-3804 (2021)","DOI":"10.1007\/s00330-021-07892-z"},{"key":"ref4","doi-asserted-by":"publisher","unstructured":"[5] Rister, B., Yi, D., Shivakumar, K., Nobashi, T., Rubin, D.L.: Ct-org, a new dataset for multiple organ segmentation in computed tomography. Scientific Data 7(1), pp. 381 (2020)","DOI":"10.1038\/s41597-020-00715-8"},{"key":"ref5","doi-asserted-by":"publisher","unstructured":"[6] Salimi, Y., Shiri, I., Mansouri, Z., Zaidi, H.: Deep learning-assisted multiple organ segmentation from whole-body ct images. medRxiv (2023)","DOI":"10.1101\/2023.10.20.23297331"},{"key":"ref6","doi-asserted-by":"publisher","unstructured":"[7] Shen, N., Wang, Z., Li, J., Gao, H., Lu, W., Hu, P., Feng, L.: Multi-organ segmentation network for abdominal ct images based on spatial attention and deformable convolution. Expert Systems with Applications 211, pp. 118625 (2023)","DOI":"10.1016\/j.eswa.2022.118625"},{"key":"ref7","doi-asserted-by":"publisher","unstructured":"[8] Somasundaram, E., Taylor, Z., Alves, V.V., Qiu, L., Fortson, B.L., Mahalingam, N., Dudley, J.A., Li, H., Brady, S.L., Trout, A.T., Dillman, J.R.: Deep learning models for abdominal ct organ segmentation in children: Development and validation in internal and heterogeneous public datasets. American Journal of Roentgenology 223(1), pp. e2430931 (2024), pMID: 38691411","DOI":"10.2214\/AJR.24.30931"},{"key":"ref8","doi-asserted-by":"publisher","unstructured":"[9] Wasserthal, J., Breit, H.C., Meyer, M.T., Pradella, M., Hinck, D., Sauter, A.W., Heye, T., Boll, D.T., Cyriac, J., Yang, S., et al.: Totalsegmentator: Robust segmentation of 104 anatomic structures in ct images. Radiology: Artificial Intelligence 5(5) (2023)","DOI":"10.1148\/ryai.230024"},{"key":"ref9","doi-asserted-by":"publisher","unstructured":"[10] Zhao, Q., Zhong, L., Xiao, J., Zhang, J., Chen, Y., Liao, W., Zhang, S., Wang, G.: Efficient multi-organ segmentation from 3d abdominal ct images with lightweight network and knowledge distillation. IEEE Transactions on Medical Imaging 42(9), pp. 2513-2523 (2023)","DOI":"10.1109\/TMI.2023.3262680"}],"event":{"name":"33rd International Conference on Information Systems Development","start":{"date-parts":[[2025,9,3]]},"location":"Belgrade, Serbia","end":{"date-parts":[[2025,9,5]]},"acronym":"ISD 2025"},"container-title":["International Conference on Information Systems Development","Proceedings of the 33rd International Conference on Information Systems Development"],"original-title":[],"link":[{"URL":"https:\/\/aisel.aisnet.org\/cgi\/viewcontent.cgi?article=1710&context=isd2014&unstamped=1","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,19]],"date-time":"2025-11-19T18:45:41Z","timestamp":1763577941000},"score":1,"resource":{"primary":{"URL":"https:\/\/aisel.aisnet.org\/isd2014\/proceedings2025\/transformation\/28"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,11,17]]},"references-count":10,"URL":"https:\/\/doi.org\/10.62036\/isd.2025.112","relation":{},"ISSN":["2938-5202"],"issn-type":[{"type":"print","value":"2938-5202"}],"subject":[],"published":{"date-parts":[[2025,11,17]]}}}