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Ayesha S Azam

Observed names: Ayesha Azam, Azam, Ayesha
ORCID: 0000-0003-2681-8153
Observed ORCID: 0000-0003-2681-8153
OpenAlex ID: A5063073209
Hover-Net: Simultaneous segmentation and classification of nuclei in multi-tissue histology images
2019 · Simon Graham, Quoc Dang Vu, et al. · Medical Image Analysis · 1,554
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PanNuke Dataset Extension, Insights and Baselines
2020 · Gamper, Jevgenij, Koohbanani, Navid Alemi, et al. · arXiv (Cornell University) · 364
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Development and validation of a weakly supervised deep learning framework to predict the status of molecular pathways and key mutations in colorectal cancer from routine histology images: a retrospective study
2021 · Mohsin Bilal, Shan E Ahmed Raza, et al. · The Lancet Digital Health · 306
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Lizard: A Large-Scale Dataset for Colonic Nuclear Instance Segmentation and Classification
2021 · Simon Graham, Mostafa Jahanifar, et al. · IEEE International Conference on Computer Vision Workshops · 187
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Context-Aware Convolutional Neural Network for Grading of Colorectal Cancer Histology Images
2020 · Muhammad Shaban, Ruqayya Awan, et al. · IEEE Transactions on Medical Imaging · 183
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Diagnostic concordance and discordance in digital pathology: a systematic review and meta-analysis
2020 · Ayesha S Azam, Islam M Miligy, et al. · Journal of Clinical Pathology · 86
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Deep learning based digital cell profiles for risk stratification of urine cytology images
2021 · Ruqayya Awan, Ksenija Benes, et al. · Cytometry Part A · 52
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Development and validation of artificial intelligence-based prescreening of large-bowel biopsies taken in the UK and Portugal: a retrospective cohort study
2023 · Mohsin Bilal, Yee Wah Tsang, et al. · The Lancet Digital Health · 50
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Screening of normal endoscopic large bowel biopsies with interpretable graph learning: a retrospective study
2023 · Simon Graham, Fayyaz Minhas, et al. · Gut · 35
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Now You See It, Now You Dont: Adversarial Vulnerabilities in Computational Pathology
2021 · Foote, Alex, Asif, Amina, et al. · arXiv (Cornell University) · 17
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Digital pathology for reporting histopathology samples, including cancer screening samples – definitive evidence from a multisite study
2024 · Ayesha S Azam, Yee‐Wah Tsang, et al. · Histopathology · 13
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CellOMaps: A compact representation for robust classification of lung adenocarcinoma growth patterns
2025 · Arwa Al-Rubaian, Gozde N. Gunesli, et al. · Computers in Biology and Medicine · 7
Variation within and between digital pathology and light microscopy for the diagnosis of histopathology slides: blinded crossover comparison study
2024 · David RJ Snead, Ayesha S Azam, et al. · Health Technology Assessment · 7
Oesophageal pemphigoid: a rare cause of dysphagia
2018 · Michael McFarlane, Ayesha Azam, et al. · Clinical Journal of Gastroenterology · 5
What factors influence cellular pathologists’ confidence in case reporting?
2024 · Harriet Evans, Peter K. Kimani, et al. · Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin · 2
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Novel growth pattern‐specific digital marker of TILs improves stratification of lung adenocarcinoma patients
2025 · Arwa AlRubaian, Ayesha Azam, et al. · The Journal of Pathology · 1
Cell Maps Representation for Lung Adenocarcinoma Growth Patterns Classification in Whole Slide Images
2024 · Arwa Al-Rubaian, Gozde N. Gunesli, et al. · IEEE International Symposium on Biomedical Imaging (ISBI) · 1
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Distinguishing non-small-cell carcinoma from its histological mimics: diagnostic challenges in pulmonary pathology
2024 · Andrew Robinson, Ayesha Azam, et al. · Diagnostic histopathology
Diagnostic yield of biliary brushing cytology: A single centre study
2016 · Ayesha Azam
Atypical lipomatous tumour of larynx, closely simulating a spindle cell lipoma: A case report
2016 · Ayesha Azam
An Abstract to See the Adequacy of Essential Criteria Filled While Submitting Specimen Request Forms in Histopathology
2015 · Rubia Farheen Khan, Ayesha Azam, et al. · American Journal of Clinical Pathology
Works count: 21
Citation count: 2,870
H-index: 11
I10-index: 11
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