| Diagnostic assessment of deep learning algorithms for detection of lymph node metastases in women with breast cancer BE Bejnordi, M Veta, PJ Van Diest, B Van Ginneken, N Karssemeijer, ... Jama 318 (22), 2199-2210, 2017 | 3235 | 2017 |
| Locality sensitive deep learning for detection and classification of nuclei in routine colon cancer histology images K Sirinukunwattana, SEA Raza, YW Tsang, DRJ Snead, IA Cree, ... IEEE transactions on medical imaging 35 (5), 1196-1206, 2016 | 1370 | 2016 |
| Gland segmentation in colon histology images: The glas challenge contest K Sirinukunwattana, JPW Pluim, H Chen, X Qi, PA Heng, YB Guo, ... Medical image analysis 35, 489-502, 2017 | 869 | 2017 |
| Why rankings of biomedical image analysis competitions should be interpreted with care L Maier-Hein, M Eisenmann, A Reinke, S Onogur, M Stankovic, P Scholz, ... Nature communications 9 (1), 5217, 2018 | 330 | 2018 |
| A stochastic polygons model for glandular structures in colon histology images K Sirinukunwattana, DRJ Snead, NM Rajpoot IEEE transactions on medical imaging 34 (11), 2366-2378, 2015 | 270 | 2015 |
| Image-based consensus molecular subtype (imCMS) classification of colorectal cancer using deep learning K Sirinukunwattana, E Domingo, SD Richman, KL Redmond, A Blake, ... Gut 70 (3), 544-554, 2021 | 207 | 2021 |
| Glandular morphometrics for objective grading of colorectal adenocarcinoma histology images R Awan, K Sirinukunwattana, D Epstein, S Jefferyes, U Qidwai, Z Aftab, ... Scientific reports 7 (1), 16852, 2017 | 162 | 2017 |
| Precision immunoprofiling by image analysis and artificial intelligence VH Koelzer, K Sirinukunwattana, J Rittscher, KD Mertz Virchows Archiv 474 (4), 511-522, 2019 | 143 | 2019 |
| Handcrafted features with convolutional neural networks for detection of tumor cells in histology images MN Kashif, SEA Raza, K Sirinukunwattana, M Arif, N Rajpoot 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), 1029-1032, 2016 | 81 | 2016 |
| Persistent homology for fast tumor segmentation in whole slide histology images T Qaiser, K Sirinukunwattana, K Nakane, YW Tsang, D Epstein, N Rajpoot Procedia Computer Science 90, 119-124, 2016 | 81 | 2016 |
| Artificial intelligence–based morphological fingerprinting of megakaryocytes: a new tool for assessing disease in MPN patients K Sirinukunwattana, A Aberdeen, H Theissen, N Sousos, B Psaila, ... Blood advances 4 (14), 3284-3294, 2020 | 61 | 2020 |
| A global covariance descriptor for nuclear atypia scoring in breast histopathology images AM Khan, K Sirinukunwattana, N Rajpoot IEEE journal of biomedical and health informatics 19 (5), 1637-1647, 2015 | 59 | 2015 |
| Improving whole slide segmentation through visual context-a systematic study K Sirinukunwattana, NK Alham, C Verrill, J Rittscher Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 58 | 2018 |
| A novel texture descriptor for detection of glandular structures in colon histology images K Sirinukunwattana, DRJ Snead, NM Rajpoot Medical Imaging 2015: Digital Pathology 9420, 186-194, 2015 | 53 | 2015 |
| Novel digital signatures of tissue phenotypes for predicting distant metastasis in colorectal cancer K Sirinukunwattana, D Snead, D Epstein, Z Aftab, I Mujeeb, YW Tsang, ... Scientific reports 8 (1), 13692, 2018 | 51 | 2018 |
| How to exploit weaknesses in biomedical challenge design and organization A Reinke, M Eisenmann, S Onogur, M Stankovic, P Scholz, PM Full, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 45 | 2018 |
| A spatially constrained deep learning framework for detection of epithelial tumor nuclei in cancer histology images K Sirinukunwattana, SE Ahmed Raza, YW Tsang, D Snead, I Cree, ... Patch-Based Techniques in Medical Imaging: First International Workshop …, 2015 | 43 | 2015 |
| Automated quality assessment of large digitised histology cohorts by artificial intelligence M Haghighat, L Browning, K Sirinukunwattana, S Malacrino, ... Scientific Reports 12 (1), 5002, 2022 | 40 | 2022 |
| Cell words: Modelling the visual appearance of cells in histopathology images K Sirinukunwattana, AM Khan, NM Rajpoot Computerized Medical Imaging and Graphics 42, 16-24, 2015 | 38 | 2015 |
| A bottom-up approach for tumour differentiation in whole slide images of lung adenocarcinoma N Alsubaie, K Sirinukunwattana, SEA Raza, D Snead, N Rajpoot Medical Imaging 2018: Digital Pathology 10581, 104-113, 2018 | 30 | 2018 |
