Robert Amelard

Orcid: 0000-0003-3191-3470

According to our database1, Robert Amelard authored at least 26 papers between 2012 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2021
Real-Time Handheld Probe Tracking and Image Formation Using Digital Frequency-Domain Diffuse Optical Spectroscopy.
IEEE Trans. Biomed. Eng., 2021

Optical Hemodynamic Imaging of Jugular Venous Dynamics During Altered Central Venous Pressure.
IEEE Trans. Biomed. Eng., 2021

Temporal convolutional networks predict dynamic oxygen uptake response from wearable sensors across exercise intensities.
npj Digit. Medicine, 2021

Enhancing Food Intake Tracking in Long-Term Care with Automated Food Imaging and Nutrient Intake Tracking (AFINI-T) Technology.
CoRR, 2021

Temporal prediction of oxygen uptake dynamics from wearable sensors during low-, moderate-, and heavy-intensity exercise.
CoRR, 2021

2020
Monocular 3D Probe Tracking for Generating Sub-Surface Optical Property Maps From Diffuse Optical Spectroscopic Imaging.
IEEE Trans. Biomed. Eng., 2020

2019
Fully-Automatic Semantic Segmentation for Food Intake Tracking in Long-Term Care Homes.
CoRR, 2019

Assessing postural instability during cerebral hypoperfusion using sub-millimeter monocular 3D sway tracking.
CoRR, 2019

Towards Computer Vision Powered Color-Nutrient Assessment of Pureed Food.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2017
A new take on measuring nutritional density: The feasibility of using a deep neural network to assess commercially-prepared puree concentrations.
CoRR, 2017

2016
Non-contact hemodynamic imaging reveals the jugular venous pulse waveform.
CoRR, 2016

Spatial probabilistic pulsatility model for enhancing photoplethysmographic imaging systems.
CoRR, 2016

A spectral-spatial fusion model for robust blood pulse waveform extraction in photoplethysmographic imaging.
CoRR, 2016

SAPPHIRE: Stochastically acquired photoplethysmogram for heart rate inference in realistic environments.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Time-Frequency Domain Analysis via Pulselets for Non-contact Heart Rate Estimation from Remotely Acquired Photoplethysmograms.
Proceedings of the 13th Conference on Computer and Robot Vision, 2016

2015
High-Level Intuitive Features (HLIFs) for Intuitive Skin Lesion Description.
IEEE Trans. Biomed. Eng., 2015

Non-contact transmittance photoplethysmographic imaging (PPGI) for long-distance cardiovascular monitoring.
CoRR, 2015

Quantitative features for computer-aided melanoma classification using spatial heterogeneity of eumelanin and pheomelanin concentrations.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

2014
Enhanced classification of malignant melanoma lesions via the integration of physiological features from dermatological photographs.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

Physiological characterization of skin lesion using non-linear random forest regression model.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

2013
MSIM: Multistage Illumination Modeling of Dermatological Photographs for Illumination-Corrected Skin Lesion Analysis.
IEEE Trans. Biomed. Eng., 2013

Continuous sea ice thickness estimation using a joint MODIS and AMSR-E guided variational model.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013

Unsupervised classification of sea-ice using synthetic aperture radar via an adaptive texture sparsifying transform.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013

Unsupervised classification of agricultural land cover using polarimetric synthetic aperture radar via a sparse texture dictionary model.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013

2012
Extracting morphological high-level intuitive features (HLIF) for enhancing skin lesion classification.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

Extracting High-Level Intuitive Features (HLIF) for Classifying Skin Lesions Using Standard Camera Images.
Proceedings of the Ninth Conference on Computer and Robot Vision, 2012


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