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PEPSI: Pathology-Enhanced Pulse-Sequence-Invariant Representations for
  Brain MRI

PEPSI: Pathology-Enhanced Pulse-Sequence-Invariant Representations for Brain MRI

10 March 2024
Peirong Liu
Oula Puonti
Annabel Sorby-Adams
W. T. Kimberly
Juan Eugenio Iglesias
ArXivPDFHTML

Papers citing "PEPSI: Pathology-Enhanced Pulse-Sequence-Invariant Representations for Brain MRI"

4 / 4 papers shown
Title
Unified 3D MRI Representations via Sequence-Invariant Contrastive Learning
Unified 3D MRI Representations via Sequence-Invariant Contrastive Learning
Liam Chalcroft
Jenny Crinion
Cathy J. Price
John Ashburner
221
0
0
21 Jan 2025
Maximizing domain generalization in fetal brain tissue segmentation: the
  role of synthetic data generation, intensity clustering and real image
  fine-tuning
Maximizing domain generalization in fetal brain tissue segmentation: the role of synthetic data generation, intensity clustering and real image fine-tuning
Vladyslav Zalevskyi
Thomas Sanchez
Margaux Roulet
Hélène Lajous
Jordina Aviles Verdera
Jana Hutter
Hamza Kebiri
Meritxell Bach Cuadra
OOD
48
1
0
11 Nov 2024
MS-Glance: Bio-Insipred Non-semantic Context Vectors and their
  Applications in Supervising Image Reconstruction
MS-Glance: Bio-Insipred Non-semantic Context Vectors and their Applications in Supervising Image Reconstruction
Ziqi Gao
Wendi Yang
Yujia Li
Lei Xing
S. Kevin Zhou
45
0
0
31 Oct 2024
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
402
75,972
0
18 May 2015
1