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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

27 January 2023
R. Singhal
Mukund Sudarshan
Anish Mahishi
S. Kaushik
L. Ginocchio
A. Tong
H. Chandarana
D. Sodickson
Rajesh Ranganath
S. Chopra
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Papers citing "On the Feasibility of Machine Learning Augmented Magnetic Resonance for Point-of-Care Identification of Disease"

5 / 5 papers shown
Title
Active Sampling for MRI-based Sequential Decision Making
Active Sampling for MRI-based Sequential Decision Making
Yuning Du
Jingshuai Liu
R. Dharmakumar
Sotirios A. Tsaftaris
49
0
0
07 May 2025
The MRI Scanner as a Diagnostic: Image-less Active Sampling
The MRI Scanner as a Diagnostic: Image-less Active Sampling
Yuning Du
R. Dharmakumar
Sotirios A. Tsaftaris
35
2
0
24 Jun 2024
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
FastSHAP: Real-Time Shapley Value Estimation
FastSHAP: Real-Time Shapley Value Estimation
N. Jethani
Mukund Sudarshan
Ian Covert
Su-In Lee
Rajesh Ranganath
TDI
FAtt
67
122
0
15 Jul 2021
Have We Learned to Explain?: How Interpretability Methods Can Learn to
  Encode Predictions in their Interpretations
Have We Learned to Explain?: How Interpretability Methods Can Learn to Encode Predictions in their Interpretations
N. Jethani
Mukund Sudarshan
Yindalon Aphinyanagphongs
Rajesh Ranganath
FAtt
82
70
0
02 Mar 2021
1