Gerda Bortsova

Publication Activity (10 Years)

Years Active: 2012-2022
Publications (10 Years): 27

Top Topics

Weakly Supervised

Medical Image Segmentation

Top Venues

Medical Image Anal.

Publications

Soumick Chatterjee, Kartik Prabhu, Mahantesh Pattadkal, Gerda Bortsova, Chompunuch Sarasaen, Florian Dubost, Hendrik Mattern, Marleen de Bruijne, Oliver Speck, Andreas Nürnberger
DS6, Deformation-Aware Semi-Supervised Learning: Application to Small Vessel Segmentation with Noisy Training Data. J. Imaging 8 (10) (2022)
Gerda Bortsova, Daniel Bos, Florian Dubost, Meike W. Vernooij, M. Kamran Ikram, Gijs van Tulder, Marleen de Bruijne
Automated Segmentation and Volume Measurement of Intracranial Carotid Artery Calcification on Non-Contrast CT. CoRR (2021)
Gerda Bortsova, Cristina González-Gonzalo, Suzanne C. Wetstein, Florian Dubost, Ioannis Katramados, Laurens Hogeweg, Bart Liefers, Bram van Ginneken, Josien P. W. Pluim, Mitko Veta, Clara I. Sánchez, Marleen de Bruijne
Adversarial attack vulnerability of medical image analysis systems: Unexplored factors. Medical Image Anal. 73 (2021)
Gerda Bortsova, Florian Dubost, Laurens Hogeweg, Ioannis Katramados, Marleen de Bruijne
Adversarial Heart Attack: Neural Networks Fooled to Segment Heart Symbols in Chest X-Ray Images. CoRR (2021)
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)
Soumick Chatterjee, Kartik Prabhu, Mahantesh Pattadkal, Gerda Bortsova, Florian Dubost, Hendrik Mattern, Marleen de Bruijne, Oliver Speck, Andreas Nürnberger
DS6: Deformation-aware learning for small vessel segmentation with small, imperfectly labeled dataset. CoRR (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
Adversarial Attack Vulnerability of Medical Image Analysis Systems: Unexplored Factors. CoRR (2020)
Florian Dubost, Hieab Adams, Pinar Yilmaz, Gerda Bortsova, Gijs van Tulder, Mohammad Arfan Ikram, Wiro J. Niessen, Meike W. Vernooij, Marleen de Bruijne
Weakly supervised object detection with 2D and 3D regression neural networks. Medical Image Anal. 65 (2020)
Gerda Bortsova, Florian Dubost, Laurens Hogeweg, Ioannis Katramados, Marleen de Bruijne
Semi-Supervised Medical Image Segmentation via Learning Consistency under Transformations. CoRR (2019)
Florian Dubost, Pinar Yilmaz, Hieab H. Adams, Gerda Bortsova, Mohammad Arfan Ikram, Wiro J. Niessen, Meike W. Vernooij, Marleen de Bruijne
Enlarged perivascular spaces in brain MRI: Automated quantification in four regions. NeuroImage 185 (2019)
Florian Dubost, Hieab H. Adams, Pinar Yilmaz, Gerda Bortsova, Gijs van Tulder, Mohammad Arfan Ikram, Wiro J. Niessen, Meike W. Vernooij, Marleen de Bruijne
Weakly Supervised Object Detection with 2D and 3D Regression Neural Networks. CoRR (2019)
Florian Dubost, Hieab H. Adams, Gerda Bortsova, Mohammad Arfan Ikram, Wiro J. Niessen, Meike W. Vernooij, Marleen de Bruijne
3D regression neural network for the quantification of enlarged perivascular spaces in brain MRI. Medical Image Anal. 51 (2019)
Gerda Bortsova, Florian Dubost, Laurens Hogeweg, Ioannis Katramados, Marleen de Bruijne
Semi-supervised Medical Image Segmentation via Learning Consistency Under Transformations. MICCAI (6) (2019)
Shuai Chen, Gerda Bortsova, Antonio García-Uceda Juárez, Gijs van Tulder, Marleen de Bruijne
Multi-task Attention-Based Semi-supervised Learning for Medical Image Segmentation. MICCAI (3) (2019)
Shuai Chen, Gerda Bortsova, Antonio Garcia-Uceda Juarez, Gijs van Tulder, Marleen de Bruijne
Multi-Task Attention-Based Semi-Supervised Learning for Medical Image Segmentation. CoRR (2019)
Florian Dubost, Gerda Bortsova, Hieab H. Adams, Mohammad Arfan Ikram, Wiro J. Niessen, Meike W. Vernooij, Marleen de Bruijne
Hydranet: Data Augmentation for Regression Neural Networks. MICCAI (4) (2019)
Florian Dubost, Benjamin Collery, Antonin Renaudier, Axel Roc, Nicolas Posocco, Gerda Bortsova, Wiro J. Niessen, Marleen de Bruijne
Automated Estimation of the Spinal Curvature via Spine Centerline Extraction with Ensembles of Cascaded Neural Networks. CoRR (2019)
Florian Dubost, Gerda Bortsova, Hieab H. Adams, Mohammad Arfan Ikram, Wiro J. Niessen, Meike W. Vernooij, Marleen de Bruijne
Hydranet: Data Augmentation for Regression Neural Networks. CoRR (2018)
Florian Dubost, Hieab H. Adams, Gerda Bortsova, Mohammad Arfan Ikram, Wiro J. Niessen, Meike W. Vernooij, Marleen de Bruijne
3D Regression Neural Network for the Quantification of Enlarged Perivascular Spaces in Brain MRI. 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)
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)
Florian Dubost, Gerda Bortsova, Hieab H. Adams, Mohammad Arfan Ikram, Wiro J. Niessen, Meike W. Vernooij, Marleen de Bruijne
GP-Unet: Lesion Detection from Weak Labels with a 3D Regression Network. MICCAI (3) (2017)
Gerda Bortsova, Gijs van Tulder, Florian Dubost, Tingying Peng, Nassir Navab, Aad van der Lugt, Daniel Bos, Marleen de Bruijne
Segmentation of Intracranial Arterial Calcification with Deeply Supervised Residual Dropout Networks. MICCAI (3) (2017)
Gerda Bortsova, Gijs van Tulder, Florian Dubost, Tingying Peng, Nassir Navab, Aad van der Lugt, Daniel Bos, Marleen de Bruijne
Segmentation of Intracranial Arterial Calcification with Deeply Supervised Residual Dropout Networks. CoRR (2017)
Florian Dubost, Gerda Bortsova, Hieab H. Adams, Mohammad Arfan Ikram, Wiro J. Niessen, Meike W. Vernooij, Marleen de Bruijne
GP-Unet: Lesion Detection from Weak Labels with a 3D Regression Network. CoRR (2017)
Gerda Bortsova, Michael Sterr, Lichao Wang, Fausto Milletari, Nassir Navab, Anika Böttcher, Heiko Lickert, Fabian J. Theis, Tingying Peng
Mitosis Detection in Intestinal Crypt Images with Hough Forest and Conditional Random Fields. MLMI@MICCAI (2016)
Gerda Bortsova, Michael Sterr, Lichao Wang, Fausto Milletari, Nassir Navab, Anika Böttcher, Heiko Lickert, Fabian J. Theis, Tingying Peng
Mitosis Detection in Intestinal Crypt Images with Hough Forest and Conditional Random Fields. CoRR (2016)
Gerda Bortsova, Pakizar Shamoi
Derivation of Complex Linguistic Summaries from Databases for a More Human Consistent Data Analysis. MAICS (2014)
Kanat T. Kozhakhmet, Gerda Bortsova, Atsushi Inoue, Lyazzat Atymtayeva
Expert System for Security Audit Using Fuzzy Logic. MAICS (2012)