( en | de | ru )

 

Disambiguation

From post

копироватьудалитьдобавить публикацию в буфер
Unsupervised Brain Anomaly Detection and Segmentation with Transformers.

, , , , , , и . MIDL, том 143 из Proceedings of Machine Learning Research, стр. 596-617. PMLR, (2021)

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.

Petru Valicov

Berce Petru

Petru Ilea

Manfred Petruschke

Edwin Petruschke

 

Другие публикации лиц с тем же именем

ICAM: Interpretable Classification via Disentangled Representations and Feature Attribution Mapping., , , , , и . NeurIPS, (2020)Unsupervised Heteromodal Physics-Informed Representation of MRI Data: Tackling Data Harmonisation, Imputation and Domain Shift., , , , , и . SASHIMI@MICCAI, том 14288 из Lecture Notes in Computer Science, стр. 53-63. Springer, (2023)Generating multi-pathological and multi-modal images and labels for brain MRI., , , , , , и . Medical Image Anal., (2024)Cross Attention Transformers for Multi-modal Unsupervised Whole-Body PET Anomaly Detection., , , , , , и . DGM4MICCAI@MICCAI, том 13609 из Lecture Notes in Computer Science, стр. 14-23. Springer, (2022)Self-Supervised Anomaly Detection from Anomalous Training Data via Iterative Latent Token Masking., , , , , , , , и . ICCV (Workshops), стр. 2394-2402. IEEE, (2023)ICAM-Reg: Interpretable Classification and Regression With Feature Attribution for Mapping Neurological Phenotypes in Individual Scans., , , , , , , , , и 1 other автор(ы). IEEE Trans. Medical Imaging, 42 (4): 959-970 (апреля 2023)Unsupervised Brain Anomaly Detection and Segmentation with Transformers., , , , , , и . MIDL, том 143 из Proceedings of Machine Learning Research, стр. 596-617. PMLR, (2021)Transformer-based out-of-distribution detection for clinically safe segmentation., , , , , , , , , и 2 other автор(ы). MIDL, том 172 из Proceedings of Machine Learning Research, стр. 457-476. PMLR, (2022)Denoising diffusion models for out-of-distribution detection., , , , , и . CVPR Workshops, стр. 2948-2957. IEEE, (2023)Unsupervised 3D Out-of-Distribution Detection with Latent Diffusion Models., , , , , , , , , и 1 other автор(ы). MICCAI (1), том 14220 из Lecture Notes in Computer Science, стр. 446-456. Springer, (2023)