Search

Your search keyword '"Puiu, Andrei"' showing total 6 results
Start Over Author "Puiu, Andrei" Publisher mdpi
6 results on '"Puiu, Andrei"'

1. Towards a Deep-Learning Approach for Prediction of Fractional Flow Reserve from Optical Coherence Tomography.

Author

Hatfaludi, Cosmin-Andrei, Tache, Irina-Andra, Ciușdel, Costin Florian, Puiu, Andrei, Stoian, Diana, Itu, Lucian Mihai, Calmac, Lucian, Popa-Fotea, Nicoleta-Monica, Bataila, Vlad, and Scafa-Udriste, Alexandru

Subjects
OPTICAL coherence tomography, OPTICAL flow, CORONARY artery disease, ARTIFICIAL neural networks, CONVOLUTIONAL neural networks, DEEP learning, FORECASTING
Abstract

Cardiovascular disease (CVD) is the number one cause of death worldwide, and coronary artery disease (CAD) is the most prevalent CVD, accounting for 42% of these deaths. In view of the limitations of the anatomical evaluation of CAD, Fractional Flow Reserve (FFR) has been introduced as a functional diagnostic index. Herein, we evaluate the feasibility of using deep neural networks (DNN) in an ensemble approach to predict the invasively measured FFR from raw anatomical information that is extracted from optical coherence tomography (OCT). We evaluate the performance of various DNN architectures under different formulations: regression, classification—standard, and few-shot learning (FSL) on a dataset containing 102 intermediate lesions from 80 patients. The FSL approach that is based on a convolutional neural network leads to slightly better results compared to the standard classification: the per-lesion accuracy, sensitivity, and specificity were 77.5%, 72.9%, and 81.5%, respectively. However, since the 95% confidence intervals overlap, the differences are statistically not significant. The main findings of this study can be summarized as follows: (1) Deep-learning (DL)-based FFR prediction from reduced-order raw anatomical data is feasible in intermediate coronary artery lesions; (2) DL-based FFR prediction provides superior diagnostic performance compared to baseline approaches that are based on minimal lumen diameter and percentage diameter stenosis; and (3) the FFR prediction performance increases quasi-linearly with the dataset size, indicating that a larger train dataset will likely lead to superior diagnostic performance. [ABSTRACT FROM AUTHOR]

Published
2022
Full Text
View/download PDF

2. Privacy-Preserving and Explainable AI in Industrial Applications.

Author

Ogrezeanu, Iulian, Vizitiu, Anamaria, Ciușdel, Costin, Puiu, Andrei, Coman, Simona, Boldișor, Cristian, Itu, Alina, Demeter, Robert, Moldoveanu, Florin, Suciu, Constantin, and Itu, Lucian

Subjects
ARTIFICIAL intelligence, INDUSTRIAL applications, MANUFACTURING processes, INDUSTRY 4.0, PROCESS optimization, INTERNET of things
Abstract

The industrial environment has gone through the fourth revolution, also called "Industry 4.0", where the main aspect is digitalization. Each device employed in an industrial process is connected to a network called the industrial Internet of things (IIOT). With IIOT manufacturers being capable of tracking every device, it has become easier to prevent or quickly solve failures. Specifically, the large amount of available data has allowed the use of artificial intelligence (AI) algorithms to improve industrial applications in many ways (e.g., failure detection, process optimization, and abnormality detection). Although data are abundant, their access has raised problems due to privacy concerns of manufacturers. Censoring sensitive information is not a desired approach because it negatively impacts the AI performance. To increase trust, there is also the need to understand how AI algorithms make choices, i.e., to no longer regard them as black boxes. This paper focuses on recent advancements related to the challenges mentioned above, discusses the industrial impact of proposed solutions, and identifies challenges for future research. It also presents examples related to privacy-preserving and explainable AI solutions, and comments on the interaction between the identified challenges in the conclusions. [ABSTRACT FROM AUTHOR]

Published
2022
Full Text
View/download PDF

3. Generative Adversarial CT Volume Extrapolation for Robust Small-to-Large Field of View Registration.

Author

Puiu, Andrei, Reaungamornrat, Sureerat, Pheiffer, Thomas, Itu, Lucian Mihai, Suciu, Constantin, Ghesu, Florin Cristian, and Mansi, Tommaso

Subjects
EXTRAPOLATION, SURGICAL instruments, RECORDING & registration, GENERATIVE adversarial networks
Abstract

Intraoperative Computer Tomographs (iCT) provide near real time visualizations which can be registered with high-quality preoperative images to improve the confidence of surgical instrument navigation. However, intraoperative images have a small field of view making the registration process error prone due to the reduced amount of mutual information. We herein propose a method to extrapolate thin acquisitions as a prior step to registration, to increase the field of view of the intraoperative images, and hence also the robustness of the guiding system. The method is based on a deep neural network which is trained adversarially using self-supervision to extrapolate slices from the existing ones. Median landmark detection errors are reduced by approximately 40%, yielding a better initial alignment. Furthermore, the intensity-based registration is improved; the surface distance errors are reduced by an order of magnitude, from 5.66 mm to 0.57 mm (p-value = 4.18 × 10 − 6 ). The proposed extrapolation method increases the registration robustness, which plays a key role in guiding the surgical intervention confidently. [ABSTRACT FROM AUTHOR]

Published
2022
Full Text
View/download PDF

4. Results from the Cuore Experiment

Author

Caminata, Alessio, Adams, Douglas, Alduino, Chris, Alfonso, Krystal, Avignone, Frank, Azzolini, Oscar, Bari, Giacomo, Bellini, Fabio, Benato, Giovanni, Bersani, Andrea, Biassoni, Matteo, Branca, Antonio, Brofferio, Chiara, Bucci, Carlo, Campani, Alice, Canonica, Lucia, Cao, Xi-Guang, Capelli, Silvia, Cappelli, Luigi, Cardani, Laura, Carniti, Paolo, Casali, Nicola, Chiesa, Davide, Chott, Nicholas, Clemenza, Massimiliano, Copello, Simone, Cosmelli, Carlo, Cremonesi, Oliviero, Creswick, Richard, Cushman, Jeremy, D’Addabbo, Antonio, D’Aguanno, Damiano, Dafinei, Ioan, Davis, Christopher, Dell’Oro, Stefano, Deninno, Milena, Di Domizio, Sergio, Dompè, Valentina, Drobizhev, Alexey, Fang, De-Qing, Fantini, Guido, Faverzani, Marco, Ferri, Elena, Ferroni, Fernando, Fiorini, Ettore, Franceschi, Massimo Alberto, Freedman, Stuart, Fujikawa, Brian, Giachero, Andrea, Gironi, Luca, Giuliani, Andrea, Gorla, Paolo, Gotti, Claudio, Gutierrez, Thomas, Han, Ke, Heeger, Karsten, Hennings-Yeomans, Raul, Huang, Roger, Huang, Huan Zhong, Johnston, Joe, Keppel, Giorgio, Kolomensky, Yury, Leder, Alexander, Ligi, Carlo, Ma, Yu-Gang, Marini, Laura, Martinez, Maria, Maruyama, Reina, Mei, Yuan, Moggi, Niccolo, Morganti, Silvio, Napolitano, Tommaso, Nastasi, Massimiliano, Nones, Claudia, Norman, Eric, Novati, Valentina, Nucciotti, Angelo, Nutini, Irene, O’Donnell, Thomas, Ouellet, Jonathan, Pagliarone, Carmine, Pallavicini, Marco, Pattavina, Luca, Pavan, Maura, Pessina, Gianluigi, Pettinacci, Valerio, Pira, Cristian, Pirro, Stefano, Pozzi, Stefano, Previtali, Ezio, Puiu, Andrei, Rosenfeld, Carl, Rusconi, Claudia, Sakai, Michinari, Sangiorgio, Samuele, Schmidt, Benjamin, Scielzo, Nick, Singh, Vivek, Sisti, Monica, Speller, Danielle, Taffarello, Luca, Terranova, Francesco, Tomei, Claudia, Vignati, Marco, Wagaarachchi, Sachinthya, Wang, Barbara, Welliver, Bradford, Wilson, Jeffrey, Wilson, Kevin, Winslow, Lindley, Wise, Tom, Zanotti, Luigi, Zimmermann, Sergio, Zucchelli, Stefano, Caminata, Alessio, Adams, Douglas, Alduino, Chris, Alfonso, Krystal, Avignone, Frank, Azzolini, Oscar, Bari, Giacomo, Bellini, Fabio, Benato, Giovanni, Bersani, Andrea, Biassoni, Matteo, Branca, Antonio, Brofferio, Chiara, Bucci, Carlo, Campani, Alice, Canonica, Lucia, Cao, Xi-Guang, Capelli, Silvia, Cappelli, Luigi, Cardani, Laura, Carniti, Paolo, Casali, Nicola, Chiesa, Davide, Chott, Nicholas, Clemenza, Massimiliano, Copello, Simone, Cosmelli, Carlo, Cremonesi, Oliviero, Creswick, Richard, Cushman, Jeremy, D’Addabbo, Antonio, D’Aguanno, Damiano, Dafinei, Ioan, Davis, Christopher, Dell’Oro, Stefano, Deninno, Milena, Di Domizio, Sergio, Dompè, Valentina, Drobizhev, Alexey, Fang, De-Qing, Fantini, Guido, Faverzani, Marco, Ferri, Elena, Ferroni, Fernando, Fiorini, Ettore, Franceschi, Massimo Alberto, Freedman, Stuart, Fujikawa, Brian, Giachero, Andrea, Gironi, Luca, Giuliani, Andrea, Gorla, Paolo, Gotti, Claudio, Gutierrez, Thomas, Han, Ke, Heeger, Karsten, Hennings-Yeomans, Raul, Huang, Roger, Huang, Huan Zhong, Johnston, Joe, Keppel, Giorgio, Kolomensky, Yury, Leder, Alexander, Ligi, Carlo, Ma, Yu-Gang, Marini, Laura, Martinez, Maria, Maruyama, Reina, Mei, Yuan, Moggi, Niccolo, Morganti, Silvio, Napolitano, Tommaso, Nastasi, Massimiliano, Nones, Claudia, Norman, Eric, Novati, Valentina, Nucciotti, Angelo, Nutini, Irene, O’Donnell, Thomas, Ouellet, Jonathan, Pagliarone, Carmine, Pallavicini, Marco, Pattavina, Luca, Pavan, Maura, Pessina, Gianluigi, Pettinacci, Valerio, Pira, Cristian, Pirro, Stefano, Pozzi, Stefano, Previtali, Ezio, Puiu, Andrei, Rosenfeld, Carl, Rusconi, Claudia, Sakai, Michinari, Sangiorgio, Samuele, Schmidt, Benjamin, Scielzo, Nick, Singh, Vivek, Sisti, Monica, Speller, Danielle, Taffarello, Luca, Terranova, Francesco, Tomei, Claudia, Vignati, Marco, Wagaarachchi, Sachinthya, Wang, Barbara, Welliver, Bradford, Wilson, Jeffrey, Wilson, Kevin, Winslow, Lindley, Wise, Tom, Zanotti, Luigi, Zimmermann, Sergio, and Zucchelli, Stefano

Abstract

The Cryogenic Underground Observatory for Rare Events (CUORE) is the first bolometric experiment searching for neutrinoless double beta decay that has been able to reach the 1-ton scale. The detector consists of an array of 988 TeO 2 emantics> crystals arranged in a cylindrical compact structure of 19 towers, each of them made of 52 crystals. The construction of the experiment was completed in August 2016 and the data taking started in spring 2017 after a period of commissioning and tests. In this work we present the neutrinoless double beta decay results of CUORE from examining a total TeO 2 emantics> exposure of 86.3 kg yr emantics> , characterized by an effective energy resolution of 7.7 keV FWHM and a background in the region of interest of 0.014 emantics> counts / ( keV kg yr ) emantics> . In this physics run, CUORE placed a lower limit on the decay half-life of neutrinoless double beta decay of 130 Te > 1.3 · 10 25 emantics> yr (90% C.L.). Moreover, an analysis of the background of the experiment is pre

Published
2019
Full Text
View/download PDF

5. Results from the Cuore Experiment

Author

Center for Neutrino Physics, Caminata, Alessio, Adams, Douglas, Alduino, Chris, Alfonso, Krystal, Avignone, Frank, Azzolini, Oscar, Bari, Giacomo, Bellini, Fabio, Benato, Giovanni, Bersani, Andrea, Biassoni, Matteo, Branca, Antonio, Brofferio, Chiara, Bucci, Carlo, Campani, Alice, Canonica, Lucia, Cao, Xi-Guang, Capelli, Silvia, Cappelli, Luigi, Cardani, Laura, Carniti, Paolo, Casali, Nicola, Chiesa, Davide, Chott, Nicholas, Clemenza, Massimiliano, Copello, Simone, Cosmelli, Carlo, Cremonesi, Oliviero, Creswick, Richard, Cushman, Jeremy, D’Addabbo, Antonio, D’Aguanno, Damiano, Dafinei, Ioan, Davis, Christopher, Dell’Oro, Stefano, Deninno, Milena, Di Domizio, Sergio, Dompè, Valentina, Drobizhev, Alexey, Fang, De-Qing, Fantini, Guido, Faverzani, Marco, Ferri, Elena, Ferroni, Fernando, Fiorini, Ettore, Franceschi, Massimo Alberto, Freedman, Stuart, Fujikawa, Brian, Giachero, Andrea, Gironi, Luca, Giuliani, Andrea, Gorla, Paolo, Gotti, Claudio, Gutierrez, Thomas, Han, Ke, Heeger, Karsten, Hennings-Yeomans, Raul, Huang, Roger, Huang, Huan Zhong, Johnston, Joe, Keppel, Giorgio, Kolomensky, Yury, Leder, Alexander, Ligi, Carlo, Ma, Yu-Gang, Marini, Laura, Martinez, Maria, Maruyama, Reina, Mei, Yuan, Moggi, Niccolo, Morganti, Silvio, Napolitano, Tommaso, Nastasi, Massimiliano, Nones, Claudia, Norman, Eric, Novati, Valentina, Nucciotti, Angelo, Nutini, Irene, O’Donnell, Thomas, Ouellet, Jonathan, Pagliarone, Carmine, Pallavicini, Marco, Pattavina, Luca, Pavan, Maura, Pessina, Gianluigi, Pettinacci, Valerio, Pira, Cristian, Pirro, Stefano, Pozzi, Stefano, Previtali, Ezio, Puiu, Andrei, Rosenfeld, Carl, Rusconi, Claudia, Sakai, Michinari, Sangiorgio, Samuele, Schmidt, Benjamin, Scielzo, Nick, Singh, Vivek, Sisti, Monica, Speller, Danielle, Taffarello, Luca, Terranova, Francesco, Tomei, Claudia, Vignati, Marco, Wagaarachchi, Sachinthya, Wang, Barbara, Welliver, Bradford, Wilson, Jeffrey, Wilson, Kevin, Winslow, Lindley, Wise, Tom, Zanotti, Luigi, Zimmermann, Sergio, Zucchelli, Stefano, Center for Neutrino Physics, Caminata, Alessio, Adams, Douglas, Alduino, Chris, Alfonso, Krystal, Avignone, Frank, Azzolini, Oscar, Bari, Giacomo, Bellini, Fabio, Benato, Giovanni, Bersani, Andrea, Biassoni, Matteo, Branca, Antonio, Brofferio, Chiara, Bucci, Carlo, Campani, Alice, Canonica, Lucia, Cao, Xi-Guang, Capelli, Silvia, Cappelli, Luigi, Cardani, Laura, Carniti, Paolo, Casali, Nicola, Chiesa, Davide, Chott, Nicholas, Clemenza, Massimiliano, Copello, Simone, Cosmelli, Carlo, Cremonesi, Oliviero, Creswick, Richard, Cushman, Jeremy, D’Addabbo, Antonio, D’Aguanno, Damiano, Dafinei, Ioan, Davis, Christopher, Dell’Oro, Stefano, Deninno, Milena, Di Domizio, Sergio, Dompè, Valentina, Drobizhev, Alexey, Fang, De-Qing, Fantini, Guido, Faverzani, Marco, Ferri, Elena, Ferroni, Fernando, Fiorini, Ettore, Franceschi, Massimo Alberto, Freedman, Stuart, Fujikawa, Brian, Giachero, Andrea, Gironi, Luca, Giuliani, Andrea, Gorla, Paolo, Gotti, Claudio, Gutierrez, Thomas, Han, Ke, Heeger, Karsten, Hennings-Yeomans, Raul, Huang, Roger, Huang, Huan Zhong, Johnston, Joe, Keppel, Giorgio, Kolomensky, Yury, Leder, Alexander, Ligi, Carlo, Ma, Yu-Gang, Marini, Laura, Martinez, Maria, Maruyama, Reina, Mei, Yuan, Moggi, Niccolo, Morganti, Silvio, Napolitano, Tommaso, Nastasi, Massimiliano, Nones, Claudia, Norman, Eric, Novati, Valentina, Nucciotti, Angelo, Nutini, Irene, O’Donnell, Thomas, Ouellet, Jonathan, Pagliarone, Carmine, Pallavicini, Marco, Pattavina, Luca, Pavan, Maura, Pessina, Gianluigi, Pettinacci, Valerio, Pira, Cristian, Pirro, Stefano, Pozzi, Stefano, Previtali, Ezio, Puiu, Andrei, Rosenfeld, Carl, Rusconi, Claudia, Sakai, Michinari, Sangiorgio, Samuele, Schmidt, Benjamin, Scielzo, Nick, Singh, Vivek, Sisti, Monica, Speller, Danielle, Taffarello, Luca, Terranova, Francesco, Tomei, Claudia, Vignati, Marco, Wagaarachchi, Sachinthya, Wang, Barbara, Welliver, Bradford, Wilson, Jeffrey, Wilson, Kevin, Winslow, Lindley, Wise, Tom, Zanotti, Luigi, Zimmermann, Sergio, and Zucchelli, Stefano

Abstract

The Cryogenic Underground Observatory for Rare Events (CUORE) is the first bolometric experiment searching for neutrinoless double beta decay that has been able to reach the 1-ton scale. The detector consists of an array of 988 TeO 2 emantics> crystals arranged in a cylindrical compact structure of 19 towers, each of them made of 52 crystals. The construction of the experiment was completed in August 2016 and the data taking started in spring 2017 after a period of commissioning and tests. In this work we present the neutrinoless double beta decay results of CUORE from examining a total TeO 2 emantics> exposure of 86.3 kg yr emantics> , characterized by an effective energy resolution of 7.7 keV FWHM and a background in the region of interest of 0.014 emantics> counts / ( keV kg yr ) emantics> . In this physics run, CUORE placed a lower limit on the decay half-life of neutrinoless double beta decay of 130 Te > 1.3 · 10 25 emantics> yr (90% C.L.). Moreover, an analysis of the background of the experiment is pre

Published
2019

6. Replication of Previous Findings? Comparing Gray Matter Volumes in Transgender Individuals with Gender Incongruence and Cisgender Individuals.

Author

Clemens, Benjamin, Votinov, Mikhail, Puiu, Andrei Alexandru, Schüppen, Andre, Hüpen, Philippa, Neulen, Josef, Derntl, Birgit, Habel, Ute, and Fisher, Alessandra Daphne

Subjects
TRANSGENDER people, CISGENDER people, GRAY matter (Nerve tissue), MAGNETIC resonance imaging
Abstract

The brain structural changes related to gender incongruence (GI) are still poorly understood. Previous studies comparing gray matter volumes (GMV) between cisgender and transgender individuals with GI revealed conflicting results. Leveraging a comprehensive sample of transmen (n = 33), transwomen (n = 33), cismen (n = 24), and ciswomen (n = 25), we employ a region-of-interest (ROI) approach to examine the most frequently reported brain regions showing GMV differences between trans- and cisgender individuals. The primary aim is to replicate previous findings and identify anatomical regions which differ between transgender individuals with GI and cisgender individuals. On the basis of a comprehensive literature search, we selected a set of ROIs (thalamus, putamen, cerebellum, angular gyrus, precentral gyrus) for which differences between cis- and transgender groups have been previously observed. The putamen was the only region showing significant GMV differences between cis- and transgender, across previous studies and the present study. We observed increased GMV in the putamen for transwomen compared to both transmen and ciswomen and for all transgender participants compared to all cisgender participants. Such a pattern of neuroanatomical differences corroborates the large majority of previous studies. This potential replication of previous findings and the known involvement of the putamen in cognitive processes related to body representations and the creation of the own body image indicate the relevance of this region for GI and its potential as a structural biomarker for GI. [ABSTRACT FROM AUTHOR]

Published
2021
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results