Lyle J. Palmer

According to our database, Lyle J. Palmer authored at least 13 papers between 2006 and 2026.

Collaborative distances:

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

2026

Robust Mitigation of Age-Dependent Confounding Effects via Sample-Difficulty Decorrelation.

Nikhil Cherian Kurian, Victor Caquilpan Parra, Abin Shoby, Luke Whitbread, Lyle J. Palmer

CoRR, May, 2026

Worst-Group Equalized Odds Regularization for Multi-Attribute Fair Medical Image Classification.

Nikhil Cherian Kurian, Victor Caquilpan Parra, Abin Shoby, Luke Whitbread, Lauren Oakden-Rayner, Robert Vandersluis, Jessica Schrouff, Lyle J. Palmer, Mark Jenkinson

CoRR, May, 2026

Denoising diffusion networks for normative modeling in neuroimaging.

Luke Whitbread, Lyle J. Palmer, Mark Jenkinson

CoRR, February, 2026

2023

Improved Flexibility and Interpretability of Large Vessel Stroke Prognostication Using Image Synthesis and Multi-task Learning.

Minyan Zeng, Yutong Xie, Minh-Son To, Lauren Oakden-Rayner, Luke Whitbread, Stephen Bacchi, Alix Bird, Luke Smith, Rebecca Scroop, Timothy Kleinig, Jim Jannes, Lyle J. Palmer, Mark Jenkinson

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2021

Reading Race: AI Recognises Patient's Racial Identity In Medical Images.

Imon Banerjee, Ananth Reddy Bhimireddy, John L. Burns, Leo Anthony Celi, Li-Ching Chen, Ramon Correa, Natalie Dullerud, Marzyeh Ghassemi, Shih-Cheng Huang, Po-Chih Kuo, Matthew P. Lungren, Lyle J. Palmer, Brandon J. Price, Saptarshi Purkayastha, Ayis Pyrros, Luke Oakden-Rayner, Chima Okechukwu, Laleh Seyyed-Kalantari, Hari Trivedi, Ryan Wang, Zachary Zaiman, Haoran Zhang, Judy W. Gichoya

CoRR, 2021

2019

Producing Radiologist-Quality Reports for Interpretable Deep Learning.

William Gale, Luke Oakden-Rayner, Gustavo Carneiro, Lyle J. Palmer, Andrew P. Bradley

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018

Producing radiologist-quality reports for interpretable artificial intelligence.

William Gale, Luke Oakden-Rayner, Gustavo Carneiro, Andrew P. Bradley, Lyle J. Palmer

CoRR, 2018

2017

Detecting hip fractures with radiologist-level performance using deep neural networks.

William Gale, Luke Oakden-Rayner, Gustavo Carneiro, Andrew P. Bradley, Lyle J. Palmer

CoRR, 2017

A Bayesian Data Augmentation Approach for Learning Deep Models.

Toan Tran, Trung Pham, Gustavo Carneiro, Lyle J. Palmer, Ian D. Reid

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Automated 5-year mortality prediction using deep learning and radiomics features from chest computed tomography.

Gustavo Carneiro, Luke Oakden-Rayner, Andrew P. Bradley, Jacinto C. Nascimento, Lyle J. Palmer

Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

2008

SimHap GUI: An intuitive graphical user interface for genetic association analysis.

Kim W. Carter, Pamela A. McCaskie, Lyle J. Palmer

BMC Bioinform., 2008

Celestial3D: a novel method for 3D visualization of familial data.

Angeline M. Loh, Steven Wiltshire, Jon Emery, Kim W. Carter, Lyle J. Palmer

Bioinform., 2008

2006

JLIN: A java based linkage disequilibrium plotter.

Kim W. Carter, Pamela A. McCaskie, Lyle J. Palmer

BMC Bioinform., 2006