Mathilde M. W. Wille

Orcid: 0000-0002-5669-9274

According to our database1, Mathilde M. W. Wille authored at least 15 papers between 2012 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2020
Classification of Volumetric Images Using Multi-Instance Learning and Extreme Value Theorem.
IEEE Trans. Medical Imaging, 2020

Learning to Quantify Emphysema Extent: What Labels Do We Need?
IEEE J. Biomed. Health Informatics, 2020

2018
Feature Learning Based on Visual Similarity Triplets in Medical Image Analysis: A Case Study of Emphysema in Chest CT Scans.
Proceedings of the Intravascular Imaging and Computer Assisted Stenting - and - Large-Scale Annotation of Biomedical Data and Expert Label Synthesis, 2018

Deep Learning from Label Proportions for Emphysema Quantification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Detecting emphysema with multiple instance learning.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

2017
Crowdsourced Emphysema Assessment.
Proceedings of the Intravascular Imaging and Computer Assisted Stenting, and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis, 2017

2016
Pulmonary Nodule Detection in CT Images: False Positive Reduction Using Multi-View Convolutional Networks.
IEEE Trans. Medical Imaging, 2016

Towards automatic pulmonary nodule management in lung cancer screening with deep learning.
CoRR, 2016

2015
Geodesic Atlas-Based Labeling of Anatomical Trees: Application and Evaluation on Airways Extracted From CT.
IEEE Trans. Medical Imaging, 2015

Bag-of-Frequencies: A Descriptor of Pulmonary Nodules in Computed Tomography Images.
IEEE Trans. Medical Imaging, 2015

Computer-aided detection of lung cancer: combining pulmonary nodule detection systems with a tumor risk prediction model.
Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015

Automatic detection of spiculation of pulmonary nodules in computed tomography images.
Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015

2014
Optimal surface segmentation using flow lines to quantify airway abnormalities in chronic obstructive pulmonary disease.
Medical Image Anal., 2014

2013
Tree-Space Statistics and Approximations for Large-Scale Analysis of Anatomical Trees.
Proceedings of the Information Processing in Medical Imaging, 2013

2012
A Hierarchical Scheme for Geodesic Anatomical Labeling of Airway Trees.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012


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