Korsuk Sirinukunwattana

Publication Activity (10 Years)

Years Active: 2014-2023
Publications (10 Years): 21

Top Topics

Biomedical Image Analysis

Histopathology Images

Colorectal Cancer

Convolutional Neural Networks

Top Venues

Medical Imaging: Digital Pathology

Publications

Ruby Wood, Enric Domingo, Korsuk Sirinukunwattana, Maxime W. Lafarge, Viktor H. Koelzer, Timothy S. Maughan, Jens Rittscher
Joint Prediction of Response to Therapy, Molecular Traits, and Spatial Organisation in Colorectal Cancer Biopsies. MICCAI (5) (2023)
Ruby Wood, Korsuk Sirinukunwattana, Enric Domingo, Alexander Sauer, Maxime W. Lafarge, Viktor H. Koelzer, Timothy S. Maughan, Jens Rittscher
Enhancing Local Context of Histology Features in Vision Transformers. AIIIMA/MIABID@MICCAI (2022)
Natalia Garcia Martin, Stefano Malacrino, Marta Wojciechowska, Leticia Campo, Helen Jones, David C. Wedge, Chris Holmes, Korsuk Sirinukunwattana, Heba Sailem, Clare Verrill, Jens Rittscher
A Graph Based Neural Network Approach to Immune Profiling of Multiplexed Tissue Samples. CoRR (2022)
Yang Hu, Korsuk Sirinukunwattana, Kezia Gaitskell, Ruby Wood, Clare Verrill, Jens Rittscher
Predicting Molecular Traits from Tissue Morphology Through Self-interactive Multi-instance Learning. MICCAI (2) (2022)
Natalia Garcia Martin, Stefano Malacrino, Marta Wojciechowska, Leticia Campo, Helen Jones, David C. Wedge, Chris Holmes, Korsuk Sirinukunwattana, Heba Sailem, Clare Verrill, Jens Rittscher
A Graph Based Neural Network Approach to Immune Profiling of Multiplexed Tissue Samples. EMBC (2022)
Helen Theissen, Tapabrata Chakraborti, Stefano Malacrino, Korsuk Sirinukunwattana, Daniel Royston, Jens Rittscher
Learning Cellular Phenotypes through Supervision. EMBC (2021)
Ka Ho Tam, Korsuk Sirinukunwattana, Maria F. Soares, Maria Kaisar, Rutger Ploeg, Jens Rittscher
Improving Pathological Distribution Measurements with Bayesian Uncertainty. UNSURE/GRAIL@MICCAI (2020)
Andrea Chatrian, Korsuk Sirinukunwattana, Clare Verrill, Jens Rittscher
Towards the Identification of Histology Based Subtypes in Prostate Cancer. ISBI (2019)
Korsuk Sirinukunwattana, Nasullah Khalid Alham, Clare Verrill, Jens Rittscher
Improving Whole Slide Segmentation Through Visual Context - A Systematic Study. MICCAI (2) (2018)
Annika Reinke, Matthias Eisenmann, Sinan Onogur, Marko Stankovic, Patrick Scholz, Peter M. Full, Hrvoje Bogunovic, Bennett A. Landman, Oskar Maier, Bjoern H. Menze, Gregory C. Sharp, Korsuk Sirinukunwattana, Stefanie Speidel, Fons van der Sommen, Guoyan Zheng, Henning Müller, Michal Kozubek, Tal Arbel, Andrew P. Bradley, Pierre Jannin, Annette Kopp-Schneider, Lena Maier-Hein
How to Exploit Weaknesses in Biomedical Challenge Design and Organization. MICCAI (4) (2018)
Najah Alsubaie, Korsuk Sirinukunwattana, Shan e Ahmed Raza, David R. J. Snead, Nasir M. Rajpoot
A bottom-up approach for tumour differentiation in whole slide images of lung adenocarcinoma. Medical Imaging: Digital Pathology (2018)
Korsuk Sirinukunwattana, David R. J. Snead, David B. A. Epstein, Zia Aftab, Imaad Mujeeb, Yee-Wah Tsang, Ian A. Cree, Nasir M. Rajpoot
Novel digital tissue phenotypic signatures of distant metastasis in colorectal cancer. CoRR (2018)
Korsuk Sirinukunwattana, Nasullah Khalid Alham, Clare Verrill, Jens Rittscher
Improving Whole Slide Segmentation Through Visual Context - A Systematic Study. CoRR (2018)
Lena Maier-Hein, Matthias Eisenmann, Annika Reinke, Sinan Onogur, Marko Stankovic, Patrick Scholz, Tal Arbel, Hrvoje Bogunovic, Andrew P. Bradley, Aaron Carass, Carolin Feldmann, Alejandro F. Frangi, Peter M. Full, Bram van Ginneken, Allan Hanbury, Katrin Honauer, Michal Kozubek, Bennett A. Landman, Keno März, Oskar Maier, Klaus H. Maier-Hein, Bjoern H. Menze, Henning Müller, Peter F. Neher, Wiro J. Niessen, Nasir M. Rajpoot, Gregory C. Sharp, Korsuk Sirinukunwattana, Stefanie Speidel, Christian Stock, Danail Stoyanov, Abdel Aziz Taha, Fons van der Sommen, Ching-Wei Wang, Marc-André Weber, Guoyan Zheng, Pierre Jannin, Annette Kopp-Schneider
Is the winner really the best? A critical analysis of common research practice in biomedical image analysis competitions. CoRR (2018)
Korsuk Sirinukunwattana, J. Lin, P. Lu, F. Beca, J. Peng, A. Tolwani, A. Stancu, Sushama Varma, Robert West
Quantifying chromosomal copy number alterations in breast ductal carcinoma in situ: A deep learning based approach. ISBI (2018)
Korsuk Sirinukunwattana, Josien P. W. Pluim, Hao Chen, Xiaojuan Qi, Pheng-Ann Heng, Yun Bo Guo, Li Yang Wang, Bogdan J. Matuszewski, Elia Bruni, Urko Sanchez, Anton Böhm, Olaf Ronneberger, Bassem Ben Cheikh, Daniel Racoceanu, Philipp Kainz, Michael Pfeiffer, Martin Urschler, David R. J. Snead, Nasir M. Rajpoot
Gland segmentation in colon histology images: The glas challenge contest. Medical Image Anal. 35 (2017)
Korsuk Sirinukunwattana, Josien P. W. Pluim, Hao Chen, Xiaojuan Qi, Pheng-Ann Heng, Yun Bo Guo, Li Yang Wang, Bogdan J. Matuszewski, Elia Bruni, Urko Sanchez, Anton Böhm, Olaf Ronneberger, Bassem Ben Cheikh, Daniel Racoceanu, Philipp Kainz, Michael Pfeiffer, Martin Urschler, David R. J. Snead, Nasir M. Rajpoot
Gland Segmentation in Colon Histology Images: The GlaS Challenge Contest. CoRR (2016)
Korsuk Sirinukunwattana, Shan e Ahmed Raza, Yee-Wah Tsang, David R. J. Snead, Ian A. Cree, Nasir M. Rajpoot
Locality Sensitive Deep Learning for Detection and Classification of Nuclei in Routine Colon Cancer Histology Images. IEEE Trans. Medical Imaging 35 (5) (2016)
Muhammad Nasim Kashif, Shan-e-Ahmed Raza, Korsuk Sirinukunwattana, Muhammad Arif, Nasir M. Rajpoot
Handcrafted features with convolutional neural networks for detection of tumor cells in histology images. ISBI (2016)
Shan-e-Ahmed Raza, Daniel Langenkämper, Korsuk Sirinukunwattana, David B. A. Epstein, Tim W. Nattkemper, Nasir M. Rajpoot
Robust normalization protocols for multiplexed fluorescence bioimage analysis. BioData Min. 9 (2016)
Talha Qaiser, Korsuk Sirinukunwattana, Kazuaki Nakane, Yee-Wah Tsang, David B. A. Epstein, Nasir M. Rajpoot
Persistent Homology for Fast Tumor Segmentation in Whole Slide Histology Images. MIUA (2016)
Korsuk Sirinukunwattana, David R. J. Snead, Nasir M. Rajpoot
A novel texture descriptor for detection of glandular structures in colon histology images. Medical Imaging: Digital Pathology (2015)
Korsuk Sirinukunwattana, Shan e Ahmed Raza, Yee-Wah Tsang, David R. J. Snead, Ian A. Cree, Nasir M. Rajpoot
A Spatially Constrained Deep Learning Framework for Detection of Epithelial Tumor Nuclei in Cancer Histology Images. Patch-MI@MICCAI (2015)
Adnan Mujahid Khan, Korsuk Sirinukunwattana, Nasir M. Rajpoot
A Global Covariance Descriptor for Nuclear Atypia Scoring in Breast Histopathology Images. IEEE J. Biomed. Health Informatics 19 (5) (2015)
Korsuk Sirinukunwattana, David R. J. Snead, Nasir M. Rajpoot
A Stochastic Polygons Model for Glandular Structures in Colon Histology Images. IEEE Trans. Medical Imaging 34 (11) (2015)
Korsuk Sirinukunwattana, Adnan Mujahid Khan, Nasir M. Rajpoot
Cell words: Modelling the visual appearance of cells in histopathology images. Comput. Medical Imaging Graph. 42 (2015)
Korsuk Sirinukunwattana, David R. J. Snead, Nasir M. Rajpoot
A random polygons model of glandular structures in colon histology images. ISBI (2015)
Violeta N. Kovacheva, Korsuk Sirinukunwattana, Nasir M. Rajpoot
A Bayesian framework for cell-level protein network analysis for multivariate proteomics image data. Medical Imaging: Digital Pathology (2014)
Adnan Mujahid Khan, Korsuk Sirinukunwattana, Nasir M. Rajpoot
Geodesic Geometric Mean of Regional Covariance Descriptors as an Image-Level Descriptor for Nuclear Atypia Grading in Breast Histology Images. MLMI (2014)
Nada A. Aloraidi, Korsuk Sirinukunwattana, Adnan Mujahid Khan, Nasir M. Rajpoot
On generating cell exemplars for detection of mitotic cells in breast cancer histopathology images. EMBC (2014)