Joanna M. Wardlaw
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
11
Venues
3
Active years
2001–2025
Best venue rank
A*
Where they publish
Papers
11 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | MICCAI | Calibrated Self-supervised Vision Transformers Improve Intracranial Arterial Calcification Segmentation from Clinical CT Head Scans. | Benjamin Jin, Grant Mair, Joanna M. Wardlaw, Maria del C. Valds Hernndez |
| 2024 | MICCAI | Pre-processing and Quality Control of Large Clinical CT Head Datasets for Intracranial Arterial Calcification Segmentation. | Benjamin Jin, Maria del C. Valds Hernndez, Alessandro Fontanella, Wenwen Li, Eleanor Platt, Paul A. Armitage, Amos J. Storkey, Joanna M. Wardlaw, Grant Mair |
| 2023 | ICML | ACAT: Adversarial Counterfactual Attention for Classification and Detection in Medical Imaging. | Alessandro Fontanella, Antreas Antoniou, Wenwen Li, Joanna M. Wardlaw, Grant Mair, Emanuele Trucco, Amos J. Storkey |
| 2021 | MICCAI | Probabilistic Deep Learning with Adversarial Training and Volume Interval Estimation - Better Ways to Perform and Evaluate Predictive Models for White Matter Hyperintensities Evolution. | Muhammad Febrian Rachmadi, Maria del C. Valds Hernndez, Rizal Maulana, Joanna M. Wardlaw, Stephen D. Makin, Henrik Skibbe |
| 2019 | MICCAI | Predicting the Evolution of White Matter Hyperintensities in Brain MRI Using Generative Adversarial Networks and Irregularity Map. | Muhammad Febrian Rachmadi, Maria del C. Valds Hernndez, Stephen D. Makin, Joanna M. Wardlaw, Taku Komura |
| 2018 | MICCAI | Direct Estimation of Pharmacokinetic Parameters from DCE-MRI Using Deep CNN with Forward Physical Model Loss. | Cagdas Ulas, Giles Tetteh, Michael J. Thrippleton, Paul A. Armitage, Stephen D. Makin, Joanna M. Wardlaw, Mike E. Davies, Bjoern H. Menze |
| 2017 | MICCAI | Retinal Biomarker Discovery for Dementia in an Elderly Diabetic Population. | Ahmed E. Fetit, Siyamalan Manivannan, Sarah McGrory, Lucia Ballerini, Alexander S. Doney, Thomas J. MacGillivray, Ian J. Deary, Joanna M. Wardlaw, Fergus Doubal, Gareth J. McKay, Stephen J. McKenna, Emanuele Trucco |
| 2016 | MICCAI | Pseudo-healthy Image Synthesis for White Matter Lesion Segmentation. | Christopher Bowles, Chen Qin, Christian Ledig, Ricardo Guerrero, Roger N. Gunn, Alexander Hammers, Eleni Sakka, David Alexander Dickie, Maria del C. Valds Hernndez, Natalie A. Royle, Joanna M. Wardlaw, Hanneke Rhodius-Meester, Betty M. Tijms, Afina W. Lemstra, Wiesje M. van der Flier, Frederik Barkhof, Philip Scheltens, Daniel Rueckert |
| 2006 | CBMS | The Challenges of Developing a Collaborative Data and Compute Grid for Neurosciences. | John R. Geddes, Clare E. Mackay, Sharon Lloyd, Andrew Simpson, David J. Power, Douglas Russell, Mila Katzarova, Martin Rossor, Nick C. Fox, Jonathon Fletcher, Derek L. G. Hill, Kate McLeish, Joseph V. Hajnal, Stephen M. Lawrie, Dominic Job, Andrew M. McIntosh, Joanna M. Wardlaw, Peter Sandercock, Jeb Palmer, Dave Perry, Rob Procter, Jenny Ure, Philip M. Bath, Graham Watson |
| 2005 | CBMS | NeuroGrid: Using Grid Technology to Advance Neuroscience. | John R. Geddes, Sharon Lloyd, Andrew Simpson, Martin Rossor, Nick C. Fox, Derek L. G. Hill, Joseph V. Hajnal, Stephen M. Lawrie, Andrew M. McIntosh, Eve C. Johnstone, Joanna M. Wardlaw, Dave Perry, Rob Procter, Philip M. Bath, Edward T. Bullmore |
| 2001 | MICCAI | Registration of Reconstructed Post Mortem Optical Data with MR Scans of the Same Patient. | ric Bardinet, Alan C. F. Colchester, Alexis Roche, Yonggen Zhu, Yang He, Sbastien Ourselin, Bill Nailon, S. Ali Hojjat, James Ironside, Safa Al-Sarraj, Nicholas Ayache, Joanna M. Wardlaw |