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2020 – today
- 2024
[j12]Simon Graham
, Quoc Dang Vu, Mostafa Jahanifar, Martin Weigert, Uwe Schmidt, Wenhua Zhang, Jun Zhang, Sen Yang, Jinxi Xiang, Xiyue Wang, Josef Lorenz Rumberger, Elias Baumann, Peter Hirsch, Lihao Liu, Chenyang Hong, Angelica I. Avilés-Rivero, Ayushi Jain, Heeyoung Ahn, Yiyu Hong, Hussam Azzuni, Min Xu, Mohammad Yaqub, Marie-Claire Blache, Benoît Piégu, Bertrand Vernay, Tim Scherr, Moritz Böhland, Katharina Löffler, Jiachen Li, Weiqin Ying, Chixin Wang, David R. J. Snead, Shan-E-Ahmed Raza, Fayyaz Minhas, Nasir M. Rajpoot:
CoNIC Challenge: Pushing the frontiers of nuclear detection, segmentation, classification and counting. Medical Image Anal. 92: 103047 (2024)- [j11]Harriet Evans, David R. J. Snead:
Understanding the errors made by artificial intelligence algorithms in histopathology in terms of patient impact. npj Digit. Medicine 7(1) (2024) - [i13]Ethar Alzaid, Gabriele Pergola, Harriet Evans, David R. J. Snead, Fayyaz Minhas:
Large Multimodal Model based Standardisation of Pathology Reports with Confidence and their Prognostic Significance. CoRR abs/2405.02040 (2024) - 2023
- [j10]Najah M. Alsubaie, Shan-E-Ahmed Raza, David R. J. Snead, Nasir M. Rajpoot:
Growth Pattern Fingerprinting for Automatic Analysis of Lung Adenocarcinoma Overall Survival. IEEE Access 11: 23335-23346 (2023) - [j9]Simon Graham, Quoc Dang Vu, Mostafa Jahanifar, Shan-E-Ahmed Raza, Fayyaz A. Afsar, David R. J. Snead, Nasir M. Rajpoot:
One model is all you need: Multi-task learning enables simultaneous histology image segmentation and classification. Medical Image Anal. 83: 102685 (2023) - [i12]Simon Graham, Quoc Dang Vu, Mostafa Jahanifar, Martin Weigert, Uwe Schmidt, Wenhua Zhang, Jun Zhang, Sen Yang, Jinxi Xiang, Xiyue Wang, Josef Lorenz Rumberger, Elias Baumann, Peter Hirsch, Lihao Liu, Chenyang Hong, Angelica I. Avilés-Rivero, Ayushi Jain, Heeyoung Ahn, Yiyu Hong, Hussam Azzuni, Min Xu, Mohammad Yaqub, Marie-Claire Blache, Benoît Piégu, Bertrand Vernay, Tim Scherr, Moritz Böhland, Katharina Löffler, Jiachen Li, Weiqin Ying, Chixin Wang, Dagmar Kainmueller, Carola-Bibiane Schönlieb, Shuolin Liu, Dhairya Talsania, Yughender Meda, Prakash Mishra, Muhammad Ridzuan, Oliver Neumann, Marcel P. Schilling, Markus Reischl, Ralf Mikut, Banban Huang, Hsiang-Chin Chien, Ching-Ping Wang, Chia-Yen Lee, Hong-Kun Lin, Zaiyi Liu, Xipeng Pan, Chu Han, Jijun Cheng, Muhammad Dawood, Srijay Deshpande, Raja Muhammad Saad Bashir, Adam Shephard, Pedro Costa, João D. Nunes, Aurélio Campilho, Jaime S. Cardoso, Hrishikesh P. S, Densen Puthussery, Devika R. G, Jiji C V, Ye Zhang, Zijie Fang, Zhifan Lin, Yongbing Zhang, Chunhui Lin, Liukun Zhang, Lijian Mao, Min Wu, Thi Tuong Vi Vo, Soo-Hyung Kim, Taebum Lee, Satoshi Kondo, Satoshi Kasai, Pranay Dumbhare, Vedant Phuse, Yash Dubey, Ankush Jamthikar, Trinh Thi Le Vuong, Jin Tae Kwak, Dorsa Ziaei, Hyun Jung, Tianyi Miao, David R. J. Snead, Shan-E-Ahmed Raza, Fayyaz Minhas, Nasir M. Rajpoot:
CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting. CoRR abs/2303.06274 (2023) - 2022
- [i11]Simon Graham, Quoc Dang Vu, Mostafa Jahanifar, Fayyaz A. Minhas, David R. J. Snead, Nasir M. Rajpoot:
One Model is All You Need: Multi-Task Learning Enables Simultaneous Histology Image Segmentation and Classification. CoRR abs/2203.00077 (2022) - [i10]Ruqayya Awan, Mohammed Nimir, Shan E Ahmed Raza, Johannes Lotz, David R. J. Snead, Andrew Robison, Nasir M. Rajpoot:
Deep Learning based Prediction of MSI in Colorectal Cancer via Prediction of the Status of MMR Markers. CoRR abs/2203.00449 (2022) - 2021
- [j8]Najah M. Alsubaie, David R. J. Snead, Nasir M. Rajpoot:
Tumour Nuclear Morphometrics Predict Survival in Lung Adenocarcinoma. IEEE Access 9: 12322-12331 (2021) - [c12]Simon Graham, Mostafa Jahanifar, Ayesha Azam, Mohammed Nimir, Yee-Wah Tsang, Katherine Dodd, Emily Hero, Harvir Sahota, Atisha Tank, Ksenija Benes, Noorul Wahab, Fayyaz A. Minhas, Shan-E-Ahmed Raza, Hesham Eldaly, Kishore Gopalakrishnan, David R. J. Snead, Nasir M. Rajpoot:
Lizard: A Large-Scale Dataset for Colonic Nuclear Instance Segmentation and Classification. ICCVW 2021: 684-693 - [c11]Ellhia Sudin, Dorina Roy, Nourdin Kadi, Panagiotis Triantafyllakis, Guprit Atwal, Alastair G. Gale, Ian Ellis, David R. J. Snead, Yan Chen:
Eye tracking in digital pathology: identifying expert and novice patterns in visual search behaviour. Medical Imaging: Digital Pathology 2021 - [i9]Noor ul Wahab, Islam M. Miligy, Katherine Dodd, Harvir Sahota, Michael Toss, Wenqi Lu, Mostafa Jahanifar, Mohsin Bilal, Simon Graham, Young Park, Giorgos Hadjigeorghiou, Abhir Bhalerao, Ayat Lashen, Asmaa Ibrahim, Ayaka Katayama, Henry O. Ebili, Matthew Parkin, Tom Sorell, Shan E Ahmed Raza, Emily Hero, Hesham Eldaly, Yee-Wah Tsang, Kishore Gopalakrishnan, David R. J. Snead, Emad Rakha, Nasir M. Rajpoot, Fayyaz A. Minhas:
Semantic annotation for computational pathology: Multidisciplinary experience and best practice recommendations. CoRR abs/2106.13689 (2021) - [i8]Simon Graham, Mostafa Jahanifar, Ayesha Azam, Mohammed Nimir, Yee-Wah Tsang, Katherine Dodd, Emily Hero, Harvir Sahota, Atisha Tank, Ksenija Benes, Noorul Wahab, Fayyaz A. Minhas, Shan-E-Ahmed Raza, Hesham Eldaly, Kishore Gopalakrishnan, David R. J. Snead, Nasir M. Rajpoot:
Lizard: A Large-Scale Dataset for Colonic Nuclear Instance Segmentation and Classification. CoRR abs/2108.11195 (2021) - [i7]Simon Graham, Mostafa Jahanifar, Quoc Dang Vu, Giorgos Hadjigeorghiou, Thomas Leech, David R. J. Snead, Shan E Ahmed Raza, Fayyaz A. Minhas, Nasir M. Rajpoot:
CoNIC: Colon Nuclei Identification and Counting Challenge 2022. CoRR abs/2111.14485 (2021) - [i6]Amina Asif, Kashif Rajpoot, David R. J. Snead, Fayyaz A. Minhas, Nasir M. Rajpoot:
Towards Launching AI Algorithms for Cellular Pathology into Clinical & Pharmaceutical Orbits. CoRR abs/2112.09496 (2021) - 2020
- [j7]Sajid Javed, Arif Mahmood, Muhammad Moazam Fraz, Navid Alemi Koohbanani, Ksenija Benes, Yee-Wah Tsang, Katherine Hewitt, David B. A. Epstein, David R. J. Snead, Nasir M. Rajpoot:
Cellular community detection for tissue phenotyping in colorectal cancer histology images. Medical Image Anal. 63: 101696 (2020) - [j6]Muhammad Shaban, Ruqayya Awan, Muhammad Moazam Fraz, Ayesha Azam, Yee-Wah Tsang, David R. J. Snead, Nasir M. Rajpoot:
Context-Aware Convolutional Neural Network for Grading of Colorectal Cancer Histology Images. IEEE Trans. Medical Imaging 39(7): 2395-2405 (2020) - [c10]Amanda Koh, Dorina Roy, Alastair G. Gale, Raluca Mihai, Guprit Atwal, Ian O. Ellis, David R. J. Snead, Yan Chen:
Understanding digital pathology performance: an eye tracking study. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2020: 1131607 - [i5]Jevgenij Gamper, Brandon Chan, Yee-Wah Tsang, David R. J. Snead, Nasir M. Rajpoot:
Meta-SVDD: Probabilistic Meta-Learning for One-Class Classification in Cancer Histology Images. CoRR abs/2003.03109 (2020)
2010 – 2019
- 2019
- [j5]Simon Graham, Hao Chen, Jevgenij Gamper, Qi Dou, Pheng-Ann Heng, David R. J. Snead, Yee-Wah Tsang, Nasir M. Rajpoot:
MILD-Net: Minimal information loss dilated network for gland instance segmentation in colon histology images. Medical Image Anal. 52: 199-211 (2019) - [i4]Muhammad Shaban, Ruqayya Awan, Muhammad Moazam Fraz, Ayesha Azam, David R. J. Snead, Nasir M. Rajpoot:
Context-Aware Convolutional Neural Network for Grading of Colorectal Cancer Histology Images. CoRR abs/1907.09478 (2019) - 2018
- [c9]Sajid Javed, Muhammad Moazam Fraz, David B. A. Epstein, David R. J. Snead, Nasir M. Rajpoot:
Cellular Community Detection for Tissue Phenotyping in Histology Images. COMPAY/OMIA@MICCAI 2018: 120-129 - [c8]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. Medical Imaging: Digital Pathology 2018: 105810E - [c7]Najah M. Alsubaie, Muhammad Shaban, David R. J. Snead, Syed Ali Khurram, Nasir M. Rajpoot:
A Multi-resolution Deep Learning Framework for Lung Adenocarcinoma Growth Pattern Classification. MIUA 2018: 3-11 - [e1]Danail Stoyanov, Zeike Taylor, Francesco Ciompi, Yanwu Xu, Anne L. Martel, Lena Maier-Hein, Nasir M. Rajpoot, Jeroen van der Laak, Mitko Veta, Stephen J. McKenna, David R. J. Snead, Emanuele Trucco, Mona Kathryn Garvin, Xinjian Chen, Hrvoje Bogunovic:
Computational Pathology and Ophthalmic Medical Image Analysis - First International Workshop, COMPAY 2018, and 5th International Workshop, OMIA 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16-20, 2018, Proceedings. Lecture Notes in Computer Science 11039, Springer 2018, ISBN 978-3-030-00948-9 [contents] - [i3]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) - 2017
- [j4]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) - [i2]Talha Qaiser, Abhik Mukherjee, Chaitanya Reddy Pb, Sai Dileep Munugoti, Vamsi Tallam, Tomi Pitkäaho, Taina Lehtimäki, Thomas J. Naughton, Matt Berseth, Aníbal Pedraza, Ramakrishnan Mukundan, Matthew Smith, Abhir Bhalerao, Erik Rodner, Marcel Simon, Joachim Denzler, Chao-Hui Huang, Gloria Bueno, David R. J. Snead, Ian O. Ellis, Mohammad Ilyas, Nasir M. Rajpoot:
Her2 Challenge Contest: A Detailed Assessment of Automated Her2 Scoring Algorithms in Whole Slide Images of Breast Cancer Tissues. CoRR abs/1705.08369 (2017) - 2016
- [j3]Violeta N. Kovacheva, David R. J. Snead, Nasir M. Rajpoot:
A model of the spatial tumour heterogeneity in colorectal adenocarcinoma tissue. BMC Bioinform. 17: 255 (2016) - [j2]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) - [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
- [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]Violeta N. Kovacheva, David R. J. Snead, Nasir M. Rajpoot:
A model of the spatial microenvironment of the colonic crypt. ISBI 2015: 172-176 - [c5]Korsuk Sirinukunwattana, David R. J. Snead, Nasir M. Rajpoot:
A random polygons model of glandular structures in colon histology images. ISBI 2015: 1526-1529 - [c4]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 - [c3]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: 94200S - [c2]Nicholas Trahearn, David R. J. Snead, Ian A. Cree, Nasir M. Rajpoot:
Multi-class stain separation using independent component analysis. Medical Imaging: Digital Pathology 2015: 94200J - 2014
- [c1]Nicholas Trahearn, David B. A. Epstein, David R. J. Snead, Ian A. Cree, Nasir M. Rajpoot:
A fast method for approximate registration of whole-slide images of serial sections using local curvature. Medical Imaging: Digital Pathology 2014: 90410E
Coauthor Index
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