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Korsuk Sirinukunwattana
Korsuk Sirinukunwattana
Verified email at eng.ox.ac.uk
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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
19612017
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
9832016
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
4622017
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
1892015
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
1772018
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
95*2021
Precision immunoprofiling by image analysis and artificial intelligence
VH Koelzer, K Sirinukunwattana, J Rittscher, KD Mertz
Virchows Archiv 474 (4), 511-522, 2019
942019
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
902017
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
612016
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
572016
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
482015
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
432015
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
392015
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, ...
International Workshop on Patch-based Techniques in Medical Imaging, 154-162, 2015
372015
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
362018
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
342018
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
312018
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
242020
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
192013
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
152018
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