Mathilde M. W. Wille

14 papers Journal 7Unranked 7

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