David R. J. Snead

According to our database, David R. J. Snead authored at least 35 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

CoNIC Challenge: Pushing the frontiers of nuclear detection, segmentation, classification and counting.

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

Medical Image Anal., February, 2024

Understanding the errors made by artificial intelligence algorithms in histopathology in terms of patient impact.

Harriet Evans, David R. J. Snead

npj Digit. Medicine, 2024

Large Multimodal Model based Standardisation of Pathology Reports with Confidence and their Prognostic Significance.

Ethar Alzaid, Gabriele Pergola, Harriet Evans, David R. J. Snead, Fayyaz Minhas

CoRR, 2024

2023

One model is all you need: Multi-task learning enables simultaneous histology image segmentation and classification.

Simon Graham, Quoc Dang Vu, Mostafa Jahanifar, Shan-E-Ahmed Raza, Fayyaz A. Afsar, David R. J. Snead, Nasir M. Rajpoot

Medical Image Anal., 2023

CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting.

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

CoRR, 2023

Growth Pattern Fingerprinting for Automatic Analysis of Lung Adenocarcinoma Overall Survival.

Najah M. Alsubaie, Shan-E-Ahmed Raza, David R. J. Snead, Nasir M. Rajpoot

IEEE Access, 2023

2022

Deep Learning based Prediction of MSI in Colorectal Cancer via Prediction of the Status of MMR Markers.

Ruqayya Awan, Mohammed Nimir, Shan E Ahmed Raza, Johannes Lotz, David R. J. Snead, Andrew Robison, Nasir M. Rajpoot

CoRR, 2022

One Model is All You Need: Multi-Task Learning Enables Simultaneous Histology Image Segmentation and Classification.

Simon Graham, Quoc Dang Vu, Mostafa Jahanifar, Fayyaz A. Minhas, David R. J. Snead, Nasir M. Rajpoot

CoRR, 2022

2021

Towards Launching AI Algorithms for Cellular Pathology into Clinical & Pharmaceutical Orbits.

Amina Asif, Kashif Rajpoot, David R. J. Snead, Fayyaz A. Minhas, Nasir M. Rajpoot

CoRR, 2021

CoNIC: Colon Nuclei Identification and Counting Challenge 2022.

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

CoRR, 2021

Semantic annotation for computational pathology: Multidisciplinary experience and best practice recommendations.

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

CoRR, 2021

Tumour Nuclear Morphometrics Predict Survival in Lung Adenocarcinoma.

Najah M. Alsubaie, David R. J. Snead, Nasir M. Rajpoot

IEEE Access, 2021

Eye tracking in digital pathology: identifying expert and novice patterns in visual search behaviour.

Ellhia Sudin, Dorina Roy, Nourdin Kadi, Panagiotis Triantafyllakis, Guprit Atwal, Alastair G. Gale, Ian Ellis, David R. J. Snead, Yan Chen

Proceedings of the Medical Imaging 2021: Digital Pathology, Online, February 15-19, 2021, 2021

Lizard: A Large-Scale Dataset for Colonic Nuclear Instance Segmentation and Classification.

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

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

2020

Context-Aware Convolutional Neural Network for Grading of Colorectal Cancer Histology Images.

Muhammad Shaban, Ruqayya Awan, Muhammad Moazam Fraz, Ayesha Azam, Yee-Wah Tsang, David R. J. Snead, Nasir M. Rajpoot

IEEE Trans. Medical Imaging, 2020

Cellular community detection for tissue phenotyping in colorectal cancer histology images.

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

Medical Image Anal., 2020

Meta-SVDD: Probabilistic Meta-Learning for One-Class Classification in Cancer Histology Images.

Jevgenij Gamper, Brandon Chan, Yee-Wah Tsang, David R. J. Snead, Nasir M. Rajpoot

CoRR, 2020

Understanding digital pathology performance: an eye tracking study.

Amanda Koh, Dorina Roy, Alastair G. Gale, Raluca Mihai, Guprit Atwal, Ian O. Ellis, David R. J. Snead, Yan Chen

Proceedings of the Medical Imaging 2020: Image Perception, 2020

2019

MILD-Net: Minimal information loss dilated network for gland instance segmentation in colon histology images.

Simon Graham, Hao Chen, Jevgenij Gamper, Qi Dou, Pheng-Ann Heng, David R. J. Snead, Yee-Wah Tsang, Nasir M. Rajpoot

Medical Image Anal., 2019

Context-Aware Convolutional Neural Network for Grading of Colorectal Cancer Histology Images.

Muhammad Shaban, Ruqayya Awan, Muhammad Moazam Fraz, Ayesha Azam, David R. J. Snead, Nasir M. Rajpoot

CoRR, 2019

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

A Multi-resolution Deep Learning Framework for Lung Adenocarcinoma Growth Pattern Classification.

Najah M. Alsubaie, Muhammad Shaban, David R. J. Snead, Syed Ali Khurram, Nasir M. Rajpoot

Proceedings of the Medical Image Understanding and Analysis - 22nd Conference, 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

Proceedings of the Medical Imaging 2018: Digital Pathology, 2018

Cellular Community Detection for Tissue Phenotyping in Histology Images.

Sajid Javed, Muhammad Moazam Fraz, David B. A. Epstein, David R. J. Snead, Nasir M. Rajpoot

Proceedings of the Computational Pathology and Ophthalmic Medical Image Analysis, 2018

2017

Gland segmentation in colon histology images: The glas challenge contest.

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

Medical Image Anal., 2017

Her2 Challenge Contest: A Detailed Assessment of Automated Her2 Scoring Algorithms in Whole Slide Images of Breast Cancer Tissues.

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

CoRR, 2017

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

A model of the spatial tumour heterogeneity in colorectal adenocarcinoma tissue.

Violeta N. Kovacheva, David R. J. Snead, Nasir M. Rajpoot

BMC Bioinform., 2016

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

Multi-class stain separation using independent component analysis.

Nicholas Trahearn, David R. J. Snead, Ian A. Cree, Nasir M. Rajpoot

Proceedings of the Medical Imaging 2015: Digital Pathology, 2015

A novel texture descriptor for detection of glandular structures in colon histology images.

Korsuk Sirinukunwattana, David R. J. Snead, Nasir M. Rajpoot

Proceedings of the Medical Imaging 2015: Digital Pathology, 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

Proceedings of the Patch-Based Techniques in Medical Imaging, 2015

A random polygons model of glandular structures in colon histology images.

Korsuk Sirinukunwattana, David R. J. Snead, Nasir M. Rajpoot

Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

A model of the spatial microenvironment of the colonic crypt.

Violeta N. Kovacheva, David R. J. Snead, Nasir M. Rajpoot

Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

2014

A fast method for approximate registration of whole-slide images of serial sections using local curvature.

Nicholas Trahearn, David B. A. Epstein, David R. J. Snead, Ian A. Cree, Nasir M. Rajpoot

Proceedings of the Medical Imaging 2014: Digital Pathology, 2014