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 (Digital Pathology, 2014)

A model of the spatial microenvironment of the colonic crypt. - Violeta N. Kovacheva; David R. J. Snead; Nasir M. Rajpoot (ISBI, 2015)

A random polygons model of glandular structures in colon histology images. - Korsuk Sirinukunwattana; David R. J. Snead; Nasir M. Rajpoot (ISBI, 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 (Patch-MI@MICCAI, 2015)

A novel texture descriptor for detection of glandular structures in colon histology images. - Korsuk Sirinukunwattana; David R. J. Snead; Nasir M. Rajpoot (Digital Pathology, 2015)

Multi-class stain separation using independent component analysis. - Nicholas Trahearn; David R. J. Snead; Ian A. Cree; Nasir M. Rajpoot (Digital Pathology, 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)

A model of the spatial tumour heterogeneity in colorectal adenocarcinoma tissue. - Violeta N. Kovacheva; David R. J. Snead; Nasir M. Rajpoot (BMC Bioinform., 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)

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 007; et al. (CoRR, 2017)

Gland segmentation in colon histology images: The glas challenge contest. - Korsuk Sirinukunwattana; Josien P. W. Pluim; Hao Chen 011; Xiaojuan Qi 001; Pheng-Ann Heng; Yun Bo Guo; Li Yang Wang; Bogdan J. Matuszewski; Elia Bruni; Urko Sanchez; Anton Böhm; Olaf Ronneberger; et al. (Medical Image Anal., 2017)

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 (COMPAY/OMIA@MICCAI, 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 (Digital Pathology, 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 (MIUA, 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)

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)

MILD-Net: Minimal information loss dilated network for gland instance segmentation in colon histology images. - Simon Graham; Hao Chen 011; Jevgenij Gamper; Qi Dou 001; Pheng-Ann Heng; David R. J. Snead; Yee-Wah Tsang; Nasir M. Rajpoot (Medical Image Anal., 2019)

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 012 (Image Perception, Observer Performance, and Technology Assessment, 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)

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)

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)

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; et al. (ICCVW, 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 012 (Digital Pathology, 2021)

Tumour Nuclear Morphometrics Predict Survival in Lung Adenocarcinoma. - Najah M. Alsubaie; David R. J. Snead; Nasir M. Rajpoot (IEEE Access, 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; et al. (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)

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)

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)

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 002; David R. J. Snead; Andrew Robison; Nasir M. Rajpoot (CoRR, 2022)

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)

CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting. - Simon Graham; Quoc Dang Vu; Mostafa Jahanifar; Martin Weigert 001; Uwe Schmidt; Wenhua Zhang; Jun Zhang 018; Sen Yang 006; Jinxi Xiang; Xiyue Wang; Josef Lorenz Rumberger; Elias Baumann; et al. (CoRR, 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)

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)

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)

CoNIC Challenge: Pushing the frontiers of nuclear detection, segmentation, classification and counting. - Simon Graham; Quoc Dang Vu; Mostafa Jahanifar; Martin Weigert 001; Uwe Schmidt; Wenhua Zhang; Jun Zhang 018; Sen Yang 006; Jinxi Xiang; Xiyue Wang; Josef Lorenz Rumberger; Elias Baumann; et al. (Medical Image Anal., 2024)

CellOMaps: A compact representation for robust classification of lung adenocarcinoma growth patterns. - Arwa Al-Rubaian; Gozde Nur Gunesli; Wajd A. Althakfi; Ayesha Azam; David R. J. Snead; Nasir M. Rajpoot; Shan E Ahmed Raza (Comput. Biol. Medicine, 2025)

The case for delegated AI autonomy for Human AI teaming in healthcare. - Yan Jia 008; Harriet Evans; Zoë Porter; Simon Graham; John A. McDermid; Tom Lawton; David R. J. Snead; Ibrahim Habli (CoRR, 2025)