8 papers
Before You Say It: Anticipating Verbal Behavior from Longitudinal Everyday Conversations with LLMs
Yasith Samaradivakara, Valdemar Danry, Paul Liang +1
Knowing someone deeply means not just understanding what they say or do but also how they will likely think, react, and engage across situations. Such predictions could eventually…
PET/CT Radiogenomic Mutation Prediction in Non-Small Cell Lung Cancer Using Multi-Label Learning
Mona Furukawa, Sai Hyne, Daniel R. McGowan +1
Lung cancer remains one of the leading causes of cancer- related mortality worldwide. Although targeted therapies have improved outcomes for patients with non-small cell lung cance…
WBCBench 2026: A Challenge for Robust White Blood Cell Classification Under Class Imbalance
Xin Tian, Xudong Ma, Tianqi Yang +4
We present WBCBench 2026, an ISBI challenge and benchmark for automated WBC classification designed to stress-test algorithms under three key difficulties: (i) severe class imbalan…
Subgroups Matter for Robust Bias Mitigation
Anissa Alloula, Charles Jones, Ben Glocker +1
Despite the constant development of new bias mitigation methods for machine learning, no method consistently succeeds, and a fundamental question remains unanswered: when and why d…
On Biases in a UK Biobank-based Retinal Image Classification Model
Anissa Alloula, Rima Mustafa, Daniel R McGowan +1
Recent work has uncovered alarming disparities in the performance of machine learning models in healthcare. In this study, we explore whether such disparities are present in the UK…
Autopet Challenge 2023: nnUNet-based whole-body 3D PET-CT Tumour Segmentation
Anissa Alloula, Daniel R McGowan, BartÅomiej W. Papież
Fluorodeoxyglucose Positron Emission Tomography (FDG-PET) combined with Computed Tomography (CT) scans are critical in oncology to the identification of solid tumours and the monit…