On generating cell exemplars for detection of mitotic cells in breast cancer histopathology images. - Nada A. Aloraidi; Korsuk Sirinukunwattana; Adnan Mujahid Khan; Nasir M. Rajpoot (EMBC, 2014)

Geodesic Geometric Mean of Regional Covariance Descriptors as an Image-Level Descriptor for Nuclear Atypia Grading in Breast Histology Images. - Adnan Mujahid Khan; Korsuk Sirinukunwattana; Nasir M. Rajpoot (MLMI, 2014)

A Bayesian framework for cell-level protein network analysis for multivariate proteomics image data. - Violeta N. Kovacheva; Korsuk Sirinukunwattana; Nasir M. Rajpoot (Digital Pathology, 2014)

A random polygons model of glandular structures in colon histology images. - Korsuk Sirinukunwattana; David R. J. Snead; Nasir M. Rajpoot (ISBI, 2015)

A Spatially Constrained Deep Learning Framework for Detection of Epithelial Tumor Nuclei in Cancer Histology Images. - Korsuk Sirinukunwattana; Shan E Ahmed Raza; Yee-Wah Tsang; David R. J. Snead; Ian A. Cree; Nasir M. Rajpoot (Patch-MI@MICCAI, 2015)

A novel texture descriptor for detection of glandular structures in colon histology images. - Korsuk Sirinukunwattana; David R. J. Snead; Nasir M. Rajpoot (Digital Pathology, 2015)

Cell words: Modelling the visual appearance of cells in histopathology images. - Korsuk Sirinukunwattana; Adnan Mujahid Khan; Nasir M. Rajpoot (Comput. Medical Imaging Graph., 2015)

A Global Covariance Descriptor for Nuclear Atypia Scoring in Breast Histopathology Images. - Adnan Mujahid Khan; Korsuk Sirinukunwattana; Nasir M. Rajpoot (IEEE J. Biomed. Health Informatics, 2015)

A Stochastic Polygons Model for Glandular Structures in Colon Histology Images. - Korsuk Sirinukunwattana; David R. J. Snead; Nasir M. Rajpoot (IEEE Trans. Medical Imaging, 2015)

Handcrafted features with convolutional neural networks for detection of tumor cells in histology images. - Muhammad Nasim Kashif; Shan E Ahmed Raza; Korsuk Sirinukunwattana; Muhammad Arif 006; Nasir M. Rajpoot (ISBI, 2016)

Persistent Homology for Fast Tumor Segmentation in Whole Slide Histology Images. - Talha Qaiser; Korsuk Sirinukunwattana; Kazuaki Nakane; Yee-Wah Tsang; David B. A. Epstein; Nasir M. Rajpoot (MIUA, 2016)

Robust normalization protocols for multiplexed fluorescence bioimage analysis. - Shan-E-Ahmed Raza; Daniel Langenkämper; Korsuk Sirinukunwattana; David B. A. Epstein; Tim W. Nattkemper; Nasir M. Rajpoot (BioData Min., 2016)

Locality Sensitive Deep Learning for Detection and Classification of Nuclei in Routine Colon Cancer Histology Images. - Korsuk Sirinukunwattana; Shan E Ahmed Raza; Yee-Wah Tsang; David R. J. Snead; Ian A. Cree; Nasir M. Rajpoot (IEEE Trans. Medical Imaging, 2016)

Gland segmentation in colon histology images: The glas challenge contest. - Korsuk Sirinukunwattana; Josien P. W. Pluim; Hao Chen 011; Xiaojuan Qi 001; Pheng-Ann Heng; Yun Bo Guo; Li Yang Wang; Bogdan J. Matuszewski; Elia Bruni; Urko Sanchez; Anton Böhm; Olaf Ronneberger; et al. (Medical Image Anal., 2017)

Quantifying chromosomal copy number alterations in breast ductal carcinoma in situ: A deep learning based approach. - Korsuk Sirinukunwattana; J. Lin; P. Lu; F. Beca; J. Peng; A. Tolwani; A. Stancu; Sushama Varma; Robert West (ISBI, 2018)

How to Exploit Weaknesses in Biomedical Challenge Design and Organization. - Annika Reinke; Matthias Eisenmann; Sinan Onogur; Marko Stankovic 002; Patrick Scholz 001; Peter M. Full; Hrvoje Bogunovic; Bennett A. Landman; Oskar Maier; Bjoern H. Menze; Gregory C. Sharp; Korsuk Sirinukunwattana; et al. (MICCAI (4), 2018)

Improving Whole Slide Segmentation Through Visual Context - A Systematic Study. - Korsuk Sirinukunwattana; Nasullah Khalid Alham; Clare Verrill; Jens Rittscher (MICCAI (2), 2018)

A bottom-up approach for tumour differentiation in whole slide images of lung adenocarcinoma. - Najah M. Alsubaie; Korsuk Sirinukunwattana; Shan E Ahmed Raza; David R. J. Snead; Nasir M. Rajpoot (Digital Pathology, 2018)

Novel digital tissue phenotypic signatures of distant metastasis in colorectal cancer. - Korsuk Sirinukunwattana; David R. J. Snead; David B. A. Epstein; Zia Aftab; Imaad Mujeeb; Yee-Wah Tsang; Ian A. Cree; Nasir M. Rajpoot (CoRR, 2018)

Is the winner really the best? A critical analysis of common research practice in biomedical image analysis competitions. - Lena Maier-Hein; Matthias Eisenmann; Annika Reinke; Sinan Onogur; Marko Stankovic 002; Patrick Scholz 001; Tal Arbel; Hrvoje Bogunovic; Andrew P. Bradley; Aaron Carass; Carolin Feldmann; Alejandro F. Frangi; et al. (CoRR, 2018)

Towards the Identification of Histology Based Subtypes in Prostate Cancer. - Andrea Chatrian; Korsuk Sirinukunwattana; Clare Verrill; Jens Rittscher (ISBI, 2019)

Improving Pathological Distribution Measurements with Bayesian Uncertainty. - Ka Ho Tam; Korsuk Sirinukunwattana; Maria F. Soares; Maria Kaisar; Rutger Ploeg; Jens Rittscher (UNSURE/GRAIL@MICCAI, 2020)

Learning Cellular Phenotypes through Supervision. - Helen Theissen; Tapabrata Chakraborti; Stefano Malacrino; Korsuk Sirinukunwattana; Daniel Royston; Jens Rittscher (EMBC, 2021)

A Graph Based Neural Network Approach to Immune Profiling of Multiplexed Tissue Samples. - Natalia Garcia Martin; Stefano Malacrino; Marta Wojciechowska; Leticia Campo; Helen Jones; David C. Wedge; Chris Holmes; Korsuk Sirinukunwattana; Heba Sailem; Clare Verrill; Jens Rittscher (EMBC, 2022)

Predicting Molecular Traits from Tissue Morphology Through Self-interactive Multi-instance Learning. - Yang Hu; Korsuk Sirinukunwattana; Kezia Gaitskell; Ruby Wood; Clare Verrill; Jens Rittscher (MICCAI (2), 2022)

Enhancing Local Context of Histology Features in Vision Transformers. - Ruby Wood; Korsuk Sirinukunwattana; Enric Domingo; Alexander Sauer; Maxime W. Lafarge; Viktor H. Koelzer; Timothy S. Maughan; Jens Rittscher (AIIIMA/MIABID@MICCAI, 2022)

Joint Prediction of Response to Therapy, Molecular Traits, and Spatial Organisation in Colorectal Cancer Biopsies. - Ruby Wood; Enric Domingo; Korsuk Sirinukunwattana; Maxime W. Lafarge; Viktor H. Koelzer; Timothy S. Maughan; Jens Rittscher (MICCAI (5), 2023)

Self-interactive learning: Fusion and evolution of multi-scale histomorphology features for molecular traits prediction in computational pathology. - Yang Hu; Korsuk Sirinukunwattana; Bin Li 064; Kezia Gaitskell; Enric Domingo; Willem Bonnaffé; Marta Wojciechowska; Ruby Wood; Nasullah Khalid Alham; Stefano Malacrino; Dan J. Woodcock; Clare Verrill; et al. (Medical Image Anal., 2025)