Simon Graham

Orcid: 0000-0002-2214-8212

According to our database1, Simon Graham authored at least 60 papers between 2001 and 2026.

Collaborative distances:

Timeline

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On csauthors.net:

Bibliography

2026
Potential Role of Agentic Artificial Intelligence in Toxicologic Pathology.
CoRR, February, 2026

2025
The case for delegated AI autonomy for Human AI teaming in healthcare.
CoRR, March, 2025

2024

LYSTO: The Lymphocyte Assessment Hackathon and Benchmark Dataset.
IEEE J. Biomed. Health Informatics, March, 2024

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

Mitosis detection, fast and slow: Robust and efficient detection of mitotic figures.
Medical Image Anal., 2024

HoverFast: an accurate, high-throughput, clinically deployable nuclear segmentation tool for brightfield digital pathology images.
J. Open Source Softw., 2024

An Automated Pipeline for Tumour-Infiltrating Lymphocyte Scoring in Breast Cancer.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 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

LYSTO: The Lymphocyte Assessment Hackathon and Benchmark Dataset.
CoRR, 2023

Nuclear Segmentation and Classification: On Color & Compression Generalization.
CoRR, 2023

Accurate segmentation of nuclear instances using a double-stage neural network.
Proceedings of the Medical Imaging 2023: Digital and Computational Pathology, 2023

2022








SAFRON: Stitching Across the Frontier Network for Generating Colorectal Cancer Histology Images.
Medical Image Anal., 2022

DigestPath: A benchmark dataset with challenge review for the pathological detection and segmentation of digestive-system.
Medical Image Anal., 2022

TIAger: Tumor-Infiltrating Lymphocyte Scoring in Breast Cancer for the TiGER Challenge.
CoRR, 2022

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

Nuclear Segmentation and Classification: On Color and Compression Generalization.
Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022

Neural Graph Modelling of Whole Slide Images for Survival Ranking.
Proceedings of the Learning on Graphs Conference, 2022

IMPaSh: A Novel Domain-Shift Resistant Representation for Colorectal Cancer Tissue Classification.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2021

MoNuSAC2020: A Multi-Organ Nuclei Segmentation and Classification Challenge.
IEEE Trans. Medical Imaging, 2021

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

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

Simultaneous Nuclear Instance and Layer Segmentation in Oral Epithelial Dysplasia.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 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
Localisation and symmetry in computational pathology.
PhD thesis, 2020

A Multi-Organ Nucleus Segmentation Challenge.
IEEE Trans. Medical Imaging, 2020

Dense Steerable Filter CNNs for Exploiting Rotational Symmetry in Histology Images.
IEEE Trans. Medical Imaging, 2020

FABnet: feature attention-based network for simultaneous segmentation of microvessels and nerves in routine histology images of oral cancer.
Neural Comput. Appl., 2020

SAFRON: Stitching Across the Frontier for Generating Colorectal Cancer Histology Images.
CoRR, 2020

PanNuke Dataset Extension, Insights and Baselines.
CoRR, 2020

Capturing Cellular Topology in Multi-Gigapixel Pathology Images.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Fast ScanNet: Fast and Dense Analysis of Multi-Gigapixel Whole-Slide Images for Cancer Metastasis Detection.
IEEE Trans. Medical Imaging, 2019

Micro-Net: A unified model for segmentation of various objects in microscopy images.
Medical Image Anal., 2019

Hover-Net: Simultaneous segmentation and classification of nuclei in multi-tissue histology images.
Medical Image Anal., 2019

MILD-Net: Minimal information loss dilated network for gland instance segmentation in colon histology images.
Medical Image Anal., 2019

CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal Cancer Histology Images.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Rota-Net: Rotation Equivariant Network for Simultaneous Gland and Lumen Segmentation in Colon Histology Images.
Proceedings of the Digital Pathology - 15th European Congress, 2019

2018
XY Network for Nuclear Segmentation in Multi-Tissue Histology Images.
CoRR, 2018

Methods for Segmentation and Classification of Digital Microscopy Tissue Images.
CoRR, 2018

Predicting breast tumor proliferation from whole-slide images: the TUPAC16 challenge.
CoRR, 2018

MILD-Net: Minimal Information Loss Dilated Network for Gland Instance Segmentation in Colon Histology Images.
CoRR, 2018

Classification of lung cancer histology images using patch-level summary statistics.
Proceedings of the Medical Imaging 2018: Digital Pathology, 2018

Uncertainty Driven Pooling Network for Microvessel Segmentation in Routine Histology Images.
Proceedings of the Computational Pathology and Ophthalmic Medical Image Analysis, 2018

Leveraging Unlabeled Whole-Slide-Images for Mitosis Detection.
Proceedings of the Computational Pathology and Ophthalmic Medical Image Analysis, 2018

SAMS-NET: Stain-aware multi-scale network for instance-based nuclei segmentation in histology images.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

2001
Mobilizing a graduate school.
Proceedings of the 29th Annual ACM SIGUCCS Conference on User Services 2001, 2001


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