David Lohr

According to our database, David Lohr authored at least 6 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Layer Selection in Feature-Based Losses Affects Image Quality and Microstructural Consistency in Deep Learning Super-Resolution of Brain Diffusion MRI.

David Lohr, René Werner

CoRR, May, 2026

Automating Parameter Selection in Deep Image Prior for Fluorescence Microscopy Image Denoising via Similarity-Based Parameter Transfer.

Lina Meyer, Felix Wissel, Tobias Knopp, Susanne Pfefferle, Ralf Fliegert, Maximilian Sandmann, Liana Uebler, Franziska Möckl, Björn-Philipp Diercks, David Lohr, René Werner

CoRR, January, 2026

2025

AIMD. AI for microscopy denoising - dataset 2.

David Lohr, René Werner

Dataset, February, 2025

AIMD. AI for microscopy denoising - dataset 1.

David Lohr, René Werner

Dataset, February, 2025

2021

Sensitivity analysis for interpretation of machine learning based segmentation models in cardiac MRI.

Markus J. Ankenbrand, Liliia Shainberg, Michael Hock, David Lohr, Laura Maria Schreiber

BMC Medical Imaging, 2021

2020

Exploring Ensemble Applications for Multi-sequence Myocardial Pathology Segmentation.

Markus J. Ankenbrand, David Lohr, Laura Maria Schreiber

Proceedings of the Myocardial Pathology Segmentation Combining Multi-Sequence Cardiac Magnetic Resonance Images, 2020