ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2102.10484
  4. Cited By
CheXseg: Combining Expert Annotations with DNN-generated Saliency Maps
  for X-ray Segmentation

CheXseg: Combining Expert Annotations with DNN-generated Saliency Maps for X-ray Segmentation

21 February 2021
Soham Gadgil
Mark Endo
Emily Wen
A. Ng
Pranav Rajpurkar
ArXivPDFHTML

Papers citing "CheXseg: Combining Expert Annotations with DNN-generated Saliency Maps for X-ray Segmentation"

19 / 19 papers shown
Title
Assessing the (Un)Trustworthiness of Saliency Maps for Localizing
  Abnormalities in Medical Imaging
Assessing the (Un)Trustworthiness of Saliency Maps for Localizing Abnormalities in Medical Imaging
N. Arun
N. Gaw
P. Singh
Ken Chang
M. Aggarwal
...
J. Patel
M. Gidwani
Julius Adebayo
M. D. Li
Jayashree Kalpathy-Cramer
FAtt
59
110
0
06 Aug 2020
Weakly-Supervised Segmentation for Disease Localization in Chest X-Ray
  Images
Weakly-Supervised Segmentation for Disease Localization in Chest X-Ray Images
Ostap Viniavskyi
Mariia Dobko
Oles Dobosevych
42
26
0
01 Jul 2020
Learning to segment images with classification labels
Learning to segment images with classification labels
Ozan Ciga
Anne L. Martel
VLM
40
25
0
28 Dec 2019
A Comprehensive Analysis of Weakly-Supervised Semantic Segmentation in
  Different Image Domains
A Comprehensive Analysis of Weakly-Supervised Semantic Segmentation in Different Image Domains
Lyndon Chan
Mahdi S. Hosseini
Konstantinos N. Plataniotis
46
100
0
24 Dec 2019
Momentum Contrast for Unsupervised Visual Representation Learning
Momentum Contrast for Unsupervised Visual Representation Learning
Kaiming He
Haoqi Fan
Yuxin Wu
Saining Xie
Ross B. Girshick
SSL
196
12,073
0
13 Nov 2019
Self-training with Noisy Student improves ImageNet classification
Self-training with Noisy Student improves ImageNet classification
Qizhe Xie
Minh-Thang Luong
Eduard H. Hovy
Quoc V. Le
NoLa
304
2,386
0
11 Nov 2019
Saliency Guided Self-attention Network for Weakly and Semi-supervised
  Semantic Segmentation
Saliency Guided Self-attention Network for Weakly and Semi-supervised Semantic Segmentation
Qi Yao
Xiaojin Gong
50
75
0
12 Oct 2019
Testing the robustness of attribution methods for convolutional neural
  networks in MRI-based Alzheimer's disease classification
Testing the robustness of attribution methods for convolutional neural networks in MRI-based Alzheimer's disease classification
Fabian Eitel
K. Ritter
OOD
FAtt
41
74
0
19 Sep 2019
Deep neural network or dermatologist?
Deep neural network or dermatologist?
Kyle Young
Gareth Booth
B. Simpson
R. Dutton
Sally Shrapnel
MedIm
43
69
0
19 Aug 2019
Weakly Supervised Learning of Instance Segmentation with Inter-pixel
  Relations
Weakly Supervised Learning of Instance Segmentation with Inter-pixel Relations
Jiwoon Ahn
Sunghyun Cho
Suha Kwak
ISeg
SSeg
142
543
0
10 Apr 2019
CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and
  Expert Comparison
CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison
Jeremy Irvin
Pranav Rajpurkar
M. Ko
Yifan Yu
Silviana Ciurea-Ilcus
...
D. Larson
C. Langlotz
Bhavik Patel
M. Lungren
A. Ng
112
2,594
0
21 Jan 2019
Learning Pixel-level Semantic Affinity with Image-level Supervision for
  Weakly Supervised Semantic Segmentation
Learning Pixel-level Semantic Affinity with Image-level Supervision for Weakly Supervised Semantic Segmentation
Jiwoon Ahn
Suha Kwak
282
743
0
28 Mar 2018
Encoder-Decoder with Atrous Separable Convolution for Semantic Image
  Segmentation
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
Liang-Chieh Chen
Yukun Zhu
George Papandreou
Florian Schroff
Hartwig Adam
SSeg
430
13,121
0
07 Feb 2018
Grad-CAM++: Improved Visual Explanations for Deep Convolutional Networks
Grad-CAM++: Improved Visual Explanations for Deep Convolutional Networks
Aditya Chattopadhyay
Anirban Sarkar
Prantik Howlader
V. Balasubramanian
FAtt
106
2,294
0
30 Oct 2017
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based
  Localization
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
Ramprasaath R. Selvaraju
Michael Cogswell
Abhishek Das
Ramakrishna Vedantam
Devi Parikh
Dhruv Batra
FAtt
294
20,003
0
07 Oct 2016
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN
3DV
766
36,794
0
25 Aug 2016
Seed, Expand and Constrain: Three Principles for Weakly-Supervised Image
  Segmentation
Seed, Expand and Constrain: Three Principles for Weakly-Supervised Image Segmentation
Alexander Kolesnikov
Christoph H. Lampert
SSeg
50
746
0
19 Mar 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
193,878
0
10 Dec 2015
Distilling the Knowledge in a Neural Network
Distilling the Knowledge in a Neural Network
Geoffrey E. Hinton
Oriol Vinyals
J. Dean
FedML
344
19,634
0
09 Mar 2015
1