activity
20192026
most citedSemantic segmentation of multispectral photoacoustic images using deep learning

36 citations · 68 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2026

HeiCo-FOCUS: A Clinically Grounded Dataset for Long-Context Video Understanding

Leon Mayer, Lucas Luttner, Patrick Godau +42

Recent advances in Vision-Language Models (VLMs) have led to rapid progress in video understanding across a wide range of benchmark tasks. However, existing evaluations largely foc…

eess.IV2021★ 36 cited

Semantic segmentation of multispectral photoacoustic images using deep learning

Melanie Schellenberg, Kris Dreher, Niklas Holzwarth +7

Photoacoustic (PA) imaging has the potential to revolutionize functional medical imaging in healthcare due to the valuable information on tissue physiology contained in multispectr…

eess.IV2021★ 25 cited

Photoacoustic image synthesis with generative adversarial networks

Melanie Schellenberg, Janek Gröhl, Kris K. Dreher +5

Photoacoustic tomography (PAT) has the potential to recover morphological and functional tissue properties with high spatial resolution. However, previous attempts to solve the opt…

physics.med-ph2020

Tattoo tomography: Freehand 3D photoacoustic image reconstruction with an optical pattern

Niklas Holzwarth, Melanie Schellenberg, Janek Gröhl +6

Purpose: Photoacoustic tomography (PAT) is a novel imaging technique that can spatially resolve both morphological and functional tissue properties, such as the vessel topology and…

physics.med-ph2019★ 7 cited

Photoacoustic monitoring of blood oxygenation during neurosurgical interventions

Thomas Kirchner, Janek Gröhl, Niklas Holzwarth +5

Multispectral photoacoustic (PA) imaging is a prime modality to monitor hemodynamics and changes in blood oxygenation (sO2). Although sO2 changes can be an indicator of brain activ…