Jens Petersen

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Common Limitations of Image Processing Metrics: A Picture Story

While the importance of automatic image analysis is increasing at an eno...
04/12/2021 ∙ by Annika Reinke, et al. ∙ 6 ∙ share

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Segmenting two-dimensional structures with strided tensor networks

Tensor networks provide an efficient approximation of operations involvi...
02/13/2021 ∙ by Raghavendra Selvan, et al. ∙ 0 ∙ share

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A Case for the Score: Identifying Image Anomalies using Variational Autoencoder Gradients

Through training on unlabeled data, anomaly detection has the potential ...
11/28/2019 ∙ by David Zimmerer, et al. ∙ 0 ∙ share

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High- and Low-level image component decomposition using VAEs for improved reconstruction and anomaly detection

Variational Auto-Encoders have often been used for unsupervised pretrain...
11/27/2019 ∙ by David Zimmerer, et al. ∙ 14 ∙ share

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Deep Probabilistic Modeling of Glioma Growth

Existing approaches to modeling the dynamics of brain tumor growth, spec...
07/09/2019 ∙ by Jens Petersen, et al. ∙ 1 ∙ share

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Unsupervised Anomaly Localization using Variational Auto-Encoders

An assumption-free automatic check of medical images for potentially ove...
07/04/2019 ∙ by David Zimmerer, et al. ∙ 0 ∙ share

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nnU-Net: Breaking the Spell on Successful Medical Image Segmentation

Fueled by the diversity of datasets, semantic segmentation is a popular ...
04/17/2019 ∙ by Fabian Isensee, et al. ∙ 0 ∙ share

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A cross-center smoothness prior for variational Bayesian brain tissue segmentation

Suppose one is faced with the challenge of tissue segmentation in MR ima...
03/11/2019 ∙ by Wouter M. Kouw, et al. ∙ 0 ∙ share

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Segmentation of Roots in Soil with U-Net

Plant root research can provide a way to attain stress-tolerant crops th...
02/28/2019 ∙ by Abraham George Smith, et al. ∙ 0 ∙ share

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Context-encoding Variational Autoencoder for Unsupervised Anomaly Detection

Unsupervised learning can leverage large-scale data sources without the ...
12/14/2018 ∙ by David Zimmerer, et al. ∙ 0 ∙ share

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Graph Refinement based Tree Extraction using Mean-Field Networks and Graph Neural Networks

Graph refinement, or the task of obtaining subgraphs of interest from ov...
11/21/2018 ∙ by Raghavendra Selvan, et al. ∙ 10 ∙ share

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Learning to quantify emphysema extent: What labels do we need?

Accurate assessment of pulmonary emphysema is crucial to assess disease ...
10/17/2018 ∙ by Silas Nyboe Ørting, et al. ∙ 0 ∙ share

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nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation

The U-Net was presented in 2015. With its straight-forward and successfu...
09/27/2018 ∙ by Fabian Isensee, et al. ∙ 0 ∙ share

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Extracting Tree-structures in CT data by Tracking Multiple Statistically Ranked Hypotheses

In this work, we adapt a method based on multiple hypothesis tracking (M...
06/23/2018 ∙ by Raghavendra Selvan, et al. ∙ 2 ∙ share

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Feature learning based on visual similarity triplets in medical image analysis: A case study of emphysema in chest CT scans

Supervised feature learning using convolutional neural networks (CNNs) c...
06/19/2018 ∙ by Silas Nyboe Ørting, et al. ∙ 12 ∙ share

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Extraction of Airways using Graph Neural Networks

We present extraction of tree structures, such as airways, from image da...
04/12/2018 ∙ by Raghavendra Selvan, et al. ∙ 0 ∙ share

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Mean Field Network based Graph Refinement with application to Airway Tree Extraction

We present tree extraction in 3D images as a graph refinement task, of o...
04/10/2018 ∙ by Raghavendra Selvan, et al. ∙ 0 ∙ share

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Extraction of Airways with Probabilistic State-space Models and Bayesian Smoothing

Segmenting tree structures is common in several image processing applica...
08/07/2017 ∙ by Raghavendra Selvan, et al. ∙ 0 ∙ share

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Extraction of airway trees using multiple hypothesis tracking and template matching

Knowledge of airway tree morphology has important clinical applications ...
11/24/2016 ∙ by Raghavendra Selvan, et al. ∙ 0 ∙ share

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Geometric tree kernels: Classification of COPD from airway tree geometry

Methodological contributions: This paper introduces a family of kernels ...
03/29/2013 ∙ by Aasa Feragen, et al. ∙ 0 ∙ share

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