Search Results for author: Anders Nymark Christensen

Found 12 papers, 3 papers with code

Feature-Centered First Order Structure Tensor Scale-Space in 2D and 3D

2 code implementations20 Sep 2024 Pawel Tomasz Pieta, Anders Bjorholm Dahl, Jeppe Revall Frisvad, Siavash Arjomand Bigdeli, Anders Nymark Christensen

The structure tensor method is often used for 2D and 3D analysis of imaged structures, but its results are in many cases very dependent on the user's choice of method parameters.

Shortcut Learning in Medical Image Segmentation

1 code implementation11 Mar 2024 Manxi Lin, Nina Weng, Kamil Mikolaj, Zahra Bashir, Morten Bo Søndergaard Svendsen, Martin Tolsgaard, Anders Nymark Christensen, Aasa Feragen

Shortcut learning is a phenomenon where machine learning models prioritize learning simple, potentially misleading cues from data that do not generalize well beyond the training set.

Image Classification Image Segmentation +3

An Automatic Guidance and Quality Assessment System for Doppler Imaging of Umbilical Artery

no code implementations11 Apr 2023 Chun Kit Wong, Manxi Lin, Alberto Raheli, Zahra Bashir, Morten Bo Søndergaard Svendsen, Martin Grønnebæk Tolsgaard, Aasa Feragen, Anders Nymark Christensen

Examination of the umbilical artery with Doppler ultrasonography is performed to investigate blood supply to the fetus through the umbilical cord, which is vital for the monitoring of fetal health.

I saw, I conceived, I concluded: Progressive Concepts as Bottlenecks

no code implementations19 Nov 2022 Manxi Lin, Aasa Feragen, Zahra Bashir, Martin Grønnebæk Tolsgaard, Anders Nymark Christensen

Concept bottleneck models (CBMs) include a bottleneck of human-interpretable concepts providing explainability and intervention during inference by correcting the predicted, intermediate concepts.

Decision Making

DTU-Net: Learning Topological Similarity for Curvilinear Structure Segmentation

no code implementations23 May 2022 Manxi Lin, Zahra Bashir, Martin Grønnebæk Tolsgaard, Anders Nymark Christensen, Aasa Feragen

We conduct experiments on a challenging multi-class ultrasound scan segmentation dataset as well as a well-known retinal imaging dataset.

Segmentation Triplet

Was that so hard? Estimating human classification difficulty

no code implementations22 Mar 2022 Morten Rieger Hannemose, Josefine Vilsbøll Sundgaard, Niels Kvorning Ternov, Rasmus R. Paulsen, Anders Nymark Christensen

In this paper, we introduce methods for estimating how hard it is for a doctor to diagnose a case represented by a medical image, both when ground truth difficulties are available for training, and when they are not.

Classification Metric Learning

Complex-valued neural networks for machine learning on non-stationary physical data

2 code implementations29 May 2019 Jesper Sören Dramsch, Mikael Lüthje, Anders Nymark Christensen

While it has been shown that phase content can be restored in deep neural networks, we show how including phase information in feature maps improves both training and inference from deterministic physical data.

BIG-bench Machine Learning

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