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fastMRI+: Clinical Pathology Annotations for Knee and Brain Fully
  Sampled Multi-Coil MRI Data

fastMRI+: Clinical Pathology Annotations for Knee and Brain Fully Sampled Multi-Coil MRI Data

8 September 2021
Ruiyang Zhao
Burhaneddin Yaman
Yuxin Zhang
Russell Stewart
Austin X. Dixon
Florian Knoll
Zhengnan Huang
Yvonne W. Lui
M. Hansen
M. Lungren
ArXivPDFHTML

Papers citing "fastMRI+: Clinical Pathology Annotations for Knee and Brain Fully Sampled Multi-Coil MRI Data"

9 / 9 papers shown
Title
Adaptive Sampling of k-Space in Magnetic Resonance for Rapid Pathology
  Prediction
Adaptive Sampling of k-Space in Magnetic Resonance for Rapid Pathology Prediction
Chen-Yu Yen
Raghav Singhal
Umang Sharma
Rajesh Ranganath
S. Chopra
Lerrel Pinto
32
1
0
06 Jun 2024
Constrained Probabilistic Mask Learning for Task-specific Undersampled
  MRI Reconstruction
Constrained Probabilistic Mask Learning for Task-specific Undersampled MRI Reconstruction
Tobias Weber
Michael Ingrisch
Bernd Bischl
David Rügamer
27
2
0
25 May 2023
On the Feasibility of Machine Learning Augmented Magnetic Resonance for
  Point-of-Care Identification of Disease
On the Feasibility of Machine Learning Augmented Magnetic Resonance for Point-of-Care Identification of Disease
R. Singhal
Mukund Sudarshan
Anish Mahishi
S. Kaushik
L. Ginocchio
A. Tong
H. Chandarana
D. Sodickson
Rajesh Ranganath
S. Chopra
25
5
0
27 Jan 2023
A Densely Interconnected Network for Deep Learning Accelerated MRI
A Densely Interconnected Network for Deep Learning Accelerated MRI
Jon André Ottesen
M. Caan
I. Groote
A. Bjørnerud
47
9
0
05 Jul 2022
Data and Physics Driven Learning Models for Fast MRI -- Fundamentals and
  Methodologies from CNN, GAN to Attention and Transformers
Data and Physics Driven Learning Models for Fast MRI -- Fundamentals and Methodologies from CNN, GAN to Attention and Transformers
Jiahao Huang
Yingying Fang
Yang Nan
Huanjun Wu
Yinzhe Wu
...
Zidong Wang
Pietro Lio'
Daniel Rueckert
Yonina C. Eldar
Guang Yang
OOD
MedIm
31
3
0
01 Apr 2022
SKM-TEA: A Dataset for Accelerated MRI Reconstruction with Dense Image
  Labels for Quantitative Clinical Evaluation
SKM-TEA: A Dataset for Accelerated MRI Reconstruction with Dense Image Labels for Quantitative Clinical Evaluation
Arjun D Desai
Andrew M Schmidt
E. Rubin
Christopher M. Sandino
Marianne S. Black
...
R. Boutin
Christopher Ré
G. Gold
B. Hargreaves
Akshay S. Chaudhari
17
64
0
14 Mar 2022
Validation and Generalizability of Self-Supervised Image Reconstruction
  Methods for Undersampled MRI
Validation and Generalizability of Self-Supervised Image Reconstruction Methods for Undersampled MRI
Thomas Yu
T. Hilbert
G. Piredda
Arun A. Joseph
G. Bonanno
...
P. Omoumi
Meritxell Bach Cuadra
Erick Jorge Canales-Rodríguez
Thomas Kober
Jean-Philippe Thiran
15
5
0
29 Jan 2022
Score-based diffusion models for accelerated MRI
Score-based diffusion models for accelerated MRI
Hyungjin Chung
Jong Chul Ye
DiffM
MedIm
37
399
0
08 Oct 2021
End-to-End AI-based MRI Reconstruction and Lesion Detection Pipeline for
  Evaluation of Deep Learning Image Reconstruction
End-to-End AI-based MRI Reconstruction and Lesion Detection Pipeline for Evaluation of Deep Learning Image Reconstruction
Ruiyang Zhao
Yuxin Zhang
Burhaneddin Yaman
M. Lungren
M. Hansen
MedIm
21
10
0
23 Sep 2021
1