Subprojects
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A whole body Radiomics approach in patients with metastatic melanoma undergoing systemic therapy: Fully automated longitudinal segmentation and Deep Learning-based outcome prediction
Prof. Thomas Eigentler (Berlin), Dr. Annika Gerken (Bremen), Prof. Ahmed Othman (Mainz), Dr. Felix Peisen (Tübingen)
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Assessment of organ-specific biological age based on whole-body MR data from the German National Cohort Study. Phase II: Correlation with epidemiological, functional and clinical data
Prof. Sergios Gatidis (Tübingen), Prof. Thomas Küstner (Tübingen), Prof. Bin Yang (Stuttgart)
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Automated longitudinal characterization of the choroid plexus and glymphatic system in multiple sclerosis: facilitation of biomarker extraction and improvement of patient stratification
Dr. Gabriel González-Escamilla (Mainz), Prof. Sergiu Groppa (Mainz), Dr. Andrea Kronfeld (Mainz), Dr. Anirban Mukhopadhyay (Darmstadt), Prof. Ahmed Othman (Mainz)
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DEvelopment and dEployment of a Pipeline for automated LymphoNodal profiling and staging: DEEP-LN
Prof. Bettina Baeßler (Würzburg), Priv.-Doz. Dr. Thorsten Persigehl (Köln)
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Development and validation of artificial intelligence models using CT data and spatial dose distributions for the prediction of radiation pneumonitis in lung cancer patients treated within the multicenter prospective REQUITE trial
Dr. Jan Peeken (München), Prof. Julia Schnabel (Garching)
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Disentangling the interplay between the brain and the cardiovascular system: a population-based quantitative whole-body MRI approach
Priv.-Doz. Dr. Jonas Aurel Hosp (Freiburg), Dr. Alexander Rau (Freiburg), Dr. Marco Reisert (Freiburg), Dr. Jakob Weiß (Freiburg)
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Epidemiologic, genetic and translational analyses of radiomics-based kidney features of two large, population-based studies
Dr. Elias Kellner (Freiburg), Prof. Anna Köttgen (Freiburg), Dr. Maximilian Russe (Freiburg)
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Graph Learning and Pathophysiological Models: Towards a New Classification of White Matter Lesions in Multiple Sclerosis
Prof. Mark Mühlau (München), Prof. Daniel Rückert (München), Priv.-Doz. Dr. Benedikt Wiestler (München)
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Image-based personalized prediction of residual risk and prognosis of cardio/cerebrovascular disease
Prof. Anja Hennemuth (Berlin), Prof. Jeanette-Esther Schulz-Menger (Berlin), Dr. Kersten Villringer (Berlin)
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Imaging Biomarkers of Human Skeletal Muscle (Mass, Morphology and Texture Features of Muscle Groups in the Body Trunk and Thigh) in Sarcopenia and Cardiometabolic Disease
Dr. Lena Sophie Kiefer (Tübingen), Prof. Fritz Schick (Tübingen), Prof. Bin Yang (Stuttgart)
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MRI radiomics-based long-term evaluation and identification of imaging biomarkers for growth prediction of distinct nodular lesions in plexiform neurofibromas in NF1
Dr. Inka Ristow (Hamburg), Dr. René Werner (Hamburg)
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Multimodal radiomics using MRI and amino acid PET in neuro-oncology
Prof. Norbert Galldiks (Köln), Priv.-Doz. Dr. Philipp Lohmann (Jülich)
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Next-generation imaging biomarkers in neuro-oncology using artificial intelligence: overcoming key challenges towards clinically applicable AI
Prof. Klaus H. Maier-Hein (Heidelberg), Prof. Philipp Vollmuth (Heidelberg)
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Structured prospective validation of published radiomics models and assessment of their applicability for clinical translation
Prof. Steffen Löck (Dresden)
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Phenotyping/Signature of adipose tissue compartments: A Radiomic, Cluster-based and geographic Analysis in the German National Cohort
Prof. Fabian Bamberg (Freiburg), Prof. Hans-Ulrich Kauczor (Heidelberg), Priv.-Doz. Dr. Jürgen Machann (Tübingen), Priv.-Doz. Dr. Johanna Nattenmüller (Freiburg), Dr. Tobias Norajitra (Heidelberg), Dr. Susanne Rospleszcz (München)
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Coordination Funds
Prof. Fabian Bamberg (Freiburg)
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A whole body Radiomics approach for outcome prediction in patients with metastatic melanoma undergoing systemic therapy
Privatdozent Dr. Thomas Eigentler (Tübingen), Professor Dr. Sergios Gatidis (Tübingen), Jan Hendrik Moltz, Ph.D. (Bremen), Dr. Ahmed Othman (Tübingen)
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Adipose Tissue Compartments and Changes to Liver Tissue in Association with Prediabetes and Type-2 Diabetes: A Radiomic and Shape-based Analysis in the German National Cohort
Professor Dr. Fabian Bamberg (Freiburg), Privatdozent Dr. Jürgen Machann (München), Professor Dr. Klaus H. Maier-Hein (Heidelberg), Dr. Johanna Nattenmüller (Heidelberg), Professor Dr. Fritz Schick (Tübingen), Privatdozent Dr. Christopher Schlett (Freiburg)
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Assessment of organ-specific biological age based on whole body MR data from the German National Cohort MR Study
Professor Dr. Sergios Gatidis (Tübingen), Professor Dr.-Ing. Bin Yang (Stuttgart)
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Detection, segmentation and characterization of lymph node metastases: an integrated approach using deep learning and radiomic analyses on large scale data
Professorin Dr. Bettina Baeßler (Würzburg), Privatdozent Dr. Thorsten Persigehl (Köln)
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Diagnostic and prognostic value of coronary artery flow and morphology in a multicentre randomised trial of computed tomography versus invasive angiography: clinical radiomics analysis
Professor Dr. Marc Dewey (Berlin), Privatdozentin Dr. Elke Zimmermann (Berlin)
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Exploration of the Prognostic Value of Radiomics Analysis and Deep Learning of Coronary Plaques on Computed Tomography for Cardiovascular Events
Professor Dr. Marc Dewey (Berlin), Dr. Matthias Rief (Berlin), Dr. Christian Wald (Berlin)
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Identification and Characterization of Novel Imaging Biomarkers of Kidney Function and Disease
Dr. Elias Kellner (Freiburg), Professorin Dr. Anna Köttgen (Freiburg)
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Illustration: Identification and Characterization of Novel Imaging Biomarkers of Kidney Function and Disease
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Imaging Biomarkers of Human Skeletal Muscle (Mass, Morphology and Texture Features of Muscle Groups in the Body Trunk, Upper Arm, and Thigh) in Sarcopenia and Cardiometabolic Disease
Dr. Lena Sophie Kiefer (Tübingen), Professor Dr. Fritz Schick (Tübingen), Professor Dr.-Ing. Bin Yang (Stuttgart)
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Next-generation image analytics for chemotherapy and survival prediction in pancreatic ductal adenocarcinoma
Privatdozent Dr. Rickmer Früdd Braren (München)
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Non-invasive prediction of key molecular alterations and tumor growth dynamics in glioblastoma from MRI
Dr. Philipp Kickingereder (Heidelberg), Professor Dr. Klaus H. Maier-Hein (Heidelberg)
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Patterns of white matter lesions in the brain: impact of air pollution on the variability of lifetime trajectories
Professorin Dr. Svenja Caspers (Jülich), Professorin Dr. Annette Peters (München), Dr. Alexandra Schneider (München)
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Potential of Radiomics and AI in the prediction of breast cancer risk and mutation status in high risk patients with confirmed mutation or calculated high risk status (PRo-mics-BrCa)
Privatdozent Dr. Christoph Engel (Leipzig), Privatdozentin Dr. Eva Maria Fallenberg (München), Professor Dr.-Ing. Horst Karl Hahn (Bremen), Professor Dr. Michael Ingrisch (München), Professorin Dr. Rita Katharina Schmutzler (Köln)
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Predicting individual disease activity in Multiple Sclerosis: Making the informative wealth of white matter lesion imaging clinically accessible
Professor Dr. Bjoern Menze (München), Professor Dr. Mark Mühlau (München), Dr. Benedikt Wiestler (München)
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Prediction of treatment response and outcome in locally advanced rectal cancer using radiomics and deep learning: an example case to demonstrate a general purpose deep-learning-based processing pipeline for image classification
Professorin Dr. Ulrike I. Attenberger (Bonn), Professorin Dr. Bettina Baeßler (Würzburg), Professor Dr. Jürgen Hesser (Heidelberg), Professor Dr. Frank Gerrit Zöllner (Heidelberg)
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Radioclinomics for prediction of treatment response to immune checkpoint therapy and molecular targeted therapies in patients with metastatic malignant melanoma
Professorin Dr. Lale Umutlu (Essen)
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Use of multimodal MRI and amino acid PET radiomics: Clinical applications in Neuro-Oncology
Professor Dr. Norbert Galldiks (Köln), Professor Dr. Ulrich Johannes Herrlinger (Bonn), Privatdozent Dr. Philipp Lohmann (Jülich)
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Project Management Office
Medical Center – University of Freiburg
Center for Diagnostic and
Therapeutic Radiology
Department of Radiology
Killianstr. 5a
79106 Freiburg im Breisgau
+49 761 270-39795
