Grant Mair - RankMe

14 papers A* 1Journal 11Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Calibrated Self-supervised Vision Transformers Improve Intracranial Arterial Calcification Segmentation from Clinical CT Head Scans. DEMI@MICCAI Benjamin Jin, Grant Mair, Joanna M. Wardlaw, Maria del C. Valdés Hernández
2025	J	`jnl`	Calibrated Self-supervised Vision Transformers Improve Intracranial Arterial Calcification Segmentation from Clinical CT Head Scans. CoRR Benjamin Jin, Grant Mair, Joanna M. Wardlaw, Maria del C. Valdés Hernández
2025	J	`jnl`	Diffusion Models for Counterfactual Generation and Anomaly Detection in Brain Images. IEEE Trans. Medical Imaging Alessandro Fontanella, Grant Mair, Joanna M. Wardlaw, Emanuele Trucco, Amos Storkey
2024	J	`jnl`	Deep learning biomarker of chronometric and biological ischemic stroke lesion age from unenhanced CT. npj Digit. Medicine Adam Marcus, Grant Mair, Liang Chen, Charles Hallett, Claudia Ghezzou Cuervas-Mons, Dylan Roi, Daniel Rueckert, Paul Bentley
2024	—	`conf`	Pre-processing and Quality Control of Large Clinical CT Head Datasets for Intracranial Arterial Calcification Segmentation. DEMI@MICCAI Benjamin Jin, Maria del C. Valdés Hernández, Alessandro Fontanella, Wenwen Li, Eleanor Platt, Paul A. Armitage, Amos J. Storkey, Joanna M. Wardlaw, Grant Mair
2023	A*	`conf`	ACAT: Adversarial Counterfactual Attention for Classification and Detection in Medical Imaging. ICML Alessandro Fontanella, Antreas Antoniou, Wenwen Li, Joanna M. Wardlaw, Grant Mair, Emanuele Trucco, Amos J. Storkey
2023	J	`jnl`	ACAT: Adversarial Counterfactual Attention for Classification and Detection in Medical Imaging. CoRR Alessandro Fontanella, Antreas Antoniou, Wenwen Li, Joanna M. Wardlaw, Grant Mair, Emanuele Trucco, Amos J. Storkey
2023	J	`jnl`	Development of a Deep Learning Method to Identify Acute Ischemic Stroke Lesions on Brain CT. CoRR Alessandro Fontanella, Wenwen Li, Grant Mair, Antreas Antoniou, Eleanor Platt, Paul A. Armitage, Emanuele Trucco, Joanna M. Wardlaw, Amos J. Storkey
2023	J	`jnl`	Diffusion Models for Counterfactual Generation and Anomaly Detection in Brain Images. CoRR Alessandro Fontanella, Grant Mair, Joanna M. Wardlaw, Emanuele Trucco, Amos J. Storkey
2023	J	`jnl`	Understanding the performance and reliability of NLP tools: a comparison of four NLP tools predicting stroke phenotypes in radiology reports. Frontiers Digit. Health Arlene Casey, Emma M. Davidson, Claire Grover, Richard Tobin, Andreas Grivas, Huayu Zhang, Patrick Schrempf, Alison Q. O'Neil, Liam Lee, Michael Walsh, Freya Pellie, Karen Ferguson, Vera Cvoro, Honghan Wu, Heather Whalley, Grant Mair, William Whiteley, Beatrice Alex
2022	J	`jnl`	A Comparison of Cranial Cavity Extraction Tools for Non-contrast Enhanced CT Scans in Acute Stroke Patients. Neuroinformatics Laurence Vass, M. J. Moore, Taylor Hanayik, Grant Mair, Sarah T. Pendlebury, Nele Demeyere, Mark Jenkinson
2019	J	`jnl`	A validated natural language processing algorithm for brain imaging phenotypes from radiology reports in UK electronic health records. BMC Medical Informatics Decis. Mak. Emily Wheater, Grant Mair, Cathie Sudlow, Beatrice Alex, Claire Grover, William Whiteley
2019	J	`jnl`	Text mining brain imaging reports. J. Biomed. Semant. Beatrice Alex, Claire Grover, Richard Tobin, Cathie Sudlow, Grant Mair, William Whiteley
2018	J	`jnl`	Machine learning of neuroimaging to diagnose cognitive impairment and dementia: a systematic review and comparative analysis. CoRR Enrico Pellegrini, Lucia Ballerini, Maria del C. Valdés Hernández, Francesca M. Chappell, Víctor González-Castro, Devasuda Anblagan, Samuel Danso, Susana Muñoz Maniega, Dominic Job, Cyril R. Pernet, Grant Mair, Tom J. MacGillivray, Emanuele Trucco, Joanna M. Wardlaw