| Artificial intelligence for diagnosis and Gleason grading of prostate cancer: the PANDA challenge W Bulten, K Kartasalo, PHC Chen, P Ström, H Pinckaers, K Nagpal, Y Cai, ... Nature medicine 28 (1), 154-163, 2022 | 259 | 2022 |
| ANHIR: automatic non-rigid histological image registration challenge J Borovec, J Kybic, I Arganda-Carreras, DV Sorokin, G Bueno, ... IEEE transactions on medical imaging 39 (10), 3042-3052, 2020 | 116 | 2020 |
| Mechanical performance and CO2 uptake of ion-exchanged zeolite A structured by freeze-casting A Ojuva, M Järveläinen, M Bauer, L Keskinen, M Valkonen, F Akhtar, ... Journal of the European Ceramic Society 35 (9), 2607-2618, 2015 | 70 | 2015 |
| Predicting molecular phenotypes from histopathology images: A transcriptome-wide expression–morphology analysis in breast cancer Y Wang, K Kartasalo, P Weitz, B Acs, M Valkonen, C Larsson, ... Cancer research 81 (19), 5115-5126, 2021 | 45 | 2021 |
| Insight to nanoparticle size analysis—novel and convenient image analysis method versus conventional techniques M Vippola, M Valkonen, E Sarlin, M Honkanen, H Huttunen Nanoscale Research Letters 11, 1-9, 2016 | 39 | 2016 |
| Virtual reality for 3D histology: multi-scale visualization of organs with interactive feature exploration K Liimatainen, L Latonen, M Valkonen, K Kartasalo, P Ruusuvuori BMC cancer 21, 1-14, 2021 | 14 | 2021 |
| The ACROBAT 2022 Challenge: Automatic Registration Of Breast Cancer Tissue P Weitz, M Valkonen, L Solorzano, C Carr, K Kartasalo, C Boissin, ... arXiv preprint arXiv:2305.18033, 2023 | 7 | 2023 |
| 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 | 7 | 2022 |
| Spatial analysis of histology in 3D: quantification and visualization of organ and tumor level tissue environment P Ruusuvuori, M Valkonen, K Kartasalo, M Valkonen, T Visakorpi, ... Heliyon 8 (1), 2022 | 7 | 2022 |
| PANDA challenge consortium.(2022) W Bulten, K Kartasalo, PC Chen, P Ström, H Pinckaers, K Nagpal, Y Cai, ... Artificial intelligence for diagnosis and Gleason grading of prostate cancer …, 0 | 6 | |
| 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 | 4 | 2022 |
| Interobserver reproducibility of cribriform cancer in prostate needle biopsies and validation of International Society of Urological Pathology criteria L Egevad, B Delahunt, KA Iczkowski, T van der Kwast, ... Histopathology, 2023 | 2 | 2023 |
| Genomic characterization of IDH-mutant astrocytoma progression to grade 4 in the treatment setting KJ Rautajoki, S Jaatinen, A Hartewig, AM Tiihonen, M Annala, I Salonen, ... Acta Neuropathologica Communications 11 (1), 176, 2023 | 1 | 2023 |
| P10. 14. B PROGRESSION OF IDH-MUTANT ASTROCYTOMAS TO GRADE 4 UNDER TREATMENT-RELATED SELECTION PRESSURE KJ Rautajoki, S Jaatinen, A Hartewig, AM Tiihonen, M Annala, I Salonen, ... Neuro-Oncology 25 (Supplement_2), ii65-ii65, 2023 | | 2023 |
| 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 | | 2023 |
| Orthotopic and bone metastasis prostate cancer models using the 22Rv1 cell line J Zdrojewska, TE Kähkönen, JH Mäki-Jouppila, M Valkonen, ... Cancer Research 80 (16_Supplement), 1634-1634, 2020 | | 2020 |
| 3D reconstruction and quantitative analysis of histology for prostate cancer P Ruusuvuori, K Kartasalo, M Valkonen, M Valkonen, T Visakorpi, ... Cancer Research 79 (13_Supplement), 46-46, 2019 | | 2019 |
| Nanoannotator–Novel Image Analysis Method for Nanoparticle Size Analysis M Vippola, M Valkonen, E Sarlin, M Honkanen, H Huttunen 67th Annual Conference of the Nordic Microscopy Society, 2016 | | 2016 |
| Training Based Segmentation of Electron Microscope Images MF Valkonen | | 2015 |
