| Year |
Citation |
Score |
| 2019 |
Veta M, Heng YJ, Stathonikos N, Bejnordi BE, Beca F, Wollmann T, Rohr K, Shah MA, Wang D, Rousson M, Hedlund M, Tellez D, Ciompi F, Zerhouni E, Lanyi D, et al. Predicting breast tumor proliferation from whole-slide images: The TUPAC16 challenge. Medical Image Analysis. 54: 111-121. PMID 30861443 DOI: 10.1016/J.Media.2019.02.012 |
0.31 |
|
| 2019 |
Geessink OGF, Baidoshvili A, Klaase JM, Bejnordi BE, Litjens GJS, Pelt GWv, Mesker WE, Nagtegaal ID, Ciompi F, Laak JAWMvd. Computer aided quantification of intratumoral stroma yields an independent prognosticator in rectal cancer Cellular Oncology. 42: 331-341. PMID 30825182 DOI: 10.1007/S13402-019-00429-Z |
0.339 |
|
| 2018 |
Litjens G, Bandi P, Bejnordi BE, Geessink O, Balkenhol M, Bult P, Halilovic A, Hermsen M, Loo Rvd, Vogels R, Manson QF, Stathonikos N, Baidoshvili A, Diest Pv, Wauters C, et al. 1399 H&E-stained sentinel lymph node sections of breast cancer patients: the CAMELYON dataset. Gigascience. 7. PMID 29860392 DOI: 10.1093/Gigascience/Giy065 |
0.342 |
|
| 2017 |
Bejnordi BE, Lin J, Glass B, Mullooly M, Gierach GL, Sherman ME, Karssemeijer N, van der Laak J, Beck AH. DEEP LEARNING-BASED ASSESSMENT OF TUMOR-ASSOCIATED STROMA FOR DIAGNOSING BREAST CANCER IN HISTOPATHOLOGY IMAGES. Proceedings. Ieee International Symposium On Biomedical Imaging. 2017: 929-932. PMID 31636811 DOI: 10.1109/ISBI.2017.7950668 |
0.342 |
|
| 2017 |
Bejnordi BE, Zuidhof G, Balkenhol M, Hermsen M, Bult P, van Ginneken B, Karssemeijer N, Litjens G, van der Laak J. Context-aware stacked convolutional neural networks for classification of breast carcinomas in whole-slide histopathology images. Journal of Medical Imaging (Bellingham, Wash.). 4: 044504. PMID 29285517 DOI: 10.1117/1.Jmi.4.4.044504 |
0.375 |
|
| 2017 |
Litjens G, Kooi T, Bejnordi BE, Setio AAA, Ciompi F, Ghafoorian M, van der Laak JAWM, van Ginneken B, Sánchez CI. A survey on deep learning in medical image analysis. Medical Image Analysis. 42: 60-88. PMID 28778026 DOI: 10.1016/J.Media.2017.07.005 |
0.379 |
|
| 2017 |
Mullooly M, Bejnordi BE, Palakal M, Vacek PM, Weaver DL, Shepherd JA, Fan B, Mahmoudzadeh AP, Wang J, Johnson JM, Herschorn SD, Sprague BL, Pfeiffer RM, Brinton LA, Sherman ME, et al. Abstract 4235: Application of convolutional neural networks to breast biopsies to uncover tissue correlates of mammographic breast density Cancer Research. 77: 4235-4235. DOI: 10.1158/1538-7445.Am2017-4235 |
0.315 |
|
| 2016 |
Bejnordi BE, Litjens G, Timofeeva N, Otte-Höller I, Homeyer A, Karssemeijer N, van der Laak JA. Stain Specific Standardization of Whole-Slide Histopathological Images. Ieee Transactions On Medical Imaging. 35: 404-15. PMID 26353368 DOI: 10.1109/Tmi.2015.2476509 |
0.392 |
|
| 2015 |
Bejnordi BE, Litjens G, Hermsen M, Karssemeijer N, Laak JAWMvd. A multi-scale superpixel classification approach to the detection of regions of interest in whole slide histopathology images Proceedings of Spie. 9420. DOI: 10.1117/12.2081768 |
0.409 |
|
| 2014 |
Bejnordi BE, Timofeeva N, Otte-Höller I, Karssemeijer N, Laak JAWMvd. Quantitative analysis of stain variability in histology slides and an algorithm for standardization Proceedings of Spie. 9041: 904108. DOI: 10.1117/12.2043683 |
0.381 |
|
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