Similar Items
Rethinking Autoencoders for Medical Anomaly Detection from A Theoretical Perspective
by: Cai, Yu, et al.
Published: (2024)
by: Cai, Yu, et al.
Published: (2024)
Efficient Slice Anomaly Detection Network for 3D Brain MRI Volume
by: Zhang, Zeduo, et al.
Published: (2024)
by: Zhang, Zeduo, et al.
Published: (2024)
Uncertainty-Aware Vision-Language Segmentation for Medical Imaging
by: Das, Aryan, et al.
Published: (2026)
by: Das, Aryan, et al.
Published: (2026)
Training-Free Zero-Shot Anomaly Detection in 3D Brain MRI with 2D Foundation Models
by: Le-Gia, Tai, et al.
Published: (2026)
by: Le-Gia, Tai, et al.
Published: (2026)
Self-Supervised Training with Autoencoders for Visual Anomaly Detection
by: Bauer, Alexander, et al.
Published: (2022)
by: Bauer, Alexander, et al.
Published: (2022)
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)
An Uncertainty-Aware Loss Function Incorporating Fuzzy Logic: Application to MRI Brain Image Segmentation
by: Verma, Hanuman, et al.
Published: (2026)
by: Verma, Hanuman, et al.
Published: (2026)
Exploiting Autoencoder's Weakness to Generate Pseudo Anomalies
by: Astrid, Marcella, et al.
Published: (2024)
by: Astrid, Marcella, et al.
Published: (2024)
Brain Tumor Detection in MRI Based on Federated Learning with YOLOv11
by: Monisha, Sheikh Moonwara Anjum, et al.
Published: (2025)
by: Monisha, Sheikh Moonwara Anjum, et al.
Published: (2025)
A Novel Metric for Detecting Memorization in Generative Models for Brain MRI Synthesis
by: Scardace, Antonio, et al.
Published: (2025)
by: Scardace, Antonio, et al.
Published: (2025)
Network Inversion for Uncertainty-Aware Out-of-Distribution Detection
by: Suhail, Pirzada, et al.
Published: (2025)
by: Suhail, Pirzada, et al.
Published: (2025)
Ensembling Pruned Attention Heads For Uncertainty-Aware Efficient Transformers
by: Gabetni, Firas, et al.
Published: (2025)
by: Gabetni, Firas, et al.
Published: (2025)
Sparse Autoencoders for Interpretable Medical Image Representation Learning
by: Wesp, Philipp, et al.
Published: (2026)
by: Wesp, Philipp, et al.
Published: (2026)
CLIP Meets Diffusion: A Synergistic Approach to Anomaly Detection
by: Lee, Byeongchan, et al.
Published: (2025)
by: Lee, Byeongchan, et al.
Published: (2025)
Mechanistic Interpretability of Diffusion Models: Circuit-Level Analysis and Causal Validation
by: Roy, Dip
Published: (2025)
by: Roy, Dip
Published: (2025)
Hybrid CNN with Chebyshev Polynomial Expansion for Medical Image Analysis
by: Roy, Abhinav, et al.
Published: (2025)
by: Roy, Abhinav, et al.
Published: (2025)
GeoSAE: Geometric Prior-Guided Layer-Wise Sparse Autoencoder Annotation of Brain MRI Foundation Models
by: Nerrise, Favour, et al.
Published: (2026)
by: Nerrise, Favour, et al.
Published: (2026)
Anomaly-Aware Vision-Language Adapters for Zero-Shot Anomaly Detection
by: Aqeel, Muhammad, et al.
Published: (2026)
by: Aqeel, Muhammad, et al.
Published: (2026)
VAN-AD: Visual Masked Autoencoder with Normalizing Flow For Time Series Anomaly Detection
by: Chen, PengYu, et al.
Published: (2026)
by: Chen, PengYu, et al.
Published: (2026)
Counterfactual Explanations for Medical Image Classification and Regression using Diffusion Autoencoder
by: Atad, Matan, et al.
Published: (2024)
by: Atad, Matan, et al.
Published: (2024)
Navigating Uncertainty in Medical Image Segmentation
by: Zepf, Kilian, et al.
Published: (2024)
by: Zepf, Kilian, et al.
Published: (2024)
Conditional Uncertainty-Aware Political Deepfake Detection with Stochastic Convolutional Neural Networks
by: Gardoş, Rafael-Petruţ
Published: (2026)
by: Gardoş, Rafael-Petruţ
Published: (2026)
Investigating the Role of Bilateral Symmetry for Inpainting Brain MRI
by: Kuznetsov, Sergey, et al.
Published: (2025)
by: Kuznetsov, Sergey, et al.
Published: (2025)
Anomalies by Synthesis: Anomaly Detection using Generative Diffusion Models for Off-Road Navigation
by: Ancha, Siddharth, et al.
Published: (2025)
by: Ancha, Siddharth, et al.
Published: (2025)
Brain Tumor Classification from 3D MRI Using Persistent Homology and Betti Features: A Topological Data Analysis Approach on BraTS2020
by: Ahmed, Faisal
Published: (2026)
by: Ahmed, Faisal
Published: (2026)
On the Problem of Consistent Anomalies in Zero-Shot Anomaly Detection
by: Le-Gia, Tai
Published: (2025)
by: Le-Gia, Tai
Published: (2025)
Hyperspectral Anomaly Detection with Self-Supervised Anomaly Prior
by: Liu, Yidan, et al.
Published: (2024)
by: Liu, Yidan, et al.
Published: (2024)
Context-Aware Zero-Shot Anomaly Detection in Surveillance Using Contrastive and Predictive Spatiotemporal Modeling
by: Khan, Md. Rashid Shahriar, et al.
Published: (2025)
by: Khan, Md. Rashid Shahriar, et al.
Published: (2025)
Separating Novel Features for Logical Anomaly Detection: A Straightforward yet Effective Approach
by: Lee, Kangil, et al.
Published: (2024)
by: Lee, Kangil, et al.
Published: (2024)
A Tumor Aware DenseNet Swin Hybrid Learning with Boosted and Hierarchical Feature Spaces for Large-Scale Brain MRI Classification
by: Shah, Muhammad Ali, et al.
Published: (2026)
by: Shah, Muhammad Ali, et al.
Published: (2026)
Is Hyperbolic Space All You Need for Medical Anomaly Detection?
by: Gonzalez-Jimenez, Alvaro, et al.
Published: (2025)
by: Gonzalez-Jimenez, Alvaro, et al.
Published: (2025)
Lightweight Metadata-Aware Mixture-of-Experts Masked Autoencoder for Earth Observation
by: Albughdadi, Mohanad
Published: (2025)
by: Albughdadi, Mohanad
Published: (2025)
Set Features for Anomaly Detection
by: Cohen, Niv, et al.
Published: (2023)
by: Cohen, Niv, et al.
Published: (2023)
IterMask2: Iterative Unsupervised Anomaly Segmentation via Spatial and Frequency Masking for Brain Lesions in MRI
by: Liang, Ziyun, et al.
Published: (2024)
by: Liang, Ziyun, et al.
Published: (2024)
DUAL: Dynamic Uncertainty-Aware Learning
by: Qin, Jiahao, et al.
Published: (2025)
by: Qin, Jiahao, et al.
Published: (2025)
Uncertainty-Aware Decomposed Hybrid Networks
by: Ditzel, Sina, et al.
Published: (2025)
by: Ditzel, Sina, et al.
Published: (2025)
Error-Driven Uncertainty Aware Training
by: Mendes, Pedro, et al.
Published: (2024)
by: Mendes, Pedro, et al.
Published: (2024)
Robust Spectral Anomaly Detection in EELS Spectral Images via Three Dimensional Convolutional Variational Autoencoders
by: Sultanov, Seyfal, et al.
Published: (2024)
by: Sultanov, Seyfal, et al.
Published: (2024)
Uncertainty Quantification in Detecting Choroidal Metastases on MRI via Evolutionary Strategies
by: McRae-Posani, Bala, et al.
Published: (2024)
by: McRae-Posani, Bala, et al.
Published: (2024)
Segmentation of Gray Matters and White Matters from Brain MRI data
by: Sun, Chang, et al.
Published: (2026)
by: Sun, Chang, et al.
Published: (2026)
Similar Items
-
Rethinking Autoencoders for Medical Anomaly Detection from A Theoretical Perspective
by: Cai, Yu, et al.
Published: (2024) -
Efficient Slice Anomaly Detection Network for 3D Brain MRI Volume
by: Zhang, Zeduo, et al.
Published: (2024) -
Uncertainty-Aware Vision-Language Segmentation for Medical Imaging
by: Das, Aryan, et al.
Published: (2026) -
Training-Free Zero-Shot Anomaly Detection in 3D Brain MRI with 2D Foundation Models
by: Le-Gia, Tai, et al.
Published: (2026) -
Self-Supervised Training with Autoencoders for Visual Anomaly Detection
by: Bauer, Alexander, et al.
Published: (2022)