Frangi AF - Search Results

1

Dynamic feature learning for COVID-19 segmentation and classification.

Zhang X, Jiang R, Huang P, Wang T, Hu M, Scarsbrook AF, Frangi AF. Zhang X, et al. Among authors: frangi af. Comput Biol Med. 2022 Nov;150:106136. doi: 10.1016/j.compbiomed.2022.106136. Epub 2022 Sep 30. Comput Biol Med. 2022. PMID: 36240599 Free PMC article.

2

Intrinsic layer based automatic specular reflection detection in endoscopic images.

Asif M, Song H, Chen L, Yang J, Frangi AF. Asif M, et al. Among authors: frangi af. Comput Biol Med. 2021 Jan;128:104106. doi: 10.1016/j.compbiomed.2020.104106. Epub 2020 Nov 11. Comput Biol Med. 2021. PMID: 33221640

3

Baseline PET/CT imaging parameters for prediction of treatment outcome in Hodgkin and diffuse large B cell lymphoma: a systematic review.

Frood R, Burton C, Tsoumpas C, Frangi AF, Gleeson F, Patel C, Scarsbrook A. Frood R, et al. Among authors: frangi af. Eur J Nucl Med Mol Imaging. 2021 Sep;48(10):3198-3220. doi: 10.1007/s00259-021-05233-2. Epub 2021 Feb 18. Eur J Nucl Med Mol Imaging. 2021. PMID: 33604689 Free PMC article.

4

Medical imaging and computational image analysis in COVID-19 diagnosis: A review.

Nabavi S, Ejmalian A, Moghaddam ME, Abin AA, Frangi AF, Mohammadi M, Rad HS. Nabavi S, et al. Among authors: frangi af. Comput Biol Med. 2021 Aug;135:104605. doi: 10.1016/j.compbiomed.2021.104605. Epub 2021 Jun 23. Comput Biol Med. 2021. PMID: 34175533 Free PMC article. Review.

5

MICaps: Multi-instance capsule network for machine inspection of Munro's microabscess.

Pal A, Chaturvedi A, Chandra A, Chatterjee R, Senapati S, Frangi AF, Garain U. Pal A, et al. Among authors: frangi af. Comput Biol Med. 2022 Jan;140:105071. doi: 10.1016/j.compbiomed.2021.105071. Epub 2021 Nov 25. Comput Biol Med. 2022. PMID: 34864301

6

Discovery of Pre-Treatment FDG PET/CT-Derived Radiomics-Based Models for Predicting Outcome in Diffuse Large B-Cell Lymphoma.

Frood R, Clark M, Burton C, Tsoumpas C, Frangi AF, Gleeson F, Patel C, Scarsbrook AF. Frood R, et al. Among authors: frangi af. Cancers (Basel). 2022 Mar 28;14(7):1711. doi: 10.3390/cancers14071711. Cancers (Basel). 2022. PMID: 35406482 Free PMC article.

7

Utility of pre-treatment FDG PET/CT-derived machine learning models for outcome prediction in classical Hodgkin lymphoma.

Frood R, Clark M, Burton C, Tsoumpas C, Frangi AF, Gleeson F, Patel C, Scarsbrook A. Frood R, et al. Among authors: frangi af. Eur Radiol. 2022 Oct;32(10):7237-7247. doi: 10.1007/s00330-022-09039-0. Epub 2022 Aug 25. Eur Radiol. 2022. PMID: 36006428 Free PMC article.

8

Automatic training and reliability estimation for 3D ASM applied to cardiac MRI segmentation.

Tobon-Gomez C, Sukno FM, Butakoff C, Huguet M, Frangi AF. Tobon-Gomez C, et al. Among authors: frangi af. Phys Med Biol. 2012 Jul 7;57(13):4155-74. doi: 10.1088/0031-9155/57/13/4155. Epub 2012 Jun 8. Phys Med Biol. 2012. PMID: 22683992

9

3D segmentation of annulus fibrosus and nucleus pulposus from T2-weighted magnetic resonance images.

Castro-Mateos I, Pozo JM, Eltes PE, Rio LD, Lazary A, Frangi AF. Castro-Mateos I, et al. Among authors: frangi af. Phys Med Biol. 2014 Dec 21;59(24):7847-64. doi: 10.1088/0031-9155/59/24/7847. Phys Med Biol. 2014. PMID: 25419725

10

Segmentation and Quantification for Angle-Closure Glaucoma Assessment in Anterior Segment OCT.

Fu H, Xu Y, Lin S, Zhang X, Wong DWK, Liu J, Frangi AF, Baskaran M, Aung T. Fu H, et al. Among authors: frangi af. IEEE Trans Med Imaging. 2017 Sep;36(9):1930-1938. doi: 10.1109/TMI.2017.2703147. Epub 2017 May 10. IEEE Trans Med Imaging. 2017. PMID: 28499992 Free article.

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