David R. J. Snead

According to our database1, David R. J. Snead authored at least 35 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2024
CoNIC Challenge: Pushing the frontiers of nuclear detection, segmentation, classification and counting.
Medical Image Anal., February, 2024

Understanding the errors made by artificial intelligence algorithms in histopathology in terms of patient impact.
npj Digit. Medicine, 2024

Large Multimodal Model based Standardisation of Pathology Reports with Confidence and their Prognostic Significance.
CoRR, 2024

2023
One model is all you need: Multi-task learning enables simultaneous histology image segmentation and classification.
Medical Image Anal., 2023

CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting.
CoRR, 2023

Growth Pattern Fingerprinting for Automatic Analysis of Lung Adenocarcinoma Overall Survival.
IEEE Access, 2023

2022
Deep Learning based Prediction of MSI in Colorectal Cancer via Prediction of the Status of MMR Markers.
CoRR, 2022

One Model is All You Need: Multi-Task Learning Enables Simultaneous Histology Image Segmentation and Classification.
CoRR, 2022

2021
Towards Launching AI Algorithms for Cellular Pathology into Clinical & Pharmaceutical Orbits.
CoRR, 2021

CoNIC: Colon Nuclei Identification and Counting Challenge 2022.
CoRR, 2021

Semantic annotation for computational pathology: Multidisciplinary experience and best practice recommendations.
CoRR, 2021

Tumour Nuclear Morphometrics Predict Survival in Lung Adenocarcinoma.
IEEE Access, 2021

Eye tracking in digital pathology: identifying expert and novice patterns in visual search behaviour.
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.
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.
IEEE Trans. Medical Imaging, 2020

Cellular community detection for tissue phenotyping in colorectal cancer histology images.
Medical Image Anal., 2020

Meta-SVDD: Probabilistic Meta-Learning for One-Class Classification in Cancer Histology Images.
CoRR, 2020

Understanding digital pathology performance: an eye tracking study.
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.
Medical Image Anal., 2019

Context-Aware Convolutional Neural Network for Grading of Colorectal Cancer Histology Images.
CoRR, 2019

2018
Novel digital tissue phenotypic signatures of distant metastasis in colorectal cancer.
CoRR, 2018

A Multi-resolution Deep Learning Framework for Lung Adenocarcinoma Growth Pattern Classification.
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.
Proceedings of the Medical Imaging 2018: Digital Pathology, 2018

Cellular Community Detection for Tissue Phenotyping in Histology Images.
Proceedings of the Computational Pathology and Ophthalmic Medical Image Analysis, 2018

2017
Gland segmentation in colon histology images: The glas challenge contest.
Medical Image Anal., 2017

Her2 Challenge Contest: A Detailed Assessment of Automated Her2 Scoring Algorithms in Whole Slide Images of Breast Cancer Tissues.
CoRR, 2017

2016
Locality Sensitive Deep Learning for Detection and Classification of Nuclei in Routine Colon Cancer Histology Images.
IEEE Trans. Medical Imaging, 2016

A model of the spatial tumour heterogeneity in colorectal adenocarcinoma tissue.
BMC Bioinform., 2016

2015
A Stochastic Polygons Model for Glandular Structures in Colon Histology Images.
IEEE Trans. Medical Imaging, 2015

Multi-class stain separation using independent component analysis.
Proceedings of the Medical Imaging 2015: Digital Pathology, 2015

A novel texture descriptor for detection of glandular structures in colon histology images.
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.
Proceedings of the Patch-Based Techniques in Medical Imaging, 2015

A random polygons model of glandular structures in colon histology images.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

A model of the spatial microenvironment of the colonic crypt.
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.
Proceedings of the Medical Imaging 2014: Digital Pathology, 2014


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