Sznitman R - Search Results

1

Artificial intelligence for reducing the radiation burden of medical imaging for the diagnosis of coronavirus disease.

Hu J, Mougiakakou S, Xue S, Afshar-Oromieh A, Hautz W, Christe A, Sznitman R, Rominger A, Ebner L, Shi K. Hu J, et al. Among authors: sznitman r. Eur Phys J Plus. 2023;138(5):391. doi: 10.1140/epjp/s13360-023-03745-4. Epub 2023 May 8. Eur Phys J Plus. 2023. PMID: 37192839 Free PMC article. Review.

2

Convolutional neural network for automated segmentation of the liver and its vessels on non-contrast T1 vibe Dixon acquisitions.

Zbinden L, Catucci D, Suter Y, Berzigotti A, Ebner L, Christe A, Obmann VC, Sznitman R, Huber AT. Zbinden L, et al. Among authors: sznitman r. Sci Rep. 2022 Dec 21;12(1):22059. doi: 10.1038/s41598-022-26328-2. Sci Rep. 2022. PMID: 36543852 Free PMC article.

3

Automated liver segmental volume ratio quantification on non-contrast T1-Vibe Dixon liver MRI using deep learning.

Zbinden L, Catucci D, Suter Y, Hulbert L, Berzigotti A, Brönnimann M, Ebner L, Christe A, Obmann VC, Sznitman R, Huber AT. Zbinden L, et al. Among authors: sznitman r. Eur J Radiol. 2023 Oct;167:111047. doi: 10.1016/j.ejrad.2023.111047. Epub 2023 Aug 14. Eur J Radiol. 2023. PMID: 37690351 Free article.

4

BASELINE SPECTRAL DOMAIN OPTICAL COHERENCE TOMOGRAPHIC RETINAL LAYER FEATURES IDENTIFIED BY ARTIFICIAL INTELLIGENCE PREDICT THE COURSE OF CENTRAL SEROUS CHORIORETINOPATHY.

Ferro Desideri L, Anguita R, Berger LE, Feenstra HMA, Scandella D, Sznitman R, Boon CJF, van Dijk EHC, Zinkernagel MS. Ferro Desideri L, et al. Among authors: sznitman r. Retina. 2024 Feb 1;44(2):316-323. doi: 10.1097/IAE.0000000000003965. Retina. 2024. PMID: 37883530

5

Deep Learning-Based Automated Detection of Retinal Breaks and Detachments on Fundus Photography.

Christ M, Habra O, Monnin K, Vallotton K, Sznitman R, Wolf S, Zinkernagel M, Márquez Neila P. Christ M, et al. Among authors: sznitman r. Transl Vis Sci Technol. 2024 Apr 2;13(4):1. doi: 10.1167/tvst.13.4.1. Transl Vis Sci Technol. 2024. PMID: 38564203 Free PMC article.

6

A machine-learning model for reducing misdiagnosis in heparin-induced thrombocytopenia: A prospective, multicenter, observational study.

Nilius H, Cuker A, Haug S, Nakas C, Studt JD, Tsakiris DA, Greinacher A, Mendez A, Schmidt A, Wuillemin WA, Gerber B, Kremer Hovinga JA, Vishnu P, Graf L, Kashev A, Sznitman R, Bakchoul T, Nagler M. Nilius H, et al. Among authors: sznitman r. EClinicalMedicine. 2022 Nov 24;55:101745. doi: 10.1016/j.eclinm.2022.101745. eCollection 2023 Jan. EClinicalMedicine. 2022. PMID: 36457646 Free PMC article.

7

DeepPyramid+: medical image segmentation using Pyramid View Fusion and Deformable Pyramid Reception.

Ghamsarian N, Wolf S, Zinkernagel M, Schoeffmann K, Sznitman R. Ghamsarian N, et al. Among authors: sznitman r. Int J Comput Assist Radiol Surg. 2024 Jan 8. doi: 10.1007/s11548-023-03046-2. Online ahead of print. Int J Comput Assist Radiol Surg. 2024. PMID: 38189905 Free article.

8

Müller matrix polarimetry for pancreatic tissue characterization.

Sampaio P, Lopez-Antuña M, Storni F, Wicht J, Sökeland G, Wartenberg M, Márquez-Neila P, Candinas D, Demory BO, Perren A, Sznitman R. Sampaio P, et al. Among authors: sznitman r. Sci Rep. 2023 Sep 29;13(1):16417. doi: 10.1038/s41598-023-43195-7. Sci Rep. 2023. PMID: 37775538 Free PMC article.

9

A reinforcement learning approach for VQA validation: An application to diabetic macular edema grading.

Fountoukidou T, Sznitman R. Fountoukidou T, et al. Among authors: sznitman r. Med Image Anal. 2023 Jul;87:102822. doi: 10.1016/j.media.2023.102822. Epub 2023 Apr 26. Med Image Anal. 2023. PMID: 37182321

10

Learning how to robustly estimate camera pose in endoscopic videos.

Hayoz M, Hahne C, Gallardo M, Candinas D, Kurmann T, Allan M, Sznitman R. Hayoz M, et al. Among authors: sznitman r. Int J Comput Assist Radiol Surg. 2023 Jul;18(7):1185-1192. doi: 10.1007/s11548-023-02919-w. Epub 2023 May 15. Int J Comput Assist Radiol Surg. 2023. PMID: 37184768 Free PMC article.

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