no code implementations • 20 Mar 2024 • Mohammod N. I. Suvon, Prasun C. Tripathi, Wenrui Fan, Shuo Zhou, Xianyuan Liu, Samer Alabed, Venet Osmani, Andrew J. Swift, Chen Chen, Haiping Lu
In response to these limitations, we propose a novel multimodal variational autoencoder ($\text{CardioVAE}_\text{X, G}$) to integrate low-cost chest X-ray (CXR) and electrocardiogram (ECG) modalities with pre-training on a large unlabeled dataset.
no code implementations • 15 Mar 2024 • Wenrui Fan, Mohammod Naimul Islam Suvon, Shuo Zhou, Xianyuan Liu, Samer Alabed, Venet Osmani, Andrew Swift, Chen Chen, Haiping Lu
Moreover, a novel vision-language Prototypical Contr-astive Learning (ProtoCL) method is adopted in MeDSLIP to enhance the alignment within the anatomical and pathological streams.
no code implementations • 25 Oct 2022 • Raffaele Marchesi, Nicolo Micheletti, Giuseppe Jurman, Venet Osmani
We show that our approach is better at both generating authentic data of the minority class and remaining within the original distribution of the real data.
no code implementations • 7 Jul 2021 • Behrooz Mamandipoor, Wesley Yeung, Louis Agha-Mir-Salim, David J. Stone, Venet Osmani, Leo Anthony Celi
Outcomes were defined based on increase or decrease of serum lactate levels between the groups.
no code implementations • 21 Mar 2021 • André M. Carrington, Douglas G. Manuel, Paul W. Fieguth, Tim Ramsay, Venet Osmani, Bernhard Wernly, Carol Bennett, Steven Hawken, Matthew McInnes, Olivia Magwood, Yusuf Sheikh, Andreas Holzinger
We demonstrate deep ROC analysis in two case studies and provide a toolkit in Python.
no code implementations • 3 Oct 2019 • Behrooz Mamandipoor, Mahshid Majd, Monica Moz, Venet Osmani
Blood lactate concentration is a strong indicator of mortality risk in critically ill patients.
2 code implementations • 2 Oct 2019 • Seyedmostafa Sheikhalishahi, Vevake Balaraman, Venet Osmani
This is the first public benchmark on a multi-centre critical care dataset, comparing the performance of clinical gold standard with our predictive model.
no code implementations • 15 Aug 2019 • Seyedmostafa Sheikhalishahi, Riccardo Miotto, Joel T. Dudley, Alberto Lavelli, Fabio Rinaldi, Venet Osmani
There is a notable use of relatively simple methods, such as shallow classifiers (or combination with rule-based methods), due to the interpretability of predictions, which still represents a significant issue for more complex methods.