Janek Gröhl

The quantification of absolute molecular concentrations can be considered the holy grail of multispectral photoacoustic imaging (PAI). I am interested in applying machine learning methods to investigate this challenge, as solving it would enable accurate spectral unmixing of local blood oxygenation and open numerous exciting clinical applications. I build tissue-mimicking materials and digital representations of these (“digital twins”) and image them with PAI – I can use these to (1) calibrate the numerical forward models needed to simulate PAI and (2) to simulate realistic data distributions that allow the training of deep learning algorithms on simulated data.

Brief CV

Publication Highlights

Deep learning for biomedical photoacoustic imaging: A review

Published to Elsevier

J Gröhl, M Schellenberg, K Dreher, and L Maier-Hein, Photoacoustics, 100241, 2021.

Moving beyond simulation: data-driven quantitative photoacoustic imaging using tissue-mimicking phantoms

Published to IEEE Transactions on Medical Imaging

J Gröhl, TR Else, L Hacker, EV Bunce, PW Sweeney, SE Bohndiek

Learned spectral decoloring enables photoacoustic oximetry

Published to Nature Publishing Group

J Gröhl, T Kirchner, TJ Adler, L Hacker, N Holzwarth, A Hernández-Aguilera, MA Herrera, E Santos, SE Bohndiek, L Maier-Hein, 11(1):1-12, 2021.

IPASC: A community-driven consensus-based initiative towards standardisation in photoacoustic imaging

Published to IEEE

SE Bohndiek, BT Cox, J Joseph, J Gröhl, L Hacker, S Morscher, WC Vogt, 2020 IEEE International Ultrasonics Symposium (IUS)

Context encoding enables machine learning-based quantitative photoacoustics

Published to International Society for Optics and Photonics

T Kirchner*, J Gröhl*, and L Maier-Hein, Journal of biomedical optics, 23(5):056008, 2018.

Confidence Estimation for Machine Learning-Based Quantitative Photoacoustics

Published to Multidisciplinary Digital Publishing Institute

J Gröhl, T Kirchner, T Adler, and L Maier-Hein, Journal of Imaging, 4(12):147, 2018.

Best conference attended

SPIE Photonics West, Photons plus Ultrasound, February 2019