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Abstract PO-076: Unsupervised learning of image embeddings enables new opportunities to extract novel information from digital pathology H&E images

Clinical cancer research, 2021-03, Vol.27 (5_Supplement), p.PO-076-PO-076

2021

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Predicting Fatigue and Psychophysiological Test Performance from Speech for Safety-Critical Environments

Frontiers in bioengineering and biotechnology, 2015-01, Vol.3, p.124-124

2015

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Abstract 1937: DIME-CT: Self-supervised learning for medical image analysis using patch-based embeddings

Cancer research (Chicago, Ill.), 2022-06, Vol.82 (12_Supplement), p.1937-1937

2022

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Abstract PR-05: Leveraging graphs to do novel hypothesis and data-driven research using multiplex immunofluorescence images

Clinical cancer research, 2021-03, Vol.27 (5_Supplement), p.PR-05-PR-05

2021

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The computational prediction of masking thresholds for ecologically valid interference scenarios

The Journal of the Acoustical Society of America, 2013-05, Vol.133 (5_Supplement), p.3426-3426

2013

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The Prediction of Fatigue Using Speech as a Biosignal

Statistical Language and Speech Processing, 2015, Vol.9449, p.8-17

2015

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Extracting medical entities from social media

Proceedings of the ACM Conference on Health, Inference, and Learning, 2020, p.170-181

2020

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Selection of temporal windows for the computational prediction of masking thresholds

2013 IEEE International Conference on Acoustics, Speech and Signal Processing, 2013, p.408-412

2013

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Predicting the Perceptual Acceptability of Auditory Interference for the Optimisation of Sound Zones

Baykaner, Khan Richard

2014

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Predicting the perceptual acceptability of auditory interference for the optimisation of sound zones

Baykaner, Khan Rochard

2014

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The computational prediction of masking thresholds for ecologically valid interference scenarios

Proceedings of Meetings on Acoustics, 2013, Vol.19 (1)

2013

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Split-cord malformation and tethered cord associated with immature teratoma

Child's nervous system, 2005-01, Vol.21 (1), p.77-80

2005

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Abstract PO-076: Unsupervised learning of image embeddings enables new opportunities to extract novel information from digital pathology H&E images

Predicting Fatigue and Psychophysiological Test Performance from Speech for Safety-Critical Environments

Abstract 1937: DIME-CT: Self-supervised learning for medical image analysis using patch-based embeddings

Abstract PR-05: Leveraging graphs to do novel hypothesis and data-driven research using multiplex immunofluorescence images

The computational prediction of masking thresholds for ecologically valid interference scenarios

The Prediction of Fatigue Using Speech as a Biosignal

Extracting medical entities from social media

Selection of temporal windows for the computational prediction of masking thresholds

Predicting the Perceptual Acceptability of Auditory Interference for the Optimisation of Sound Zones

Predicting the perceptual acceptability of auditory interference for the optimisation of sound zones

The computational prediction of masking thresholds for ecologically valid interference scenarios

Split-cord malformation and tethered cord associated with immature teratoma

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