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Automated Segmentation and Volume Measurement of Intracranial Carotid Artery Calcification on Non-Contrast CT


Jul 20, 2021
Gerda Bortsova, Daniel Bos, Florian Dubost, Meike W. Vernooij, M. Kamran Ikram, Gijs van Tulder, Marleen de Bruijne

* Accepted for publication in Radiology: Artificial Intelligence (https://pubs.rsna.org/journal/ai), which is published by the Radiological Society of North America (RSNA) 

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Double Descent Optimization Pattern and Aliasing: Caveats of Noisy Labels


Jun 03, 2021
Florian Dubost, Khaled Kamal Saab, Erin Hong, Daniel Yang Fu, Max Pike, Siddharth Sharma, Siyi Tang, Nandita Bhaskhar, Christopher Lee-Messer, Daniel Rubin


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Automated Seizure Detection and Seizure Type Classification From Electroencephalography With a Graph Neural Network and Self-Supervised Pre-Training


Apr 16, 2021
Siyi Tang, Jared A. Dunnmon, Khaled Saab, Xuan Zhang, Qianying Huang, Florian Dubost, Daniel L. Rubin, Christopher Lee-Messer


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Adversarial Heart Attack: Neural Networks Fooled to Segment Heart Symbols in Chest X-Ray Images


Apr 07, 2021
Gerda Bortsova, Florian Dubost, Laurens Hogeweg, Ioannis Katramados, Marleen de Bruijne


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State-of-the-art segmentation network fooled to segment a heart symbol in chest X-Ray images


Mar 31, 2021
Gerda Bortsova, Florian Dubost, Laurens Hogeweg, Ioannis Katramados, Marleen de Bruijne


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Inaccurate Supervision of Neural Networks with Incorrect Labels: Application to Epilepsy


Dec 01, 2020
Florian Dubost, Erin Hong, Daniel Y Fu, Nandita Bhaskhar, Siyi Tang, Khaled Saab, Jared Dunnmon, Daniel Rubin, Christopher Lee-Messer


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DS6: Deformation-aware learning for small vessel segmentation with small, imperfectly labeled dataset


Jun 18, 2020
Soumick Chatterjee, Kartik Prabhu, Mahantesh Pattadkal, Gerda Bortsova, Florian Dubost, Hendrik Mattern, Marleen de Bruijne, Oliver Speck, Andreas N├╝rnberger


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Adversarial Attack Vulnerability of Medical Image Analysis Systems: Unexplored Factors


Jun 12, 2020
Suzanne C. Wetstein, Cristina González-Gonzalo, Gerda Bortsova, Bart Liefers, Florian Dubost, Ioannis Katramados, Laurens Hogeweg, Bram van Ginneken, Josien P. W. Pluim, Marleen de Bruijne, Clara I. Sánchez, Mitko Veta

* First three authors contributed equally 

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Spectral Data Augmentation Techniques to quantify Lung Pathology from CT-images


Apr 24, 2020
Subhradeep Kayal, Florian Dubost, Harm A. W. M. Tiddens, Marleen de Bruijne

* 5 pages including references, accepted as Oral presentation at IEEE ISBI 2020 

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When Weak Becomes Strong: Robust Quantification of White Matter Hyperintensities in Brain MRI scans


Apr 12, 2020
Oliver Werner, Kimberlin M. H. van Wijnen, Wiro J. Niessen, Marius de Groot, Meike W. Vernooij, Florian Dubost, Marleen de Bruijne

* 11 pages, 3 figures 

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Automated Estimation of the Spinal Curvature via Spine Centerline Extraction with Ensembles of Cascaded Neural Networks


Dec 11, 2019
Florian Dubost, Benjamin Collery, Antonin Renaudier, Axel Roc, Nicolas Posocco, Gerda Bortsova, Wiro Niessen, Marleen de Bruijne


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Semi-Supervised Medical Image Segmentation via Learning Consistency under Transformations


Nov 04, 2019
Gerda Bortsova, Florian Dubost, Laurens Hogeweg, Ioannis Katramados, Marleen de Bruijne

* In proceedings of Medical Image Computing and Computer Assisted Intervention - MICCAI 2019 

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APIR-Net: Autocalibrated Parallel Imaging Reconstruction using a Neural Network


Sep 19, 2019
Chaoping Zhang, Florian Dubost, Marleen de Bruijne, Stefan Klein, Dirk H. J. Poot

* To appear in the proceedings of MICCAI 2019 Workshop Machine Learning for Medical Image Reconstruction 

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Automated Lesion Detection by Regressing Intensity-Based Distance with a Neural Network


Jul 29, 2019
Kimberlin M. H. van Wijnen, Florian Dubost, Pinar Yilmaz, M. Arfan Ikram, Wiro J. Niessen, Hieab Adams, Meike W. Vernooij, Marleen de Bruijne

* MICCAI 2019 

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Patient-specific Conditional Joint Models of Shape, Image Features and Clinical Indicators


Jul 17, 2019
Bernhard Egger, Markus D. Schirmer, Florian Dubost, Marco J. Nardin, Natalia S. Rost, Polina Golland

* MICCAI 2019, the 22nd International Conference on Medical Image Computing and Computer Assisted Intervention, in Shenzhen, China 
* Supplementary material: https://www.youtube.com/watch?v=gPoHP_iFQIA 

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Automated Image Registration Quality Assessment Utilizing Deep-learning based Ventricle Extraction in Clinical Data


Jul 01, 2019
Florian Dubost, Marleen de Bruijne, Marco Nardin, Adrian V. Dalca, Kathleen L. Donahue, Anne-Katrin Giese, Mark R. Etherton, Ona Wu, Marius de Groot, Wiro Niessen, Meike Vernooij, Natalia S. Rost, Markus D. Schirmer


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Weakly Supervised Object Detection with 2D and 3D Regression Neural Networks


Jun 14, 2019
Florian Dubost, Hieab Adams, Pinar Yilmaz, Gerda Bortsova, Gijs van Tulder, M. Arfan Ikram, Wiro Niessen, Meike Vernooij, Marleen de Bruijne

* New version. Correction of Figure 9. Wrong order and name of methods 

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Event-Based Modeling with High-Dimensional Imaging Biomarkers for Estimating Spatial Progression of Dementia


Mar 08, 2019
Vikram Venkatraghavan, Florian Dubost, Esther E. Bron, Wiro J. Niessen, Marleen de Bruijne, Stefan Klein

* IPMI 2019 

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3D Regression Neural Network for the Quantification of Enlarged Perivascular Spaces in Brain MRI


Oct 28, 2018
Florian Dubost, Hieab Adams, Gerda Bortsova, M. Arfan Ikram, Wiro Niessen, Meike Vernooij, Marleen de Bruijne


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Deep Learning from Label Proportions for Emphysema Quantification


Jul 23, 2018
Gerda Bortsova, Florian Dubost, Silas ├śrting, Ioannis Katramados, Laurens Hogeweg, Laura Thomsen, Mathilde Wille, Marleen de Bruijne

* Accepted to MICCAI 2018 

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Hydranet: Data Augmentation for Regression Neural Networks


Jul 12, 2018
Florian Dubost, Gerda Bortsova, Hieab Adams, M. Arfan Ikram, Wiro Niessen, Meike Vernooij, Marleen de Bruijne


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Quantification of Lung Abnormalities in Cystic Fibrosis using Deep Networks


Mar 21, 2018
Filipe Marques, Florian Dubost, Mariette Kemner-van de Corput, Harm A. W. Tiddens, Marleen de Bruijne

* Proc. SPIE 10574, Medical Imaging 2018: Image Processing, 105741G (2 March 2018) 
* SPIE - Medical Imaging 2018: Image Processing 

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GP-Unet: Lesion Detection from Weak Labels with a 3D Regression Network


Oct 30, 2017
Florian Dubost, Gerda Bortsova, Hieab Adams, Arfan Ikram, Wiro Niessen, Meike Vernooij, Marleen De Bruijne

* Article published in MICCAI 2017. We corrected a few errors from the first version: padding, loss, typos and update of the DOI number 

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Segmentation of Intracranial Arterial Calcification with Deeply Supervised Residual Dropout Networks


Jun 04, 2017
Gerda Bortsova, Gijs van Tulder, Florian Dubost, Tingying Peng, Nassir Navab, Aad van der Lugt, Daniel Bos, Marleen de Bruijne

* Accepted for MICCAI 2017 

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Hands-Free Segmentation of Medical Volumes via Binary Inputs


Sep 20, 2016
Florian Dubost, Loic Peter, Christian Rupprecht, Benjamin Gutierrez-Becker, Nassir Navab


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