Mathilde M. W. Wille

Publication Activity (10 Years)

Years Active: 2012-2020
Publications (10 Years): 10

Top Topics

Top Venues

CVII-STENT/LABELS@MICCAI

IEEE Trans. Medical Imaging

Publications

Ruwan B. Tennakoon, Gerda Bortsova, Silas Nyboe Ørting, Amirali K. Gostar, Mathilde M. W. Wille, Zaigham Saghir, Reza Hoseinnezhad, Marleen de Bruijne, Alireza Bab-Hadiashar
Classification of Volumetric Images Using Multi-Instance Learning and Extreme Value Theorem. IEEE Trans. Medical Imaging 39 (4) (2020)
Silas Nyboe Ørting, Jens Petersen, Laura H. Thomsen, Mathilde M. W. Wille, Marleen de Bruijne
Learning to Quantify Emphysema Extent: What Labels Do We Need? IEEE J. Biomed. Health Informatics 24 (4) (2020)
Silas Nyboe Ørting, Jens Petersen, Laura H. Thomsen, Mathilde M. W. Wille, Marleen de Bruijne
Detecting emphysema with multiple instance learning. ISBI (2018)
Silas Nyboe Ørting, Jens Petersen, Laura H. Thomsen, Mathilde M. W. Wille, Marleen de Bruijne
Learning to quantify emphysema extent: What labels do we need? CoRR (2018)
Silas Nyboe Ørting, Jens Petersen, Veronika Cheplygina, Laura H. Thomsen, Mathilde M. W. Wille, Marleen de Bruijne
Feature learning based on visual similarity triplets in medical image analysis: A case study of emphysema in chest CT scans. CoRR (2018)
Gerda Bortsova, Florian Dubost, Silas N. Ørting, Ioannis Katramados, Laurens Hogeweg, Laura H. Thomsen, Mathilde M. W. Wille, Marleen de Bruijne
Deep Learning from Label Proportions for Emphysema Quantification. MICCAI (2) (2018)
Silas Nyboe Ørting, Jens Petersen, Veronika Cheplygina, Laura H. Thomsen, Mathilde M. W. Wille, Marleen de Bruijne
Feature Learning Based on Visual Similarity Triplets in Medical Image Analysis: A Case Study of Emphysema in Chest CT Scans. CVII-STENT/LABELS@MICCAI (2018)
Gerda Bortsova, Florian Dubost, Silas N. Ørting, Ioannis Katramados, Laurens Hogeweg, Laura H. Thomsen, Mathilde M. W. Wille, Marleen de Bruijne
Deep Learning from Label Proportions for Emphysema Quantification. CoRR (2018)
Silas Nyboe Ørting, Veronika Cheplygina, Jens Petersen, Laura H. Thomsen, Mathilde M. W. Wille, Marleen de Bruijne
Crowdsourced Emphysema Assessment. CVII-STENT/LABELS@MICCAI (2017)
Francesco Ciompi, Kaman Chung, Sarah J. van Riel, Arnaud Arindra Adiyoso Setio, Paul K. Gerke, Colin Jacobs, Ernst Th. Scholten, Cornelia Schaefer-Prokop, Mathilde M. W. Wille, Alfonso Marchiano, Ugo Pastorino, Mathias Prokop, Bram van Ginneken
Towards automatic pulmonary nodule management in lung cancer screening with deep learning. CoRR (2016)
Francesco Ciompi, Colin Jacobs, Ernst Th. Scholten, Sarah J. van Riel, Mathilde M. W. Wille, Mathias Prokop, Bram van Ginneken
Automatic detection of spiculation of pulmonary nodules in computed tomography images. Medical Imaging: Computer-Aided Diagnosis (2015)
Francesco Ciompi, Colin Jacobs, Ernst Th. Scholten, Mathilde M. W. Wille, Pim A. de Jong, Mathias Prokop, Bram van Ginneken
Bag-of-Frequencies: A Descriptor of Pulmonary Nodules in Computed Tomography Images. IEEE Trans. Medical Imaging 34 (4) (2015)
Aasa Feragen, Megan Owen, Jens Petersen, Mathilde M. W. Wille, Laura H. Thomsen, Asger Dirksen, Marleen de Bruijne
Tree-Space Statistics and Approximations for Large-Scale Analysis of Anatomical Trees. IPMI (2013)
Aasa Feragen, Jens Petersen, Megan Owen, Pechin Lo, Laura H. Thomsen, Mathilde M. W. Wille, Asger Dirksen, Marleen de Bruijne
A Hierarchical Scheme for Geodesic Anatomical Labeling of Airway Trees. MICCAI (3) (2012)