{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,15]],"date-time":"2024-10-15T12:10:22Z","timestamp":1728994222286},"reference-count":9,"publisher":"Institute of Electronics, Information and Communications Engineers (IEICE)","issue":"3","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEICE Trans. Inf. &amp; Syst."],"published-print":{"date-parts":[[2023,3,1]]},"DOI":"10.1587\/transinf.2022edl8059","type":"journal-article","created":{"date-parts":[[2023,2,28]],"date-time":"2023-02-28T22:20:10Z","timestamp":1677622810000},"page":"423-426","source":"Crossref","is-referenced-by-count":1,"title":["GUI System to Support Cardiology Examination Based on Explainable Regression CNN for Estimating Pulmonary Artery Wedge Pressure"],"prefix":"10.1587","volume":"E106.D","author":[{"given":"Yuto","family":"OMAE","sequence":"first","affiliation":[{"name":"Department of Industrial Engineering and Management, College of Industrial Technology, Nihon University"}]},{"given":"Yuki","family":"SAITO","sequence":"additional","affiliation":[{"name":"Division of Cardiology, Department of Medicine, Nihon University School of Medicine"}]},{"given":"Yohei","family":"KAKIMOTO","sequence":"additional","affiliation":[{"name":"Department of Industrial Engineering and Management, College of Industrial Technology, Nihon University"}]},{"given":"Daisuke","family":"FUKAMACHI","sequence":"additional","affiliation":[{"name":"Division of Cardiology, Department of Medicine, Nihon University School of Medicine"}]},{"given":"Koichi","family":"NAGASHIMA","sequence":"additional","affiliation":[{"name":"Division of Cardiology, Department of Medicine, Nihon University School of Medicine"}]},{"given":"Yasuo","family":"OKUMURA","sequence":"additional","affiliation":[{"name":"Division of Cardiology, Department of Medicine, Nihon University School of Medicine"}]},{"given":"Jun","family":"TOYOTANI","sequence":"additional","affiliation":[{"name":"Department of Industrial Engineering and Management, College of Industrial Technology, Nihon University"}]}],"member":"532","reference":[{"key":"1","doi-asserted-by":"publisher","unstructured":"[1] M.M. Hoeper, S.H. Lee, R. Voswinckel, M. Palazzini, X. Jais, A. Marinelli, R.J. Barst, H.A. Ghofrani, Z.-C. Jing, C. Opitz, H.-J. Seyfarth, M. Halank, V. McLaughlin, R.J. Oudiz, R. Ewert, H. Wilkens, S. Kluge, H.-C. Bremer, E. Baroke, and L.J. Rubin, \u201cComplications of right heart catheterization procedures in patients with pulmonary hypertension in experienced centers,\u201d Journal of the American College of Cardiology, vol.48, no.12, pp.2546-2552, Dec. 2006. 10.1016\/j.jacc.2006.07.061","DOI":"10.1016\/j.jacc.2006.07.061"},{"key":"2","unstructured":"[2] T.A. McDonagh, M. Metra, M. Adamo, R.S. Gardner, A. Baumbach, and M. B\u00f6hm, \u201c2021 ESC guidelines for the diagnosis and treatment of acute and chronic heart failureDeveloped by the Task Force for the diagnosis and treatment of acute and chronic heart failure of the European Society of Cardiology (ESC) With the special contribution,\u201d European Heart Journal, vol.42, no.36, pp.3599-3726, Sept. 2021."},{"key":"3","doi-asserted-by":"publisher","unstructured":"[3] Y. Chen, E. Shlofmitz, N. Khalid, N.L. Bernardo, I. Ben-Dor, W.S. Weintraub, and R. Waksman, \u201cRight heart catheterization-related complications: a review of the literature and best practices,\u201d Cardiology in Review, vol.28, no.1, pp.36-41, Jan. 2020. 10.1097\/crd.0000000000000270","DOI":"10.1097\/CRD.0000000000000270"},{"key":"4","doi-asserted-by":"publisher","unstructured":"[4] Y. Hirata, K. Kusunose, T. Tsuji, K. Fujimori, J. Kotoku, and M. Sata, \u201cDeep learning for detection of elevated pulmonary artery wedge pressure using standard chest x-ray,\u201d Canadian Journal of Cardiology, vol.37, no.8, pp.1198-1206, Aug. 2021. 10.1016\/j.cjca.2021.02.007","DOI":"10.1016\/j.cjca.2021.02.007"},{"key":"5","doi-asserted-by":"publisher","unstructured":"[5] Y. Saito, Y. Omae, D. Fukamachi, K. Nagashima, S. Mizobuchi, Y. Kakimoto, J. Toyotani, and Y. Okumura, \u201cQuantitative estimation of pulmonary artery wedge pressure from chest radiographs by a regression convolutional neural network,\u201d Heart and Vessels, vol.37, no.8, pp.1387-1394, Feb. 2022. 10.1007\/s00380-022-02043-w","DOI":"10.1007\/s00380-022-02043-w"},{"key":"6","doi-asserted-by":"crossref","unstructured":"[6] Z. Wang and J. Yang, \u201cDiabetic retinopathy detection via deep convolutional networks for discriminative localization and visual explanation,\u201d Proceedings of the thirty-second AAAI conference on artificial intelligence, pp.514-521, 2018.","DOI":"10.1109\/ICVRV.2018.00016"},{"key":"7","unstructured":"[7] A. Galdo, John A and Riggs, A Rickard and Morris, \u201cAcute Decompensated Heart Failure,\u201d US Pharmacist, vol.38, no.2, pp.2-8, 2013."},{"key":"8","unstructured":"[8] Y. Omae, Y. Saito, D. Fukamachi, K. Nagashima, Y. Okumura, and J. Toyotani, \u201cRelationship between Regression Activation Map of R-CNN for Estimating Pulmonary Artery Wedge Pressure from Chest Radiographs and Generalization Score,\u201d IEICE Technical Report, vol.122, no.94, pp.52-54, 2022."},{"key":"9","unstructured":"[9] Ministry of Economy Trade and Industry, \u201cMedical Image Diagnosis Support System,\u201d 2019. https:\/\/www.meti.go.jp\/policy\/mono_info_service\/healthcare\/iryou\/downloadfiles\/pdf\/47_guideline.pdf, accessed at July 12, 2022."}],"container-title":["IEICE Transactions on Information and Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/transinf\/E106.D\/3\/E106.D_2022EDL8059\/_pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,15]],"date-time":"2024-10-15T11:34:01Z","timestamp":1728992041000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/transinf\/E106.D\/3\/E106.D_2022EDL8059\/_article"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,3,1]]},"references-count":9,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2023]]}},"URL":"https:\/\/doi.org\/10.1587\/transinf.2022edl8059","relation":{},"ISSN":["0916-8532","1745-1361"],"issn-type":[{"type":"print","value":"0916-8532"},{"type":"electronic","value":"1745-1361"}],"subject":[],"published":{"date-parts":[[2023,3,1]]},"article-number":"2022EDL8059"}}