{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T18:01:23Z","timestamp":1730311283257,"version":"3.28.0"},"reference-count":23,"publisher":"SPIE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,4,4]]},"DOI":"10.1117\/12.2602884","type":"proceedings-article","created":{"date-parts":[[2022,2,18]],"date-time":"2022-02-18T13:41:29Z","timestamp":1645191689000},"page":"82","source":"Crossref","is-referenced-by-count":2,"title":["One class to rule them all: detection and classification of prostate tumors presence in bi-parametric MRI based on auto-encoders"],"prefix":"10.1117","author":[{"given":"Alvaro","family":"Fernandez-Quilez","sequence":"first","affiliation":[]},{"given":"Habib","family":"Ullah","sequence":"additional","affiliation":[]},{"given":"Trygve","family":"Eftest\u00f8l","sequence":"additional","affiliation":[]},{"given":"Svein","family":"Reidar Kjosavik","sequence":"additional","affiliation":[]},{"given":"Ketil","family":"Oppedal","sequence":"additional","affiliation":[]}],"member":"189","reference":[{"issue":"1","key":"c1","first-page":"7","article-title":"Cancer statistics, 2020","volume":"70","author":"Siegel","year":"2020","journal-title":"CA: A Cancer Journal for Clinicians"},{"issue":"6","key":"c2","first-page":"394","article-title":"Global cancer statistics 2018","volume":"68","author":"Bray","year":"2018","journal-title":"CA: A Cancer Journal for Clinicians"},{"key":"c3","doi-asserted-by":"publisher","DOI":"10.21149\/10960"},{"key":"c4","doi-asserted-by":"publisher","DOI":"10.1056\/NEJMe0901166"},{"key":"c5","doi-asserted-by":"publisher","DOI":"10.1016\/S0022-5347(17)38663-9"},{"key":"c6","doi-asserted-by":"publisher","DOI":"10.21037\/tau"},{"key":"c7","doi-asserted-by":"publisher","DOI":"10.1038\/s41571-020-0332-z"},{"key":"c8","doi-asserted-by":"publisher","DOI":"10.1002\/nbm.2934"},{"key":"c9","doi-asserted-by":"publisher","DOI":"10.1016\/j.eururo.2019.02.033"},{"key":"c10","article-title":"Self-transfer learning via patches: A prostate cancer triage approach based on bi-parametric mri","author":"Fernandez-Quilez","year":"2021","journal-title":"arXiv preprint arXiv:2107.10806"},{"key":"c11","article-title":"End-to-end prostate cancer detection in bpmri via 3d cnns: Effect of attention mechanisms, clinical priori and decoupled false positive reduction","author":"Saha","year":"2021","journal-title":"arXiv preprint arXiv:2101.03244"},{"key":"c12","article-title":"Unsupervised detection of lesions in brain mri using constrained adversarial auto-encoders","author":"Chen","year":"2018","journal-title":"arXiv preprint arXiv:1806.04972"},{"key":"c13","first-page":"52","article-title":"Stacked convolutional auto-encoders for hierarchical feature extraction","volume-title":"International conference on artificial neural networks","author":"Masci","year":"2011"},{"key":"c14","article-title":"Auto-encoding variational bayes","author":"Kingma","year":"2013","journal-title":"arXiv preprint arXiv:1312.6114"},{"key":"c15","doi-asserted-by":"publisher","DOI":"10.3390\/jimaging4020036"},{"key":"c16","doi-asserted-by":"publisher","DOI":"10.1117\/1.JMI.4.3.035501"},{"key":"c17","doi-asserted-by":"crossref","first-page":"511","DOI":"10.1007\/978-981-10-7563-6_53","article-title":"Detection of outliers using interquartile range technique from intrusion dataset","volume-title":"Information and Decision Sciences","author":"Vinutha","year":"2018"},{"key":"c18","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2014.2303821"},{"key":"c19","doi-asserted-by":"crossref","first-page":"1915","DOI":"10.1109\/ISBI48211.2021.9433793","article-title":"Improving prostate whole gland segmentation in t2-weighted mri with synthetically generated data","volume-title":"2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI)","author":"Fernandez-Quilez","year":"2021"},{"key":"c20","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejrad.2021.109647"},{"key":"c21","first-page":"234","article-title":"U-net: Convolutional networks for biomedical image segmentation","volume-title":"International Conference on Medical image computing and computer-assisted intervention","author":"Ronneberger","year":"2015"},{"key":"c22","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.42"},{"key":"c23","first-page":"552","article-title":"An automated two-step pipeline for aggressive prostate lesion detection from multi-parametric mr sequence","volume-title":"AMIA Summits on Translational Science Proceedings","volume":"2020","author":"Sanyal","year":"2020"}],"event":{"name":"Computer-Aided Diagnosis","start":{"date-parts":[[2022,2,20]]},"location":"San Diego, United States","end":{"date-parts":[[2022,3,28]]}},"container-title":["Medical Imaging 2022: Computer-Aided Diagnosis"],"original-title":[],"deposited":{"date-parts":[[2022,7,2]],"date-time":"2022-07-02T21:30:08Z","timestamp":1656797408000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.spiedigitallibrary.org\/conference-proceedings-of-spie\/12033\/2602884\/One-class-to-rule-them-all--detection-and-classification\/10.1117\/12.2602884.full"}},"subtitle":[],"editor":[{"given":"Khan M.","family":"Iftekharuddin","sequence":"additional","affiliation":[]},{"given":"Karen","family":"Drukker","sequence":"additional","affiliation":[]},{"given":"Maciej A.","family":"Mazurowski","sequence":"additional","affiliation":[]},{"given":"Hongbing","family":"Lu","sequence":"additional","affiliation":[]},{"given":"Chisako","family":"Muramatsu","sequence":"additional","affiliation":[]},{"given":"Ravi K.","family":"Samala","sequence":"additional","affiliation":[]}],"short-title":[],"issued":{"date-parts":[[2022,4,4]]},"references-count":23,"URL":"https:\/\/doi.org\/10.1117\/12.2602884","relation":{},"subject":[],"published":{"date-parts":[[2022,4,4]]}}}