Ayesha Azam

According to our database, Ayesha Azam authored at least 11 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Joint Multiscale Image Learning for Segmentation in Macroscopic and Microscopic Pathology Images.

Yijie Zhu, Ayesha Azam, Ibrahim Alsanie, Ricardo Marques, Syed Ali Khurram, Shan-E-Ahmed Raza

Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

2025

CellOMaps: A compact representation for robust classification of lung adenocarcinoma growth patterns.

Arwa Al-Rubaian, Gozde Nur Gunesli, Wajd A. Althakfi, Ayesha Azam, David R. J. Snead, Nasir M. Rajpoot, Shan E Ahmed Raza

Comput. Biol. Medicine, 2025

PS3: A Multimodal Transformer Integrating Pathology Reports with Histology Images and Biological Pathways for Cancer Survival Prediction.

Manahil Raza, Ayesha Azam, Talha Qaiser, Nasir M. Rajpoot

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024

PharmaLLM: A Medicine Prescriber Chatbot Exploiting Open-Source Large Language Models.

Ayesha Azam, Zubaira Naz, Muhammad Usman Ghani Khan

Hum. Centric Intell. Syst., December, 2024

Cell Maps Representation for Lung Adenocarcinoma Growth Patterns Classification in Whole Slide Images.

Arwa Al-Rubaian, Gozde Nur Gunesli, Wajd A. Althakfi, Ayesha Azam, Nasir M. Rajpoot, Shan E Ahmed Raza

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2021

Now You See It, Now You Dont: Adversarial Vulnerabilities in Computational Pathology.

Alex Foote, Amina Asif, Ayesha Azam, Tim Marshall-Cox, Nasir M. Rajpoot, Fayyaz A. Minhas

CoRR, 2021

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

Simon Graham, Mostafa Jahanifar, Ayesha Azam, Mohammed Nimir, Yee-Wah Tsang, Katherine Dodd, Emily Hero, Harvir Sahota, Atisha Tank, Ksenija Benes, Noorul Wahab, Fayyaz A. Minhas, Shan-E-Ahmed Raza, Hesham Eldaly, Kishore Gopalakrishnan, David R. J. Snead, Nasir M. Rajpoot

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

2020

Context-Aware Convolutional Neural Network for Grading of Colorectal Cancer Histology Images.

Muhammad Shaban, Ruqayya Awan, Muhammad Moazam Fraz, Ayesha Azam, Yee-Wah Tsang, David R. J. Snead, Nasir M. Rajpoot

IEEE Trans. Medical Imaging, 2020

PanNuke Dataset Extension, Insights and Baselines.

Jevgenij Gamper, Navid Alemi Koohbanani, Simon Graham, Mostafa Jahanifar, Syed Ali Khurram, Ayesha Azam, Katherine Hewitt, Nasir M. Rajpoot

CoRR, 2020

2019

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

Simon Graham, Quoc Dang Vu, Shan E Ahmed Raza, Ayesha Azam, Yee-Wah Tsang, Jin Tae Kwak, Nasir M. Rajpoot

Medical Image Anal., 2019

Context-Aware Convolutional Neural Network for Grading of Colorectal Cancer Histology Images.

Muhammad Shaban, Ruqayya Awan, Muhammad Moazam Fraz, Ayesha Azam, David R. J. Snead, Nasir M. Rajpoot

CoRR, 2019