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3D Reconstruction in Canonical Co-ordinate Space from Arbitrarily
  Oriented 2D Images

3D Reconstruction in Canonical Co-ordinate Space from Arbitrarily Oriented 2D Images

19 September 2017
Benjamin Hou
Bishesh Khanal
A. Alansary
Jingyu Sun
A. Davidson
M. Rutherford
Joseph V. Hajnal
Daniel Rueckert
Ben Glocker
Bernhard Kainz
ArXivPDFHTML

Papers citing "3D Reconstruction in Canonical Co-ordinate Space from Arbitrarily Oriented 2D Images"

9 / 9 papers shown
Title
Meta-learning Slice-to-Volume Reconstruction in Fetal Brain MRI using Implicit Neural Representations
Meta-learning Slice-to-Volume Reconstruction in Fetal Brain MRI using Implicit Neural Representations
Maik Dannecker
Thomas Sanchez
Meritxell Bach Cuadra
Özgün Turgut
Anthony N. Price
Lucilio Cordero-Grande
V. Kyriakopoulou
Joseph V. Hajnal
Daniel Rueckert
24
0
0
14 May 2025
AVP-AP: Self-supervised Automatic View Positioning in 3D cardiac CT via Atlas Prompting
AVP-AP: Self-supervised Automatic View Positioning in 3D cardiac CT via Atlas Prompting
Xiaolin Fan
Yixuan Wang
Y. Zhang
Mingkun Bao
Bosen Jia
Dong Lu
Yifan Gu
Jian Cheng
Haogang Zhu
40
0
0
08 Apr 2025
A self-attention model for robust rigid slice-to-volume registration of
  functional MRI
A self-attention model for robust rigid slice-to-volume registration of functional MRI
Samah Khawaled
Simon K. Warfield
Moti Freiman
48
1
0
06 Apr 2024
A Literature Review on Fetus Brain Motion Correction in MRI
A Literature Review on Fetus Brain Motion Correction in MRI
Haoran Zhang
Yun Wang
13
0
0
30 Jan 2024
Rapid head-pose detection for automated slice prescription of
  fetal-brain MRI
Rapid head-pose detection for automated slice prescription of fetal-brain MRI
Malte Hoffmann
Esra Abaci Turk
B. Gagoski
L. Morgan
P. Wighton
...
M. Reuter
E. Adalsteinsson
P. E. Grant
L. Wald
A. Kouwe
18
13
0
08 Oct 2021
Deep Predictive Motion Tracking in Magnetic Resonance Imaging:
  Application to Fetal Imaging
Deep Predictive Motion Tracking in Magnetic Resonance Imaging: Application to Fetal Imaging
Ayush Singh
S. Salehi
Ali Gholipour
MedIm
21
34
0
25 Sep 2019
Going Deep in Medical Image Analysis: Concepts, Methods, Challenges and
  Future Directions
Going Deep in Medical Image Analysis: Concepts, Methods, Challenges and Future Directions
F. Altaf
Syed Mohammed Shamsul Islam
Naveed Akhtar
N. Janjua
OOD
29
200
0
15 Feb 2019
Bayesian Convolutional Neural Networks with Bernoulli Approximate
  Variational Inference
Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference
Y. Gal
Zoubin Ghahramani
UQCV
BDL
205
745
0
06 Jun 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
287
9,156
0
06 Jun 2015
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