Simon Graham

Orcid: 0000-0002-2214-8212

According to our database1, Simon Graham authored at least 55 papers between 2001 and 2024.

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Bibliography

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

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

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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