Publications associées à Test F

MPRAGE to MP2RAGE UNI translation via generative adversarial network improves the automatic tissue and lesion segmentation in multiple sclerosis patients

Jean-Philippe Thiran, Meritxell Bach Cuadra, Thomas Yu, Cristina Granziera, Francesco La Rosa

Background and objective: Compared to the conventional magnetization-prepared rapid gradient-echo imaging (MPRAGE) MRI sequence, the specialized magnetization prepared 2 rapid acquisition gradient echoes (MP2RAGE) shows a higher brain tissue and lesion con ...

2021

Cross-Modal Learning of Housing Quality in Amsterdam

Devis Tuia, Alex Hubertus Levering

In our research we test data and models for the recognition of housing quality in the city of Amsterdam from ground-level and aerial imagery. For ground-level images we compare Google StreetView (GSV) to Flickr images. Our results show that GSV predicts th ...

ACM2021

Multi-Region Network Perimeter Control via Model Free Adaptive Iterative Learning Control

Nikolaos Geroliminis, Isik Ilber Sirmatel, Ye Ren

Most perimeter control methods in literature are the model-based schemes. However, accurate modeling of the traffic flow system is hard and time-consuming. On the other hand, macroscopic traffic flow patterns show heavily similarity between days, and data ...

2020

Strategy to validate sensor-placement methodologies in the context of sparse measurement in complex urban systems

Ian Smith, Numa Joy Bertola, Alberto Costa

The Internet of Things creates opportunities to develop data-driven design methodologies for smart cities. However, effects rather than causes are often measured in complex urban systems, requiring robust data-interpretation methodologies. Additionally, ef ...

2020

Built-in Self-Evaluation of First-Order Power Side-Channel Leakage for FPGAs

Francesco Regazzoni, Mirjana Stojilovic, Louis Coulon, Ognjen Glamocanin

Embedded and cyber-physical systems are pervading all aspects of our lives, including sensitive and critical ones. As a result, they are an alluring target for cyber attacks. These systems, whose implementation is often based on reconfigurable hardware, ar ...

2020

NovelT2Mapping for Evaluating Cervical Cancer Features by Providing QuantitativeT2Maps and Synthetic Morphologic Images: A Preliminary Study

Tobias Kober, Tom Hilbert, Yong Zhang, Meng Yang, Jie Liu

Background The application value of T(2)mapping in evaluating cervical cancer (CC) features remains unclear. Purpose To investigate the role of T(2)values in evaluating CC classification, grade, and lymphovascular space invasion (LVSI) in comparison to app ...

WILEY2020

Data driven model free adaptive iterative learning perimeter control for large-scale urban road networks

Nikolaos Geroliminis, Isik Ilber Sirmatel, Ye Ren

Most perimeter control methods in literature are the model-based schemes designing the controller based on the available accurate macroscopic fundamental diagram (MFD) function with well known techniques of modern control methods. However, accurate modelin ...

PERGAMON-ELSEVIER SCIENCE LTD2020

Partial-volume modeling reveals reduced gray matter in specific thalamic nuclei early in the time course of psychosis and chronic schizophrenia

Meritxell Bach Cuadra, Erick Jorge Canales Rodriguez, Patric Hagmann, Kim Do, Mario Joao Fartaria de Oliveira, Elena Najdenovska, Zita Rovó

The structural complexity of the thalamus, due to its mixed composition of gray and white matter, make it challenging to disjoint and quantify each tissue contribution to the thalamic anatomy. This work promotes the use of partial-volume-based over probabi ...

WILEY2020

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Test F

Geo-Data for Mapping Scenic Beauty: Exploring the Potential of Remote Sensing and Social Media

MPRAGE to MP2RAGE UNI translation via generative adversarial network improves the automatic tissue and lesion segmentation in multiple sclerosis patients

Cross-Modal Learning of Housing Quality in Amsterdam

Small-time local stabilization of the two dimensional incompressible Navier-Stokes equations

Multi-Region Network Perimeter Control via Model Free Adaptive Iterative Learning Control

Strategy to validate sensor-placement methodologies in the context of sparse measurement in complex urban systems

Built-in Self-Evaluation of First-Order Power Side-Channel Leakage for FPGAs

NovelT2Mapping for Evaluating Cervical Cancer Features by Providing QuantitativeT2Maps and Synthetic Morphologic Images: A Preliminary Study

Data driven model free adaptive iterative learning perimeter control for large-scale urban road networks

Partial-volume modeling reveals reduced gray matter in specific thalamic nuclei early in the time course of psychosis and chronic schizophrenia

Graph Chatbot

Chattez avec Graph Search

MPRAGE to MP2RAGE UNI translation via generative adversarial network improves the automatic tissue and lesion segmentation in multiple sclerosis patients

Geo-Data for Mapping Scenic Beauty: Exploring the Potential of Remote Sensing and Social Media

Strategy to validate sensor-placement methodologies in the context of sparse measurement in complex urban systems

NovelT2Mapping for Evaluating Cervical Cancer Features by Providing QuantitativeT2Maps and Synthetic Morphologic Images: A Preliminary Study

Multi-Region Network Perimeter Control via Model Free Adaptive Iterative Learning Control

Small-time local stabilization of the two dimensional incompressible Navier-Stokes equations

Data driven model free adaptive iterative learning perimeter control for large-scale urban road networks

Partial-volume modeling reveals reduced gray matter in specific thalamic nuclei early in the time course of psychosis and chronic schizophrenia

Cross-Modal Learning of Housing Quality in Amsterdam

Built-in Self-Evaluation of First-Order Power Side-Channel Leakage for FPGAs