{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,8]],"date-time":"2026-04-08T06:14:04Z","timestamp":1775628844029,"version":"3.50.1"},"reference-count":47,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,12,3]],"date-time":"2025-12-03T00:00:00Z","timestamp":1764720000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,12,3]],"date-time":"2025-12-03T00:00:00Z","timestamp":1764720000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100006151","name":"Basic Energy Sciences","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100006151","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100006132","name":"Office of Science","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100006132","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100006151","name":"Basic Energy Sciences","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100006151","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,12,3]]},"DOI":"10.1109\/icmla66185.2025.00051","type":"proceedings-article","created":{"date-parts":[[2026,4,7]],"date-time":"2026-04-07T19:54:58Z","timestamp":1775591698000},"page":"330-337","source":"Crossref","is-referenced-by-count":0,"title":["Uncertainty-Guided Learning for Semantic Segmentation in CT using Noisy Pseudo Labels"],"prefix":"10.1109","author":[{"given":"Austin","family":"Yunker","sequence":"first","affiliation":[{"name":"Argonne National Laboratory,Data Science and Learning Division,IL,USA"}]},{"given":"Peter","family":"Kenesei","sequence":"additional","affiliation":[{"name":"Argonne National Laboratory,X-Ray Science Division,IL,USA"}]},{"given":"Hemant","family":"Sharma","sequence":"additional","affiliation":[{"name":"Argonne National Laboratory,X-Ray Science Division,IL,USA"}]},{"given":"Jun-Sang","family":"Park","sequence":"additional","affiliation":[{"name":"Argonne National Laboratory,X-Ray Science Division,IL,USA"}]},{"given":"Antonino","family":"Miceli","sequence":"additional","affiliation":[{"name":"Argonne National Laboratory,X-Ray Science Division,IL,USA"}]},{"given":"Rajkumar","family":"Kettimuthu","sequence":"additional","affiliation":[{"name":"Argonne National Laboratory,Data Science and Learning Division,IL,USA"}]}],"member":"263","reference":[{"key":"ref1","article-title":"Computed tomography from photon statistics to modern cone-beam ct","author":"Buzug","year":"2008"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1098\/rsta.2022.0350"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/79.581370"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.4141\/CJSS06027"},{"issue":"3","key":"ref5","first-page":"84","article-title":"Health monitoring of structural elements using ct-xray","volume":"40","author":"Nateghi Alahi","year":"2024","journal-title":"Sharif Journal of Civil Engineering"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3059968"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-024-44824-z"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.01547"},{"key":"ref9","first-page":"23803","article-title":"Cross-entropy loss functions: Theoretical analysis and applications","volume-title":"International conference on Machine learning","author":"Mao"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1038\/s41592-020-01008-z"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.marpetgeo.2020.104234"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-019-05855-6"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00264"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00421"},{"key":"ref15","first-page":"896","article-title":"Pseudo-label: The simple and efficient semi-supervised learning method for deep neural networks","volume-title":"Workshop on challenges in representation learning, ICML","volume":"3","author":"Lee"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.52202\/068431-1886"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00423"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN48605.2020.9207304"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/springerreference_179137"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1117\/12.2594332"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/s10853-020-05148-7"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejmp.2021.05.003"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1002\/cav.2223"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-87193-2_10"},{"key":"ref25","article-title":"An image is worth 16x16 words: Transformers for image recognition at scale","author":"Dosovitskiy","year":"2020"},{"key":"ref26","article-title":"Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results","volume":"30","author":"Tarvainen","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"ref27","first-page":"596","article-title":"Fixmatch: Simplifying semi-supervised learning with consistency and confidence","volume":"33","author":"Sohn","year":"2020","journal-title":"Advances in neural information processing systems"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-88013-2_8"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00812"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP42928.2021.9506602"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2022.108925"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/WACV56688.2023.00586"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2022.3152527"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v31i1.10894"},{"key":"ref35","article-title":"Generalized cross entropy loss for training deep neural networks with noisy labels","volume":"31","author":"Zhang","year":"2018","journal-title":"Advances in neural information processing systems"},{"key":"ref36","first-page":"2980","article-title":"Focal loss for dense object detection","volume-title":"proceedings of the IEEE conference on computer vision and pattern recognition","author":"Ross"},{"key":"ref37","first-page":"6543","article-title":"Normalized loss functions for deep learning with noisy labels","volume-title":"International conference on machine learning","author":"Ma"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2023.107840"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2022.3178128"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1107\/s1600577521011322"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1016\/j.compgeo.2020.103718"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1016\/j.matchar.2023.113174"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"ref44","article-title":"Decoupled weight decay regularization","author":"Loshchilov","year":"2017"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1201.0490"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.3390\/j2020016"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1038\/s41586-020-2649-2"}],"event":{"name":"2025 International Conference on Machine Learning and Applications (ICMLA)","location":"Boca Raton, FL, USA","start":{"date-parts":[[2025,12,3]]},"end":{"date-parts":[[2025,12,5]]}},"container-title":["2025 International Conference on Machine Learning and Applications (ICMLA)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11471302\/11471304\/11471531.pdf?arnumber=11471531","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,8]],"date-time":"2026-04-08T05:38:34Z","timestamp":1775626714000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11471531\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,12,3]]},"references-count":47,"URL":"https:\/\/doi.org\/10.1109\/icmla66185.2025.00051","relation":{},"subject":[],"published":{"date-parts":[[2025,12,3]]}}}