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Using Cyclegans for Effectively Reducing Image Variability Across OCT Devices and Improving Retinal Fluid Segmentation.

, , , , , , , и . ISBI, стр. 605-609. IEEE, (2019)

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Thor Waldstein

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Другие публикации лиц с тем же именем

Unsupervised Identification of Disease Marker Candidates in Retinal OCT Imaging Data., , , , , , , , и . CoRR, (2018)Spatio-Temporal Signatures to Predict Retinal Disease Recurrence., , , , , , , и . IPMI, том 9123 из Lecture Notes in Computer Science, стр. 152-163. Springer, (2015)U2-Net: A Bayesian U-Net Model With Epistemic Uncertainty Feedback For Photoreceptor Layer Segmentation In Pathological OCT Scans., , , , , , , и . ISBI, стр. 1441-1445. IEEE, (2019)Exploiting Epistemic Uncertainty of Anatomy Segmentation for Anomaly Detection in Retinal OCT., , , , , , , и . CoRR, (2019)Exploiting Epistemic Uncertainty of Anatomy Segmentation for Anomaly Detection in Retinal OCT., , , , , , , и . IEEE Trans. Med. Imaging, 39 (1): 87-98 (2020)Improve synthetic retinal OCT images with present of pathologies and textural information., , , , , , , и . Medical Imaging: Image Processing, том 9784 из SPIE Proceedings, стр. 97843V. SPIE, (2016)Using Cyclegans for Effectively Reducing Image Variability Across OCT Devices and Improving Retinal Fluid Segmentation., , , , , , , и . ISBI, стр. 605-609. IEEE, (2019)Identifying and Categorizing Anomalies in Retinal Imaging Data., , , , , , , и . CoRR, (2016)Geodesic denoising for optical coherence tomography images., , , , , , , и . Medical Imaging: Image Processing, том 9784 из SPIE Proceedings, стр. 97840K. SPIE, (2016)Automated vessel shadow segmentation of fovea-centered spectral-domain images from multiple OCT devices., , , , и . Medical Imaging: Image Processing, том 9034 из SPIE Proceedings, стр. 903403. SPIE, (2014)