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Model-Based and Data-Driven Strategies in Medical Image Computing

Model-Based and Data-Driven Strategies in Medical Image Computing

23 September 2019
Daniel Rueckert
J. Schnabel
    OOD
    MedIm
    AI4CE
ArXivPDFHTML

Papers citing "Model-Based and Data-Driven Strategies in Medical Image Computing"

16 / 16 papers shown
Title
Improving Instance Optimization in Deformable Image Registration with
  Gradient Projection
Improving Instance Optimization in Deformable Image Registration with Gradient Projection
Y. Zhang
Yidong Zhao
Qian Tao
26
0
0
21 Oct 2024
Recurrent Inference Machine for Medical Image Registration
Recurrent Inference Machine for Medical Image Registration
Yi Zhang
Yidong Zhao
Hui Xue
Peter Kellman
Stefan Klein
Qian Tao
OOD
26
0
0
19 Jun 2024
Decoder-Only Image Registration
Decoder-Only Image Registration
Xi Jia
Wenqi Lu
Xinxing Cheng
Jinming Duan
MedIm
3DV
29
0
0
05 Feb 2024
DeepArt: A Benchmark to Advance Fidelity Research in AI-Generated
  Content
DeepArt: A Benchmark to Advance Fidelity Research in AI-Generated Content
Wentao Wang
Xuanyao Huang
Tianyang Wang
S. K. Roy
EGVM
37
0
0
16 Dec 2023
SoK: Memorisation in machine learning
SoK: Memorisation in machine learning
Dmitrii Usynin
Moritz Knolle
Georgios Kaissis
17
1
0
06 Nov 2023
End-To-End Prediction of Knee Osteoarthritis Progression With
  Multi-Modal Transformers
End-To-End Prediction of Knee Osteoarthritis Progression With Multi-Modal Transformers
E. Panfilov
S. Saarakkala
M. Nieminen
A. Tiulpin
20
1
0
03 Jul 2023
OpenMedIA: Open-Source Medical Image Analysis Toolbox and Benchmark
  under Heterogeneous AI Computing Platforms
OpenMedIA: Open-Source Medical Image Analysis Toolbox and Benchmark under Heterogeneous AI Computing Platforms
Jiafan Zhuang
Xiansong Huang
Yang Yang
Jiancong Chen
Yue Yu
Wei-Nan Gao
Ge Li
Jie Chen
Tong Zhang
VLM
12
5
0
11 Aug 2022
Generative Myocardial Motion Tracking via Latent Space Exploration with
  Biomechanics-informed Prior
Generative Myocardial Motion Tracking via Latent Space Exploration with Biomechanics-informed Prior
C. Qin
Shuo Wang
C. L. P. Chen
Wenjia Bai
Daniel Rueckert
MedIm
22
19
0
08 Jun 2022
Automatic detection of glaucoma via fundus imaging and artificial
  intelligence: A review
Automatic detection of glaucoma via fundus imaging and artificial intelligence: A review
Lauren Coan
Bryan M. Williams
V. Adithya
S. Upadhyaya
S. Czanner
R. Venkatesh
C. Willoughby
Kavitha Srinivasan
G. Czanner
19
64
0
12 Apr 2022
Dynamic multi feature-class Gaussian process models
Dynamic multi feature-class Gaussian process models
Jean-Rassaire Fouefack
Bhushan S Borotikar
M. Lüthi
T. Douglas
Valérie Burdin
Tinashe Ernest Mutsvangwa
MedIm
9
0
0
08 Dec 2021
Bone Surface Reconstruction and Clinical Features Estimation from Sparse
  Landmarks and Statistical Shape Models: A feasibility study on the femur
Bone Surface Reconstruction and Clinical Features Estimation from Sparse Landmarks and Statistical Shape Models: A feasibility study on the femur
A. Asvadi
G. Dardenne
J. Troccaz
Valérie Burdin
13
7
0
07 Jul 2021
Learning a Model-Driven Variational Network for Deformable Image
  Registration
Learning a Model-Driven Variational Network for Deformable Image Registration
Xi Jia
A. Thorley
Wei Chen
Huaqi Qiu
Linlin Shen
...
A. Leonardis
A. de Marvao
D. O’Regan
Daniel Rueckert
Jinming Duan
MedIm
26
29
0
25 May 2021
A Geometry-Informed Deep Learning Framework for Ultra-Sparse 3D
  Tomographic Image Reconstruction
A Geometry-Informed Deep Learning Framework for Ultra-Sparse 3D Tomographic Image Reconstruction
Liyue Shen
Wei Zhao
D. Capaldi
John M. Pauly
Lei Xing
18
28
0
25 May 2021
Unified Focal loss: Generalising Dice and cross entropy-based losses to
  handle class imbalanced medical image segmentation
Unified Focal loss: Generalising Dice and cross entropy-based losses to handle class imbalanced medical image segmentation
Michael Yeung
Evis Sala
Carola-Bibiane Schönlieb
L. Rundo
30
393
0
08 Feb 2021
A review of deep learning in medical imaging: Imaging traits, technology
  trends, case studies with progress highlights, and future promises
A review of deep learning in medical imaging: Imaging traits, technology trends, case studies with progress highlights, and future promises
S. Kevin Zhou
H. Greenspan
Christos Davatzikos
James S. Duncan
Bram van Ginneken
A. Madabhushi
Jerry L. Prince
Daniel Rueckert
Ronald M. Summers
40
624
0
02 Aug 2020
Joint Learning of Motion Estimation and Segmentation for Cardiac MR
  Image Sequences
Joint Learning of Motion Estimation and Segmentation for Cardiac MR Image Sequences
C. Qin
Wenjia Bai
Jo Schlemper
S. Petersen
Stefan K. Piechnik
S. Neubauer
Daniel Rueckert
MedIm
51
156
0
11 Jun 2018
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