From post

Assessing the Impact of Blood Pressure on Cardiac Function Using Interpretable Biomarkers and Variational Autoencoders.

, , , , , , и . STACOM@MICCAI, том 12009 из Lecture Notes in Computer Science, стр. 22-30. Springer, (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.

 

Другие публикации лиц с тем же именем

Computational Anatomy for Multi-Organ Analysis in Medical Imaging: A Review., , , , , , и . CoRR, (2018)Automated Quality Control in Image Segmentation: Application to the UK Biobank Cardiac MR Imaging Study., , , , , , , , , и 12 other автор(ы). CoRR, (2019)A flexible graphical model for multi-modal parcellation of the cortex., , , , , и . NeuroImage, (2017)FPGA-based computation of free-form deformations., , и . FPT, стр. 407-410. IEEE, (2002)Image guidance for robotic minimally invasive coronary artery bypass., , , , , , , , , и . Comput. Medical Imaging Graph., 34 (1): 61-68 (2010)Multi-atlas segmentation with augmented features for cardiac MR images., , , и . Medical Image Anal., 19 (1): 98-109 (2015)Autoadaptive motion modelling for MR-based respiratory motion estimation., , , , и . Medical Image Anal., (2017)Deep Learning for Cardiac Image Segmentation: A Review, , , , , , и . Front. Cardiovasc. Med., (марта 2020)Better Together: Data Harmonization and Cross-Study Analysis of Abdominal MRI Data From UK Biobank and the German National Cohort, , , , , , , , , и 15 other автор(ы). Investigative Radiology, (2022)Cardiac segmentation on late gadolinium enhancement MRI: A benchmark study from multi-sequence cardiac MR segmentation challenge., , , , , , , , , и 13 other автор(ы). Medical Image Anal., (2022)