Search Results for author: Georg Langs

Found 25 papers, 6 papers with code

Spatio-temporal motion correction and iterative reconstruction of in-utero fetal fMRI

no code implementations17 Sep 2022 Athena Taymourtash, Hamza Kebiri, Ernst Schwartz, Karl-Heinz Nenning, Sebastien Tourbier, Gregor Kasprian, Daniela Prayer, Meritxell Bach Cuadra, Georg Langs

Resting-state functional Magnetic Resonance Imaging (fMRI) is a powerful imaging technique for studying functional development of the brain in utero.

Motion Correction and Volumetric Reconstruction for Fetal Functional Magnetic Resonance Imaging Data

1 code implementation11 Feb 2022 Daniel Sobotka, Michael Ebner, Ernst Schwartz, Karl-Heinz Nenning, Athena Taymourtash, Tom Vercauteren, Sebastien Ourselin, Gregor Kasprian, Daniela Prayer, Georg Langs, Roxane Licandro

Here, we propose a novel framework, which estimates a high-resolution reference volume by using outlier-robust motion correction, and by utilizing Huber L2 regularization for intra-stack volumetric reconstruction of the motion-corrected fetal brain fMRI.

L2 Regularization Motion Estimation +2

Pseudo-domains in imaging data improve prediction of future disease status in multi-center studies

no code implementations15 Nov 2021 Matthias Perkonigg, Peter Mesenbrink, Alexander Goehler, Miljen Martic, Ahmed Ba-Ssalamah, Georg Langs

In multi-center randomized clinical trials imaging data can be diverse due to acquisition technology or scanning protocols.

The Effects of Skin Lesion Segmentation on the Performance of Dermatoscopic Image Classification

1 code implementation28 Aug 2020 Amirreza Mahbod, Philipp Tschandl, Georg Langs, Rupert Ecker, Isabella Ellinger

In this study, we explicitly investigated the impact of using skin lesion segmentation masks on the performance of dermatoscopic image classification.

Binary Classification Classification +6

Dynamic memory to alleviate catastrophic forgetting in continuous learning settings

no code implementations6 Jul 2020 Johannes Hofmanninger, Matthias Perkonigg, James A. Brink, Oleg Pianykh, Christian Herold, Georg Langs

In medical imaging, technical progress or changes in diagnostic procedures lead to a continuous change in image appearance.

Unsupervised deep clustering for predictive texture pattern discovery in medical images

no code implementations31 Jan 2020 Matthias Perkonigg, Daniel Sobotka, Ahmed Ba-Ssalamah, Georg Langs

Predictive marker patterns in imaging data are a means to quantify disease and progression, but their identification is challenging, if the underlying biology is poorly understood.

Clustering Deep Clustering

Exploiting Epistemic Uncertainty of Anatomy Segmentation for Anomaly Detection in Retinal OCT

no code implementations29 May 2019 Philipp Seeböck, José Ignacio Orlando, Thomas Schlegl, Sebastian M. Waldstein, Hrvoje Bogunović, Sophie Klimscha, Georg Langs, Ursula Schmidt-Erfurth

We propose to take advantage of this property using bayesian deep learning, based on the assumption that epistemic uncertainties will correlate with anatomical deviations from a normal training set.

Anatomy Anomaly Detection

Using CycleGANs for effectively reducing image variability across OCT devices and improving retinal fluid segmentation

no code implementations24 Jan 2019 Philipp Seeböck, David Romo-Bucheli, Sebastian Waldstein, Hrvoje Bogunović, José Ignacio Orlando, Bianca S. Gerendas, Georg Langs, Ursula Schmidt-Erfurth

Among the several sources of variability the ML models have to deal with, a major factor is the acquisition device, which can limit the ML model's generalizability.

Keypoint Transfer for Fast Whole-Body Segmentation

no code implementations22 Jun 2018 Christian Wachinger, Matthew Toews, Georg Langs, William Wells, Polina Golland

We introduce an approach for image segmentation based on sparse correspondences between keypoints in testing and training images.

Image Segmentation Segmentation +1

Identifying and Categorizing Anomalies in Retinal Imaging Data

no code implementations2 Dec 2016 Philipp Seeböck, Sebastian Waldstein, Sophie Klimscha, Bianca S. Gerendas, René Donner, Thomas Schlegl, Ursula Schmidt-Erfurth, Georg Langs

The identification and quantification of markers in medical images is critical for diagnosis, prognosis and management of patients in clinical practice.

Clustering Management

Mapping Visual Features to Semantic Profiles for Retrieval in Medical Imaging

no code implementations CVPR 2015 Johannes Hofmanninger, Georg Langs

We show that these semantic profiles enable higher recall and precision during retrieval compared to visual features, and that we can even map semantic terms describing clinical findings from radiology reports to localized image volume areas.

Content-Based Image Retrieval Retrieval

Functional Geometry Alignment and Localization of Brain Areas

no code implementations NeurIPS 2010 Georg Langs, Yanmei Tie, Laura Rigolo, Alexandra Golby, Polina Golland

This advantage is pronounced for subjects with tumors that affect the language areas and thus cause spatial reorganization of the functional regions.

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