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Implicit field learning for unsupervised anomaly detection in medical
  images

Implicit field learning for unsupervised anomaly detection in medical images

9 June 2021
Sergio Naval Marimont
G. Tarroni
ArXivPDFHTML

Papers citing "Implicit field learning for unsupervised anomaly detection in medical images"

15 / 15 papers shown
Title
Spatial-aware Attention Generative Adversarial Network for
  Semi-supervised Anomaly Detection in Medical Image
Spatial-aware Attention Generative Adversarial Network for Semi-supervised Anomaly Detection in Medical Image
Zerui Zhang
Zhichao Sun
Zelong Liu
Bo Du
Rui Yu
Zhou Zhao
Yongchao Xu
GAN
MedIm
46
3
0
21 May 2024
Position-Guided Prompt Learning for Anomaly Detection in Chest X-Rays
Position-Guided Prompt Learning for Anomaly Detection in Chest X-Rays
Zhichao Sun
Yuliang Gu
Yepeng Liu
Zerui Zhang
Zhou Zhao
Yongchao Xu
MedIm
89
2
0
20 May 2024
Exploiting Structural Consistency of Chest Anatomy for Unsupervised
  Anomaly Detection in Radiography Images
Exploiting Structural Consistency of Chest Anatomy for Unsupervised Anomaly Detection in Radiography Images
Tiange Xiang
Yixiao Zhang
Yongyi Lu
Alan Yuille
Chaoyi Zhang
Weidong Cai
Zongwei Zhou
46
3
0
13 Mar 2024
I-MedSAM: Implicit Medical Image Segmentation with Segment Anything
I-MedSAM: Implicit Medical Image Segmentation with Segment Anything
Xiaobao Wei
Jiajun Cao
Yizhu Jin
Ming Lu
Guangyu Wang
Shanghang Zhang
VLM
50
10
0
28 Nov 2023
Weakly Supervised Anomaly Detection for Chest X-Ray Image
Weakly Supervised Anomaly Detection for Chest X-Ray Image
Haoqi Ni
Ximiao Zhang
Min Xu
Ning Lang
Xiuzhuang Zhou
33
0
0
16 Nov 2023
Bayes' Rays: Uncertainty Quantification for Neural Radiance Fields
Bayes' Rays: Uncertainty Quantification for Neural Radiance Fields
Lily Goli
Cody Reading
Silvia Sellán
Alec Jacobson
Andrea Tagliasacchi
BDL
UQCV
33
59
0
06 Sep 2023
MedLSAM: Localize and Segment Anything Model for 3D CT Images
MedLSAM: Localize and Segment Anything Model for 3D CT Images
Wenhui Lei
Xu Wei
Xiaofan Zhang
Kang Li
Shaoting Zhang
MedIm
31
3
0
26 Jun 2023
AutoPaint: A Self-Inpainting Method for Unsupervised Anomaly Detection
AutoPaint: A Self-Inpainting Method for Unsupervised Anomaly Detection
M. Astaraki
F. Benetti
Yousef Yeganeh
I. Toma-Dasu
Orjan Smedby
Chunliang Wang
Nassir Navab
T. Wendler
20
6
0
21 May 2023
Unsupervised Brain Tumor Segmentation with Image-based Prompts
Unsupervised Brain Tumor Segmentation with Image-based Prompts
Xinru Zhang
N. Ou
Chenghao Liu
Z. Zhuo
Yao Liu
Chuyang Ye
VLM
27
2
0
04 Apr 2023
Implicit U-Net for volumetric medical image segmentation
Implicit U-Net for volumetric medical image segmentation
Sergio Naval Marimont
G. Tarroni
SSeg
41
2
0
30 Jun 2022
ASC-Net: Unsupervised Medical Anomaly Segmentation Using an
  Adversarial-based Selective Cutting Network
ASC-Net: Unsupervised Medical Anomaly Segmentation Using an Adversarial-based Selective Cutting Network
Raunak Dey
Wenbo Sun
Haibo Xu
Yi Hong
15
0
0
16 Dec 2021
SQUID: Deep Feature In-Painting for Unsupervised Anomaly Detection
SQUID: Deep Feature In-Painting for Unsupervised Anomaly Detection
Tiange Xiang
Yixiao Zhang
Yongyi Lu
Alan Yuille
Chaoyi Zhang
Weidong (Tom) Cai
Zongwei Zhou
UQCV
32
39
0
26 Nov 2021
Self-supervised Tumor Segmentation through Layer Decomposition
Self-supervised Tumor Segmentation through Layer Decomposition
Xiaoman Zhang
Weidi Xie
Chaoqin Huang
Yanfeng Wang
Ya Zhang
Xin Chen
Qi Tian
29
6
0
07 Sep 2021
Anomaly detection through latent space restoration using
  vector-quantized variational autoencoders
Anomaly detection through latent space restoration using vector-quantized variational autoencoders
Sergio Naval Marimont
G. Tarroni
DRL
128
57
0
12 Dec 2020
A Survey on Deep Learning in Medical Image Analysis
A Survey on Deep Learning in Medical Image Analysis
G. Litjens
Thijs Kooi
B. Bejnordi
A. Setio
F. Ciompi
Mohsen Ghafoorian
Jeroen van der Laak
Bram van Ginneken
C. I. Sánchez
OOD
343
10,639
0
19 Feb 2017
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