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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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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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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 NĂŒrnberger


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Adversarial Attack Vulnerability of Medical Image Analysis Systems: Unexplored Factors


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

* First three authors contributed equally 

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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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Multi-Task Attention-Based Semi-Supervised Learning for Medical Image Segmentation


Jul 29, 2019
Shuai Chen, Gerda Bortsova, Antonio Garcia-Uceda Juarez, Gijs van Tulder, Marleen de Bruijne

* Accepted at MICCAI 2019 

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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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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 Ørting, 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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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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Mitosis Detection in Intestinal Crypt Images with Hough Forest and Conditional Random Fields


Aug 26, 2016
Gerda Bortsova, Michael Sterr, Lichao Wang, Fausto Milletari, Nassir Navab, Anika Böttcher, Heiko Lickert, Fabian Theis, Tingying Peng

* Accepted at the 7th International Conference on Machine Learning in Medical Imaging 

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