activity
20202026
most citedExploring Automatic Diagnosis of COVID-19 from Crowdsourced Respiratory Sound Data

455 citations · 685 across the 20 of their papers we have counts for

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Showing 2021Show all

5 papers · 1 filter

eess.IV2021★ 6 cited

Comparative Validation of Machine Learning Algorithms for Surgical Workflow and Skill Analysis with the HeiChole Benchmark

Martin Wagner, Beat-Peter Müller-Stich, Anna Kisilenko +38

PURPOSE: Surgical workflow and skill analysis are key technologies for the next generation of cognitive surgical assistance systems. These systems could increase the safety of the…

cs.SD2021★ 5 cited

Sounds of COVID-19: exploring realistic performance of audio-based digital testing

Jing Han, Tong Xia, Dimitris Spathis +9

Researchers have been battling with the question of how we can identify Coronavirus disease (COVID-19) cases efficiently, affordably and at scale. Recent work has shown how audio b…

cs.SD2021★ 2 cited

Uncertainty-Aware COVID-19 Detection from Imbalanced Sound Data

Tong Xia, Jing Han, Lorena Qendro +2

Recently, sound-based COVID-19 detection studies have shown great promise to achieve scalable and prompt digital pre-screening. However, there are still two unsolved issues hinderi…

eess.AS2021★ 2 cited

The INTERSPEECH 2021 Computational Paralinguistics Challenge: COVID-19 Cough, COVID-19 Speech, Escalation & Primates

Björn W. Schuller, Anton Batliner, Christian Bergler +21

The INTERSPEECH 2021 Computational Paralinguistics Challenge addresses four different problems for the first time in a research competition under well-defined conditions: In the CO…

cs.SD2021★ 87 cited

Exploring Automatic COVID-19 Diagnosis via voice and symptoms from Crowdsourced Data

Jing Han, Chloë Brown, Jagmohan Chauhan +6

The development of fast and accurate screening tools, which could facilitate testing and prevent more costly clinical tests, is key to the current pandemic of COVID-19. In this con…