{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,4]],"date-time":"2025-12-04T14:46:36Z","timestamp":1764859596608,"version":"3.37.3"},"reference-count":61,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"3","license":[{"start":{"date-parts":[[2024,3,1]],"date-time":"2024-03-01T00:00:00Z","timestamp":1709251200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,3,1]],"date-time":"2024-03-01T00:00:00Z","timestamp":1709251200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,3,1]],"date-time":"2024-03-01T00:00:00Z","timestamp":1709251200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61876066","81901711","82302314"],"award-info":[{"award-number":["61876066","81901711","82302314"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002858","name":"China Postdoctoral Science Foundation","doi-asserted-by":"publisher","award":["2021M700930"],"award-info":[{"award-number":["2021M700930"]}],"id":[{"id":"10.13039\/501100002858","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Guangzhou Postdoctoral Research Foundation","award":["BHSKY20211204"],"award-info":[{"award-number":["BHSKY20211204"]}]},{"name":"Special Fund for the Construction of High-Level Key Clinical Specialty (Medical Imaging) in Guangzhou, Guangzhou Key Laboratory of Molecular Imaging and Clinical Translational Medicine"},{"DOI":"10.13039\/501100021171","name":"Basic and Applied Basic Research Foundation of Guangdong Province","doi-asserted-by":"publisher","award":["2022A1515110792","2022A1515110112"],"award-info":[{"award-number":["2022A1515110792","2022A1515110112"]}],"id":[{"id":"10.13039\/501100021171","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Science and Technology Projects in Guangzhou","award":["2023A04J1275"],"award-info":[{"award-number":["2023A04J1275"]}]},{"name":"Guangzhou First People\u2019s Hospital Frontier Medical Technology Project","award":["QY-C04"],"award-info":[{"award-number":["QY-C04"]}]},{"DOI":"10.13039\/501100003785","name":"Medical Scientific Research Foundation of Guangdong Province","doi-asserted-by":"publisher","award":["A2023073"],"award-info":[{"award-number":["A2023073"]}],"id":[{"id":"10.13039\/501100003785","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Med. Imaging"],"published-print":{"date-parts":[[2024,3]]},"DOI":"10.1109\/tmi.2023.3331301","type":"journal-article","created":{"date-parts":[[2023,11,8]],"date-time":"2023-11-08T18:59:52Z","timestamp":1699469992000},"page":"1225-1236","source":"Crossref","is-referenced-by-count":4,"title":["HRadNet: A Hierarchical Radiomics-Based Network for Multicenter Breast Cancer Molecular Subtypes Prediction"],"prefix":"10.1109","volume":"43","author":[{"given":"Yinhao","family":"Liang","sequence":"first","affiliation":[{"name":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China"}]},{"given":"Wenjie","family":"Tang","sequence":"additional","affiliation":[{"name":"Department of Radiology, Guangzhou First People&#x2019;s Hospital, Guangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9357-4238","authenticated-orcid":false,"given":"Ting","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Radiology, Guangzhou First People&#x2019;s Hospital, Guangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0783-3585","authenticated-orcid":false,"given":"Wing W. Y.","family":"Ng","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China"}]},{"given":"Siyi","family":"Chen","sequence":"additional","affiliation":[{"name":"Department of Radiology, Guangzhou First People&#x2019;s Hospital, Guangzhou, China"}]},{"given":"Kuiming","family":"Jiang","sequence":"additional","affiliation":[{"name":"Department of Radiology, Guangdong Women and Children Hospital, Guangdong, Guangzhou, China"}]},{"given":"Xinhua","family":"Wei","sequence":"additional","affiliation":[{"name":"Department of Radiology, Guangzhou First People&#x2019;s Hospital, Guangzhou, China"}]},{"given":"Xinqing","family":"Jiang","sequence":"additional","affiliation":[{"name":"Department of Radiology, Guangzhou First People&#x2019;s Hospital, Guangzhou, China"}]},{"given":"Yuan","family":"Guo","sequence":"additional","affiliation":[{"name":"Department of Radiology, Guangzhou First People&#x2019;s Hospital, Guangzhou, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.3322\/caac.21660"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1093\/annonc\/mdr304"},{"key":"ref3","volume":"1024","author":"Amin","year":"2017","journal-title":"AJCC Cancer Staging Manual"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/s00330-021-08127-x"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1093\/annonc\/mds512"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/s10549-015-3572-3"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.ebiom.2021.103684"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1002\/jmri.27957"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/s00330-021-08173-5"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejrad.2019.03.015"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1155\/2019\/6978650"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1038\/s41416-018-0185-8"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TRPMS.2019.2899538"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2017.2778799"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2020.2980145"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2019.04.018"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1088\/1361-6560\/ac195a"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/s10278-019-00179-2"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.3389\/fonc.2021.623506"},{"key":"ref20","first-page":"1","article-title":"Predicting molecular subtypes of breast cancer using multimodal deep learning and incorporation of the attention mechanism","volume-title":"Proc. Med. Imag. Deep Learn.","author":"Zhang"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/s00330-020-07274-x"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/s00330-019-06384-5"},{"key":"ref23","first-page":"1","article-title":"ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Geirhos"},{"key":"ref24","first-page":"1","article-title":"Shape or texture: Understanding discriminative features in CNNs","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Islam"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/s00330-021-08146-8"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.3390\/jcm9061853"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2017.2775662"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1002\/mp.12453"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1117\/1.JMI.3.3.034501"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2021.3069920"},{"key":"ref31","first-page":"1","article-title":"3D-RADNet: Extracting labels from DICOM metadata for training general medical domain deep 3D convolution neural networks","volume-title":"Proc. Med. Imag. Deep Learn.","author":"Du"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI45749.2020.9098645"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2021.3062002"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2020.3012383"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TETCI.2019.2922340"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-020-66110-w"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1038\/s41591-018-0107-6"},{"key":"ref38","doi-asserted-by":"crossref","DOI":"10.1016\/j.media.2020.101907","article-title":"Test-time adaptable neural networks for robust medical image segmentation","volume":"68","author":"Karani","year":"2021","journal-title":"Med. Image Anal."},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2020.3035424"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2020.2973595"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2021.3070127"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2022.01.049"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijepes.2021.106954"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2015.2431251"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2019.2923756"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2020.3032728"},{"issue":"3","key":"ref47","doi-asserted-by":"crossref","first-page":"296","DOI":"10.1016\/j.amjsurg.2006.03.004","article-title":"Macroscopic tumor size as a simple prognostic indicator in patients with gastric cancer","volume":"192","author":"Saito","year":"2006","journal-title":"Amer. J. Surgery"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.106"},{"key":"ref49","first-page":"1","article-title":"Very deep convolutional networks for large-scale image recognition","volume-title":"Proc. 3rd Int. Conf. Learn. Represent. (ICLR)","author":"Simonyan"},{"key":"ref50","article-title":"Scaling up your kernels to 31 \u00d7 31: Revisiting large kernel design in CNNs","author":"Ding","year":"2022","journal-title":"arXiv:2203.06717"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2007.894058"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1136\/bmj.i6"},{"key":"ref53","first-page":"2668","article-title":"Interpretability beyond feature attribution: Quantitative testing with concept activation vectors (TCAV)","volume-title":"Proc. Int. Conf. Mach. Learn. (ICML)","author":"Kim"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-02628-8_14"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2020191145"},{"volume-title":"Workflow for Optimal Radiomics Classification (WORC)","year":"2018","author":"Starmans","key":"ref56"},{"key":"ref57","article-title":"Reproducible radiomics through automated machine learning validated on twelve clinical applications","author":"Starmans","year":"2021","journal-title":"arXiv:2108.08618"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"article-title":"An image is worth 16 \u00d7 16 words: Transformers for image recognition at scale","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Dosovitskiy","key":"ref59"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939785"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2021204433"}],"container-title":["IEEE Transactions on Medical Imaging"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/42\/10460358\/10312800.pdf?arnumber=10312800","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,2]],"date-time":"2024-09-02T04:54:06Z","timestamp":1725252846000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10312800\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,3]]},"references-count":61,"journal-issue":{"issue":"3"},"URL":"https:\/\/doi.org\/10.1109\/tmi.2023.3331301","relation":{},"ISSN":["0278-0062","1558-254X"],"issn-type":[{"type":"print","value":"0278-0062"},{"type":"electronic","value":"1558-254X"}],"subject":[],"published":{"date-parts":[[2024,3]]}}}