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Article
Open AccessEnabling large-scale screening of Barrett’s esophagus using weakly supervised deep learning in histopathology
Timely detection of Barrett’s esophagus, the pre-malignant condition of esophageal adenocarcinoma, can improve patient survival rates. The Cytosponge-TFF3 test, a non-endoscopic minimally invasive procedure, h...
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Article
Open AccessMultiscale biochemical map** of the brain through deep-learning-enhanced high-throughput mass spectrometry
Spatial omics technologies can reveal the molecular intricacy of the brain. While mass spectrometry imaging (MSI) provides spatial localization of compounds, comprehensive biochemical profiling at a brain-wide...
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Article
A causal perspective on dataset bias in machine learning for medical imaging
As machine learning methods gain prominence within clinical decision-making, the need to address fairness concerns becomes increasingly urgent. Despite considerable work dedicated to detecting and ameliorating...
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Article
Correction: Kappa opioid receptors as modulators of novelty processing
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Article
Kappa opioid receptors as modulators of novelty processing
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Chapter and Conference Paper
Deep Structural Causal Shape Models
Causal reasoning provides a language to ask important interventional and counterfactual questions beyond purely statistical association. In medical imaging, for example, we may want to study the causal effect ...
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Article
Open AccessActive label cleaning for improved dataset quality under resource constraints
Imperfections in data annotation, known as label noise, are detrimental to the training of machine learning models and have a confounding effect on the assessment of model performance. Nevertheless, employing ...
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Chapter and Conference Paper
Making the Most of Text Semantics to Improve Biomedical Vision–Language Processing
Multi-modal data abounds in biomedicine, such as radiology images and reports. Interpreting this data at scale is essential for improving clinical care and accelerating clinical research. Biomedical text with ...
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Article
An endogenous opioid circuit determines state-dependent reward consumption
µ-Opioid peptide receptor (MOPR) stimulation alters respiration, analgesia and reward behaviour, and can induce substance abuse and overdose1–3. Despite its evident importance, the endogenous mechanisms for MOPR ...
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Article
Open AccessImage-guided MALDI mass spectrometry for high-throughput single-organelle characterization
Peptidergic dense-core vesicles are involved in packaging and releasing neuropeptides and peptide hormones—critical processes underlying brain, endocrine and exocrine function. Yet, the heterogeneity within th...
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Article
Open AccessCausality matters in medical imaging
Causal reasoning can shed new light on the major challenges in machine learning for medical imaging: scarcity of high-quality annotated data and mismatch between the development dataset and the target environm...
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Article
Wireless optofluidic brain probes for chronic neuropharmacology and photostimulation
Both in vivo neuropharmacology and optogenetic stimulation can be used to decode neural circuitry, and can provide therapeutic strategies for brain disorders. However, current neuronal interfaces hinder long-t...
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Chapter and Conference Paper
Controlling Meshes via Curvature: Spin Transformations for Pose-Invariant Shape Processing
We investigate discrete spin transformations, a geometric framework to manipulate surface meshes by controlling mean curvature. Applications include surface fairing – flowing a mesh onto say, a reference spher...
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Chapter and Conference Paper
Bayesian Deep Learning for Accelerated MR Image Reconstruction
Recently, many deep learning (DL) based MR image reconstruction methods have been proposed with promising results. However, only a handful of work has been focussing on characterising the behaviour of deep networ...
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Chapter and Conference Paper
Nonparametric Density Flows for MRI Intensity Normalisation
With the adoption of powerful machine learning methods in medical image analysis, it is becoming increasingly desirable to aggregate data that is acquired across multiple sites. However, the underlying assumpt...
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Chapter and Conference Paper
Cardiac MR Segmentation from Undersampled k-space Using Deep Latent Representation Learning
Reconstructing magnetic resonance imaging (MRI) from undersampled k-space enables the accelerated acquisition of MRI but is a challenging problem. However, in many diagnostic scenarios, perfect reconstructions ar...
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Article
Orexin in Rostral Hotspot of Nucleus Accumbens Enhances Sucrose ‘Liking’ and Intake but Scopolamine in Caudal Shell Shifts ‘Liking’ Toward ‘Disgust’ and ‘Fear’
The nucleus accumbens (NAc) contains a hedonic hotspot in the rostral half of medial shell, where opioid agonist microinjections are known to enhance positive hedonic orofacial reactions to the taste of sucros...
