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
11502017
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
6962016
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
2942017
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
1432015
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), 1-13, 2018
882018
Precision immunoprofiling by image analysis and artificial intelligence
VH Koelzer, K Sirinukunwattana, J Rittscher, KD Mertz
Virchows Archiv 474 (4), 511-522, 2019
432019
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), 1-12, 2017
412017
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
402016
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
382016
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, 94200S, 2015
372015
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
332015
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
302015
A spatially constrained deep learning framework for detection of epithelial tumor nuclei in cancer histology images
K Sirinukunwattana, SEA Raza, YW Tsang, D Snead, I Cree, N Rajpoot
International Workshop on Patch-based Techniques in Medical Imaging, 154-162, 2015
272015
How to exploit weaknesses in biomedical challenge design and organization
A Reinke, M Eisenmann, S Onogur, M Stankovic, P Scholz, PM Full, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2018
222018
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), 1-13, 2018
182018
Improving whole slide segmentation through visual context-a systematic study
K Sirinukunwattana, NK Alham, C Verrill, J Rittscher
International Conference on Medical Image Computing and Computer-Assisted …, 2018
162018
Bayesian hierarchical clustering for studying cancer gene expression data with unknown statistics
K Sirinukunwattana, RS Savage, MF Bari, DRJ Snead, NM Rajpoot
PloS one 8 (10), e75748, 2013
162013
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
15*2021
Geodesic geometric mean of regional covariance descriptors as an image-level descriptor for nuclear atypia grading in breast histology images
AM Khan, K Sirinukunwattana, N Rajpoot
International Workshop on Machine Learning in Medical Imaging, 101-108, 2014
102014
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
82020
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Articles 1–20