Joshua D. Kaggie

According to our database, Joshua D. Kaggie authored at least 10 papers between 2019 and 2026.

Collaborative distances:

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

2026

Federated Learning and Class Imbalances.

Siqi Zhu, Joshua D. Kaggie

CoRR, January, 2026

Performance of breast cancer risk prediction algorithms across mammography systems in the UK screening programme.

Joshua Rothwell, Nicholas Payne, Fleur Kilburn-Toppin, Yuan Huang, Joshua D. Kaggie, Richard Black, Sarah Hickman, Bahman Kasmai, Arne Juette, Fiona J. Gilbert

npj Digit. Medicine, 2026

2024

Rician Denoising Diffusion Probabilistic Models For Sodium Breast MRI Enhancement.

Shuaiyu Yuan, Tristan Whitmarsh, Dimitri A. Kessler, Otso Arponen, Mary A. McLean, Gabrielle Baxter, Frank Riemer, Aneurin J. Kennerley, William J. Brackenbury, Fiona J. Gilbert, Joshua D. Kaggie

CoRR, 2024

A Deep-Learning-Based Lable-free No-Reference Image Quality Assessment Metric: Application in Sodium MRI Denoising.

Shuaiyu Yuan, Tristan Whitmarsh, Dimitri A. Kessler, Otso Arponen, Mary A. McLean, Gabrielle Baxter, Frank Riemer, Aneurin J. Kennerley, William J. Brackenbury, Fiona J. Gilbert, Joshua D. Kaggie

CoRR, 2024

2022

Deuterium metabolic imaging and hyperpolarized ¹³C-MRI of the normal human brain at clinical field strength reveals differential cerebral metabolism.

Joshua D. Kaggie, Alixander S. Khan, Tomasz Matys, Rolf F. Schulte, Matthew J. Locke, Ashley Grimmer, Amy Frary, Ines Horvat Menih, Elizabeth Latimer, Martin J. Graves, Mary A. McLean, Ferdia A. Gallagher

NeuroImage, 2022

2021

Three dimensional MRF obtains highly repeatable and reproducible multi-parametric estimations in the healthy human brain at 1.5T and 3T.

Guido Buonincontri, Jan W. Kurzawski, Joshua D. Kaggie, Tomasz Matys, Ferdia A. Gallagher, Matteo Cencini, Graziella Donatelli, Paolo Cecchi, Mirco Cosottini, Nicola Martini, Francesca Frijia, Domenico Montanaro, Pedro A. Gómez, Rolf F. Schulte, Alessandra Retico, Michela Tosetti

NeuroImage, 2021

2020

Fast Quantitative Magnetic Resonance Imaging

Guido Buonincontri, Joshua D. Kaggie, Martin J. Graves

Synthesis Lectures on Biomedical Engineering, Morgan & Claypool Publishers, ISBN: 978-3-031-01667-7, 2020

The optimisation of deep neural networks for segmenting multiple knee joint tissues from MRIs.

Dimitri A. Kessler, James W. MacKay, Victoria A. Crowe, Frances M. D. Henson, Martin J. Graves, Fiona J. Gilbert, Joshua D. Kaggie

Comput. Medical Imaging Graph., 2020

2019

Quantifying normal human brain metabolism using hyperpolarized [1-¹³C]pyruvate and magnetic resonance imaging.

James T. Grist, Mary A. McLean, Frank Riemer, Rolf F. Schulte, Surrin S. Deen, Fulvio Zaccagna, Ramona Woitek, Charlie J. Daniels, Joshua D. Kaggie, Tomasz Matys, Ilse Patterson, Rhys Slough, Andrew B. Gill, Anita Chhabra, Rose Eichenberger, Marie-Christine Laurent, Arnaud Comment, Jonathan H. Gillard, Ferdia A. Gallagher

NeuroImage, 2019

Multi-site repeatability and reproducibility of MR fingerprinting of the healthy brain at 1.5 and 3.0 T.

Guido Buonincontri, Laura Biagi, Alessandra Retico, Paolo Cecchi, Mirco Cosottini, Ferdia A. Gallagher, Pedro A. Gómez, Martin J. Graves, Mary A. McLean, Frank Riemer, Rolf F. Schulte, Michela Tosetti, Fulvio Zaccagna, Joshua D. Kaggie

NeuroImage, 2019