Florian Thamm



close-button

Types of publications

Journal article
Book chapter / Article in edited volumes
Authored book
Translation
Thesis
Edited Volume
Conference contribution
Other publication type
Unpublished / Preprint

Publication year

From
To

Abstract

Journal

An Algorithm for the Labeling and Interactive Visualization of the Cerebrovascular System of Ischemic Strokes (2022) Thamm F, Jürgens M, Taubmann O, Thamm A, Rist L, Ditt H, Maier A Journal article, Original article Detection of Large Vessel Occlusions using Deep Learning by Deforming Vessel Tree Segmentations (2022) Thamm F, Taubmann O, Jürgens M, Ditt H, Maier A Conference contribution, Conference Contribution Building Brains: Subvolume Recombination for Data Augmentation in Large Vessel Occlusion Detection (2022) Thamm F, Taubmann O, Jürgens M, Thamm A, Denzinger F, Rist L, Ditt H, Maier A Conference contribution Thrombus Detection in Non-Contrast Head CT using Graph Deep Learning (2022) Popp A, Taubmann O, Thamm F, Ditt H, Maier A, Breininger K Conference contribution SyNCCT: Synthetic Non-Contrast Images of the Brain from Single-Energy Computed Tomography Angiography (2021) Thamm F, Taubmann O, Denzinger F, Jürgens M, Ditt H, Maier A Conference contribution, Conference Contribution Segmentation of the Carotid Lumen and Vessel Wall using Deep Learning and Location Priors (2021) Thamm F, Denzinger F, Rist L, Martín Vicario C, Kordon F, Maier A Other publication type, Challenge Report Failure and Risk Analysis based on Maintenance Reports of Machines Components in Manufacturing Industry (2021) Thamm A, Herz M, Wiedemann M, Thamm F, Maier A Conference contribution, Conference Contribution Abstract: VirtualDSA++: Automated Segmentation, Vessel Labeling, Occlusion Detection and Graph Search on CT-Angiography Data (2021) Thamm F, Jürgens M, Ditt H, Maier A Conference contribution, Abstract of a poster VirtualDSA++: Automated Segmentation, Vessel Labeling, Occlusion Detection and Graph Search on CT-Angiography Data (2020) Thamm F, Jürgens M, Ditt H, Maier A Conference contribution, Conference Contribution RinQ Fingerprinting: Recurrence-Informed Quantile Networks for Magnetic Resonance Fingerprinting (2020) Hoppe E, Thamm F, Koerzdoerfer G, Syben-Leisner C, Nittka M, Pfeuffer J, Meyer H, Maier A Conference contribution, Abstract of lecture
1 2 3