David R. J. Snead

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 33

Top Topics

Colorectal Cancer

Convolutional Neural Network

Statistical Classification

Top Venues

Medical Image Anal.

Medical Imaging: Digital Pathology

IEEE Trans. Medical Imaging

Publications

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 (2024)
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 (2023)
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 (2023)
Najah 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 (2023)
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 (2022)
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 (2022)
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 (2021)
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 (2021)
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 (2021)
Najah Alsubaie, David R. J. Snead, Nasir M. Rajpoot
Tumour Nuclear Morphometrics Predict Survival in Lung Adenocarcinoma. IEEE Access 9 (2021)
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)
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 (2021)
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 (2020)
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 (2020)
Amanda Koh, Dorina Roy, Alastair 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)
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) (2020)
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 (2019)
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 (2019)
Najah 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)
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)
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)
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)
Talha Qaiser, Abhik Mukherjee, Chaitanya Reddy Pb, Sai Dileep Munugoti, Vamsi Tallam, Tomi Pitkäaho, Taina Lehtimäki, Thomas 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 (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)
Violeta N. Kovacheva, David R. J. Snead, Nasir M. Rajpoot
A model of the spatial tumour heterogeneity in colorectal adenocarcinoma tissue. BMC Bioinform. 17 (2016)
Violeta N. Kovacheva, David R. J. Snead, Nasir M. Rajpoot
A model of the spatial microenvironment of the colonic crypt. ISBI (2015)
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)
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)
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, David R. J. Snead, Nasir M. Rajpoot
A random polygons model of glandular structures in colon histology images. ISBI (2015)
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)