Khalid Abduljabbar

Case45, 1 Pancras Square, London N1C 4AG
London, ENG, United Kingdom

Last Updated: 09/26/2026

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Found 20 publications

QuTILs: Open-Source Image-Based Infiltrating Immune Cell Detection for Research Application.

QuTILs: Open-Source Image-Based Infiltrating Immune Cell Detection for Research Application.

Journal: Research square
Published: May 25, 2026

Artificial intelligence-based tumour infiltrating lymphocyte quantification in patients with triple-negative breast cancer: an independent validation study.

Artificial intelligence-based tumour infiltrating lymphocyte quantification in patients with triple-negative breast cancer: an independent validation study.

Journal: The Lancet. Oncology
Published: November 17, 2025

AI-powered and manual assessment of tumor-infiltrating lymphocytes in early HER2-positive breast cancer in NSABP B-41.

AI-powered and manual assessment of tumor-infiltrating lymphocytes in early HER2-positive breast cancer in NSABP B-41.

Journal: NPJ breast cancer
Published: September 08, 2025

Artificial intelligence biomarkers for digital oncology: a case study of tumor-infiltrating lymphocytes in melanoma.

Artificial intelligence biomarkers for digital oncology: a case study of tumor-infiltrating lymphocytes in melanoma.

Journal: EBioMedicine
Published: August 23, 2023

Image-based multiplex immune profiling of cancer tissues: translational implications. A report of the International Immuno-oncology Biomarker Working Group on Breast Cancer.

Image-based multiplex immune profiling of cancer tissues: translational implications. A report of the International Immuno-oncology Biomarker Working Group on Breast Cancer.

Journal: The Journal of pathology
Published: June 15, 2023

Spatial analyses of immune cell infiltration in cancer: current methods and future directions: A report of the International Immuno-Oncology Biomarker Working Group on Breast Cancer.

Spatial analyses of immune cell infiltration in cancer: current methods and future directions: A report of the International Immuno-Oncology Biomarker Working Group on Breast Cancer.

Journal: The Journal of pathology
Published: June 01, 2023

Pitfalls in machine learning-based assessment of tumor-infiltrating lymphocytes in breast cancer: A report of the International Immuno-Oncology Biomarker Working Group on Breast Cancer

Pitfalls in machine learning-based assessment of tumor-infiltrating lymphocytes in breast cancer: A report of the International Immuno-Oncology Biomarker Working Group on Breast Cancer

Journal: The Journal of pathology
Published: April 21, 2023

Self-supervised deep learning for highly efficient spatial immunophenotyping.

Self-supervised deep learning for highly efficient spatial immunophenotyping.

Journal: EBioMedicine
Published: February 14, 2023

The artificial intelligence-based model ANORAK improves histopathological grading of lung adenocarcinoma.

The artificial intelligence-based model ANORAK improves histopathological grading of lung adenocarcinoma.

Journal: Nature cancer
Published: December 06, 2022

Spatial Positioning of Immune Hotspots Reflects the Interplay between B and T Cells in Lung Squamous Cell Carcinoma.

Spatial Positioning of Immune Hotspots Reflects the Interplay between B and T Cells in Lung Squamous Cell Carcinoma.

Journal: Cancer research
Published: August 16, 2022

Comparative Evaluation of Tumor-Infiltrating Lymphocytes in Companion Animals: Immuno-Oncology as a Relevant Translational Model for Cancer Therapy.

Comparative Evaluation of Tumor-Infiltrating Lymphocytes in Companion Animals: Immuno-Oncology as a Relevant Translational Model for Cancer Therapy.

Journal: Cancers
Published: July 15, 2022

Bridging clinic and wildlife care with AI-powered pan-species computational pathology.

Bridging clinic and wildlife care with AI-powered pan-species computational pathology.

Journal: Nature communications
Published: March 21, 2022
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Last Updated: 09/26/2026