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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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07/11/2023
A Hierarchical Transformer Encoder to Improve Entire Neoplasm Segmentation on Whole Slide Image of Hepatocellular Carcinoma
In digital histopathology, entire neoplasm segmentation on Whole Slide I...
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05/04/2023
Evaluating Post-hoc Interpretability with Intrinsic Interpretability
Despite Convolutional Neural Networks having reached human-level perform...
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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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03/27/2023
VIDIMU. Multimodal video and IMU kinematic dataset on daily life activities using affordable devices
Human activity recognition and clinical biomechanics are challenging pro...
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02/10/2023
Tackling Bias in the Dice Similarity Coefficient: Introducing nDSC for White Matter Lesion Segmentation
The development of automatic segmentation techniques for medical imaging...
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12/31/2022
A Lattice Boltzmann Method for Elastic Solids Under Plane Strain Deformation
The Lattice Boltzmann Method (LBM), e.g. in [ 1] and [2 ], can be interp...
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11/14/2022
Unsupervised Method for Intra-patient Registration of Brain Magnetic Resonance Images based on Objective Function Weighting by Inverse Consistency: Contribution to the BraTS-Re
Registration of brain scans with pathologies is difficult, yet important...
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11/09/2022
Novel structural-scale uncertainty measures and error retention curves: application to multiple sclerosis
This paper focuses on the uncertainty estimation for white matter lesion...
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08/29/2022
Attention-based Interpretable Regression of Gene Expression in Histology
Interpretability of deep learning is widely used to evaluate the reliabi...
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08/25/2022
A Lattice Boltzmann Method for nonlinear solid mechanics in the reference configuration
With a sufficiently fine discretisation, the Lattice Boltzmann Method (L...
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08/08/2022
Dirichlet and Neumann boundary conditions in a Lattice Boltzmann Method for Elastodynamics
Recently, Murthy et al. [2017] and Escande et al. [2020] adopted the Lat...
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06/23/2022
Dynamic Propagation of Mode III Cracks in a Lattice Boltzmann Method for Solids
This work presents concepts and algorithms for the simulation of dynamic...
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01/17/2022
H E-adversarial network: a convolutional neural network to learn stain-invariant features through Hematoxylin Eosin regression
Computational pathology is a domain that aims to develop algorithms to a...
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04/12/2021
Common Limitations of Image Processing Metrics: A Picture Story
While the importance of automatic image analysis is increasing at an eno...
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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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10/09/2019
BIAS: Transparent reporting of biomedical image analysis challenges
The number of biomedical image analysis challenges organized per year is...
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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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06/06/2018
Is the winner really the best? A critical analysis of common research practice in biomedical image analysis competitions
International challenges have become the standard for validation of biom...
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03/16/2017