Search Results for author: Darko Štern

Found 4 papers, 2 papers with code

Instance Segmentation and Tracking with Cosine Embeddings and Recurrent Hourglass Networks

no code implementations6 Jun 2018 Christian Payer, Darko Štern, Thomas Neff, Horst Bischof, Martin Urschler

Furthermore, we train the network with a novel embedding loss based on cosine similarities, such that the network predicts unique embeddings for every instance throughout videos.

Instance Segmentation Segmentation +1

Integrating Spatial Configuration into Heatmap Regression Based CNNs for Landmark Localization

3 code implementations2 Aug 2019 Christian Payer, Darko Štern, Horst Bischof, Martin Urschler

In many medical image analysis applications, often only a limited amount of training data is available, which makes training of convolutional neural networks (CNNs) challenging.

regression

Variational Inference and Bayesian CNNs for Uncertainty Estimation in Multi-Factorial Bone Age Prediction

no code implementations25 Feb 2020 Stefan Eggenreich, Christian Payer, Martin Urschler, Darko Štern

Additionally to the extensive use in clinical medicine, biological age (BA) in legal medicine is used to assess unknown chronological age (CA) in applications where identification documents are not available.

Age Estimation Variational Inference

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