Książek K, Głomb P, Romaszewski M, Cholewa M, Grabowski B, Buza K.  2022.  Improving Autoencoder Training Performance for Hyperspectral Unmixing with Network Reinitialisation. 21st International Conference on Image Analysis and Processing. 13231

Grabowski B, Głomb P, Książek K, Buza K.  2022.   Improving Autoencoders Performance for Hyperspectral Unmixing Using Clustering. Asian Conference on Intelligent Information and Database Systems. 1716

Grabowski B, Ziaja M, Kawulok M, Nalepa J.  2021.  Towards Robust Cloud Detection in Satellite Images Using U-Nets. 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS.

Książek K, Romaszewski M, Głomb P, Grabowski B, Cholewa M.  2020.  Blood Stain Classification with Hyperspectral Imaging and Deep Neural Networks. Sensors. 20(Recent Advances in Multi- and Hyperspectral Image Analysis)

Masarczyk W, Głomb P, Grabowski B, Ostaszewski M.  2020.  Effective Training of Deep Convolutional Neural Networks for Hyperspectral Image Classification through Artificial Labeling. Remote Sensing. 12(16)

Grabowski B, Głomb P, Romaszewski M, Ostaszewski M.  2019.  Unsupervised deep learning approach to hyperspectral anomaly detection. PP-RAI'2019.

Grabowski B, Masarczyk W, Głomb P, Mendys A.  2018.  Automatic pigment identification from hyperspectral data. Journal of Cultural Heritage. 31:1-12.