| Deep learning based tissue analysis predicts outcome in colorectal cancer D Bychkov, N Linder, R Turkki, S Nordling, PE Kovanen, C Verrill, ... Scientific reports 8 (1), 3395, 2018 | 601 | 2018 |
| Systems pathology by multiplexed immunohistochemistry and whole-slide digital image analysis S Blom, L Paavolainen, D Bychkov, R Turkki, P Mäki-Teeri, A Hemmes, ... Scientific reports 7 (1), 15580, 2017 | 153 | 2017 |
| JAK1/2 and BCL2 inhibitors synergize to counteract bone marrow stromal cell–induced protection of AML R Karjalainen, T Pemovska, M Popa, M Liu, KK Javarappa, MM Majumder, ... Blood, The Journal of the American Society of Hematology 130 (6), 789-802, 2017 | 122 | 2017 |
| Breast cancer outcome prediction with tumour tissue images and machine learning R Turkki, D Byckhov, M Lundin, J Isola, S Nordling, PE Kovanen, C Verrill, ... Breast cancer research and treatment 177, 41-52, 2019 | 104 | 2019 |
| Breeze: an integrated quality control and data analysis application for high-throughput drug screening S Potdar, A Ianevski, JP Mpindi, D Bychkov, C Fiere, P Ianevski, B Yadav, ... Bioinformatics 36 (11), 3602-3604, 2020 | 87 | 2020 |
| Deep learning identifies morphological features in breast cancer predictive of cancer ERBB2 status and trastuzumab treatment efficacy D Bychkov, N Linder, A Tiulpin, H Kücükel, M Lundin, S Nordling, H Sihto, ... Scientific reports 11 (1), 4037, 2021 | 51 | 2021 |
| Impact of normalization methods on high-throughput screening data with high hit rates and drug testing with dose–response data JP Mpindi, P Swapnil, B Dmitrii, S Jani, K Saeed, K Wennerberg, ... Bioinformatics 31 (23), 3815-3821, 2015 | 41 | 2015 |
| Akt Inhibitor MK2206 Prevents Influenza pH1N1 Virus Infection In Vitro OV Denisova, S Söderholm, S Virtanen, C Von Schantz, D Bychkov, ... Antimicrobial agents and chemotherapy 58 (7), 3689-3696, 2014 | 41 | 2014 |
| Genome-wide analysis of evolutionary markers of human influenza A (H1N1) pdm09 and A (H3N2) viruses may guide selection of vaccine strain candidates SS Belanov, D Bychkov, C Benner, S Ripatti, T Ojala, M Kankainen, ... Genome biology and evolution 7 (12), 3472-3483, 2015 | 39 | 2015 |
| Deep learning for tissue microarray image-based outcome prediction in patients with colorectal cancer D Bychkov, R Turkki, C Haglund, N Linder, J Lundin Medical Imaging 2016: Digital Pathology 9791, 298-303, 2016 | 34 | 2016 |
| Antibody supervised training of a deep learning based algorithm for leukocyte segmentation in papillary thyroid carcinoma S Stenman, D Bychkov, H Kücükel, N Linder, C Haglund, J Arola, ... IEEE journal of biomedical and health informatics 25 (2), 422-428, 2020 | 25 | 2020 |
| Serum biomarkers of allergic contact dermatitis: A pilot study A Zinkevičienė, D Kainov, E Lastauskienė, V Kvedarienė, D Bychkov, ... International archives of allergy and immunology 168 (3), 161-164, 2016 | 18 | 2016 |
| Comparative analysis of whole-genome sequences of influenza A (H1N1) pdm09 viruses isolated from hospitalized and nonhospitalized patients identifies missense mutations that … P Mishel, T Ojala, C Benner, T Lakspere, D Bychkov, P Jalovaara, ... Genome announcements 3 (4), 10.1128/genomea. 00676-15, 2015 | 8 | 2015 |
| Deep learning based tissue analysis predicts outcome in colorectal cancer. Sci Rep. 2018; 8: 3395 D Bychkov, N Linder, R Turkki, S Nordling, PE Kovanen, C Verrill | 8 | |
| Outcome and biomarker supervised deep learning for survival prediction in two multicenter breast cancer series D Bychkov, H Joensuu, S Nordling, A Tiulpin, H Kücükel, M Lundin, ... Journal of pathology informatics 13, 100171, 2022 | 7 | 2022 |
| Influenza pH1N1 virus accumulated H275Y mutation in neuraminidase during propagation in MDCK cells P Mishel, D Bychkov, H Kallio-Kokko, M Valkonen, A Kantele, P Mattila, ... Genome announcements 2 (6), 10.1128/genomea. 01349-14, 2014 | 5 | 2014 |
| Genetic instability of influenza pH1N1 viruses P Jalovaara, D Bychkov, L Ahtiainen, H Kallio-Kokko, M Valkonen, ... Genome announcements 2 (5), 10.1128/genomea. 00841-14, 2014 | 5 | 2014 |
| A deep convolutional neural network for efficient microglia detection I Suleymanova, D Bychkov, J Kopra Scientific Reports 13 (1), 11139, 2023 | 4 | 2023 |
| Outcome prediction in colorectal cancer using digitized tumor samples and machine learning D Bychkov, R Turkki, C Haglund, N Linder, J Lundin Cancer Research 77 (13_Supplement), 5718-5718, 2017 | 4 | 2017 |
| Exploration of tissue morphologies in breast cancer samples using unsupervised machine learning R Turkki, D Bychkov, N Linder, J Isola, H Joensuu, J Lundin Cancer Research 77 (13_Supplement), 673-673, 2017 | 3 | 2017 |
Johan LundinMD, PhD, Research Director, FIMM, University of Helsinki and Professor, Karolinska InstitutetVerified email at helsinki.fi
