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Alexander Oliver Mader
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2020 – today
- 2021
- [b1]Alexander Oliver Mader:
Automatic Localization of Spatially Correlated Key Points in Medical Images. Kiel University, Germany, 2021 - 2020
- [c8]Eren Bora Yilmaz, Alexander Oliver Mader, Tobias Fricke, Jaime Peña, Claus-Christian Glüer, Carsten Meyer:
Assessing Attribution Maps for Explaining CNN-Based Vertebral Fracture Classifiers. iMIMIC/MIL3ID/LABELS@MICCAI 2020: 3-12
2010 – 2019
- 2019
- [c7]Alexander Oliver Mader, Cristian Lorenz, Jens von Berg, Carsten Meyer:
Automatically Localizing a Large Set of Spatially Correlated Key Points: A Case Study in Spine Imaging. MICCAI (6) 2019: 384-392 - [c6]Alexander Oliver Mader, Cristian Lorenz, Carsten Meyer:
A General Framework for Localizing and Locally Segmenting Correlated Objects: A Case Study on Intervertebral Discs in Multi-modality MR Images. MIUA 2019: 364-376 - 2018
- [j1]Alexander Oliver Mader, Cristian Lorenz, Martin Bergtholdt, Jens von Berg, Hauke Schramm, Jan Modersitzki, Carsten Meyer:
Detection and localization of spatially correlated point landmarks in medical images using an automatically learned conditional random field. Comput. Vis. Image Underst. 176-177: 45-53 (2018) - [c5]Alexander Oliver Mader, Jens von Berg, Alexander Fabritz, Cristian Lorenz, Carsten Meyer:
Localization and Labeling of Posterior Ribs in Chest Radiographs Using a CRF-regularized FCN with Local Refinement. MICCAI (2) 2018: 562-570 - [c4]Alexander Oliver Mader, Jens von Berg, Cristian Lorenz, Carsten Meyer:
A Novel Approach to Handle Inference in Discrete Markov Networks with Large Label Sets. PGM 2018: 249-259 - 2017
- [c3]Alexander Oliver Mader, Hauke Schramm, Carsten Meyer:
Efficient Epiphyses Localization Using Regression Tree Ensembles and a Conditional Random Field. Bildverarbeitung für die Medizin 2017: 179-184 - [c2]Alexander Oliver Mader, Cristian Lorenz, Martin Bergtholdt, Jens von Berg, Hauke Schramm, Jan Modersitzki, Carsten Meyer:
Detection and Localization of Landmarks in the Lower Extremities Using an Automatically Learned Conditional Random Field. GRAIL/MFCA/MICGen@MICCAI 2017: 64-75 - 2016
- [c1]Alexander Oliver Mader, Hauke Schramm, Carsten Meyer:
Using web images as additional training resource for the discriminative generalized hough transform. IPTA 2016: 1-6
Coauthor Index
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