| Artificial intelligence for diagnosis and grading of prostate cancer in biopsies: a population-based, diagnostic study P Ström, K Kartasalo, H Olsson, L Solorzano, B Delahunt, DM Berney, ... The Lancet Oncology 21 (2), 222-232, 2020 | 505 | 2020 |
| 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 | 192 | 2019 |
| Improved breast cancer histological grading using deep learning Y Wang, B Acs, S Robertson, B Liu, L Solorzano, C Wählby, J Hartman, ... Annals of Oncology 33 (1), 89-98, 2022 | 125 | 2022 |
| 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 | 37 | 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 | 27 | 2020 |
| Pathologist-level grading of prostate biopsies with artificial intelligence P Ström, K Kartasalo, H Olsson, L Solorzano, B Delahunt, DM Berney, ... arXiv preprint arXiv:1907.01368, 2019 | 27 | 2019 |
| Whole slide image registration for the study of tumor heterogeneity L Solorzano, GM Almeida, B Mesquita, D Martins, C Oliveira, C Wählby Computational Pathology and Ophthalmic Medical Image Analysis: First …, 2018 | 21 | 2018 |
| TissUUmaps 3: Improvements in interactive visualization, exploration, and quality assessment of large-scale spatial omics data N Pielawski, A Andersson, C Avenel, A Behanova, E Chelebian, A Klemm, ... Heliyon 9 (5), 2023 | 20 | 2023 |
| Comparison of East‐Asia and West‐Europe cohorts explains disparities in survival outcomes and highlights predictive biomarkers of early gastric cancer aggressiveness C Pereira, JH Park, S Campelos, I Gullo, C Lemos, L Solorzano, D Martins, ... International Journal of Cancer 150 (5), 868-880, 2022 | 11 | 2022 |
| TissUUmaps 3: interactive visualization and quality assessment of large-scale spatial omics data N Pielawski, A Andersson, C Avenel, A Behanova, E Chelebian, A Klemm, ... BioRxiv, 2022 | 11 | 2022 |
| The ACROBAT 2022 challenge: automatic registration of breast cancer tissue P Weitz, M Valkonen, L Solorzano, C Carr, K Kartasalo, C Boissin, ... Medical Image Analysis 97, 103257, 2024 | 10 | 2024 |
| Machine learning for cell classification and neighborhood analysis in glioma tissue L Solorzano, L Wik, T Olsson Bontell, Y Wang, AH Klemm, J Öfverstedt, ... Cytometry Part A 99 (12), 1176-1186, 2021 | 10 | 2021 |
| Towards automatic protein co-expression quantification in immunohistochemical TMA slides L Solorzano, C Pereira, D Martins, R Almeida, F Carneiro, GM Almeida, ... IEEE journal of biomedical and health informatics 25 (2), 393-402, 2020 | 9 | 2020 |
| ACROBAT--a multi-stain breast cancer histological whole-slide-image data set from routine diagnostics for computational pathology P Weitz, M Valkonen, L Solorzano, C Carr, K Kartasalo, C Boissin, ... arXiv preprint arXiv:2211.13621, 2022 | 8 | 2022 |
| Voxel-wise assessment of lung aeration changes on CT images using image registration: application to acute respiratory distress syndrome (ARDS) M Orkisz, A Morales Pinzón, JC Richard, C Guérin, LE Solórzano Vargas, ... International Journal of Computer Assisted Radiology and Surgery 14, 1945-1953, 2019 | 6 | 2019 |
| ACROBAT-automatic registration of breast cancer tissue P Weitz, M Valkonen, L Solorzano, J Hartman, P Ruusuvuori, ... 10th Internatioal Workshop on Biomedical Image Registration, 2022 | 5 | 2022 |
| A Multi-Stain Breast Cancer Histological Whole-Slide-Image Data Set from Routine Diagnostics P Weitz, M Valkonen, L Solorzano, C Carr, K Kartasalo, C Boissin, ... Scientific Data 10 (1), 562, 2023 | 4 | 2023 |
| 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 |
| 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 | 2 | 2020 |
| Ensemble-based deep learning improves detection of invasive breast cancer in routine histopathology images L Solorzano, S Robertson, B Acs, J Hartman, M Rantalainen Heliyon 10 (12), 2024 | | 2024 |
Kimmo KartasaloAssistant Professor, Karolinska institutet在 ki.se 的电子邮件经过验证
