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Assessing the validity of saliency maps for abnormality localization in
  medical imaging

Assessing the validity of saliency maps for abnormality localization in medical imaging

29 May 2020
N. Arun
N. Gaw
Praveer Singh
Ken Chang
K. Hoebel
J. Patel
M. Gidwani
Jayashree Kalpathy-Cramer
ArXivPDFHTML

Papers citing "Assessing the validity of saliency maps for abnormality localization in medical imaging"

7 / 7 papers shown
Title
XRAI: Better Attributions Through Regions
XRAI: Better Attributions Through Regions
A. Kapishnikov
Tolga Bolukbasi
Fernanda Viégas
Michael Terry
FAtt
XAI
57
212
0
06 Jun 2019
Sanity Checks for Saliency Maps
Sanity Checks for Saliency Maps
Julius Adebayo
Justin Gilmer
M. Muelly
Ian Goodfellow
Moritz Hardt
Been Kim
FAtt
AAML
XAI
129
1,966
0
08 Oct 2018
CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep
  Learning
CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning
Pranav Rajpurkar
Jeremy Irvin
Kaylie Zhu
Brandon Yang
Hershel Mehta
...
Aarti Bagul
C. Langlotz
K. Shpanskaya
M. Lungren
A. Ng
LM&MA
78
2,702
0
14 Nov 2017
SmoothGrad: removing noise by adding noise
SmoothGrad: removing noise by adding noise
D. Smilkov
Nikhil Thorat
Been Kim
F. Viégas
Martin Wattenberg
FAtt
ODL
201
2,221
0
12 Jun 2017
Axiomatic Attribution for Deep Networks
Axiomatic Attribution for Deep Networks
Mukund Sundararajan
Ankur Taly
Qiqi Yan
OOD
FAtt
182
5,986
0
04 Mar 2017
Grad-CAM: Why did you say that?
Grad-CAM: Why did you say that?
Ramprasaath R. Selvaraju
Abhishek Das
Ramakrishna Vedantam
Michael Cogswell
Devi Parikh
Dhruv Batra
FAtt
67
471
0
22 Nov 2016
Deep Inside Convolutional Networks: Visualising Image Classification
  Models and Saliency Maps
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps
Karen Simonyan
Andrea Vedaldi
Andrew Zisserman
FAtt
309
7,292
0
20 Dec 2013
1