Gerda Bortsova

Orcid: 0000-0002-7614-8437

According to our database1, Gerda Bortsova authored at least 22 papers between 2012 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2022
DS6, Deformation-Aware Semi-Supervised Learning: Application to Small Vessel Segmentation with Noisy Training Data.
J. Imaging, 2022

2021
Adversarial attack vulnerability of medical image analysis systems: Unexplored factors.
Medical Image Anal., 2021

Automated Segmentation and Volume Measurement of Intracranial Carotid Artery Calcification on Non-Contrast CT.
CoRR, 2021

Adversarial Heart Attack: Neural Networks Fooled to Segment Heart Symbols in Chest X-Ray Images.
CoRR, 2021

2020
Classification of Volumetric Images Using Multi-Instance Learning and Extreme Value Theorem.
IEEE Trans. Medical Imaging, 2020

Weakly supervised object detection with 2D and 3D regression neural networks.
Medical Image Anal., 2020

DS6: Deformation-aware learning for small vessel segmentation with small, imperfectly labeled dataset.
CoRR, 2020

2019
Enlarged perivascular spaces in brain MRI: Automated quantification in four regions.
NeuroImage, 2019

3D regression neural network for the quantification of enlarged perivascular spaces in brain MRI.
Medical Image Anal., 2019

Automated Estimation of the Spinal Curvature via Spine Centerline Extraction with Ensembles of Cascaded Neural Networks.
CoRR, 2019

Weakly Supervised Object Detection with 2D and 3D Regression Neural Networks.
CoRR, 2019

Hydranet: Data Augmentation for Regression Neural Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Multi-task Attention-Based Semi-supervised Learning for Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Semi-supervised Medical Image Segmentation via Learning Consistency Under Transformations.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2018
Deep Learning from Label Proportions for Emphysema Quantification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

2017
GP-Unet: Lesion Detection from Weak Labels with a 3D Regression Network.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Segmentation of Intracranial Arterial Calcification with Deeply Supervised Residual Dropout Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

2016
Mitosis Detection in Intestinal Crypt Images with Hough Forest and Conditional Random Fields.
Proceedings of the Machine Learning in Medical Imaging - 7th International Workshop, 2016

2014
Building a Knowledge Base for Expert System in Information Security.
Proceedings of the Soft Computing in Artificial Intelligence, 2014

Derivation of Complex Linguistic Summaries from Databases for a More Human Consistent Data Analysis.
Proceedings of the 25th Modern Artificial Intelligence and Cognitive Science Conference 2014, 2014

2012
Methodology and ontology of expert system for information security audit.
Proceedings of the 6th International Conference on Soft Computing and Intelligent Systems (SCIS), 2012

Expert System for Security Audit Using Fuzzy Logic.
Proceedings of the 23rd Midwest Artificial Intelligence and Cognitive Science Conference 2012, 2012


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