Picture for Vincent Andrearczyk

Vincent Andrearczyk

for the Image Biomarker Standardisation Initiative

Instance-level quantitative saliency in multiple sclerosis lesion segmentation

Add code
Jun 13, 2024
Figure 1 for Instance-level quantitative saliency in multiple sclerosis lesion segmentation
Figure 2 for Instance-level quantitative saliency in multiple sclerosis lesion segmentation
Figure 3 for Instance-level quantitative saliency in multiple sclerosis lesion segmentation
Figure 4 for Instance-level quantitative saliency in multiple sclerosis lesion segmentation
Viaarxiv icon

EDUE: Expert Disagreement-Guided One-Pass Uncertainty Estimation for Medical Image Segmentation

Add code
Mar 25, 2024
Viaarxiv icon

MedShapeNet -- A Large-Scale Dataset of 3D Medical Shapes for Computer Vision

Add code
Sep 12, 2023
Figure 1 for MedShapeNet -- A Large-Scale Dataset of 3D Medical Shapes for Computer Vision
Figure 2 for MedShapeNet -- A Large-Scale Dataset of 3D Medical Shapes for Computer Vision
Figure 3 for MedShapeNet -- A Large-Scale Dataset of 3D Medical Shapes for Computer Vision
Figure 4 for MedShapeNet -- A Large-Scale Dataset of 3D Medical Shapes for Computer Vision
Viaarxiv icon

Uncovering Unique Concept Vectors through Latent Space Decomposition

Add code
Jul 14, 2023
Viaarxiv icon

Disentangling Neuron Representations with Concept Vectors

Add code
Apr 19, 2023
Figure 1 for Disentangling Neuron Representations with Concept Vectors
Figure 2 for Disentangling Neuron Representations with Concept Vectors
Figure 3 for Disentangling Neuron Representations with Concept Vectors
Figure 4 for Disentangling Neuron Representations with Concept Vectors
Viaarxiv icon

Why is the winner the best?

Add code
Mar 30, 2023
Figure 1 for Why is the winner the best?
Figure 2 for Why is the winner the best?
Figure 3 for Why is the winner the best?
Figure 4 for Why is the winner the best?
Viaarxiv icon

Biomedical image analysis competitions: The state of current participation practice

Add code
Dec 16, 2022
Viaarxiv icon

Overview of the HECKTOR Challenge at MICCAI 2021: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT Images

Add code
Jan 11, 2022
Figure 1 for Overview of the HECKTOR Challenge at MICCAI 2021: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT Images
Figure 2 for Overview of the HECKTOR Challenge at MICCAI 2021: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT Images
Viaarxiv icon

Guiding CNNs towards Relevant Concepts by Multi-task and Adversarial Learning

Add code
Aug 04, 2020
Figure 1 for Guiding CNNs towards Relevant Concepts by Multi-task and Adversarial Learning
Figure 2 for Guiding CNNs towards Relevant Concepts by Multi-task and Adversarial Learning
Figure 3 for Guiding CNNs towards Relevant Concepts by Multi-task and Adversarial Learning
Figure 4 for Guiding CNNs towards Relevant Concepts by Multi-task and Adversarial Learning
Viaarxiv icon

Standardised convolutional filtering for radiomics

Add code
Jun 09, 2020
Figure 1 for Standardised convolutional filtering for radiomics
Figure 2 for Standardised convolutional filtering for radiomics
Figure 3 for Standardised convolutional filtering for radiomics
Figure 4 for Standardised convolutional filtering for radiomics
Viaarxiv icon