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Spatio-temporal Learning from Longitudinal Data for Multiple Sclerosis Lesion Segmentation

7 April 2020

Nassir Navab

Papers citing "Spatio-temporal Learning from Longitudinal Data for Multiple Sclerosis Lesion Segmentation"

10 / 10 papers shown

SegHeD+: Segmentation of Heterogeneous Data for Multiple Sclerosis Lesions with Anatomical Constraints and Lesion-aware Augmentation

Berke Doga Basaran

Paul M. Matthews

Wenjia Bai

323

14 Dec 2024

SegHeD: Segmentation of Heterogeneous Data for Multiple Sclerosis Lesions with Anatomical Constraints

Berke Doga Basaran

Xinru Zhang

Paul M. Matthews

Wenjia Bai

192

02 Oct 2024

Longitudinal Segmentation of MS Lesions via Temporal Difference Weighting

...

Klaus Maier-Hein

236

20 Sep 2024

An Open-Source Tool for Longitudinal Whole-Brain and White Matter Lesion Segmentation

224

10 Jul 2022

Longitudinal Self-Supervision for COVID-19 Pathology Quantification

Nassir Navab

195

21 Mar 2022

Interactive Segmentation for COVID-19 Infection Quantification on Longitudinal CT scans

Nassir Navab

275

03 Oct 2021

Self-supervised Lesion Change Detection and Localisation in Longitudinal Multiple Sclerosis Brain ImagingInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2021

156

02 Jun 2021

Longitudinal Quantitative Assessment of COVID-19 Infection Progression from Chest CTsInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2021

Nassir Navab

266

12 Mar 2021

Multiple Sclerosis Lesion Segmentation -- A Survey of Supervised CNN-Based Methods

H. Zhang

I. Oguz

308

12 Dec 2020

DeepNAT: Deep Convolutional Neural Network for Segmenting Neuroanatomy

660

343

27 Feb 2017