Daniel Sobotka

According to our database, Daniel Sobotka authored at least 8 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Improving Vessel Segmentation with Multi-Task Learning and Auxiliary Data Available Only During Model Training.

Daniel Sobotka, Alexander Herold, Matthias Perkonigg, Lucian Beer, Nina Bastati, Alina Sablatnig, Ahmed Ba-Ssalamah, Georg Langs

Comput. Medical Imaging Graph., 2024

2023

Fetal brain tissue annotation and segmentation challenge results.

Kelly Payette, Hongwei Bran 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, Xuesong Li, 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 H. Menze, Meritxell Bach Cuadra, András Jakab

Medical Image Anal., August, 2023

2022

Motion correction and volumetric reconstruction for fetal functional magnetic resonance imaging data.

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

NeuroImage, 2022

Fetal Brain Tissue Annotation and Segmentation Challenge Results.

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, Weibin Liao, Lv Yi, Xuesong Li, 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 H. Menze, Meritxell Bach Cuadra, András Jakab

CoRR, 2022

2021

4D iterative reconstruction of brain fMRI in the moving fetus.

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

CoRR, 2021

2020

Unsupervised deep clustering for predictive texture pattern discovery in medical images.

Matthias Perkonigg, Daniel Sobotka, Ahmed Ba-Ssalamah, Georg Langs

CoRR, 2020

2019

Quantifying Residual Motion Artifacts in Fetal fMRI Data.

Athena Taymourtash, Ernst Schwartz, Karl-Heinz Nenning, Daniel Sobotka, Mariana Diogo, Gregor Kasprian, Daniela Prayer, Georg Langs

Proceedings of the Smart Ultrasound Imaging and Perinatal, Preterm and Paediatric Image Analysis, 2019

Reproducibility of Functional Connectivity Estimates in Motion Corrected Fetal fMRI.

Daniel Sobotka, Roxane Licandro, Michael Ebner, Ernst Schwartz, Tom Vercauteren, Sébastien Ourselin, Gregor Kasprian, Daniela Prayer, Georg Langs

Proceedings of the Smart Ultrasound Imaging and Perinatal, Preterm and Paediatric Image Analysis, 2019