TIA Warwick

Tissue Image Analytics (TIA) Centre at the University of Warwick

Welcome to the TIA Centre, based in the Department of Computer Science at the University of Warwick. Current research in the TIA Centre is focussed on the application of image analysis and machine learning algorithms in order to further our understanding of the biology and entangled histological patterns of complex diseases such as cancer. We strive to be a hub of research excellence in the area of computational pathology and associated research areas, in order to tackle grand challenges in cancer diagnostics and treatment with a multi-disciplinary team of researchers and to make positive impact on the lives of cancer patients. Our research thrives on a growing network of collaborations with the academia, NHS hospitals and industry.

Pathology knowledge-guided AI models in computational pathology: Jin Tae Kwak, 21/11/25

Pathology knowledge-guided AI models in computational pathology: Jin Tae Kwak, 21/11/25
Too Many Models, Too Few Benchmarks: Jana Lipkova, 17/11/25

Too Many Models, Too Few Benchmarks: Jana Lipkova, 17/11/25
Scaling multiplexed protein imaging for subcellular-resolution pathology: Malte Kuehl, 10/11/25

Scaling multiplexed protein imaging for subcellular-resolution pathology: Malte Kuehl, 10/11/25
Conformal Quantification of Predictive Uncertainty in Health AI: Tapabrata Chakraborty, 27/10/25

Conformal Quantification of Predictive Uncertainty in Health AI: Tapabrata Chakraborty, 27/10/25
Multimodal AI for Precision Oncology: Insights from CHIMERA benchmark: Nadieh Khalili, 13/10/25

Multimodal AI for Precision Oncology: Insights from CHIMERA benchmark: Nadieh Khalili, 13/10/25
Foundation Models in Genomics: A Supervised Alternative to DNA Language Model: Asa Ben-Hur, 28/07/25

Foundation Models in Genomics: A Supervised Alternative to DNA Language Model: Asa Ben-Hur, 28/07/25
Quantifying Foundation Model Robustness: the Robustness Index: Edwin de Jong, 23/06/25

Quantifying Foundation Model Robustness: the Robustness Index: Edwin de Jong, 23/06/25
AI Agents in Oncology: Jakob Kather, 12/05/25

AI Agents in Oncology: Jakob Kather, 12/05/25
A foundation model for segmentation, detection and recognition of objects: Theodore Zhao, 28/04/25

A foundation model for segmentation, detection and recognition of objects: Theodore Zhao, 28/04/25
Towards ecologically sustainable AI for pathology: Peter Boor, 14/04/25

Towards ecologically sustainable AI for pathology: Peter Boor, 14/04/25
THREADS: A Molecular-driven Foundation Model for Oncologic Pathology: Anurag Vaidya, 07/04/25

THREADS: A Molecular-driven Foundation Model for Oncologic Pathology: Anurag Vaidya, 07/04/25
A vision–language foundation model for precision oncology: Jinxi Xiang, 10/03/25

A vision–language foundation model for precision oncology: Jinxi Xiang, 10/03/25
GrandQC - A comprehensive solution to quality control in digital pathology: Zhilong Weng, 03/03/25

GrandQC - A comprehensive solution to quality control in digital pathology: Zhilong Weng, 03/03/25
Multimodal Whole Slide Foundation Model for Pathology: Tong Ding, 13/01/25

Multimodal Whole Slide Foundation Model for Pathology: Tong Ding, 13/01/25
Redefining Hope: The Early Detection Revolution in Cancer Care: Azra Raza, 07/01/25

Redefining Hope: The Early Detection Revolution in Cancer Care: Azra Raza, 07/01/25
Towards learning patient level representations for better clinical outcome: Hanwen Xu, 11/12/24

Towards learning patient level representations for better clinical outcome: Hanwen Xu, 11/12/24
Investigating Glioblastoma Recurrence with Spatial Multi-Omics: Spencer Watson, 25/11/24

Investigating Glioblastoma Recurrence with Spatial Multi-Omics: Spencer Watson, 25/11/24
Investigating Spatial Diversity of the Prostate Cancer Microenvironment: Nicholas Trahearn, 11/11/24

Investigating Spatial Diversity of the Prostate Cancer Microenvironment: Nicholas Trahearn, 11/11/24
Foundation Models for Ovarian Cancer Subtype Classification: Jack Breen, 04/11/24

Foundation Models for Ovarian Cancer Subtype Classification: Jack Breen, 04/11/24
Benchmarking Foundation Models as Feature Extractors for Pathology: Peter Neidlinger, 21/10/24

Benchmarking Foundation Models as Feature Extractors for Pathology: Peter Neidlinger, 21/10/24
CPLIP - Zero-Shot Learning for Histopathology: Sajid Javed, 23/07/24

CPLIP - Zero-Shot Learning for Histopathology: Sajid Javed, 23/07/24
Does tumor budding really exist? How digital pathology helps answer this: Inti Zlobec, 27/06/24

Does tumor budding really exist? How digital pathology helps answer this: Inti Zlobec, 27/06/24
Causal machine learning for predicting treatment outcomes: Stefan Feuerriegel, 24/06/24

Causal machine learning for predicting treatment outcomes: Stefan Feuerriegel, 24/06/24
Histologic Features: Everything Old is New Again: Drew Williamson, 10/06/24

Histologic Features: Everything Old is New Again: Drew Williamson, 10/06/24
GRASP: GRAph-Structured Pyramidal Whole Slide Image Representation: Ali Khajegili Mirabadi, 29/04/24

GRASP: GRAph-Structured Pyramidal Whole Slide Image Representation: Ali Khajegili Mirabadi, 29/04/24
Dealing with the wave - Automating skin cancer assessment: Daan Geijs, 22/04/24

Dealing with the wave - Automating skin cancer assessment: Daan Geijs, 22/04/24
Learning or Searching in Digital Pathology: Hamid Tizhoosh, 15/04/24

Learning or Searching in Digital Pathology: Hamid Tizhoosh, 15/04/24