VISION Lab

Visual Intelligence for Scalable Imaging and Open-source iNnovation

Advancing computational pathology, multiplex imaging, and visual intelligence through open‑source, scalable AI research.

About the Lab

The VISION Lab advances research at the intersection of computational pathology, multiplex tissue imaging, computer vision, and scalable AI systems. We develop novel methods, software tools, and machine learning models that enable high‑resolution analysis of whole‑slide images, multiplex imaging platforms, and multimodal biomedical datasets. A key focus of the lab is to build open‑source, reproducible, and trustworthy AI platforms empowering global research communities through tools such as TIAToolbox.

Our mission is to translate visual intelligence into practical, clinically relevant solutions by collaborating across disciplines, including pathology, oncology, radiology, computer science, and systems biology. Through international partnerships and a commitment to open innovation, VISION Lab aims to shape the future of AI‑driven imaging, digital diagnostics, and tissue analytics.

Research Themes

Computational Pathology
Multiplex Tissue Imaging
Computer Vision and Deep Learning
Multimodal Data Integration
Open-Source AI & Software Systems

Projects Led by VISION Lab

HistoMaps funded by MRC – Stain‑agnostic tissue representation learning for scalable tumour microenvironment mapping.

INSPIRE (UK–Malaysia) funded by British Council - AI and multimodal imaging methods for identifying diagnostic biomarkers in nasopharyngeal carcinoma prevalent in LMIC populations.

Collaborative Projects

TIAToolbox – (Led by Raza) – The TIA Centre’s flagship project, an open‑source computational pathology library, co‑developed with researchers across Warwick and international collaborators.
BIGPICTURELink opens in a new window – funded by the ERC, led by Radboud, Warwick investigators Rajpoot & Raza
COBIx – funded by NIHR, led by Rajpoot, Multi-site validation study of the Colon and Rectal Endoscopic Biopsy (COBIx) reporting tool

Past Projects (including Collaborative Projects)

Precision VISION – funded by CRUK, led by Prof Ali Khurram (Sheffield), Warwick investigator Raza
PathLAKE – funded by Innovate UK, led by Rajpoot
PathLAKE plus – funded by Innovate UK, led by Rajpoot

People

Dr Shan E Ahmed Raza, Associate Professor

Dr Behnaz Elhaminia, Research Fellow

Dr Gozde Gunesli, Research Fellow

Jiaqi Lv, PhD Student

Esha Nasir, PhD Student

Bashayer Abdallah, PhD Student

Yijie Zhu, PhD Student

Alumini

Dr Abdullah Alsalemi

Publications

Please click here for a full list of publications.

Software & Resources

TIAToolbox – Open‑source computational pathology
KongNetLink opens in a new window – Cell Detection and Classification using winner of MONKEYLink opens in a new window, PUMALink opens in a new window and MIDOG2025Link opens in a new window grand challenges
CORELink opens in a new window – A Cell-Level Coarse-to-Fine Image Registration Engine for Multi-stain Image Alignment

Our Collaborators

We are working with partners across the UK, USA, Europe, Malaysia, Japan, and beyond to develop AI‑driven solutions aligned with healthcare needs in diverse populations.

Join Us

We welcome enquiries from motivated PhD students, postdocs, and collaborators interested in computational pathology, imaging AI, and multimodal data science.

Contact

Address: VISION Lab, TIA Centre, University of Warwick, Coventry, CV4 7AL

Email: shan.raza@warwick.ac.uk