367 citations
- Harvard UniversityUS15 papers
- Massachusetts General HospitalUS12 papers
- Otto-von-Guericke-Universität MagdeburgDE10 papers
- Athinoula A. Martinos Center for Biomedical ImagingUS9 papers
- Center for Behavioral Brain SciencesDE9 papers
- University of BonnDE5 papers
- Heidelberg UniversityDE4 papers
- Ludwig-Maximilians-Universität MünchenDE4 papers
- Medizinische Hochschule HannoverDE4 papers
- Technical University of MunichDE4 papers
- University of PennsylvaniaUS4 papers
- Boston Children's HospitalUS3 papers
4 papers · 1 filter
Liver Segmentation using Turbolift Learning for CT and Cone-beam C-arm Perfusion Imaging
Hana Haseljić, Soumick Chatterjee, Robert Frysch +9
Model-based reconstruction employing the time separation technique (TST) was found to improve dynamic perfusion imaging of the liver using C-arm cone-beam computed tomography (CBCT…
Identifying and Combating Bias in Segmentation Networks by leveraging multiple resolutions
Leonie Henschel, David Kügler, Derek S Andrews +2
Exploration of bias has significant impact on the transparency and applicability of deep learning pipelines in medical settings, yet is so far woefully understudied. In this paper,…
MICDIR: Multi-scale Inverse-consistent Deformable Image Registration using UNetMSS with Self-Constructing Graph Latent
Soumick Chatterjee, Himanshi Bajaj, Istiyak H. Siddiquee +5
Image registration is the process of bringing different images into a common coordinate system - a technique widely used in various applications of computer vision, such as remote…
FastSurferVINN: Building Resolution-Independence into Deep Learning Segmentation Methods -- A Solution for HighRes Brain MRI
Leonie Henschel, David Kügler, Martin Reuter
Leading neuroimaging studies have pushed 3T MRI acquisition resolutions below 1.0 mm for improved structure definition and morphometry. Yet, only few, time-intensive automated imag…