| Predicting breast tumor proliferation from whole-slide images: the TUPAC16 challenge M Veta, YJ Heng, N Stathonikos, BE Bejnordi, F Beca, T Wollmann, ... Medical image analysis 54, 111-121, 2019 | 306 | 2019 |
| Implementation of large-scale routine diagnostics using whole slide imaging in Sweden: Digital pathology experiences 2006-2013 S Thorstenson, J Molin, C Lundström Journal of pathology informatics 5 (1), 14, 2014 | 195 | 2014 |
| Deep learning nuclei detection: A simple approach can deliver state-of-the-art results H Höfener, A Homeyer, N Weiss, J Molin, CF Lundström, HK Hahn Computerized Medical Imaging and Graphics 70, 43-52, 2018 | 97 | 2018 |
| Towards grading gleason score using generically trained deep convolutional neural networks H Källén, J Molin, A Heyden, C Lundström, K Åström 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), 1163-1167, 2016 | 88 | 2016 |
| From machine learning to machine teaching: the importance of UX M Lindvall, J Molin, J Löwgren Interactions 25 (6), 52-57, 2018 | 34 | 2018 |
| Automated cytology/histology viewers and related methods F Häll, K Köpsén, J Molin, J Pennerup, O Westman, T Dahlberg, ... US Patent 9,547,898, 2017 | 24 | 2017 |
| The human‐in‐the‐loop: an evaluation of pathologists’ interaction with artificial intelligence in clinical practice ACS Bodén, J Molin, S Garvin, RA West, C Lundström, D Treanor Histopathology 79 (2), 210-218, 2021 | 22 | 2021 |
| A comparative study of input devices for digital slide navigation J Molin, C Lundström, M Fjeld Journal of Pathology Informatics 6 (1), 7, 2015 | 22 | 2015 |
| Slide navigation patterns among pathologists with long experience of digital review J Molin, M Fjeld, C Mello‐Thoms, C Lundström Histopathology 67 (2), 185-192, 2015 | 19 | 2015 |
| Understanding design for automated image analysis in digital pathology J Molin, PW Woźniak, C Lundström, D Treanor, M Fjeld Proceedings of the 9th Nordic Conference on Human-Computer Interaction, 1-10, 2016 | 17 | 2016 |
| Viewers and related methods, systems and circuits with patch gallery user interfaces J Molin, C Lundström US Patent 10,489,633, 2019 | 15 | 2019 |
| Scale Stain: Multi-resolution feature enhancement in pathology visualization J Molin, A Bodén, D Treanor, M Fjeld, C Lundström arXiv preprint arXiv:1610.04141, 2016 | 12 | 2016 |
| Training nuclei detection algorithms with simple annotations H Kost, A Homeyer, J Molin, C Lundström, HK Hahn Journal of Pathology Informatics 8 (1), 21, 2017 | 10 | 2017 |
| Diagnostic Review with Digital Pathology: Design of digitals tools for routine diagnostic use J Molin Department of Computer Science and Engineering, Chalmers University of …, 2016 | 10 | 2016 |
| Methods, systems and circuits for generating magnification-dependent images suitable for whole slide images J Molin, C Lundstrom, KS Devan US Patent 9,412,162, 2016 | 9 | 2016 |
| Automated grossing image synchronization and related viewers and workstations F Häll, K Köpsén, J Molin, J Pennerup, O Westman, T Dahlberg, ... US Patent 9,984,457, 2018 | 8 | 2018 |
| Feature-enhancing zoom to facilitate Ki-67 hot spot detection J Molin, KS Devan, K Wårdell, C Lundström Medical Imaging 2014: Digital Pathology 9041, 204-213, 2014 | 8 | 2014 |
| Combatting out-of-distribution errors using model-agnostic meta-learning for digital pathology F Fagerblom, K Stacke, J Molin Medical Imaging 2021: Digital Pathology 11603, 186-192, 2021 | 7 | 2021 |
| Improving the creation and reporting of structured findings during digital pathology review I Cervin, J Molin, C Lundström Journal of pathology informatics 7 (1), 32, 2016 | 6 | 2016 |
| Designing for the long tail of machine learning M Lindvall, J Molin arXiv preprint arXiv:2001.07455, 2020 | 4 | 2020 |
