26 citations · 55 across the 6 of their papers we have counts for
6 papers
Generating Chest X-Ray Counterfactuals by Specialising Foundation Image Models
Xiaodan Xing, Rajat R. Rasal, Julia A. Meister +3
Counterfactual image generation answers questions about how a subject would have looked under retrospective, hypothetical scenarios. Recent methods have improved perceptual quality…
Conformalised data synthesis
Julia A. Meister, Khuong An Nguyen
With the proliferation of increasingly complicated Deep Learning architectures, data synthesis is a highly promising technique to address the demand of data-hungry models. However,…
Assessing long-term medical remanufacturing emissions with Life Cycle Analysis
Julia A. Meister, Jack Sharp, and Yan Wang +1
The unsustainable take-make-dispose linear economy prevalent in healthcare contributes 4.4% to global Greenhouse Gas emissions. A popular but not yet widely-embraced solution is to…
A novel Deep Learning approach for one-step Conformal Prediction approximation
Julia A. Meister, Khuong An Nguyen, Stelios Kapetanakis +1
Deep Learning predictions with measurable confidence are increasingly desirable for real-world problems, especially in high-risk settings. The Conformal Prediction (CP) framework i…
Audio feature ranking for sound-based COVID-19 patient detection
Julia A. Meister, Khuong An Nguyen, Zhiyuan Luo
Audio classification using breath and cough samples has recently emerged as a low-cost, non-invasive, and accessible COVID-19 screening method. However, a comprehensive survey show…
Deep Learning Application in Security and Privacy -- Theory and Practice: A Position Paper
Julia A. Meister, Raja Naeem Akram, Konstantinos Markantonakis
Technology is shaping our lives in a multitude of ways. This is fuelled by a technology infrastructure, both legacy and state of the art, composed of a heterogeneous group of hardw…