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07/13/2023
Uncovering Unique Concept Vectors through Latent Space Decomposition
Interpreting the inner workings of deep learning models is crucial for e...
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04/19/2023
Disentangling Neuron Representations with Concept Vectors
Mechanistic interpretability aims to understand how models store represe...
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01/11/2022
Overview of the HECKTOR Challenge at MICCAI 2021: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT Images
This paper presents an overview of the second edition of the HEad and ne...
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08/04/2020
Guiding CNNs towards Relevant Concepts by Multi-task and Adversarial Learning
The opaqueness of deep learning limits its deployment in critical applic...
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06/09/2020
Standardised convolutional filtering for radiomics
The Image Biomarker Standardisation Initiative (IBSI) aims to improve re...
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04/28/2020
3D Solid Spherical Bispectrum CNNs for Biomedical Texture Analysis
Locally Rotation Invariant (LRI) operators have shown great potential in...
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03/19/2020
Local Rotation Invariance in 3D CNNs
Locally Rotation Invariant (LRI) image analysis was shown to be fundamen...
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04/09/2019
Regression Concept Vectors for Bidirectional Explanations in Histopathology
Explanations for deep neural network predictions in terms of domain-rela...
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10/16/2018
Rotational 3D Texture Classification Using Group Equivariant CNNs
Convolutional Neural Networks (CNNs) traditionally encode translation eq...
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03/16/2017
Convolutional Neural Network on Three Orthogonal Planes for Dynamic Texture Classification
Dynamic Textures (DTs) are sequences of images of moving scenes that exh...
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03/15/2017
Texture segmentation with Fully Convolutional Networks
In the last decade, deep learning has contributed to advances in a wide ...
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01/12/2016