| Deep learning in image cytometry: a review A Gupta, PJ Harrison, H Wieslander, N Pielawski, K Kartasalo, G Partel, ... Cytometry Part A 95 (4), 366-380, 2019 | 187 | 2019 |
| Spage2vec: Unsupervised representation of localized spatial gene expression signatures G Partel, C Wählby The FEBS journal 288 (6), 1859-1870, 2021 | 39 | 2021 |
| TissUUmaps: interactive visualization of large-scale spatial gene expression and tissue morphology data L Solorzano, G Partel, C Wählby Bioinformatics 36 (15), 4363-4365, 2020 | 34 | 2020 |
| Automated identification of the mouse brain’s spatial compartments from in situ sequencing data G Partel, MM Hilscher, G Milli, L Solorzano, AH Klemm, M Nilsson, ... BMC biology 18, 1-14, 2020 | 24 | 2020 |
| Decoding gene expression in 2D and 3D M Bombrun, P Ranefall, J Lindblad, A Allalou, G Partel, L Solorzano, ... Image Analysis: 20th Scandinavian Conference, SCIA 2017, Tromsø, Norway …, 2017 | 4 | 2017 |
| Spage2vec: unsupervised detection of spatial gene expression constellations G Partel, C Wählby bioRxiv, 2020.02. 12.945345, 2020 | 3 | 2020 |
| Integration of Multiple Spatial-Omics Modalities Reveals Unique Insights into Molecular Heterogeneity of Prostate Cancer W Zhang, X Spotbeen, S Vanuytven, S Kint, T Sarretto, F Socciarelli, ... bioRxiv, 2023.08. 28.555056, 2023 | 1 | 2023 |
| De novo spatiotemporal modelling of cell-type signatures in the developmental human heart using graph convolutional neural networks S Marco Salas, X Yuan, C Sylven, M Nilsson, C Wählby, G Partel PLoS Computational Biology 18 (8), e1010366, 2022 | 1 | 2022 |
| FUNGI: FUsioN Gene Integration toolset A Cervera, H Rausio, T Kähkönen, N Andersson, G Partel, V Rantanen, ... Bioinformatics 37 (19), 3353-3355, 2021 | 1 | 2021 |
| Graph-based image decoding for multiplexed in situ RNA detection G Partel, C Wählby 2020 25th International Conference on Pattern Recognition (ICPR), 3783-3790, 2021 | 1 | 2021 |
| Transcriptome-supervised classification of tissue morphology using deep learning A Andersson, G Partel, L Solorzano, C Wählby 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 1630-1633, 2020 | 1 | 2020 |
| Improving Recall of In Situ Sequencing by Self-Learned Features and a Graphical Model G Partel, G Milli, C Wählby arXiv preprint arXiv:1802.08894, 2018 | 1 | 2018 |
| Investigation of Prostate Cancer Heterogeneity Using a Novel Spatial Multi-Omics Pipeline Integrating MS Imaging and Spatial Transcriptomics X Spotbeen, W Zhang, T Sarretto, F Socciarelli, S Vanuytven, S Kint, ... Annual Conference on Mass Spectrometry Imaging and Integrated Topics (IMSIS …, 2023 | | 2023 |
| Spatial transcriptomics in adult Drosophila reveals new cell types in the brain and identifies subcellular mRNA patterns in muscles J Janssens, P Mangeol, N Hecker, G Partel, K Spanier, JN Ismail, ... bioRxiv, 2023.10. 06.561233, 2023 | | 2023 |
| De novo spatiotemporal modelling of cell-type signatures identifies novel cell populations in the developmental human heart SM Salas, X Yuan, C Sylven, M Nilsson, C Wählby, G Partel bioRxiv, 2021.07. 10.451822, 2021 | | 2021 |
| Image and Data Analysis for Spatially Resolved Transcriptomics: Decrypting fine-scale spatial heterogeneity of tissue's molecular architecture G Partel Acta Universitatis Upsaliensis, 2020 | | 2020 |
