Alert button
Picture for Georg Langs

Georg Langs

Alert button

Predicting dynamic, motion-related changes in B0 field in the brain at a 7 T MRI using a subject-specific fine-tuned U-net

Apr 17, 2023
Stanislav Motyka, Paul Weiser, Beata Bachrata, Lukas Hingerl, Bernhard Strasser, Gilbert Hangel, Eva Niess, Dario Goranovic, Fabian Niess, Maxim Zaitsev, Simon Daniel Robinson, Georg Langs, Siegfried Trattnig, Wolfgang Bogner

Figure 1 for Predicting dynamic, motion-related changes in B0 field in the brain at a 7 T MRI using a subject-specific fine-tuned U-net
Figure 2 for Predicting dynamic, motion-related changes in B0 field in the brain at a 7 T MRI using a subject-specific fine-tuned U-net
Figure 3 for Predicting dynamic, motion-related changes in B0 field in the brain at a 7 T MRI using a subject-specific fine-tuned U-net
Figure 4 for Predicting dynamic, motion-related changes in B0 field in the brain at a 7 T MRI using a subject-specific fine-tuned U-net
Viaarxiv icon

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

Sep 17, 2022
Athena Taymourtash, Hamza Kebiri, Ernst Schwartz, Karl-Heinz Nenning, Sebastien Tourbier, Gregor Kasprian, Daniela Prayer, Meritxell Bach Cuadra, Georg Langs

Viaarxiv icon

Fetal Brain Tissue Annotation and Segmentation Challenge Results

Apr 20, 2022
Kelly Payette, Hongwei Li, Priscille de Dumast, Roxane Licandro, Hui Ji, Md Mahfuzur Rahman Siddiquee, Daguang Xu, Andriy Myronenko, Hao Liu, Yuchen Pei, Lisheng Wang, Ying Peng, Juanying Xie, Huiquan Zhang, Guiming Dong, Hao Fu, Guotai Wang, ZunHyan Rieu, Donghyeon Kim, Hyun Gi Kim, Davood Karimi, Ali Gholipour, Helena R. Torres, Bruno Oliveira, João L. Vilaça, Yang Lin, Netanell Avisdris, Ori Ben-Zvi, Dafna Ben Bashat, Lucas Fidon, Michael Aertsen, Tom Vercauteren, Daniel Sobotka, Georg Langs, Mireia Alenyà, Maria Inmaculada Villanueva, Oscar Camara, Bella Specktor Fadida, Leo Joskowicz, Liao Weibin, Lv Yi, Li Xuesong, Moona Mazher, Abdul Qayyum, Domenec Puig, Hamza Kebiri, Zelin Zhang, Xinyi Xu, Dan Wu, KuanLun Liao, YiXuan Wu, JinTai Chen, Yunzhi Xu, Li Zhao, Lana Vasung, Bjoern Menze, Meritxell Bach Cuadra, Andras Jakab

Figure 1 for Fetal Brain Tissue Annotation and Segmentation Challenge Results
Figure 2 for Fetal Brain Tissue Annotation and Segmentation Challenge Results
Figure 3 for Fetal Brain Tissue Annotation and Segmentation Challenge Results
Figure 4 for Fetal Brain Tissue Annotation and Segmentation Challenge Results
Viaarxiv icon

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

Feb 11, 2022
Daniel Sobotka, Michael Ebner, Ernst Schwartz, Karl-Heinz Nenning, Athena Taymourtash, Tom Vercauteren, Sebastien Ourselin, Gregor Kasprian, Daniela Prayer, Georg Langs, Roxane Licandro

Figure 1 for Motion Correction and Volumetric Reconstruction for Fetal Functional Magnetic Resonance Imaging Data
Figure 2 for Motion Correction and Volumetric Reconstruction for Fetal Functional Magnetic Resonance Imaging Data
Figure 3 for Motion Correction and Volumetric Reconstruction for Fetal Functional Magnetic Resonance Imaging Data
Figure 4 for Motion Correction and Volumetric Reconstruction for Fetal Functional Magnetic Resonance Imaging Data
Viaarxiv icon

Continual Active Learning Using Pseudo-Domains for Limited Labelling Resources and Changing Acquisition Characteristics

Nov 25, 2021
Matthias Perkonigg, Johannes Hofmanninger, Christian Herold, Helmut Prosch, Georg Langs

Figure 1 for Continual Active Learning Using Pseudo-Domains for Limited Labelling Resources and Changing Acquisition Characteristics
Figure 2 for Continual Active Learning Using Pseudo-Domains for Limited Labelling Resources and Changing Acquisition Characteristics
Figure 3 for Continual Active Learning Using Pseudo-Domains for Limited Labelling Resources and Changing Acquisition Characteristics
Figure 4 for Continual Active Learning Using Pseudo-Domains for Limited Labelling Resources and Changing Acquisition Characteristics
Viaarxiv icon

4D iterative reconstruction of brain fMRI in the moving fetus

Nov 22, 2021
Athena Taymourtash, Hamza Kebiri, Sébastien Tourbier, Ernst Schwartz, Karl-Heinz Nenning, Roxane Licandro, Daniel Sobotka, Hélène Lajous, Priscille de Dumast, Meritxell Bach Cuadra, Georg Langs

Figure 1 for 4D iterative reconstruction of brain fMRI in the moving fetus
Figure 2 for 4D iterative reconstruction of brain fMRI in the moving fetus
Figure 3 for 4D iterative reconstruction of brain fMRI in the moving fetus
Figure 4 for 4D iterative reconstruction of brain fMRI in the moving fetus
Viaarxiv icon

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

Nov 15, 2021
Matthias Perkonigg, Peter Mesenbrink, Alexander Goehler, Miljen Martic, Ahmed Ba-Ssalamah, Georg Langs

Figure 1 for Pseudo-domains in imaging data improve prediction of future disease status in multi-center studies
Figure 2 for Pseudo-domains in imaging data improve prediction of future disease status in multi-center studies
Viaarxiv icon

Distributionally Robust Segmentation of Abnormal Fetal Brain 3D MRI

Aug 09, 2021
Lucas Fidon, Michael Aertsen, Nada Mufti, Thomas Deprest, Doaa Emam, Frédéric Guffens, Ernst Schwartz, Michael Ebner, Daniela Prayer, Gregor Kasprian, Anna L. David, Andrew Melbourne, Sébastien Ourselin, Jan Deprest, Georg Langs, Tom Vercauteren

Figure 1 for Distributionally Robust Segmentation of Abnormal Fetal Brain 3D MRI
Figure 2 for Distributionally Robust Segmentation of Abnormal Fetal Brain 3D MRI
Figure 3 for Distributionally Robust Segmentation of Abnormal Fetal Brain 3D MRI
Figure 4 for Distributionally Robust Segmentation of Abnormal Fetal Brain 3D MRI
Viaarxiv icon

Continual Active Learning for Efficient Adaptation of Machine Learning Models to Changing Image Acquisition

Jun 07, 2021
Matthias Perkonigg, Johannes Hofmanninger, Georg Langs

Figure 1 for Continual Active Learning for Efficient Adaptation of Machine Learning Models to Changing Image Acquisition
Figure 2 for Continual Active Learning for Efficient Adaptation of Machine Learning Models to Changing Image Acquisition
Figure 3 for Continual Active Learning for Efficient Adaptation of Machine Learning Models to Changing Image Acquisition
Figure 4 for Continual Active Learning for Efficient Adaptation of Machine Learning Models to Changing Image Acquisition
Viaarxiv icon

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

Aug 28, 2020
Amirreza Mahbod, Philipp Tschandl, Georg Langs, Rupert Ecker, Isabella Ellinger

Figure 1 for The Effects of Skin Lesion Segmentation on the Performance of Dermatoscopic Image Classification
Figure 2 for The Effects of Skin Lesion Segmentation on the Performance of Dermatoscopic Image Classification
Figure 3 for The Effects of Skin Lesion Segmentation on the Performance of Dermatoscopic Image Classification
Figure 4 for The Effects of Skin Lesion Segmentation on the Performance of Dermatoscopic Image Classification
Viaarxiv icon