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09/18/2023
Application-driven Validation of Posteriors in Inverse Problems
Current deep learning-based solutions for image analysis tasks are commo...
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09/14/2023
RecycleNet: Latent Feature Recycling Leads to Iterative Decision Refinement
Despite the remarkable success of deep learning systems over the last de...
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09/07/2023
Anatomy-informed Data Augmentation for Enhanced Prostate Cancer Detection
Data augmentation (DA) is a key factor in medical image analysis, such a...
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07/27/2023
Understanding Silent Failures in Medical Image Classification
To ensure the reliable use of classification systems in medical applicat...
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07/14/2023
cOOpD: Reformulating COPD classification on chest CT scans as anomaly detection using contrastive representations
Classification of heterogeneous diseases is challenging due to their com...
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06/15/2023
Improving Explainability of Disentangled Representations using Multipath-Attribution Mappings
Explainable AI aims to render model behavior understandable by humans, w...
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03/17/2023
MedNeXt: Transformer-driven Scaling of ConvNets for Medical Image Segmentation
There has been exploding interest in embracing Transformer-based archite...
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01/25/2023
Toward Realistic Evaluation of Deep Active Learning Algorithms in Image Classification
Active Learning (AL) aims to reduce the labeling burden by interactively...
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01/05/2023
CRADL: Contrastive Representations for Unsupervised Anomaly Detection and Localization
Unsupervised anomaly detection in medical imaging aims to detect and loc...
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11/28/2022
A Call to Reflect on Evaluation Practices for Failure Detection in Image Classification
Reliable application of machine learning-based decision systems in the w...
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11/04/2022
MONAI: An open-source framework for deep learning in healthcare
Artificial Intelligence (AI) is having a tremendous impact across most a...
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06/01/2021
nnDetection: A Self-configuring Method for Medical Object Detection
Simultaneous localisation and categorization of objects in medical image...
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11/02/2020
nnU-Net for Brain Tumor Segmentation
We apply nnU-Net to the segmentation task of the BraTS 2020 challenge. T...
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11/21/2018
Retina U-Net: Embarrassingly Simple Exploitation of Segmentation Supervision for Medical Object Detection
The task of localizing and categorizing objects in medical images often ...
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09/27/2018
nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation
The U-Net was presented in 2015. With its straight-forward and successfu...
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07/17/2018