( en | de | ru )

 

Disambiguation

From post

копироватьудалитьдобавить публикацию в буфер
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)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed.

Katharina Klimscha

Sophie Scaruppe

Sophie Schmid

Sophie Rausch

Sophie Oesau

 

Другие публикации лиц с тем же именем

Identifying and Categorizing Anomalies in Retinal Imaging Data., , , , , , , и . CoRR, (2016)Correction to: On Orthogonal Projections for Dimension Reduction and Applications in Augmented Target Loss Functions for Learning Problems., , , , , , , , и . J. Math. Imaging Vis., 62 (3): 395 (2020)Unsupervised Identification of Disease Marker Candidates in Retinal OCT Imaging Data., , , , , , , , и . IEEE Trans. Med. Imaging, 38 (4): 1037-1047 (2019)Exploiting Epistemic Uncertainty of Anatomy Segmentation for Anomaly Detection in Retinal OCT., , , , , , , и . IEEE Trans. Med. Imaging, 39 (1): 87-98 (2020)Exploiting Epistemic Uncertainty of Anatomy Segmentation for Anomaly Detection in Retinal OCT., , , , , , , и . CoRR, (2019)Unsupervised Identification of Disease Marker Candidates in Retinal OCT Imaging Data., , , , , , , , и . CoRR, (2018)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)