Follow
Korsuk Sirinukunwattana
Korsuk Sirinukunwattana
Verified email at eng.ox.ac.uk
Title
Cited by
Cited by
Year
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
28752017
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
12792016
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
7482017
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
2892018
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
2512015
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
1752021
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
1512017
Precision immunoprofiling by image analysis and artificial intelligence
VH Koelzer, K Sirinukunwattana, J Rittscher, KD Mertz
Virchows Archiv 474 (4), 511-522, 2019
1292019
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
782016
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
742016
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
572018
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
562015
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
522015
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
502020
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
492018
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
432018
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
422015
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
382015
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
282022
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
272018
The system can't perform the operation now. Try again later.
Articles 1–20