Dr.-Ing. Martin Hohmann

Lehrstuhl für Photonische Technologien (LPT)

Automated spectral decomposition and reconstruction of optical properties using a mixed autoencoder approach (2025) Ni D, Amouroux M, Blondel W, Hohmann M Journal article Machine learning-based classification of spatially resolved diffuse reflectance and autofluorescence spectra acquired on human skin for actinic keratoses and skin carcinoma diagnostics aid (2025) Kupriyanov V, Blondel W, Daul C, Hohmann M, Khairallah G, Kistenev Y, Amouroux M Journal article Stretching the Limits of Refractometric Sensing in Water Using Whispering-Gallery-Mode Resonators (2025) Soler-Carracedo K, Ruiz A, Ríos S, de Armas-Rillo S, Martín LL, Hohmann M, Martín IR, Lahoz F Journal article Empirical model of the total transmission of light in turbid media (2025) Ni D, Hohmann M Journal article Relevant parameters for laser surgery of soft tissue (2024) Hohmann M, Kühn D, Ni D, Späth M, Ghosh A, Rohde M, Stelzle F, et al. Journal article Reconstruction of Optical Properties in Turbid Media: Omitting the Need of the Collimated Transmission for an Integrating Sphere Setup (2024) Ni D, Karmann N, Hohmann M Journal article Towards a sensing model using a random laser combined with diffuse reflectance spectroscopy (2024) Ni D, Klämpfl F, Schmidt M, Hohmann M Journal article Automatic reconstruction and separation of each constituent's absorption and scattering properties using a customized autoencoder neural network (2024) Ni D, Karmann N, Hohmann M Conference contribution Depth estimation in turbid media from stack of epi-illuminated microscopy images, using deep learning (2024) Ghosh A, Hohmann M, Klämpfl F, Schmidt M Conference contribution Author Correction: The influence of the optical properties on the determination of capillary diameters (Scientific Reports, (2022), 12, 1, (270), 10.1038/s41598-021-04359-5) (2023) Späth M, Rohde M, Ni D, Knieling F, Stelzle F, Schmidt M, Klämpfl F, Hohmann M Journal article, Erratum