Publications associées à Consistent image-based measurement and classification of skin color

First Advanced Bilayer Scaffolds for Tailored Skin Tissue Engineering Produced via Electrospinning and Melt Electrowriting

In vitro skin models are validated methods for screening cosmetics and pharmaceuticals, but still have limitations. The bilayer poly(epsilon-caprolactone) scaffold/membrane model described here overcomes some of these deficits by integrating a solution ele ...

Wiley-V C H Verlag Gmbh2024

Aggregating Spatial and Photometric Context for Photometric Stereo

David Honzátko

Photometric stereo, a computer vision technique for estimating the 3D shape of objects through images captured under varying illumination conditions, has been a topic of research for nearly four decades. In its general formulation, photometric stereo is an ...

EPFL2024

Discovery and Development of Hyperthermia-Enhanced Treatments for Malignant Skin and Uveal Melanomas

Mouna Hadiji

Melanomas are among the deadliest cancers, with a high predisposition to metastasis and a bad prognosis in their late stages. The effectiveness of current therapeutic regimens remains suboptimal, and despite initial successes, treatment resistance emerges ...

EPFL2023

On the assessment of high-quality images: advances on the JPEG AIC-3 activity

Touradj Ebrahimi, Evgeniy Upenik, Michela Testolina

Recent advances in image compression have made it both possible and desirable for image quality to approach the visually lossless range. However, the most commonly used subjective visual quality assessment protocols, e.g. those reported in ITU-T Rec. BT.50 ...

2023

BigNeuron: a resource to benchmark and predict performance of algorithms for automated tracing of neurons in light microscopy datasets

Pascal Fua, Sean Lewis Hill, Amos Sironi, Jiancheng Yang, Jian Zhou, Siqi Liu, Xiang Li, Jie Zhou

BigNeuron is an open community bench-testing platform with the goal of setting open standards for accurate and fast automatic neuron tracing. We gathered a diverse set of image volumes across several species that is representative of the data obtained in m ...

2023

Experimental Investigation of the Inelastic Cyclic Behavior of Concrete-Filled Double-Skin Tubular Beam-Columns with Corrugated Inner Skins and Ultrahigh-Strength Corner Tubes

Mojtaba Farahi, Dimitrios Lignos

This paper presents the experimental results from nine full-scale concrete-filled double-skin tubular (CFDST) beam-columns. The test specimens exploited two fabrication strategies, featuring either hollow steel inner skins with corrugated geometry or ultra ...

ASCE-AMER SOC CIVIL ENGINEERS2022

MultiMAE: Multi-modal Multi-task Masked Autoencoders

Amir Roshan Zamir, Roman Christian Bachmann, David Mizrahi, Andrei Atanov

We propose a pre-training strategy called Multi-modal Multi-task Masked Autoencoders (MultiMAE). It differs from standard Masked Autoencoding in two key aspects: I) it can optionally accept additional modalities of information in the input besides the RGB ...

SPRINGER INTERNATIONAL PUBLISHING AG2022

Attribute Prediction as Multiple Instance Learning

Devis Tuia, Diego Marcos Gonzalez

Attribute-based representations help machine learning models perform tasks based on human understandable concepts, allowing a closer human-machine collaboration. However, learning attributes that accurately reflect the content of an image is not always str ...

2022

On combining denoising with learning-based image decoding

Touradj Ebrahimi, Michela Testolina

Noise is an intrinsic part of any sensor and is present, in various degrees, in any content that has been captured in real life environments. In imaging applications, several pre- and post-processing solutions have been proposed to cope with noise in captu ...

SPIE2022

Deploying an Instance Segmentation Algorithm to Implement Social Distancing for Prosthetic Vision

Silvestro Micera, Daniela De Luca

The COVID-19 pandemic outbreak is causing a dramatic worsening in the already complicated living conditions of blind and visually impaired individuals. Social distancing is the most effective strategy to limit virus spread, but is extremely difficult for b ...

IEEE2022

Rapid Noninvasive Skin Monitoring by Surface Mass Recording and Data Learning

Hubert Girault, Horst Pick, Natalia Gasilova, Andreas Stephan Lesch, Tzu-En Lin, Yingdi Zhu, Milica Jovic

Skin problems are often overlooked due to a lack of robust and patient-friendly monitoring tools. Herein, we report a rapid, noninvasive, and high-throughput analytical chemical methodology, aiming at real-time monitoring of skin conditions and early detec ...

2021

Electronic Skins for Healthcare Monitoring and Smart Prostheses

Laurent Mirko Dejace, Stéphanie Lacour, Haotian Chen

The human skin is a unique organ that embeds multiple functions that no artificial systems can currently replicate. Advances in materials science and engineering are driving the design of electronic skins-large-area sensor arrays that mimic some sensory mo ...

ANNUAL REVIEWS2021

Model-based 3D Face Reconstruction

Christophe René Joseph Ecabert

The human face plays an essential role in social interactions as it brings information about someone's identity, state of mind, or mood. People are, by nature, very good at catching this non-spoken information. Therefore, scientists have been interested in ...

EPFL2021

Soft Touch using Soft Pneumatic Actuator-Skin as a Wearable Haptic Feedback Device

Jamie Paik, Harshal Arun Sonar, Jian-Lin Huang

Understanding the external environment depends heavily on vision, audition, and touch. Like vision and audition, the human sense of touch is complex. Tactile perception is composed of multiple fundamental and physical experiences felt as changes in stiffne ...

2021

A new paradigm for leprosy diagnosis based on host gene expression

Stewart Cole, Philippe Busso, Andrej Benjak, Charlotte Avanzi, Thyago Leal Calvo

Author summary ...

PUBLIC LIBRARY SCIENCE2021

Learning a Unified Blind Image Quality Metric via On-Line and Off-Line Big Training Instances

Daniel Thalmann, Xingyu Xu

In this work, we resolve a big challenge that most current image quality metrics (IQMs) are unavailable across different image contents, especially simultaneously coping with natural scene (NS) images or screen content (SC) images. By comparison with exist ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2020

Electrochemical determination of nicotine in smokers' sweat

Sandro Carrara, Tugba Kilic

In this work, we report the demonstration of the capability of electrochemical sensors to provide measurements directly on the sweat of volunteers to successfully discriminate heavy smokers by light ones. Since its importance as pharmaceutical treatment-ag ...

ELSEVIER2020

ExprADA: Adversarial domain adaptation for facial expression analysis

Jean-Philippe Thiran, Seyedbehzad Bozorgtabar

We propose a deep neural network based image-to-image translation for domain adaptation, which aims at finding translations between image domains. Despite recent GAN based methods showing promising results in image-to-image translation, they are prone to f ...

2020

Identification of blowing snow particles in images from a Multi-Angle Snowflake Camera

Alexis Berne, Christophe Praz, Mathieu Oscar Schaer

A new method to automatically discriminate between hydrometeors and blowing snow particles on MultiAngle Snowflake Camera (MASC) images is introduced. The method uses four selected descriptors related to the image frequency, the number of particles detecte ...

2020

Microfluidics by Additive Manufacturing for Wearable Biosensors: A Review

Christian Enz, Sandro Carrara, Mahshid Alsadat Padash

Wearable devices are nowadays at the edge-front in both academic research as well as in industry, and several wearable devices have been already introduced in the market. One of the most recent advancements in wearable technologies for biosensing is in the ...

2020