Simon Graham

Dataset, July, 2023

TIAToolbox as an end-to-end library for advanced tissue image analytics.

[BibT_eX]

[DOI]

Dataset, May, 2023

TIAToolbox as an end-to-end library for advanced tissue image analytics.

[BibT_eX]

[DOI]

Dataset, March, 2023

TIAToolbox as an end-to-end library for advanced tissue image analytics.

[BibT_eX]

[DOI]

Angelica I. Avilés-Rivero

Dataset, February, 2023

One model is all you need: Multi-task learning enables simultaneous histology image segmentation and classification.

[BibT_eX]

[DOI]

Medical Image Anal., 2023

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

[BibT_eX]

[DOI]

Josef Lorenz Rumberger

Carola-Bibiane Schönlieb

CoRR, 2023

LYSTO: The Lymphocyte Assessment Hackathon and Benchmark Dataset.

[BibT_eX]

[DOI]

CoRR, 2023

Nuclear Segmentation and Classification: On Color & Compression Generalization.

[BibT_eX]

[DOI]

CoRR, 2023

Accurate segmentation of nuclear instances using a double-stage neural network.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2023: Digital and Computational Pathology, 2023

2022

TIAToolbox as an end-to-end library for advanced tissue image analytics.

[BibT_eX]

[DOI]

Dataset, October, 2022

TIAToolbox as an end-to-end library for advanced tissue image analytics.

[BibT_eX]

[DOI]

Dataset, October, 2022

TIAToolbox: An End-to-End Toolbox for Advanced Tissue Image Analytics.

[BibT_eX]

[DOI]

Dataset, July, 2022

TIAToolbox: An End-to-End Toolbox for Advanced Tissue Image Analytics.

[BibT_eX]

[DOI]

Dataset, July, 2022

TIAToolbox: An End-to-End Toolbox for Advanced Tissue Image Analytics.

[BibT_eX]

[DOI]

Dataset, July, 2022

TIAToolbox: An End-to-End Toolbox for Advanced Tissue Image Analytics.

[BibT_eX]

[DOI]

Dataset, July, 2022

TIAToolbox: An End-to-End Toolbox for Advanced Tissue Image Analytics.

[BibT_eX]

[DOI]

Dataset, May, 2022

TIAToolbox: An End-to-End Toolbox for Advanced Tissue Image Analytics.

[BibT_eX]

[DOI]

Dataset, January, 2022

SAFRON: Stitching Across the Frontier Network for Generating Colorectal Cancer Histology Images.

[BibT_eX]

[DOI]

Medical Image Anal., 2022

DigestPath: A benchmark dataset with challenge review for the pathological detection and segmentation of digestive-system.

[BibT_eX]

[DOI]

Ganapathy Krishnamurthi

Callum Christopher Mackenzie

Medical Image Anal., 2022

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

[BibT_eX]

[DOI]

CoRR, 2022

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

[BibT_eX]

[DOI]

CoRR, 2022

Nuclear Segmentation and Classification: On Color and Compression Generalization.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022

Neural Graph Modelling of Whole Slide Images for Survival Ranking.

[BibT_eX]

[DOI]

Muhammad Dawood

Fayyaz ul Amir Afsar Minhas

Mark Eastwood

Proceedings of the Learning on Graphs Conference, 2022

IMPaSh: A Novel Domain-Shift Resistant Representation for Colorectal Cancer Tissue Classification.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2021

TIAToolbox: An End-to-End Toolbox for Advanced Tissue Image Analytics.

[BibT_eX]

[DOI]

Seyed Alireza Fatemi Jahromi

Dataset, December, 2021

MoNuSAC2020: A Multi-Organ Nuclei Segmentation and Classification Challenge.

[BibT_eX]

[DOI]

Ruchika Verma

Neeraj Kumar

Abhijeet Patil

Nikhil Cherian Kurian

Ali Asghar Khani

Ehsan Montahaei

Mahdieh Soleymani Baghshah

Dwarikanath Mahapatra

Lubomira Trnavska

Hanyun Zhang

Priya Lakshmi Narayanan

IEEE Trans. Medical Imaging, 2021

CoNIC: Colon Nuclei Identification and Counting Challenge 2022.

[BibT_eX]

[DOI]

Mostafa Jahanifar

Quoc Dang Vu

CoRR, 2021

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

[BibT_eX]

[DOI]

CoRR, 2021

Simultaneous Nuclear Instance and Layer Segmentation in Oral Epithelial Dysplasia.

[BibT_eX]

[DOI]

Adam J. Shephard

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Lizard: A Large-Scale Dataset for Colonic Nuclear Instance Segmentation and Classification.

[BibT_eX]

[DOI]

Kishore Gopalakrishnan

David R. J. Snead

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

2020

Localisation and symmetry in computational pathology.

[BibT_eX]

[DOI]

PhD thesis, 2020

A Multi-Organ Nucleus Segmentation Challenge.

[BibT_eX]

[DOI]

Ekaterina Sirazitdinova

Khan M. Iftekharuddin

Kaushiki Roy

Debotosh Bhattacharjee

Aníbal Pedraza

Maria Gloria Bueno

Sabarinathan Devanathan

Saravanan Radhakrishnan

IEEE Trans. Medical Imaging, 2020

Dense Steerable Filter CNNs for Exploiting Rotational Symmetry in Histology Images.

[BibT_eX]

[DOI]

David B. A. Epstein

IEEE Trans. Medical Imaging, 2020

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

[BibT_eX]

[DOI]

Neural Comput. Appl., 2020

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

[BibT_eX]

[DOI]

CoRR, 2020

PanNuke Dataset Extension, Insights and Baselines.

[BibT_eX]

[DOI]

Jevgenij Gamper

CoRR, 2020

Capturing Cellular Topology in Multi-Gigapixel Pathology Images.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2019

Micro-Net: A unified model for segmentation of various objects in microscopy images.

[BibT_eX]

[DOI]

Medical Image Anal., 2019

Hover-Net: Simultaneous segmentation and classification of nuclei in multi-tissue histology images.

[BibT_eX]

[DOI]

Medical Image Anal., 2019

MILD-Net: Minimal information loss dilated network for gland instance segmentation in colon histology images.

[BibT_eX]

[DOI]

Medical Image Anal., 2019

CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal Cancer Histology Images.

[BibT_eX]

[DOI]

Yanning Zhou

Muhammad Shaban

Pheng-Ann Heng

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.

[BibT_eX]

[DOI]

David B. A. Epstein

Proceedings of the Digital Pathology - 15th European Congress, 2019

2018

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

[BibT_eX]

[DOI]

CoRR, 2018

Methods for Segmentation and Classification of Digital Microscopy Tissue Images.

[BibT_eX]

[DOI]

CoRR, 2018

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

[BibT_eX]

[DOI]

CoRR, 2018

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

[BibT_eX]

[DOI]

CoRR, 2018

Classification of lung cancer histology images using patch-level summary statistics.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2018: Digital Pathology, 2018

Uncertainty Driven Pooling Network for Microvessel Segmentation in Routine Histology Images.

[BibT_eX]

[DOI]

Proceedings of the Computational Pathology and Ophthalmic Medical Image Analysis, 2018

Leveraging Unlabeled Whole-Slide-Images for Mitosis Detection.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

2001

Mobilizing a graduate school.

[BibT_eX]

[DOI]