Folio L - Search Results

1

Combination of texture and shape features to detect pulmonary abnormalities in digital chest X-rays.

Karargyris A, Siegelman J, Tzortzis D, Jaeger S, Candemir S, Xue Z, Santosh KC, Vajda S, Antani S, Folio L, Thoma GR. Karargyris A, et al. Among authors: folio l. Int J Comput Assist Radiol Surg. 2016 Jan;11(1):99-106. doi: 10.1007/s11548-015-1242-x. Epub 2015 Jun 20. Int J Comput Assist Radiol Surg. 2016. PMID: 26092662

2

Atlas-based rib-bone detection in chest X-rays.

Candemir S, Jaeger S, Antani S, Bagci U, Folio LR, Xu Z, Thoma G. Candemir S, et al. Comput Med Imaging Graph. 2016 Jul;51:32-9. doi: 10.1016/j.compmedimag.2016.04.002. Epub 2016 Apr 13. Comput Med Imaging Graph. 2016. PMID: 27156048 Free PMC article.

3

Detecting drug-resistant tuberculosis in chest radiographs.

Jaeger S, Juarez-Espinosa OH, Candemir S, Poostchi M, Yang F, Kim L, Ding M, Folio LR, Antani S, Gabrielian A, Hurt D, Rosenthal A, Thoma G. Jaeger S, et al. Among authors: folio lr. Int J Comput Assist Radiol Surg. 2018 Dec;13(12):1915-1925. doi: 10.1007/s11548-018-1857-9. Epub 2018 Oct 3. Int J Comput Assist Radiol Surg. 2018. PMID: 30284153 Free PMC article.

4

Automatic screening for tuberculosis in chest radiographs: a survey.

Jaeger S, Karargyris A, Candemir S, Siegelman J, Folio L, Antani S, Thoma G. Jaeger S, et al. Among authors: folio l. Quant Imaging Med Surg. 2013 Apr;3(2):89-99. doi: 10.3978/j.issn.2223-4292.2013.04.03. Quant Imaging Med Surg. 2013. PMID: 23630656 Free PMC article.

5

Automatic tuberculosis screening using chest radiographs.

Jaeger S, Karargyris A, Candemir S, Folio L, Siegelman J, Callaghan F, Zhiyun Xue, Palaniappan K, Singh RK, Antani S, Thoma G, Yi-Xiang Wang, Pu-Xuan Lu, McDonald CJ. Jaeger S, et al. Among authors: folio l. IEEE Trans Med Imaging. 2014 Feb;33(2):233-45. doi: 10.1109/TMI.2013.2284099. Epub 2013 Oct 1. IEEE Trans Med Imaging. 2014. PMID: 24108713

6

DeBoNet: A deep bone suppression model ensemble to improve disease detection in chest radiographs.

Rajaraman S, Cohen G, Spear L, Folio L, Antani S. Rajaraman S, et al. Among authors: folio l. PLoS One. 2022 Mar 31;17(3):e0265691. doi: 10.1371/journal.pone.0265691. eCollection 2022. PLoS One. 2022. PMID: 35358235 Free PMC article.

7

Analyzing inter-reader variability affecting deep ensemble learning for COVID-19 detection in chest radiographs.

Rajaraman S, Sornapudi S, Alderson PO, Folio LR, Antani SK. Rajaraman S, et al. PLoS One. 2020 Nov 12;15(11):e0242301. doi: 10.1371/journal.pone.0242301. eCollection 2020. PLoS One. 2020. PMID: 33180877 Free PMC article.

8

Chest X-ray Bone Suppression for Improving Classification of Tuberculosis-Consistent Findings.

Rajaraman S, Zamzmi G, Folio L, Alderson P, Antani S. Rajaraman S, et al. Among authors: folio l. Diagnostics (Basel). 2021 May 7;11(5):840. doi: 10.3390/diagnostics11050840. Diagnostics (Basel). 2021. PMID: 34067034 Free PMC article.

9

Iteratively Pruned Deep Learning Ensembles for COVID-19 Detection in Chest X-rays.

Rajaraman S, Siegelman J, Alderson PO, Folio LS, Folio LR, Antani SK. Rajaraman S, et al. IEEE Access. 2020;8:115041-115050. doi: 10.1109/access.2020.3003810. Epub 2020 Jun 19. IEEE Access. 2020. PMID: 32742893 Free PMC article.

10

Improved Semantic Segmentation of Tuberculosis-Consistent Findings in Chest X-rays Using Augmented Training of Modality-Specific U-Net Models with Weak Localizations.

Rajaraman S, Folio LR, Dimperio J, Alderson PO, Antani SK. Rajaraman S, et al. Diagnostics (Basel). 2021 Mar 30;11(4):616. doi: 10.3390/diagnostics11040616. Diagnostics (Basel). 2021. PMID: 33808240 Free PMC article.

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