activity
20192024
most citedRobust deep learning-based semantic organ segmentation in hyperspectral images

92 citations · 282 across the 16 of their papers we have counts for

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Showing 2019Show all

5 papers · 1 filter

eess.IV2019★ 5 cited

Out of distribution detection for intra-operative functional imaging

Tim J. Adler, Leonardo Ayala, Lynton Ardizzone +6

Multispectral optical imaging is becoming a key tool in the operating room. Recent research has shown that machine learning algorithms can be used to convert pixel-wise reflectance…

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…

physics.med-ph2019★ 30 cited

Uncertainty-aware performance assessment of optical imaging modalities with invertible neural networks

Tim J. Adler, Lynton Ardizzone, Anant Vemuri +8

Purpose: Optical imaging is evolving as a key technique for advanced sensing in the operating room. Recent research has shown that machine learning algorithms can be used to addres…

physics.med-ph2019★ 74 cited

Estimation of blood oxygenation with learned spectral decoloring for quantitative photoacoustic imaging (LSD-qPAI)

Janek Gröhl, Thomas Kirchner, Tim Adler +1

One of the main applications of photoacoustic (PA) imaging is the recovery of functional tissue properties, such as blood oxygenation (sO2). This is typically achieved by linear sp…

physics.med-ph2019

Photoacoustics can image spreading depolarization deep in gyrencephalic brain

Thomas Kirchner, Janek Gröhl, Mildred Herrera +4

Spreading depolarization (SD) is a self-propagating wave of near-complete neuronal depolarization that is abundant in a wide range of neurological conditions, including stroke. SD…