David R. J. Snead

43 papers Journal 30Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Potential Role of Agentic Artificial Intelligence in Toxicologic Pathology. CoRR Nasir M. Rajpoot, Richard Haworth, Xavier Palazzi, Alok Sharma, Manu Sebastian, Stephen Cahalan, Dinesh S. Bangari, Radhakrishna Sura, James Hartke, Marco Tecilla, Krishna Yekkala, Simon Graham, Quoc Dang Vu, David R. J. Snead, Mostafa Jahanifar, Adnan Mujahid Khan, Erio Barale-Thomas
2025	J	`jnl`	CORE - A Cell-Level Coarse-to-Fine Image Registration Engine for Multi-stain Image Alignment. CoRR Esha Sadia Nasir, Behnaz Elhaminia, Mark Eastwood, Catherine King, Owen Cain, Lorraine Harper, Paul Moss, Dimitrios Chanouzas, David R. J. Snead, Nasir M. Rajpoot, Adam J. Shephard, Shan-E-Ahmed Raza
2025	J	`jnl`	CellOMaps: A Compact Representation for Robust Classification of Lung Adenocarcinoma Growth Patterns. CoRR Arwa Al-Rubaian, Gozde Nur Gunesli, Wajd A. Althakfi, Ayesha Azam, David R. J. Snead, Nasir M. Rajpoot, Shan E Ahmed Raza
2025	J	`jnl`	CellOMaps: A compact representation for robust classification of lung adenocarcinoma growth patterns. Comput. Biol. Medicine Arwa Al-Rubaian, Gozde Nur Gunesli, Wajd A. Althakfi, Ayesha Azam, David R. J. Snead, Nasir M. Rajpoot, Shan E Ahmed Raza
2025	J	`jnl`	The case for delegated AI autonomy for Human AI teaming in healthcare. CoRR Yan Jia, Harriet Evans, Zoë Porter, Simon Graham, John A. McDermid, Tom Lawton, David R. J. Snead, Ibrahim Habli
2024	J	`jnl`	CoNIC Challenge: Pushing the frontiers of nuclear detection, segmentation, classification and counting. Medical Image Anal. 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
2024	J	`jnl`	Large Multimodal Model based Standardisation of Pathology Reports with Confidence and their Prognostic Significance. CoRR Ethar Alzaid, Gabriele Pergola, Harriet Evans, David R. J. Snead, Fayyaz Minhas
2024	J	`jnl`	Understanding the errors made by artificial intelligence algorithms in histopathology in terms of patient impact. npj Digit. Medicine Harriet Evans, David R. J. Snead
2023	J	`jnl`	CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting. CoRR 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
2023	J	`jnl`	Growth Pattern Fingerprinting for Automatic Analysis of Lung Adenocarcinoma Overall Survival. IEEE Access Najah Alsubaie, Shan-E-Ahmed Raza, David R. J. Snead, Nasir M. Rajpoot
2023	J	`jnl`	One model is all you need: Multi-task learning enables simultaneous histology image segmentation and classification. Medical Image Anal. Simon Graham, Quoc Dang Vu, Mostafa Jahanifar, Shan-E-Ahmed Raza, Fayyaz A. Afsar, David R. J. Snead, Nasir M. Rajpoot
2022	J	`jnl`	Deep Learning based Prediction of MSI in Colorectal Cancer via Prediction of the Status of MMR Markers. CoRR Ruqayya Awan, Mohammed Nimir, Shan E Ahmed Raza, Johannes Lotz, David R. J. Snead, Andrew Robison, Nasir M. Rajpoot
2022	J	`jnl`	One Model is All You Need: Multi-Task Learning Enables Simultaneous Histology Image Segmentation and Classification. CoRR Simon Graham, Quoc Dang Vu, Mostafa Jahanifar, Fayyaz A. Minhas, David R. J. Snead, Nasir M. Rajpoot
2021	J	`jnl`	CoNIC: Colon Nuclei Identification and Counting Challenge 2022. CoRR 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
2021	—	`conf`	Eye tracking in digital pathology: identifying expert and novice patterns in visual search behaviour. Digital Pathology Ellhia Sudin, Dorina Roy, Nourdin Kadi, Panagiotis Triantafyllakis, Guprit Atwal, Alastair G. Gale, Ian Ellis, David R. J. Snead, Yan Chen
2021	—	`conf`	Lizard: A Large-Scale Dataset for Colonic Nuclear Instance Segmentation and Classification. ICCVW 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
2021	J	`jnl`	Lizard: A Large-Scale Dataset for Colonic Nuclear Instance Segmentation and Classification. CoRR 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
2021	J	`jnl`	Semantic annotation for computational pathology: Multidisciplinary experience and best practice recommendations. CoRR 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
2021	J	`jnl`	Towards Launching AI Algorithms for Cellular Pathology into Clinical & Pharmaceutical Orbits. CoRR Amina Asif, Kashif Rajpoot, David R. J. Snead, Fayyaz A. Minhas, Nasir M. Rajpoot
2021	J	`jnl`	Tumour Nuclear Morphometrics Predict Survival in Lung Adenocarcinoma. IEEE Access Najah M. Alsubaie, David R. J. Snead, Nasir M. Rajpoot
2020	J	`jnl`	Cellular community detection for tissue phenotyping in colorectal cancer histology images. Medical Image Anal. 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
2020	J	`jnl`	Context-Aware Convolutional Neural Network for Grading of Colorectal Cancer Histology Images. IEEE Trans. Medical Imaging Muhammad Shaban, Ruqayya Awan, Muhammad Moazam Fraz, Ayesha Azam, Yee-Wah Tsang, David R. J. Snead, Nasir M. Rajpoot
2020	J	`jnl`	Meta-SVDD: Probabilistic Meta-Learning for One-Class Classification in Cancer Histology Images. CoRR Jevgenij Gamper, Brandon Chan, Yee-Wah Tsang, David R. J. Snead, Nasir M. Rajpoot
2020	—	`conf`	Understanding digital pathology performance: an eye tracking study. Image Perception, Observer Performance, and Technology Assessment Amanda Koh, Dorina Roy, Alastair G. Gale, Raluca Mihai, Guprit Atwal, Ian O. Ellis, David R. J. Snead, Yan Chen
2019	J	`jnl`	Context-Aware Convolutional Neural Network for Grading of Colorectal Cancer Histology Images. CoRR Muhammad Shaban, Ruqayya Awan, Muhammad Moazam Fraz, Ayesha Azam, David R. J. Snead, Nasir M. Rajpoot
2019	J	`jnl`	MILD-Net: Minimal information loss dilated network for gland instance segmentation in colon histology images. Medical Image Anal. Simon Graham, Hao Chen, Jevgenij Gamper, Qi Dou, Pheng-Ann Heng, David R. J. Snead, Yee-Wah Tsang, Nasir M. Rajpoot
2018	—	`conf`	A Multi-resolution Deep Learning Framework for Lung Adenocarcinoma Growth Pattern Classification. MIUA Najah Alsubaie, Muhammad Shaban, David R. J. Snead, Syed Ali Khurram, Nasir M. Rajpoot
2018	—	`conf`	A bottom-up approach for tumour differentiation in whole slide images of lung adenocarcinoma. Digital Pathology Najah Alsubaie, Korsuk Sirinukunwattana, Shan E Ahmed Raza, David R. J. Snead, Nasir M. Rajpoot
2018	—	`conf`	Cellular Community Detection for Tissue Phenotyping in Histology Images. COMPAY/OMIA@MICCAI Sajid Javed, Muhammad Moazam Fraz, David B. A. Epstein, David R. J. Snead, Nasir M. Rajpoot
2018	—	`ed.`	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 COMPAY/OMIA@MICCAI 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
2018	J	`jnl`	Novel digital tissue phenotypic signatures of distant metastasis in colorectal cancer. CoRR Korsuk Sirinukunwattana, David R. J. Snead, David B. A. Epstein, Zia Aftab, Imaad Mujeeb, Yee-Wah Tsang, Ian A. Cree, Nasir M. Rajpoot
2017	J	`jnl`	Gland segmentation in colon histology images: The glas challenge contest. Medical Image Anal. 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
2017	J	`jnl`	Her2 Challenge Contest: A Detailed Assessment of Automated Her2 Scoring Algorithms in Whole Slide Images of Breast Cancer Tissues. CoRR 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
2016	J	`jnl`	A model of the spatial tumour heterogeneity in colorectal adenocarcinoma tissue. BMC Bioinform. Violeta N. Kovacheva, David R. J. Snead, Nasir M. Rajpoot
2016	J	`jnl`	Gland Segmentation in Colon Histology Images: The GlaS Challenge Contest. CoRR 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
2016	J	`jnl`	Locality Sensitive Deep Learning for Detection and Classification of Nuclei in Routine Colon Cancer Histology Images. IEEE Trans. Medical Imaging Korsuk Sirinukunwattana, Shan E Ahmed Raza, Yee-Wah Tsang, David R. J. Snead, Ian A. Cree, Nasir M. Rajpoot
2015	—	`conf`	A Spatially Constrained Deep Learning Framework for Detection of Epithelial Tumor Nuclei in Cancer Histology Images. Patch-MI@MICCAI Korsuk Sirinukunwattana, Shan E Ahmed Raza, Yee-Wah Tsang, David R. J. Snead, Ian A. Cree, Nasir M. Rajpoot
2015	J	`jnl`	A Stochastic Polygons Model for Glandular Structures in Colon Histology Images. IEEE Trans. Medical Imaging Korsuk Sirinukunwattana, David R. J. Snead, Nasir M. Rajpoot
2015	—	`conf`	A model of the spatial microenvironment of the colonic crypt. ISBI Violeta N. Kovacheva, David R. J. Snead, Nasir M. Rajpoot
2015	—	`conf`	A novel texture descriptor for detection of glandular structures in colon histology images. Digital Pathology Korsuk Sirinukunwattana, David R. J. Snead, Nasir M. Rajpoot
2015	—	`conf`	A random polygons model of glandular structures in colon histology images. ISBI Korsuk Sirinukunwattana, David R. J. Snead, Nasir M. Rajpoot
2015	—	`conf`	Multi-class stain separation using independent component analysis. Digital Pathology Nicholas Trahearn, David R. J. Snead, Ian A. Cree, Nasir M. Rajpoot
2014	—	`conf`	A fast method for approximate registration of whole-slide images of serial sections using local curvature. Digital Pathology Nicholas Trahearn, David B. A. Epstein, David R. J. Snead, Ian A. Cree, Nasir M. Rajpoot