Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales

Terms and Conditions

Twitter GitHub LinkedIn Bluesky Youtube

© 2026 ResearchTrend.AI, All rights reserved.

Home
Papers
2005.06368
Cited By

Towards segmentation and spatial alignment of the human embryonic brain
using deep learning for atlas-based registration

Towards segmentation and spatial alignment of the human embryonic brain using deep learning for atlas-based registration

13 May 2020

R. Steegers-Theunissen

ArXiv (abs)PDF HTML

Papers citing "Towards segmentation and spatial alignment of the human embryonic brain using deep learning for atlas-based registration"

3 / 3 papers shown

Multi-Atlas Segmentation and Spatial Alignment of the Human Embryo in
First Trimester 3D Ultrasound

Multi-Atlas Segmentation and Spatial Alignment of the Human Embryo in First Trimester 3D UltrasoundMachine Learning for Biomedical Imaging (MLBI), 2022

R. Steegers-Theunissen

279

4

0

14 Feb 2022

Is Image-to-Image Translation the Panacea for Multimodal Image
Registration? A Comparative Study

Is Image-to-Image Translation the Panacea for Multimodal Image Registration? A Comparative StudyPLoS ONE (PLOS ONE), 2021

Johan Öfverstedt

Natavsa Sladoje

276

25

0

30 Mar 2021

Longitudinal diffusion MRI analysis using Segis-Net: a single-step
deep-learning framework for simultaneous segmentation and registration

Longitudinal diffusion MRI analysis using Segis-Net: a single-step deep-learning framework for simultaneous segmentation and registrationNeuroImage (NeuroImage), 2020

Meike W. Vernooij

263

23

0

28 Dec 2020

Page 1 of 1