| 2025 | ICPRAM | Self-Supervised Transformers for Long-Term Prediction of Landsat NDVI Time Series. | Ido Faran, Nathan S. Netanyahu, Elena Roitberg, Maxim Shoshany |
| 2024 | IGARSS | Primary Productivity and Woody Growth: A 35 Years Landsat TM NDVI Time Series Investigation Across Desert-Fringe in the South-Eastern Mediterranean. | Elena Roitberg, Maxim Shoshany |
| 2024 | IGARSS | Hyperspectral Investigation of Sarcoproterioum Spinosum Detection in a Desert Fringe Site. | Maxim Shoshany |
| 2024 | IGARSS | Photogrammetric Point Cloud Analysis of Desert Fringe Shrubs' Shape. | Yulia Vidro, Maxim Shoshany |
| 2020 | IGARSS | Multi Seasonal Deep Learning Classification of Venus Images. | Ido Faran, Nathan S. Netanyahu, Eli David, Ronit Rud, Maxim Shoshany |
| 2019 | IGARSS | Ground Truth Simulation for Deep Learning Classification of Mid-Resolution Venus Images Via Unmixing of High-Resolution Hyperspectral Fenix Data. | Ido Faran, Nathan S. Netanyahu, Eli (Omid) David, Maxim Shoshany, Fadi Kizel, Jisung Geba Chang, Ronit Rud |
| 2016 | IGARSS | Red-edge ratio Normalized Vegetation Index for remote estimation of green biomass. | Jisung Chang, Maxim Shoshany |
| 2016 | IGARSS | Mediterranean shrublands biomass estimation using Sentinel-1 and Sentinel-2. | Jisung Chang, Maxim Shoshany |
| 2015 | IGARSS | Spatially adaptive hyperspectral unmixing based on sums of 2D Gaussians for modelling endmember fraction surfaces. | Fadi Kizel, Maxim Shoshany, Nathan S. Netanyahu |
| 2007 | IGARSS | Improving hyperspectral classification based on wavelet decomposition 1Ophir Almog. | Ophir Almog, Maxim Shoshany, Victor Alchanatis |
| 2003 | IGARSS | Mean shift-based clustering of remotely sensed data. | Lior Friedman, Nathan S. Netanyahu, Maxim Shoshany |
| 2002 | IGARSS | A neural network-based technique for change detection of linear features and its application to a Mediterranean region. | Idan Feldberg, Nathan S. Netanyahu, Maxim Shoshany |
| 2002 | IGARSS | Spectral and spatial parameterization of multi-date satellite images for change detection of linear features. | Avraham Gal, Maxim Shoshany, Nathan S. Netanyahu |