M. Chamarczuk

Towards adapting reverse VSP for ambient-noise imaging with transient sources: automatic estimation of stationary-phase receivers for improved retrieval of the interferometric Green's function

D. Draganov, M. Malinowski, D. Quiros, 2022, GEOPHYSICS.

Reflection imaging of complex geology in crystalline environment using virtual-source seismology: case study from the Kylylahti polymetallic mine, Finland

D. Draganov, M. Malinowski, S. Heinonen, 2021 .

Passive Seismic Structure Imaging of a Coal Mine by Ambient Noise Seismic Interferometry on a Dense Array

Haijiang Zhang, M. Malinowski, Ji Gao, 2021, Acta Geologica Sinica - English Edition.

Characterization of drilling-related noise and curvelet-based evaluation of seismic-interferometric reflections for imaging of iron-bearing formations in Pilbara, Western Australia

D. Draganov, M. Malinowski, M. Urosevic, 2021 .

Automatic Image-Based Event Detection for Large-N Seismic Arrays Using a Convolutional Neural Network

Michal Malinowski, Michal Chamarczuk, Milosz Mezyk, 2021, Remote. Sens..

2D body-wave seismic interferometry as a tool for reconnaissance studies and optimization of passive reflection seismic surveys in hardrock environments

Deyan Draganov, Michał Chamarczuk, Michał Malinowski, 2021 .

Sparse 3D Seismic Imaging in the Kylylahti Mine Area, Eastern Finland: Comparison of Time Versus Depth Approach

O. Hellwig, M. Malinowski, S. Buske, 2019, Minerals.

Unsupervised Learning Used in Automatic Detection and Classification of Ambient‐Noise Recordings from a Large‐N Array

Yohei Nishitsuji, Deyan Draganov, Michal Malinowski, 2019, Seismological Research Letters.