Publications by authors named "Martin Jaggi"

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MyThisYourThat for interpretable identification of systematic bias in federated learning for biomedical images.
Klavdiia Naumova, Arnout Devos, Sai Praneeth Karimireddy, Martin Jaggi, Mary-Anne Hartley

NPJ Digit Med· September 2024

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Modular Clinical Decision Support Networks (MoDN)-Updatable, interpretable, and portable predictions for evolving clinical environments.
Cécile Trottet, Thijs Vogels, Kristina Keitel, Alexandra V Kulinkina, Rainer Tan, Martin Jaggi

PLOS Digit Health· July 2023

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DeepBreath-automated detection of respiratory pathology from lung auscultation in 572 pediatric outpatients across 5 countries.
Julien Heitmann, Alban Glangetas, Jonathan Doenz, Juliane Dervaux, Deeksha M Shama, Martin Jaggi

NPJ Digit Med· June 2023

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What If…? Pandemic policy-decision-support to guide a cost-benefit-optimised, country-specific response.
Giorgio Mannarini, Francesco Posa, Thierry Bossy, Lucas Massemin, Javier Fernandez-Castanon, Martin Jaggi

PLOS Glob Public Health· August 2022

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Predicting Changes in Depression Severity Using the PSYCHE-D (Prediction of Severity Change-Depression) Model Involving Person-Generated Health Data: Longitudinal Case-Control Observational Study.
Mariko Makhmutova, Raghu Kainkaryam, Marta Ferreira, Jae Min, Martin Jaggi

JMIR Mhealth Uhealth· March 2022

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High-speed identification of suspended carbon nanotubes using Raman spectroscopy and deep learning.
Jian Zhang, Mickael L Perrin, Luis Barba, Jan Overbeck, Seoho Jung, Martin Jaggi

Microsyst Nanoeng· February 2022

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Deep learning diagnostic and risk-stratification pattern detection for COVID-19 in digital lung auscultations: clinical protocol for a case-control and prospective cohort study.
Alban Glangetas, Mary-Anne Hartley, Aymeric Cantais, Delphine S Courvoisier, David Rivollet, Martin Jaggi

BMC Pulm Med· March 2021

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Assessment of Fatigue Using Wearable Sensors: A Pilot Study.
Hongyu Luo, Pierre-Alexandre Lee, Ieuan Clay, Martin Jaggi, Valeria De Luca

Digit Biomark· November 2020

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Forecasting intracranial hypertension using multi-scale waveform metrics.
Matthias Hüser, Adrian Kündig, Walter Karlen, Valeria De Luca, Martin Jaggi

Physiol Meas· February 2020

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