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. 2108.11986
  4. Cited By
Anomaly Detection in Medical Imaging -- A Mini Review

Anomaly Detection in Medical Imaging -- A Mini Review

25 August 2021
M. Tschuchnig
M. Gadermayr
ArXivPDFHTML

Papers citing "Anomaly Detection in Medical Imaging -- A Mini Review"

8 / 8 papers shown
Title
A Mini Review on the utilization of Reinforcement Learning with OPC UA
A Mini Review on the utilization of Reinforcement Learning with OPC UA
Simon Schindler
M. Uray
Stefan Huber
23
1
0
24 May 2023
ISSTAD: Incremental Self-Supervised Learning Based on Transformer for
  Anomaly Detection and Localization
ISSTAD: Incremental Self-Supervised Learning Based on Transformer for Anomaly Detection and Localization
WenPing Jin
Fei-Yu Guo
Li Zhu
ViT
MedIm
32
1
0
30 Mar 2023
Confidence-Aware and Self-Supervised Image Anomaly Localisation
Confidence-Aware and Self-Supervised Image Anomaly Localisation
Johanna P. Müller
Matthew Baugh
Jeremy Tan
Mischa Dombrowski
Bernhard Kainz
UQCV
OOD
16
4
0
23 Mar 2023
LEAN-DMKDE: Quantum Latent Density Estimation for Anomaly Detection
LEAN-DMKDE: Quantum Latent Density Estimation for Anomaly Detection
Joseph A. Gallego-Mejia
Oscar A. Bustos-Brinez
Fabio A. González
42
2
0
15 Nov 2022
Diffusion Models for Medical Image Analysis: A Comprehensive Survey
Diffusion Models for Medical Image Analysis: A Comprehensive Survey
A. Kazerouni
Ehsan Khodapanah Aghdam
Moein Heidari
Reza Azad
Mohsen Fayyaz
I. Hacihaliloglu
Dorit Merhof
DiffM
MedIm
35
354
0
14 Nov 2022
Image Synthesis as a Pretext for Unsupervised Histopathological
  Diagnosis
Image Synthesis as a Pretext for Unsupervised Histopathological Diagnosis
Dejan Štepec
D. Skočaj
MedIm
24
6
0
28 Apr 2021
DeScarGAN: Disease-Specific Anomaly Detection with Weak Supervision
DeScarGAN: Disease-Specific Anomaly Detection with Weak Supervision
J. Wolleb
Robin Sandkühler
Philippe C. Cattin
228
21
0
28 Jul 2020
MADGAN: unsupervised Medical Anomaly Detection GAN using multiple
  adjacent brain MRI slice reconstruction
MADGAN: unsupervised Medical Anomaly Detection GAN using multiple adjacent brain MRI slice reconstruction
Changhee Han
L. Rundo
K. Murao
T. Noguchi
Yuki Shimahara
Z. '. Milacski
S. Koshino
Evis Sala
Hideki Nakayama
Shinichi Satoh
MedIm
86
159
0
24 Jul 2020
1