ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2011.04197
  4. Cited By
Detecting Outliers with Foreign Patch Interpolation
v1v2 (latest)

Detecting Outliers with Foreign Patch Interpolation

9 November 2020
Jeremy Tan
Benjamin Hou
James Batten
Huaqi Qiu
Bernhard Kainz
    MedIm
ArXiv (abs)PDFHTML

Papers citing "Detecting Outliers with Foreign Patch Interpolation"

37 / 37 papers shown
ART-ASyn: Anatomy-aware Realistic Texture-based Anomaly Synthesis Framework for Chest X-Rays
ART-ASyn: Anatomy-aware Realistic Texture-based Anomaly Synthesis Framework for Chest X-Rays
Qinyi Cao
Jianan Fan
Weidong Cai
MedIm
252
1
0
29 Nov 2025
ASBench: Image Anomalies Synthesis Benchmark for Anomaly Detection
ASBench: Image Anomalies Synthesis Benchmark for Anomaly Detection
Qunyi Zhang
Songan Zhang
Jinbao Wang
Xiaoning Lei
Guoyang Xie
Guannan Jiang
Zhichao Lu
Zhichao Lu
194
0
0
09 Oct 2025
REFLECT: Rectified Flows for Efficient Brain Anomaly Correction Transport
REFLECT: Rectified Flows for Efficient Brain Anomaly Correction TransportInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2025
Farzad Beizaee
Sina Hajimiri
Ismail Ben Ayed
Gregory A. Lodygensky
Christian Desrosiers
Jose Dolz
MedIm
205
2
0
04 Aug 2025
OCSVM-Guided Representation Learning for Unsupervised Anomaly Detection
OCSVM-Guided Representation Learning for Unsupervised Anomaly Detection
Nicolas Pinon
Carole Lartizien
DRLOOD
273
2
0
25 Jul 2025
PatchGuard: Adversarially Robust Anomaly Detection and Localization through Vision Transformers and Pseudo Anomalies
PatchGuard: Adversarially Robust Anomaly Detection and Localization through Vision Transformers and Pseudo AnomaliesComputer Vision and Pattern Recognition (CVPR), 2025
Mojtaba Nafez
Amirhossein Koochakian
Arad Maleki
Jafar Habibi
M. Rohban
AAML
425
5
0
10 Jun 2025
SemiSAM+: Rethinking Semi-Supervised Medical Image Segmentation in the Era of Foundation Models
SemiSAM+: Rethinking Semi-Supervised Medical Image Segmentation in the Era of Foundation Models
Yichi Zhang
Bohao Lv
Le Xue
Wenbo Zhang
Yuchen Liu
Yu Fu
Yuan Cheng
Yuan Qi
VLMMedIm
358
4
0
28 Feb 2025
Ensembled Cold-Diffusion Restorations for Unsupervised Anomaly Detection
Ensembled Cold-Diffusion Restorations for Unsupervised Anomaly Detection
Jonathan Passerat-Palmbach
Vasilis Siomos
Matthew Baugh
Christos Tzelepis
Bernhard Kainz
G. Tarroni
MedIm
222
9
0
09 Jul 2024
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
Jingbo Xia
Zhou Zhao
Yongchao Xu
GANMedIm
308
8
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
372
7
0
20 May 2024
Towards Universal Unsupervised Anomaly Detection in Medical Imaging
Towards Universal Unsupervised Anomaly Detection in Medical Imaging
Cosmin I. Bercea
Benedikt Wiestler
Daniel Rueckert
Julia A. Schnabel
264
8
0
19 Jan 2024
DISYRE: Diffusion-Inspired SYnthetic REstoration for Unsupervised
  Anomaly Detection
DISYRE: Diffusion-Inspired SYnthetic REstoration for Unsupervised Anomaly DetectionIEEE International Symposium on Biomedical Imaging (ISBI), 2023
Jonathan Passerat-Palmbach
Matthew Baugh
Vasilis Siomos
Christos Tzelepis
Bernhard Kainz
G. Tarroni
DiffMMedIm
270
9
0
26 Nov 2023
Unmasking the Chameleons: A Benchmark for Out-of-Distribution Detection
  in Medical Tabular Data
Unmasking the Chameleons: A Benchmark for Out-of-Distribution Detection in Medical Tabular Data
Mohammad Azizmalayeri
Ameen Abu-Hanna
Dirk Kraft
OOD
374
10
0
28 Sep 2023
On the use of Mahalanobis distance for out-of-distribution detection
  with neural networks for medical imaging
On the use of Mahalanobis distance for out-of-distribution detection with neural networks for medical imaging
Harry Anthony
Konstantinos Kamnitsas
252
20
0
04 Sep 2023
Modality Cycles with Masked Conditional Diffusion for Unsupervised
  Anomaly Segmentation in MRI
Modality Cycles with Masked Conditional Diffusion for Unsupervised Anomaly Segmentation in MRI
Ziyun Liang
Harry Anthony
Felix Wagner
Konstantinos Kamnitsas
DiffMMedIm
344
17
0
30 Aug 2023
REB: Reducing Biases in Representation for Industrial Anomaly Detection
REB: Reducing Biases in Representation for Industrial Anomaly DetectionKnowledge-Based Systems (KBS), 2023
Shuai Lyu
Dongmei Mo
W. Wong
355
34
0
24 Aug 2023
MIM-OOD: Generative Masked Image Modelling for Out-of-Distribution
  Detection in Medical Images
MIM-OOD: Generative Masked Image Modelling for Out-of-Distribution Detection in Medical Images
Jonathan Passerat-Palmbach
Vasilis Siomos
G. Tarroni
236
2
0
27 Jul 2023
AMAE: Adaptation of Pre-Trained Masked Autoencoder for Dual-Distribution
  Anomaly Detection in Chest X-Rays
AMAE: Adaptation of Pre-Trained Masked Autoencoder for Dual-Distribution Anomaly Detection in Chest X-RaysInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023
Behzad Bozorgtabar
Dwarikanath Mahapatra
Jean-Philippe Thiran
MedIm
376
14
0
24 Jul 2023
Many tasks make light work: Learning to localise medical anomalies from
  multiple synthetic tasks
Many tasks make light work: Learning to localise medical anomalies from multiple synthetic tasksInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023
Matthew Baugh
Jeremy Tan
Johanna P. Müller
Mischa Dombrowski
James Batten
Bernhard Kainz
OOD
206
14
0
03 Jul 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
587
3
0
26 Jun 2023
BMAD: Benchmarks for Medical Anomaly Detection
BMAD: Benchmarks for Medical Anomaly Detection
Jinan Bao
Hanshi Sun
Hanqiu Deng
Yinsheng He
Zhaoxiang Zhang
Xingyu Li
MedIm
364
92
0
20 Jun 2023
Domain knowledge-informed Synthetic fault sample generation with Health
  Data Map for cross-domain Planetary Gearbox Fault Diagnosis
Domain knowledge-informed Synthetic fault sample generation with Health Data Map for cross-domain Planetary Gearbox Fault DiagnosisMechanical systems and signal processing (MSSP), 2023
Jong Moon Ha
Olga Fink
339
24
0
31 May 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
UQCVOOD
243
6
0
23 Mar 2023
The role of noise in denoising models for anomaly detection in medical
  images
The role of noise in denoising models for anomaly detection in medical images
Antanas Kascenas
Pedro Sanchez
Patrick Schrempf
Chaoyang Wang
William Clackett
...
K. Goatman
Alexander Weir
N. Pugeault
Sotirios A. Tsaftaris
Alison Q. OÑeil
DiffMMedIm
193
57
0
19 Jan 2023
Solving Sample-Level Out-of-Distribution Detection on 3D Medical Images
Daria Frolova
A. Vasiliuk
Mikhail Belyaev
B. Shirokikh
OOD
267
1
0
13 Dec 2022
Dual-distribution discrepancy with self-supervised refinement for
  anomaly detection in medical images
Dual-distribution discrepancy with self-supervised refinement for anomaly detection in medical images
Yu Cai
Hao Chen
Xin Yang
Yu Zhou
Kwang-Ting Cheng
418
8
0
09 Oct 2022
Adnexal Mass Segmentation with Ultrasound Data Synthesis
Adnexal Mass Segmentation with Ultrasound Data Synthesis
Clara Lebbos
J. Barcroft
Jeremy Tan
J. Müller
Matthew Baugh
Athanasios Vlontzos
S. Saso
Bernhard Kainz
184
2
0
25 Sep 2022
nnOOD: A Framework for Benchmarking Self-supervised Anomaly Localisation
  Methods
nnOOD: A Framework for Benchmarking Self-supervised Anomaly Localisation Methods
Matthew Baugh
Jeremy Tan
Athanasios Vlontzos
Johanna P. Müller
Bernhard Kainz
OOD
241
3
0
02 Sep 2022
Unsupervised Anomaly Localization with Structural Feature-Autoencoders
Unsupervised Anomaly Localization with Structural Feature-Autoencoders
Felix Meissen
Johannes C. Paetzold
Georgios Kaissis
Daniel Rueckert
MedIm
193
30
0
23 Aug 2022
Dual-Distribution Discrepancy for Anomaly Detection in Chest X-Rays
Dual-Distribution Discrepancy for Anomaly Detection in Chest X-RaysInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022
Yu Cai
Hao Chen
Xin Yang
Yu Zhou
Wuhan
222
22
0
08 Jun 2022
On the Pitfalls of Using the Residual Error as Anomaly Score
On the Pitfalls of Using the Residual Error as Anomaly ScoreInternational Conference on Medical Imaging with Deep Learning (MIDL), 2022
Felix Meissen
Benedikt Wiestler
Georgios Kaissis
Daniel Rueckert
UQCV
224
19
0
08 Feb 2022
AutoSeg -- Steering the Inductive Biases for Automatic Pathology
  Segmentation
AutoSeg -- Steering the Inductive Biases for Automatic Pathology Segmentation
Felix Meissen
Georgios Kaissis
Daniel Rueckert
UQCV
168
3
0
24 Jan 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
200
4
0
25 Oct 2021
Natural Synthetic Anomalies for Self-Supervised Anomaly Detection and
  Localization
Natural Synthetic Anomalies for Self-Supervised Anomaly Detection and Localization
Hannah M. Schlüter
Jeremy Tan
Benjamin Hou
Bernhard Kainz
438
205
0
30 Sep 2021
CarveMix: A Simple Data Augmentation Method for Brain Lesion
  Segmentation
CarveMix: A Simple Data Augmentation Method for Brain Lesion Segmentation
Xinru Zhang
Chenghao Liu
N. Ou
Xiangzhu Zeng
Xiaoliang Xiong
Yizhou Yu
Zhiwen Liu
Chuyang Ye
485
56
0
16 Aug 2021
Detecting Outliers with Poisson Image Interpolation
Detecting Outliers with Poisson Image Interpolation
Jeremy Tan
Benjamin Hou
Thomas Day
J. Simpson
Daniel Rueckert
Bernhard Kainz
MedIm
180
65
0
06 Jul 2021
Confidence-based Out-of-Distribution Detection: A Comparative Study and
  Analysis
Confidence-based Out-of-Distribution Detection: A Comparative Study and Analysis
Christoph Berger
Magdalini Paschali
Ben Glocker
Konstantinos Kamnitsas
OOD
286
54
0
06 Jul 2021
Implicit field learning for unsupervised anomaly detection in medical
  images
Implicit field learning for unsupervised anomaly detection in medical imagesInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2021
Jonathan Passerat-Palmbach
G. Tarroni
192
30
0
09 Jun 2021
1
Page 1 of 1