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Korsuk Sirinukunwattana
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2020 – today
- 2023
- [c19]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: 758-767 - 2022
- [c18]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: 3063-3067 - [c17]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: 130-139 - [c16]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: 154-163 - [i5]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 abs/2202.00813 (2022) - 2021
- [c15]Helen Theissen, Tapabrata Chakraborti, Stefano Malacrino, Korsuk Sirinukunwattana, Daniel Royston, Jens Rittscher:
Learning Cellular Phenotypes through Supervision. EMBC 2021: 3592-3595 - 2020
- [c14]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: 61-70
2010 – 2019
- 2019
- [c13]Andrea Chatrian, Korsuk Sirinukunwattana, Clare Verrill, Jens Rittscher:
Towards the Identification of Histology Based Subtypes in Prostate Cancer. ISBI 2019: 948-952 - [e1]Constantino Carlos Reyes-Aldasoro, Andrew Janowczyk, Mitko Veta, Peter Bankhead, Korsuk Sirinukunwattana:
Digital Pathology - 15th European Congress, ECDP 2019, Warwick, UK, April 10-13, 2019, Proceedings. Lecture Notes in Computer Science 11435, Springer 2019, ISBN 978-3-030-23936-7 [contents] - 2018
- [c12]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: 186-190 - [c11]Korsuk Sirinukunwattana, Nasullah Khalid Alham, Clare Verrill, Jens Rittscher:
Improving Whole Slide Segmentation Through Visual Context - A Systematic Study. MICCAI (2) 2018: 192-200 - [c10]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: 388-395 - [c9]Najah M. 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. Digital Pathology 2018: 105810E - [i4]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 abs/1801.07451 (2018) - [i3]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 abs/1806.02051 (2018) - [i2]Korsuk Sirinukunwattana, Nasullah Khalid Alham, Clare Verrill, Jens Rittscher:
Improving Whole Slide Segmentation Through Visual Context - A Systematic Study. CoRR abs/1806.04259 (2018) - 2017
- [j6]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: 489-502 (2017) - 2016
- [j5]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: 11 (2016) - [j4]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): 1196-1206 (2016) - [c8]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: 1029-1032 - [c7]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: 119-124 - [i1]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 abs/1603.00275 (2016) - 2015
- [j3]Korsuk Sirinukunwattana, Adnan Mujahid Khan, Nasir M. Rajpoot:
Cell words: Modelling the visual appearance of cells in histopathology images. Comput. Medical Imaging Graph. 42: 16-24 (2015) - [j2]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): 1637-1647 (2015) - [j1]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): 2366-2378 (2015) - [c6]Korsuk Sirinukunwattana, David R. J. Snead, Nasir M. Rajpoot:
A random polygons model of glandular structures in colon histology images. ISBI 2015: 1526-1529 - [c5]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: 154-162 - [c4]Korsuk Sirinukunwattana, David R. J. Snead, Nasir M. Rajpoot:
A novel texture descriptor for detection of glandular structures in colon histology images. Digital Pathology 2015: 94200S - 2014
- [c3]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: 3370-3373 - [c2]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: 101-108 - [c1]Violeta N. Kovacheva, Korsuk Sirinukunwattana, Nasir M. Rajpoot:
A Bayesian framework for cell-level protein network analysis for multivariate proteomics image data. Digital Pathology 2014: 904110
Coauthor Index
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