From post

Normative modeling using multimodal variational autoencoders to identify abnormal brain volume deviations in Alzheimer's disease.

, , и . Medical Imaging: Computer-Aided Diagnosis, том 12465 из SPIE Proceedings, SPIE, (2023)

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.

 

Другие публикации лиц с тем же именем

HYDRA: Revealing heterogeneity of imaging and genetic patterns through a multiple max-margin discriminative analysis framework., , и . NeuroImage, (2017)Generative Discriminative Models for Multivariate Inference and Statistical Mapping in Medical Imaging., , , и . MICCAI (3), том 11072 из Lecture Notes in Computer Science, стр. 540-548. Springer, (2018)Non-invasive classification of IDH mutation status of gliomas from multi-modal MRI using a 3D convolutional neural network., , , , и . Medical Imaging: Computer-Aided Diagnosis, том 12465 из SPIE Proceedings, SPIE, (2023)Abdominal CT pancreas segmentation using multi-scale convolution with aggregated transformations., , и . Medical Imaging: Computer-Aided Diagnosis, том 12465 из SPIE Proceedings, SPIE, (2023)A kernel-based graphical model for diffusion tensor registration., , , , , и . ISBI, стр. 524-527. IEEE, (2010)TimeMIL: Advancing Multivariate Time Series Classification via a Time-aware Multiple Instance Learning., , , , , , , и . CoRR, (2024)A Discrete MRF Framework for Integrated Multi-Atlas Registration and Segmentation., , , и . Int. J. Comput. Vis., 121 (1): 169-181 (2017)MIDAS: Regionally linear multivariate discriminative statistical mapping., , и . NeuroImage, (2018)Atlas-Based Deformable Mutual Population Segmentation., , , и . ISBI, стр. 5-8. IEEE, (2009)BrainTumorNet: multi-task learning for joint segmentation of high-grade glioma and brain metastases from MR images., , , , , , и . Medical Imaging: Image Processing, том 11596 из SPIE Proceedings, SPIE, (2021)