Anomaly Detection in Medical Imaging -- A Mini Review
Fuente:
arXiv
Saved in:
| Main Authors: | Tschuchnig, Maximilian E., Gadermayr, Michael |
|---|---|
| Format: | Preprint |
| Published: |
2021
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Hybrid Deep Learning and Handcrafted Feature Fusion for Mammographic Breast Cancer Classification
by: Tschuchnig, Maximilian, et al.
Published: (2025)
by: Tschuchnig, Maximilian, et al.
Published: (2025)
Multimodal Learning With Intraoperative CBCT & Variably Aligned Preoperative CT Data To Improve Segmentation
by: Tschuchnig, Maximilian E., et al.
Published: (2024)
by: Tschuchnig, Maximilian E., et al.
Published: (2024)
Initial Study On Improving Segmentation By Combining Preoperative CT And Intraoperative CBCT Using Synthetic Data
by: Tschuchnig, Maximilian E., et al.
Published: (2024)
by: Tschuchnig, Maximilian E., et al.
Published: (2024)
Enhancing Synthetic CT from CBCT via Multimodal Fusion: A Study on the Impact of CBCT Quality and Alignment
by: Tschuchnig, Maximilian, et al.
Published: (2025)
by: Tschuchnig, Maximilian, et al.
Published: (2025)
Multi-task Learning To Improve Semantic Segmentation Of CBCT Scans Using Image Reconstruction
by: Tschuchnig, Maximilian Ernst, et al.
Published: (2023)
by: Tschuchnig, Maximilian Ernst, et al.
Published: (2023)
Enhancing Synthetic CT from CBCT via Multimodal Fusion and End-To-End Registration
by: Tschuchnig, Maximilian, et al.
Published: (2025)
by: Tschuchnig, Maximilian, et al.
Published: (2025)
Evaluation of Multi-Scale Multiple Instance Learning to Improve Thyroid Cancer Classification
by: Tschuchnig, Maximilian E., et al.
Published: (2022)
by: Tschuchnig, Maximilian E., et al.
Published: (2022)
Towards Universal Unsupervised Anomaly Detection in Medical Imaging
by: Bercea, Cosmin I., et al.
Published: (2024)
by: Bercea, Cosmin I., et al.
Published: (2024)
Diffusion Models with Implicit Guidance for Medical Anomaly Detection
by: Bercea, Cosmin I., et al.
Published: (2024)
by: Bercea, Cosmin I., et al.
Published: (2024)
Deep Semantic Segmentation of Natural and Medical Images: A Review
by: Taghanaki, Saeid Asgari, et al.
Published: (2019)
by: Taghanaki, Saeid Asgari, et al.
Published: (2019)
MedYOLO: A Medical Image Object Detection Framework
by: Sobek, Joseph, et al.
Published: (2023)
by: Sobek, Joseph, et al.
Published: (2023)
Improving Uncertainty-based Out-of-Distribution Detection for Medical Image Segmentation
by: Lambert, Benjamin, et al.
Published: (2022)
by: Lambert, Benjamin, et al.
Published: (2022)
Diffusion Models with Ensembled Structure-Based Anomaly Scoring for Unsupervised Anomaly Detection
by: Behrendt, Finn, et al.
Published: (2024)
by: Behrendt, Finn, et al.
Published: (2024)
Learning Generalized Medical Image Representations through Image-Graph Contrastive Pretraining
by: Khanna, Sameer, et al.
Published: (2024)
by: Khanna, Sameer, et al.
Published: (2024)
A Systematic Review of Low-Rank and Local Low-Rank Matrix Approximation in Big Data Medical Imaging
by: Hamlomo, Sisipho, et al.
Published: (2024)
by: Hamlomo, Sisipho, et al.
Published: (2024)
Medical Imaging Complexity and its Effects on GAN Performance
by: Cagas, William, et al.
Published: (2024)
by: Cagas, William, et al.
Published: (2024)
Asynchronous Decentralized Federated Lifelong Learning for Landmark Localization in Medical Imaging
by: Zheng, Guangyao, et al.
Published: (2023)
by: Zheng, Guangyao, et al.
Published: (2023)
Segment Anything Model for Medical Images?
by: Huang, Yuhao, et al.
Published: (2023)
by: Huang, Yuhao, et al.
Published: (2023)
Shortcut Learning in Medical Image Segmentation
by: Lin, Manxi, et al.
Published: (2024)
by: Lin, Manxi, et al.
Published: (2024)
Supervision by Denoising for Medical Image Segmentation
by: Young, Sean I., et al.
Published: (2022)
by: Young, Sean I., et al.
Published: (2022)
The Missing Piece: A Case for Pre-Training in 3D Medical Object Detection
by: Eckstein, Katharina, et al.
Published: (2025)
by: Eckstein, Katharina, et al.
Published: (2025)
Navigating Distribution Shifts in Medical Image Analysis: A Survey
by: Su, Zixian, et al.
Published: (2024)
by: Su, Zixian, et al.
Published: (2024)
Leveraging the Mahalanobis Distance to enhance Unsupervised Brain MRI Anomaly Detection
by: Behrendt, Finn, et al.
Published: (2024)
by: Behrendt, Finn, et al.
Published: (2024)
Rethinking Transfer Learning for Medical Image Classification
by: Peng, Le, et al.
Published: (2021)
by: Peng, Le, et al.
Published: (2021)
Rethinking Perceptual Metrics for Medical Image Translation
by: Konz, Nicholas, et al.
Published: (2024)
by: Konz, Nicholas, et al.
Published: (2024)
Dual Cross-Attention for Medical Image Segmentation
by: Ates, Gorkem Can, et al.
Published: (2023)
by: Ates, Gorkem Can, et al.
Published: (2023)
Scalable Drift Monitoring in Medical Imaging AI
by: Merkow, Jameson, et al.
Published: (2024)
by: Merkow, Jameson, et al.
Published: (2024)
Structure-Aware Stylized Image Synthesis for Robust Medical Image Segmentation
by: Bao, Jie, et al.
Published: (2024)
by: Bao, Jie, et al.
Published: (2024)
Exploring Variational Autoencoders for Medical Image Generation: A Comprehensive Study
by: Rais, Khadija, et al.
Published: (2024)
by: Rais, Khadija, et al.
Published: (2024)
Guided Reconstruction with Conditioned Diffusion Models for Unsupervised Anomaly Detection in Brain MRIs
by: Behrendt, Finn, et al.
Published: (2023)
by: Behrendt, Finn, et al.
Published: (2023)
A Flexible 2.5D Medical Image Segmentation Approach with In-Slice and Cross-Slice Attention
by: Kumar, Amarjeet, et al.
Published: (2024)
by: Kumar, Amarjeet, et al.
Published: (2024)
MedNeXt: Transformer-driven Scaling of ConvNets for Medical Image Segmentation
by: Roy, Saikat, et al.
Published: (2023)
by: Roy, Saikat, et al.
Published: (2023)
MedMamba: Vision Mamba for Medical Image Classification
by: Yue, Yubiao, et al.
Published: (2024)
by: Yue, Yubiao, et al.
Published: (2024)
Topologically Faithful Multi-class Segmentation in Medical Images
by: Berger, Alexander H., et al.
Published: (2024)
by: Berger, Alexander H., et al.
Published: (2024)
Preserving Tumor Volumes for Unsupervised Medical Image Registration
by: Dong, Qihua, et al.
Published: (2023)
by: Dong, Qihua, et al.
Published: (2023)
GCtx-UNet: Efficient Network for Medical Image Segmentation
by: Alrfou, Khaled, et al.
Published: (2024)
by: Alrfou, Khaled, et al.
Published: (2024)
Low-Rank Representations Meets Deep Unfolding: A Generalized and Interpretable Network for Hyperspectral Anomaly Detection
by: Li, Chenyu, et al.
Published: (2024)
by: Li, Chenyu, et al.
Published: (2024)
A Generalized Surface Loss for Reducing the Hausdorff Distance in Medical Imaging Segmentation
by: Celaya, Adrian, et al.
Published: (2023)
by: Celaya, Adrian, et al.
Published: (2023)
Capsule-ConvKAN: A Hybrid Neural Approach to Medical Image Classification
by: Pituková, Laura, et al.
Published: (2025)
by: Pituková, Laura, et al.
Published: (2025)
Diffusion based Zero-shot Medical Image-to-Image Translation for Cross Modality Segmentation
by: Wang, Zihao, et al.
Published: (2024)
by: Wang, Zihao, et al.
Published: (2024)
Similar Items
-
Hybrid Deep Learning and Handcrafted Feature Fusion for Mammographic Breast Cancer Classification
by: Tschuchnig, Maximilian, et al.
Published: (2025) -
Multimodal Learning With Intraoperative CBCT & Variably Aligned Preoperative CT Data To Improve Segmentation
by: Tschuchnig, Maximilian E., et al.
Published: (2024) -
Initial Study On Improving Segmentation By Combining Preoperative CT And Intraoperative CBCT Using Synthetic Data
by: Tschuchnig, Maximilian E., et al.
Published: (2024) -
Enhancing Synthetic CT from CBCT via Multimodal Fusion: A Study on the Impact of CBCT Quality and Alignment
by: Tschuchnig, Maximilian, et al.
Published: (2025) -
Multi-task Learning To Improve Semantic Segmentation Of CBCT Scans Using Image Reconstruction
by: Tschuchnig, Maximilian Ernst, et al.
Published: (2023)