Alexander Oliver Mader

According to our database1, Alexander Oliver Mader authored at least 10 papers between 2016 and 2021.

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

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

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Bibliography

2021
Automatic Localization of Spatially Correlated Key Points in Medical Images
PhD thesis, 2021

2020
Assessing Attribution Maps for Explaining CNN-Based Vertebral Fracture Classifiers.
Proceedings of the Interpretable and Annotation-Efficient Learning for Medical Image Computing, 2020

2019
A General Framework for Localizing and Locally Segmenting Correlated Objects: A Case Study on Intervertebral Discs in Multi-modality MR Images.
Proceedings of the Medical Image Understanding and Analysis - 23rd Conference, 2019

Automatically Localizing a Large Set of Spatially Correlated Key Points: A Case Study in Spine Imaging.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2018
Detection and localization of spatially correlated point landmarks in medical images using an automatically learned conditional random field.
Comput. Vis. Image Underst., 2018

A Novel Approach to Handle Inference in Discrete Markov Networks with Large Label Sets.
Proceedings of the International Conference on Probabilistic Graphical Models, 2018

Localization and Labeling of Posterior Ribs in Chest Radiographs Using a CRF-regularized FCN with Local Refinement.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

2017
Detection and Localization of Landmarks in the Lower Extremities Using an Automatically Learned Conditional Random Field.
Proceedings of the Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics, 2017

Efficient Epiphyses Localization Using Regression Tree Ensembles and a Conditional Random Field.
Proceedings of the Bildverarbeitung für die Medizin 2017 - Algorithmen - Systeme, 2017

2016
Using web images as additional training resource for the discriminative generalized hough transform.
Proceedings of the Sixth International Conference on Image Processing Theory, 2016


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