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Anomaly Detection on X-Rays Using Self-Supervised Aggregation Learning

Anomaly Detection on X-Rays Using Self-Supervised Aggregation Learning

19 October 2020
Behzad Bozorgtabar
Dwarikanath Mahapatra
Guillaume Vray
Jean-Philippe Thiran
ArXiv (abs)PDFHTML

Papers citing "Anomaly Detection on X-Rays Using Self-Supervised Aggregation Learning"

7 / 7 papers shown
Title
Cyclic Generative Adversarial Networks With Congruent Image-Report
  Generation For Explainable Medical Image Analysis
Cyclic Generative Adversarial Networks With Congruent Image-Report Generation For Explainable Medical Image Analysis
Dwarikanath Mahapatra
GANMedIm
63
0
0
16 Nov 2022
Improved Super Resolution of MR Images Using CNNs and Vision
  Transformers
Improved Super Resolution of MR Images Using CNNs and Vision Transformers
Dwarikanath Mahapatra
SupRViTMedIm
54
5
0
24 Jul 2022
Interpretable Saliency Maps And Self-Supervised Learning For Generalized
  Zero Shot Medical Image Classification
Interpretable Saliency Maps And Self-Supervised Learning For Generalized Zero Shot Medical Image Classification
Dwarikanath Mahapatra
MedIm
62
2
0
04 Apr 2022
Pediatric Otoscopy Video Screening with Shift Contrastive Anomaly
  Detection
Pediatric Otoscopy Video Screening with Shift Contrastive Anomaly Detection
Weiyao Wang
Aniruddha Tamhane
Christine Santos
J. Rzasa
James H Clark
Therese L. Canares
Mathias Unberath
62
4
0
25 Oct 2021
Learning of Inter-Label Geometric Relationships Using Self-Supervised
  Learning: Application To Gleason Grade Segmentation
Learning of Inter-Label Geometric Relationships Using Self-Supervised Learning: Application To Gleason Grade Segmentation
Dwarikanath Mahapatra
SSL
63
6
0
01 Oct 2021
CT Image Synthesis Using Weakly Supervised Segmentation and Geometric
  Inter-Label Relations For COVID Image Analysis
CT Image Synthesis Using Weakly Supervised Segmentation and Geometric Inter-Label Relations For COVID Image Analysis
Dwarikanath Mahapatra
Ankur Singh
81
8
0
15 Jun 2021
Interpretability-Driven Sample Selection Using Self Supervised Learning
  For Disease Classification And Segmentation
Interpretability-Driven Sample Selection Using Self Supervised Learning For Disease Classification And Segmentation
Dwarikanath Mahapatra
82
55
0
13 Apr 2021
1