Catharina S. Lisson
Albert Einstein Allee 23
Ulm, BW 89081, Germany
Ulm, BW 89081, Germany
Last Updated: 09/26/2026
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Found 17 publications
Machine learning-based radiomics for bladder cancer staging: evaluating the role of imaging timing in differentiating T2 from T3 disease.
Journal: Frontiers in oncology
Published: March 11, 2025
Proto-Caps: interpretable medical image classification using prototype learning and privileged information.
Journal: PeerJ. Computer science
Published: October 04, 2024
From Phantoms to Patients: Improved Fusion and Voxel-Wise Analysis of Diffusion-Weighted Imaging and FDG-Positron Emission Tomography in Positron Emission Tomography/Magnetic Resonance Imaging for Combined Metabolic-Diffusivity Index (cDMI).
Journal: Diagnostics (Basel, Switzerland)
Published: July 06, 2024
Editorial for "Multi-Phase MRI-Based Radiomics for Predicting Histological Grade of Hepatocellular Carcinoma".
Journal: Journal of magnetic resonance imaging : JMRI
Published: February 14, 2024
Less is More: Selective reduction of CT data for self-supervised pre-training of deep learning models with contrastive learning improves downstream classification performance.
Journal: Computers in biology and medicine
Published: January 16, 2024
Self-supervised pre-training with contrastive and masked autoencoder methods for dealing with small datasets in deep learning for medical imaging.
Journal: Scientific reports
Published: August 25, 2023
Longitudinal CT Imaging to Explore the Predictive Power of 3D Radiomic Tumour Heterogeneity in Precise Imaging of Mantle Cell Lymphoma (MCL).
Journal: Cancers
Published: November 25, 2021
Improvement of image quality applying iterative scatter correction for grid-less skeletal radiography in trauma room setting.
Journal: Acta radiologica (Stockholm, Sweden : 1987)
Published: October 02, 2019
Last Updated: 09/26/2026