Alexander Oliver Mader

Using web images as additional training resource for the discriminative generalized hough transform

Hauke Schramm, Alexander Oliver Mader, Carsten Meyer, 2016, 2016 Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA).

A General Framework for Localizing and Locally Segmenting Correlated Objects: A Case Study on Intervertebral Discs in Multi-modality MR Images

Cristian Lorenz, Alexander Oliver Mader, Carsten Meyer, 2019, MIUA.

Detection and localization of spatially correlated point landmarks in medical images using an automatically learned conditional random field

Cristian Lorenz, Jens von Berg, Hauke Schramm, 2018, Comput. Vis. Image Underst..

A Novel Approach to Handle Inference in Discrete Markov Networks with Large Label Sets

Cristian Lorenz, Jens von Berg, Alexander Oliver Mader, 2018, PGM.

Efficient Epiphyses Localization Using Regression Tree Ensembles and a Conditional Random Field

Hauke Schramm, Alexander Oliver Mader, Carsten Meyer, 2017, Bildverarbeitung für die Medizin.

Automatically Localizing a Large Set of Spatially Correlated Key Points: A Case Study in Spine Imaging

Cristian Lorenz, Jens von Berg, Alexander Oliver Mader, 2019, MICCAI.

Localization and Labeling of Posterior Ribs in Chest Radiographs Using a CRF-regularized FCN with Local Refinement

Cristian Lorenz, Jens von Berg, Alexander Oliver Mader, 2018, MICCAI.

Assessing Attribution Maps for Explaining CNN-Based Vertebral Fracture Classifiers

Alexander Oliver Mader, Carsten Meyer, Eren Bora Yilmaz, 2020, iMIMIC/MIL3iD/LABELS@MICCAI.

Detection and Localization of Landmarks in the Lower Extremities Using an Automatically Learned Conditional Random Field

Cristian Lorenz, Jens von Berg, Hauke Schramm, 2017, GRAIL/MFCA/MICGen@MICCAI.