Search Results for author: Stephanie Hyland

Found 6 papers, 4 papers with code

Making the Most of Text Semantics to Improve Biomedical Vision--Language Processing

1 code implementation21 Apr 2022 Benedikt Boecking, Naoto Usuyama, Shruthi Bannur, Daniel C. Castro, Anton Schwaighofer, Stephanie Hyland, Maria Wetscherek, Tristan Naumann, Aditya Nori, Javier Alvarez-Valle, Hoifung Poon, Ozan Oktay

We release a new dataset with locally-aligned phrase grounding annotations by radiologists to facilitate the study of complex semantic modelling in biomedical vision--language processing.

Contrastive Learning Language Modelling +4

Predicting the impact of treatments over time with uncertainty aware neural differential equations

1 code implementation24 Feb 2022 Edward De Brouwer, Javier González Hernández, Stephanie Hyland

In this work, we propose Counterfactual ODE (CF-ODE), a novel method to predict the impact of treatments continuously over time using Neural Ordinary Differential Equations equipped with uncertainty estimates.

Causal Inference Time Series +1

Temporal Pointwise Convolutional Networks for Length of Stay Prediction in the Intensive Care Unit

1 code implementation18 Jul 2020 Emma Rocheteau, Pietro Liò, Stephanie Hyland

In this work, we propose a new deep learning model based on the combination of temporal convolution and pointwise (1x1) convolution, to solve the length of stay prediction task on the eICU and MIMIC-IV critical care datasets.

Management Mortality Prediction +2

Predicting Length of Stay in the Intensive Care Unit with Temporal Pointwise Convolutional Networks

1 code implementation29 Jun 2020 Emma Rocheteau, Pietro Liò, Stephanie Hyland

The pressure of ever-increasing patient demand and budget restrictions make hospital bed management a daily challenge for clinical staff.

Length-of-Stay prediction Management

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