Daniel Sobotka
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View article: MRI-derived quantification of hepatic vessel-to-volume ratios in chronic liver disease using a deep learning approach
MRI-derived quantification of hepatic vessel-to-volume ratios in chronic liver disease using a deep learning approach Open
View article: Improving Vessel Segmentation with Multi-Task Learning and Auxiliary Data Available Only During Model Training
Improving Vessel Segmentation with Multi-Task Learning and Auxiliary Data Available Only During Model Training Open
View article: Metabolic tumor volume and sites of organ involvement predict outcome in NSCLC immune-checkpoint inhibitor therapy
Metabolic tumor volume and sites of organ involvement predict outcome in NSCLC immune-checkpoint inhibitor therapy Open
The MTV and the number of SOI are simple imaging markers that provide complementary information to facilitate risk stratification in NSCLC patients scheduled for ICIT.
View article: Correlation of histologic, imaging, and artificial intelligence features in NAFLD patients, derived from Gd-EOB-DTPA-enhanced MRI: a proof-of-concept study
Correlation of histologic, imaging, and artificial intelligence features in NAFLD patients, derived from Gd-EOB-DTPA-enhanced MRI: a proof-of-concept study Open
Objective To compare unsupervised deep clustering (UDC) to fat fraction (FF) and relative liver enhancement (RLE) on Gd-EOB-DTPA-enhanced MRI to distinguish simple steatosis from non-alcoholic steatohepatitis (NASH), using histology as the…
View article: Fetal brain tissue annotation and segmentation challenge results
Fetal brain tissue annotation and segmentation challenge results Open
View article: Fetal development of functional thalamocortical and cortico–cortical connectivity
Fetal development of functional thalamocortical and cortico–cortical connectivity Open
Measuring and understanding functional fetal brain development in utero is critical for the study of the developmental foundations of our cognitive abilities, possible early detection of disorders, and their prevention. Thalamocortical con…
View article: Fetal Brain Tissue Annotation and Segmentation Challenge Results
Fetal Brain Tissue Annotation and Segmentation Challenge Results Open
In-utero fetal MRI is emerging as an important tool in the diagnosis and analysis of the developing human brain. Automatic segmentation of the developing fetal brain is a vital step in the quantitative analysis of prenatal neurodevelopment…
View article: Motion correction and volumetric reconstruction for fetal functional magnetic resonance imaging data
Motion correction and volumetric reconstruction for fetal functional magnetic resonance imaging data Open
Motion correction is an essential preprocessing step in functional Magnetic Resonance Imaging (fMRI) of the fetal brain with the aim to remove artifacts caused by fetal movement and maternal breathing and consequently to suppress erroneous…
View article: Motion Correction and Volumetric Reconstruction for Fetal Functional Magnetic Resonance Imaging Data
Motion Correction and Volumetric Reconstruction for Fetal Functional Magnetic Resonance Imaging Data Open
Motion correction is an essential preprocessing step in functional Magnetic Resonance Imaging (fMRI) of the fetal brain with the aim to remove artifacts caused by fetal movement and maternal breathing and consequently to suppress erroneous…
View article: 4D iterative reconstruction of brain fMRI in the moving fetus
4D iterative reconstruction of brain fMRI in the moving fetus Open
Resting-state functional Magnetic Resonance Imaging (fMRI) is a powerful imaging technique for studying functional development of the brain in utero. However, unpredictable and excessive movement of fetuses has limited clinical application…
View article: Unsupervised deep clustering for predictive texture pattern discovery in medical images
Unsupervised deep clustering for predictive texture pattern discovery in medical images Open
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. Here, we present a method to identify predictive texture p…
View article: Quantifying Residual Motion Artifacts in Fetal fMRI Data
Quantifying Residual Motion Artifacts in Fetal fMRI Data Open
Fetal functional Magnetic Resonance Imaging (fMRI) has emerged as a powerful tool for investigating brain development in utero, holding promise for generating developmental disease biomarkers and supporting prenatal diagnosis. However, to …
View article: Maschinelles Lernen in der Radiologie
Maschinelles Lernen in der Radiologie Open
Zusammenfassung Methodisches Problem Maschinelles Lernen (ML) nimmt zunehmend Einzug in die Radiologie, um Aufgaben wie die automatische Detektion und Segmentation von diagnoserelevanten Bildmerkmalen, die Charakterisierung von Krankheits-…