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485 results on '"Goncalves, Pedro"'

1. Innovation in Luxury Tourism Towards Sustainability

Author

Santos, Vasco, Sousa, Bruno, Marcão, Ricardo, Santos, Rossana, Gonçalves, Pedro, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Rocha, Álvaro, editor, Montenegro, Carlos, editor, Pereira, Elisabeth T., editor, Victor, José A. M., editor, and Ibarra, Waldo, editor

Published
2024
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3. Truncated proposals for scalable and hassle-free simulation-based inference

Author

Deistler, Michael, Goncalves, Pedro J, and Macke, Jakob H

Subjects
Statistics - Machine Learning, Computer Science - Machine Learning
Abstract

Simulation-based inference (SBI) solves statistical inverse problems by repeatedly running a stochastic simulator and inferring posterior distributions from model-simulations. To improve simulation efficiency, several inference methods take a sequential approach and iteratively adapt the proposal distributions from which model simulations are generated. However, many of these sequential methods are difficult to use in practice, both because the resulting optimisation problems can be challenging and efficient diagnostic tools are lacking. To overcome these issues, we present Truncated Sequential Neural Posterior Estimation (TSNPE). TSNPE performs sequential inference with truncated proposals, sidestepping the optimisation issues of alternative approaches. In addition, TSNPE allows to efficiently perform coverage tests that can scale to complex models with many parameters. We demonstrate that TSNPE performs on par with previous methods on established benchmark tasks. We then apply TSNPE to two challenging problems from neuroscience and show that TSNPE can successfully obtain the posterior distributions, whereas previous methods fail. Overall, our results demonstrate that TSNPE is an efficient, accurate, and robust inference method that can scale to challenging scientific models.

Published
2022

4. Imaging the itinerant-to-localized transmutation of electrons across the metal-to-insulator transition in V$_2$O$_3$

Author

Thees, Maximilian, Lee, Min-Han, Bouwmeester, Rosa Luca, Rezende-Gonçalves, Pedro H., David, Emma, Zimmers, Alexandre, Frantzeskakis, Emmanouil, Vargas, Nicolas M., Kalcheim, Yoav, Fèvre, Patrick Le, Horiba, Koji, Kumigashira, Hiroshi, Biermann, Silke, Trastoy, Juan, Rozenberg, Marcelo J., Schuller, Ivan K., and Santander-Syro, Andrés F.

Subjects
Condensed Matter - Strongly Correlated Electrons, Condensed Matter - Materials Science
Abstract

In solids, strong repulsion between electrons can inhibit their movement and result in a "Mott" metal-to-insulator transition (MIT), a fundamental phenomenon whose understanding has remained a challenge for over 50 years. A key issue is how the wave-like itinerant electrons change into a localized-like state due to increased interactions. However, observing the MIT in terms of the energy- and momentum-resolved electronic structure of the system, the only direct way to probe both itinerant and localized states, has been elusive. Here we show, using angle-resolved photoemission spectroscopy (ARPES), that in V$_2$O$_3$ the temperature-induced MIT is characterized by the progressive disappearance of its itinerant conduction band, without any change in its energy-momentum dispersion, and the simultaneous shift to larger binding energies of a quasi-localized state initially located near the Fermi level., Comment: Main Text (4 figures) and Supplementary Information (12 figures)

Published
2022
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5. GATSBI: Generative Adversarial Training for Simulation-Based Inference

Author

Ramesh, Poornima, Lueckmann, Jan-Matthis, Boelts, Jan, Tejero-Cantero, Álvaro, Greenberg, David S., Gonçalves, Pedro J., and Macke, Jakob H.

Subjects
Statistics - Machine Learning, Computer Science - Machine Learning, Statistics - Methodology
Abstract

Simulation-based inference (SBI) refers to statistical inference on stochastic models for which we can generate samples, but not compute likelihoods. Like SBI algorithms, generative adversarial networks (GANs) do not require explicit likelihoods. We study the relationship between SBI and GANs, and introduce GATSBI, an adversarial approach to SBI. GATSBI reformulates the variational objective in an adversarial setting to learn implicit posterior distributions. Inference with GATSBI is amortised across observations, works in high-dimensional posterior spaces and supports implicit priors. We evaluate GATSBI on two SBI benchmark problems and on two high-dimensional simulators. On a model for wave propagation on the surface of a shallow water body, we show that GATSBI can return well-calibrated posterior estimates even in high dimensions. On a model of camera optics, it infers a high-dimensional posterior given an implicit prior, and performs better than a state-of-the-art SBI approach. We also show how GATSBI can be extended to perform sequential posterior estimation to focus on individual observations. Overall, GATSBI opens up opportunities for leveraging advances in GANs to perform Bayesian inference on high-dimensional simulation-based models.

Published
2022

7. LANDMARK comparison of early outcomes of newer-generation Myval transcatheter heart valve series with contemporary valves (Sapien and Evolut) in real-world individuals with severe symptomatic native aortic stenosis: a randomised non-inferiority trial

Author

Siqueira, Dimytri, Pinto, Ibraim, Cervone, Alberto, Assef, Jorge, Vilela, Andrea, Paladino, Antonio, Ramos, Auristela, Rezende, Mariana, Ghorayeb, Samira, Braga Silva, Tacianne Rolemberg, Gjorgjievska, Savica, Hadzibegovic, Irzal, Jurin, Ivana, Sipic, Tomislav, Pavlovic, Nikola, Rudez, Igor, Manola, Sime, GALLET DE SAINT-AURIN, Romain, BOUKANTAR, Madjid, NICOLAS, Eroan, ENNEZAT, Pierre Valdimir, URIEN, Jean Marie, Vincent, Flavien, Delhaye, Cedric, Denimal, Tom, Cosenza, Alessandro, Pamart, Thibault, Porouchani, Sina, Pontana, Francois, Montaigne, David, Balmette, Vincent, Bechiri, Mohamed, Chen, Elisabeth, Janah, Dany, Renker, Matthias, Westermann, Dirk, Valina, Christian, Ferenc, Miroslaw, Löffelhardt, Nikolaus, Rahimi, Faridun, Breitbart, Philipp, Franke, Kilian, Czerny, Martin, Diab, Nawras, Sick, Peter, Adeishvili, Medea, Mangner, Norman, Haussig, Stephan, Sveric, Krunuslav, Crusius, Lisa, Roehlig, Marie, Koliastasis, Leonidas, Drakopoulou, Maria, Katsaros, Odysseas, Ktenopoulos, Nikolaos, Ioanniadis, Andreas, Evangelou, Sotirios, Ninios, Ilias, Molnar, Levente, Papp, Roland, Arnold-Béla, Ferencz, Demeterné Kiss, Orsolya, Nagy, Andrea, Czimbalmos, Csilla, Pellegrinni, Dario, Montonati, Carolina, Pellicano, Mariano, Guagliumi, Giulio, Tespili, Maurizio, Barbara, Bellini, Filippo, Russo, Marco, Ancona, Ciro, Vella, Luca, Ferri, Eustachio, Agricola, Giacomo, Ingallina, Cannone, Gaspare, Brambilla, Nedy, Testa, Luca, Avondo, Stefano, Valvo, Roberto, Clarke, Robin, Fish, Mandy, Kosowski, Michal, Krawczyk, Magdalena, Kubler, Piotr, Kotwica, Tomasz, Teles, Rui, Gonçalves, Pedro, Raposo, Luis, Brito, Joã, Leal, Silvio, Freitas, Pedro, Ribeiras, Regina, Poliacikova, Petra, Mihailovic, Peter Marko, Terseglav, Simon, Steblovnik, Klemen, Cercek, Miha, Vitez, Luka, Sustersic, Miha, Kovac, Ana, Kogoj, Polonca, Dimitrovska, Ljupka, Arana, J.Raul Delgado, Martinez, Sandra Santos, Dieguez, Alfredo Redondo, Barrero, Alejandro, Gonzalez-Bartol, Esther, Aristizabal, Cristhian, Frutos, Ana Serrador, Luna, Juan Pablo Sanchez, Gomez, Mario Garcia, Gabella, Tania Rodriguez, Nelson, Verónica Quevedo, Medina, Jose Novoa, Ojeda, Soledad, de Lezo, Javier Suarez, Romero, Miguel, Gonzalez-Manzanares, Rafael, Alvarado, Marco, Mesa, Dolores, Perea, Jorge, Petursson, Petur, Alchay, Monér, Andréen, Sofie, Gameren, Menno Van, Heijer, Peter den, Meuwissen, Martijn, CHENG, JIN M., Vos, Jeroen, Schölzel, B.E., Simsek, C, Hubbers, S, Van den Branden, Ben J.L., Stens, NA, Versteeg, GAA, Rooijakkers, MJP, Gehlmann, HR, Verkroost, MWA, Geuzebroek, GSC, Van Wely, MH, Van Geuns, RJ, van Nunen, LX, van Garsse, LAFM, Timmers, L, ten Berg, Jurrien, Kraaijeveld, A.O., Dickinson, M.G., Dessing, T.C., Mokhles, M.M., Baumbach, Andreas, van Royen, Niels, Amat-Santos, Ignacio J, Hudec, Martin, Bunc, Matjaz, Ijsselmuiden, Alexander, Laanmets, Peep, Unic, Daniel, Merkely, Bela, Hermanides, Renicus S, Ninios, Vlasis, Protasiewicz, Marcin, Rensing, Benno J W M, Martin, Pedro L, Feres, Fausto, De Sousa Almeida, Manuel, van Belle, Eric, Linke, Axel, Ielasi, Alfonso, Montorfano, Matteo, Webster, Mark, Toutouzas, Konstantinos, Teiger, Emmanuel, Bedogni, Francesco, Voskuil, Michiel, Pan, Manuel, Angerås, Oskar, Kim, Won-Keun, Rothe, Jürgen, Kristić, Ivica, Peral, Vicente, Garg, Scot, Elzomor, Hesham, Tobe, Akihiro, Morice, Marie-Claude, Onuma, Yoshinobu, Soliman, Osama, and Serruys, Patrick W

Published
2024
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9. Prediction of the development of new coronary atherosclerotic plaques with radiomics

Author

Lee, Sang-Eun, Hong, Youngtaek, Hong, Jongsoo, Jung, Juyeong, Sung, Ji Min, Andreini, Daniele, Al-Mallah, Mouaz H., Budoff, Matthew J., Cademartiri, Filippo, Chinnaiyan, Kavitha, Choi, Jung Hyun, Chun, Eun Ju, Conte, Edoardo, Gottlieb, Ilan, Hadamitzky, Martin, Kim, Yong Jin, Lee, Byoung Kwon, Leipsic, Jonathon A., Maffei, Erica, Marques, Hugo, Gonçalves, Pedro de Araújo, Pontone, Gianluca, Shin, Sanghoon, Stone, Peter H., Samady, Habib, Virmani, Renu, Narula, Jagat, Shaw, Leslee J., Bax, Jeroen J., Lin, Fay Y., Min, James K., and Chang, Hyuk-Jae

Published
2024
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11. Benchmarking Simulation-Based Inference

Author

Lueckmann, Jan-Matthis, Boelts, Jan, Greenberg, David S., Gonçalves, Pedro J., and Macke, Jakob H.

Subjects
Statistics - Machine Learning, Computer Science - Machine Learning
Abstract

Recent advances in probabilistic modelling have led to a large number of simulation-based inference algorithms which do not require numerical evaluation of likelihoods. However, a public benchmark with appropriate performance metrics for such 'likelihood-free' algorithms has been lacking. This has made it difficult to compare algorithms and identify their strengths and weaknesses. We set out to fill this gap: We provide a benchmark with inference tasks and suitable performance metrics, with an initial selection of algorithms including recent approaches employing neural networks and classical Approximate Bayesian Computation methods. We found that the choice of performance metric is critical, that even state-of-the-art algorithms have substantial room for improvement, and that sequential estimation improves sample efficiency. Neural network-based approaches generally exhibit better performance, but there is no uniformly best algorithm. We provide practical advice and highlight the potential of the benchmark to diagnose problems and improve algorithms. The results can be explored interactively on a companion website. All code is open source, making it possible to contribute further benchmark tasks and inference algorithms., Comment: In AISTATS 2021

Published
2021

12. ICT Accessibility Requirements Tool – Version 1.2 – Implementing Experts’ Contributions, Improvements, and Suggestions

Author

Martins, Márcio, Godinho, Francisco, Gonçalves, Pedro, Gonçalves, Ramiro, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Antona, Margherita, editor, and Stephanidis, Constantine, editor

Published
2023
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14. SBI -- A toolkit for simulation-based inference

Author

Tejero-Cantero, Alvaro, Boelts, Jan, Deistler, Michael, Lueckmann, Jan-Matthis, Durkan, Conor, Gonçalves, Pedro J., Greenberg, David S., and Macke, Jakob H.

Subjects
Computer Science - Machine Learning, Quantitative Biology - Quantitative Methods, Statistics - Computation, Statistics - Machine Learning
Abstract

Scientists and engineers employ stochastic numerical simulators to model empirically observed phenomena. In contrast to purely statistical models, simulators express scientific principles that provide powerful inductive biases, improve generalization to new data or scenarios and allow for fewer, more interpretable and domain-relevant parameters. Despite these advantages, tuning a simulator's parameters so that its outputs match data is challenging. Simulation-based inference (SBI) seeks to identify parameter sets that a) are compatible with prior knowledge and b) match empirical observations. Importantly, SBI does not seek to recover a single 'best' data-compatible parameter set, but rather to identify all high probability regions of parameter space that explain observed data, and thereby to quantify parameter uncertainty. In Bayesian terminology, SBI aims to retrieve the posterior distribution over the parameters of interest. In contrast to conventional Bayesian inference, SBI is also applicable when one can run model simulations, but no formula or algorithm exists for evaluating the probability of data given parameters, i.e. the likelihood. We present $\texttt{sbi}$, a PyTorch-based package that implements SBI algorithms based on neural networks. $\texttt{sbi}$ facilitates inference on black-box simulators for practising scientists and engineers by providing a unified interface to state-of-the-art algorithms together with documentation and tutorials., Comment: Alvaro Tejero-Cantero, Jan Boelts, Michael Deistler, Jan-Matthis Lueckmann and Conor Durkan contributed equally in shared first authorship. This manuscript has been submitted for consideration to the Journal of Open Source Software (JOSS). 4 pages, no figures; v2: added link to sbi home

Published
2020

17. Effects of renin-angiotensin-aldosterone-system inhibitors on coronary atherosclerotic plaques: The PARADIGM registry

Author

Williams, Curtis, Han, Donghee, Takagi, Hidenobu, Fordyce, Christopher B., Sellers, Stephanie, Blanke, Philipp, Lin, Fay Y., Shaw, Leslee J., Lee, Sang-Eun, Andreini, Daniele, Al-Mallah, Mouaz H., Budoff, Matthew J., Cademartiri, Filippo, Chinnaiyan, Kavitha, Choi, Jung Hyun, Conte, Edoardo, Marques, Hugo, de Araújo Gonçalves, Pedro, Gottlieb, Ilan, Hadamitzky, Martin, Maffei, Erica, Pontone, Gianluca, Shin, Sanghoon, Kim, Yong-Jin, Lee, Byoung Kwon, Chun, Eun Ju, Sung, Ji Min, Virmani, Renu, Samady, Habib, Stone, Peter H., Berman, Daniel S., Narula, Jagat, Bax, Jeroen J., Leipsic, Jonathon A., and Chang, Hyuk-Jae

Published
2023
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18. Predictive value of a positive stress single-photon emission computed tomography or stress cardiac magnetic resonance for ruling in obstructive coronary artery disease in a real-world setting

Author

Silva, Cláudia, Lopes, Pedro, Gonçalves, Mariana, Ventosa, António, Calqueiro, João, Freitas, Pedro, Guerreiro, Sara, Brito, João, Abecasis, João, Raposo, Luís, Saraiva, Carla, de Araújo Gonçalves, Pedro, Santos, Ana, Campante Teles, Rui, de Sousa Almeida, Manuel, and Ferreira, António Miguel

Published
2023
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21. Clinical and Coronary Plaque Predictors of Atherosclerotic Nonresponse to Statin Therapy

Author

van Rosendael, Sophie E., van den Hoogen, Inge J., Lin, Fay Y., Andreini, Daniele, Al-Mallah, Mouaz H., Budoff, Matthew J., Cademartiri, Filippo, Chinnaiyan, Kavitha, Choi, Jung Hyun, Conte, Edoardo, Marques, Hugo, de Araújo Gonçalves, Pedro, Gottlieb, Ilan, Hadamitzky, Martin, Leipsic, Jonathon A., Maffei, Erica, Pontone, Gianluca, Raff, Gilbert L., Shin, Sanghoon, Kim, Yong-Jin, Lee, Byoung Kwon, Chun, Eun Ju, Sung, Ji Min, Lee, Sang-Eun, Virmani, Renu, Samady, Habib, Stone, Peter H., Min, James K., Narula, Jagat, Shaw, Leslee J., Chang, Hyuk-Jae, van Rosendael, Alexander R., and Bax, Jeroen J.

Published
2023
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22. Granulomatosis with Polyangiitis

Author

Foster, Charles Stephen, Gonçalves, Pedro, Anesi, Stephen D., Sundstrom, Jeffrey M., Section editor, Quillen, David A., Section editor, Albert, Daniel M., editor, Miller, Joan W., editor, Azar, Dimitri T., editor, and Young, Lucy H., editor

Published
2022
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23. Expert Validation of the ICT Accessibility Requirements Tool Prototype

Author

Martins, Márcio, Godinho, Francisco, Gonçalves, Pedro, Gonçalves, Ramiro, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Antona, Margherita, editor, and Stephanidis, Constantine, editor

Published
2022
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24. Usability and Accessibility Evaluation of the ICT Accessibility Requirements Tool Prototype

Author

Martins, Márcio, Godinho, Francisco, Gonçalves, Pedro, Gonçalves, Ramiro, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Antona, Margherita, editor, and Stephanidis, Constantine, editor

Published
2022
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25. Prognostic Significance of Nonobstructive Left Main Coronary Artery Disease in Patients With and Without Diabetes: Long-Term Outcomes From the CONFIRM Registry

Author

Lee, Juhwan, Shaikh, Kashif, Nakanishi, Rine, Gransar, Heidi, Achenbach, Stephan, Al-Mallah, Mouaz H., Andreini, Daniele, Bax, Jeroen J., Berman, Daniel S., Cademartiri, Filippo, Callister, Tracy Q., Chang, Hyuk-Jae, Chinnaiyan, Kavitha, Chow, Benjamin J.W., Cury, Ricardo C., DeLago, Augustin, Feuchtner, Gudrun, Hadamitzky, Martin, Hausleiter, Joerg, Kaufmann, Philipp A., Kim, Yong-Jin, Leipsic, Jonathon A., Maffei, Erica, Marques, Hugo, de Araújo Gonçalves, Pedro, Pontone, Gianluca, Rubinshtein, Ronen, Villines, Todd C., Lu, Yao, Peña, Jessica M., Lin, Fay Y., Min, James K., Shaw, Leslee J., and Budoff, Matthew J.

Published
2023
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27. Impact of the COVID-19 pandemic on percutaneous coronary interventions in Portugal

Author

Galvão Braga, Carlos, Araújo Gonçalves, Pedro, Cardoso, Pedro, Fiarresga, António, Santos, Lino, Domingues, Ana, Costa, Marco, Ferreira, Rui, Duarte, José, Seixo, Filipe, Campante Teles, Rui, Pereira, Hélder, Silva, João Carlos, Fernandes, Renato, Baptista, José, Braga, Pedro, Costa, João, Farto e Abreu, Pedro, Costa Ferreira, Pedro, Caires, Graça, Martins, Dinis, Sousa, Paulino, and Brum da Silveira, João

Published
2023
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29. Cholesteryl hemiazelate identified in CVD patients causes in vitro and in vivo inflammation

Author

Domingues, Neuza, Gaifem, Joana, Matthiesen, Rune, Saraiva, Diana P., Bento, Luís, Marques, André R.A., Soares, Maria I.L., Sampaio, Julio, Klose, Christian, Surma, Michal A., Almeida, Manuel S., Rodrigues, Gustavo, Gonçalves, Pedro Araújo, Ferreira, Jorge, e Melo, Ryan Gouveia, Pedro, Luís Mendes, Simons, Kai, Pinho e Melo, Teresa M.V.D., Cabral, M. Guadalupe, Jacinto, Antonio, Silvestre, Ricardo, Vaz, Winchil, and Vieira, Otília V.

Published
2023
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30. Secondary mitral regurgitation: Maintaining coherence with the American Society of Echocardiography grading guidelines, which proportionality concept best predicts prognosis in the real world?

Author

Presume, João, Lopes, Pedro, Freitas, Pedro, Albuquerque, Francisco, Reis, Carla, Horta, Eduarda, Marta, Liliana, Guerreiro, Sara, Trabulo, Marisa, Abecasis, João, de Araújo Gonçalves, Pedro, Almeida, Manuel, Canada, Manuel, Mendes, Miguel, Andrade, Maria João, and Ribeiras, Regina

Published
2022
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31. Extent of subclinical atherosclerosis on coronary computed tomography and impact of statins in patients with diabetes without known coronary artery disease: Results from CONFIRM registry

Author

Shaikh, Kashif, Ahmed, Arslan, Gransar, Heidi, Lee, JuHwan, Leipsic, Jonathon, Nakanishi, Rine, Alla, Venkata, Bax, Jeroen J., Chow, Benjamin J.W., Berman, Daniel S., Maffei, Erica, Lin, Fay Y., Ahmad, Aiza, DeLago, Augustin, Pontone, Gianluca, Feuchtner, Gudrun, Marques, Hugo, Min, James K., Hausleiter, Joerg, Hadamitzky, Martin, Kaufmann, Philipp A., de Araújo Gonçalves, Pedro, Cury, Ricardo C., Kim, Yong-Jin, Chang, Hyuk-Jae, Rubinshtein, Ronen, Villines, Todd C., Lu, Yao, Shaw, Leslee J., Acenbach, Stephen, Al.Mallah, Mouaz H., Andreini, Daniele, Cademartiri, Filippo, Callister, Tracy Q., and Budoff, Matthew J.

Published
2022
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32. Cardiovascular Risk Reduction After Renal Denervation According to Time in Therapeutic Systolic Blood Pressure Range

Author

Mahfoud, Felix, Mancia, Giuseppe, Schmieder, Roland E., Ruilope, Luis, Narkiewicz, Krzysztof, Schlaich, Markus, Williams, Bryan, Ribichini, Flavio, Weil, Joachim, Kao, Hsien-Li, Rodriguez-Leor, Oriol, Noory, Elias, Ong, Tiong Kiam, Unterseeh, Thierry, de Araújo Gonçalves, Pedro, Zirlik, Andreas, Almerri, Khaled, Sharif, Faisal, Lauder, Lucas, Wanten, Marianne, Fahy, Martin, and Böhm, Michael

Published
2022
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33. Age related compositional plaque burden by CT in patients with future ACS

Author

van Rosendael, Alexander R., van den Hoogen, Inge J., Lin, Fay Y., Gianni, Umberto, Lu, Yao, Andreini, Daniele, Al-Mallah, Mouaz H., Cademartiri, Filippo, Chinnaiyan, Kavitha, Chow, Benjamin J.W., Conte, Edoardo, Cury, Ricardo C., Feuchtner, Gudrun, de Araújo Gonçalves, Pedro, Hadamitzky, Martin, Kim, Yong-Jin, Leipsic, Jonathon A., Maffei, Erica, Marques, Hugo, Plank, Fabian, Pontone, Gianluca, Raff, Gilbert L., Villines, Todd C., Lee, Sang-Eun, Al’Aref, Subhi J., Baskaran, Lohendran, Cho, Iksung, Danad, Ibrahim, Gransar, Heidi, Budoff, Matthew J., Samady, Habib, Virmani, Renu, Min, James K., Narula, Jagat, Berman, Daniel S., Chang, Hyuk-Jae, Shaw, Leslee J., and Bax, Jeroen J.

Published
2022
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34. Association Between Changes in Perivascular Adipose Tissue Density and Plaque Progression

Author

Lee, Sang-Eun, Sung, Ji Min, Andreini, Daniele, Al-Mallah, Mouaz H., Budoff, Matthew J., Cademartiri, Filippo, Chinnaiyan, Kavitha, Choi, Jung Hyun, Chun, Eun Ju, Conte, Edoardo, Gottlieb, Ilan, Hadamitzky, Martin, Kim, Yong Jin, Lee, Byoung Kwon, Leipsic, Jonathon A., Maffei, Erica, Marques, Hugo, de Araújo Gonçalves, Pedro, Pontone, Gianluca, Shin, Sanghoon, Kitslaar, Pieter H., Reiber, Johan H.C., Stone, Peter H., Samady, Habib, Virmani, Renu, Narula, Jagat, Berman, Daniel S., Shaw, Leslee J., Bax, Jeroen J., Lin, Fay Y., Min, James K., and Chang, Hyuk-Jae

Published
2022
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36. Longitudinal Quantitative Assessment of Coronary Atherosclerotic Plaque Burden Related to Serum Hemoglobin Levels

Author

Won, Ki-Bum, Lee, Byoung Kwon, Heo, Ran, Park, Hyung-Bok, Lin, Fay Y., Hadamitzky, Martin, Kim, Yong-Jin, Sung, Ji Min, Conte, Edoardo, Andreini, Daniele, Pontone, Gianluca, Budoff, Matthew J., Gottlieb, Ilan, Chun, Eun Ju, Cademartiri, Filippo, Maffei, Erica, Marques, Hugo, de Araújo Gonçalves, Pedro, Leipsic, Jonathon A., Lee, Sang-Eun, Shin, Sanghoon, Choi, Jung Hyun, Virmani, Renu, Samady, Habib, Chinnaiyan, Kavitha, Berman, Daniel S., Narula, Jagat, Bax, Jeroen J., Min, James K., and Chang, Hyuk-Jae

Published
2022
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37. Relationship Between Coronary Artery Calcium and Atherosclerosis Progression Among Patients With Suspected Coronary Artery Disease

Author

Hollenberg, Emma J., Lin, Fay, Blaha, Michael J., Budoff, Matthew J., van den Hoogen, Inge J., Gianni, Umberto, Lu, Yao, Bax, A. Maxim, van Rosendael, Alexander R., Tantawy, Sara W., Andreini, Daniele, Cademartiri, Filippo, Chinnaiyan, Kavitha, Choi, Jung Hyun, Conte, Edoardo, de Araújo Gonçalves, Pedro, Hadamitzky, Martin, Maffei, Erica, Pontone, Gianluca, Shin, Sanghoon, Kim, Yong-Jin, Lee, Byoung Kwon, Chun, Eun Ju, Sung, Ji Min, Gimelli, Alessia, Lee, Sang-Eun, Bax, Jeroen J., Berman, Daniel S., Sellers, Stephanie L., Leipsic, Jonathon A., Blankstein, Ron, Narula, Jagat, Chang, Hyuk-Jae, and Shaw, Leslee J.

Published
2022
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40. Flexible statistical inference for mechanistic models of neural dynamics

Author

Lueckmann, Jan-Matthis, Goncalves, Pedro J., Bassetto, Giacomo, Öcal, Kaan, Nonnenmacher, Marcel, and Macke, Jakob H.

Subjects
Statistics - Machine Learning
Abstract

Mechanistic models of single-neuron dynamics have been extensively studied in computational neuroscience. However, identifying which models can quantitatively reproduce empirically measured data has been challenging. We propose to overcome this limitation by using likelihood-free inference approaches (also known as Approximate Bayesian Computation, ABC) to perform full Bayesian inference on single-neuron models. Our approach builds on recent advances in ABC by learning a neural network which maps features of the observed data to the posterior distribution over parameters. We learn a Bayesian mixture-density network approximating the posterior over multiple rounds of adaptively chosen simulations. Furthermore, we propose an efficient approach for handling missing features and parameter settings for which the simulator fails, as well as a strategy for automatically learning relevant features using recurrent neural networks. On synthetic data, our approach efficiently estimates posterior distributions and recovers ground-truth parameters. On in-vitro recordings of membrane voltages, we recover multivariate posteriors over biophysical parameters, which yield model-predicted voltage traces that accurately match empirical data. Our approach will enable neuroscientists to perform Bayesian inference on complex neuron models without having to design model-specific algorithms, closing the gap between mechanistic and statistical approaches to single-neuron modelling., Comment: NIPS 2017. The first two authors contributed equally

Published
2017

42. Association of Tube Voltage With Plaque Composition on Coronary CT Angiography: Results From PARADIGM Registry

Author

Takagi, Hidenobu, Leipsic, Jonathon A., Indraratna, Praveen, Gulsin, Gaurav, Khasanova, Elina, Tzimas, Georgios, Lin, Fay Y., Shaw, Leslee J., Lee, Sang-Eun, Andreini, Daniele, Al-Mallah, Mouaz H., Budoff, Matthew J., Cademartiri, Filippo, Chinnaiyan, Kavitha, Choi, Jung Hyun, Conte, Edoardo, Marques, Hugo, de Araújo Gonçalves, Pedro, Gottlieb, Ilan, Hadamitzky, Martin, Maffei, Erica, Pontone, Gianluca, Shin, Sanghoon, Kim, Yong-Jin, Lee, Byoung Kwon, Chun, Eun Ju, Sung, Ji Min, Virmani, Renu, Samady, Habib, Stone, Peter H., Berman, Daniel S., Narula, Jagat, Bax, Jeroen J., and Chang, Hyuk-Jae

Published
2021
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43. Definition of Flood-Prone Areas: A Comparison between HEC-RAS and Iber Software Results

Author

Martins, Márcia, Gonçalves, Pedro, Gomes, Alberto, Teixeira, José, Pisello, Anna Laura, Editorial Board Member, Hawkes, Dean, Editorial Board Member, Bougdah, Hocine, Editorial Board Member, Rosso, Federica, Editorial Board Member, Abdalla, Hassan, Editorial Board Member, Boemi, Sofia-Natalia, Editorial Board Member, Mohareb, Nabil, Editorial Board Member, Mesbah Elkaffas, Saleh, Editorial Board Member, Bozonnet, Emmanuel, Editorial Board Member, Pignatta, Gloria, Editorial Board Member, Mahgoub, Yasser, Editorial Board Member, De Bonis, Luciano, Editorial Board Member, Kostopoulou, Stella, Editorial Board Member, Pradhan, Biswajeet, Editorial Board Member, Abdul Mannan, Md., Editorial Board Member, Alalouch, Chaham, Editorial Board Member, O. Gawad, Iman, Editorial Board Member, Nayyar, Anand, Editorial Board Member, Amer, Mourad, Series Editor, Fernandes, Francisco, editor, Malheiro, Ana, editor, and Chaminé, Helder I., editor

Published
2020
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44. Plaque Character and Progression According to the Location of Coronary Atherosclerotic Plaque

Author

Bax, A. Maxim, Yoon, Yeonyee E., Gianni, Umberto, Ma, Xiaoyue, Lu, Yao, Lee, Benjamin C., Goebel, Benjamin, Han, Donghee, Lee, Sang-Eun, Sung, Ji Min, Andreini, Daniele, Al-Mallah, Mouaz H., Budoff, Matthew J., Cademartiri, Filippo, Chinnaiyan, Kavitha, Choi, Jung Hyun, Chun, Eun Ju, Conte, Edoardo, Gottlieb, Ilan, Hadamitzky, Martin, Kim, Yong Jin, Lee, Byoung Kwon, Leipsic, Jonathon A., Maffei, Erica, Marques, Hugo, Gonçalves, Pedro de Araújo, Pontone, Gianluca, Shin, Sanghoon, Narula, Jagat, Lin, Fay Yu-Huei, Shaw, Leslee J., and Chang, Hyuk-Jae

Published
2021
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46. A monocyte/dendritic cell molecular signature of SARS-CoV-2-related multisystem inflammatory syndrome in children with severe myocarditis

Author

de Cevins, Camille, Luka, Marine, Smith, Nikaïa, Meynier, Sonia, Magérus, Aude, Carbone, Francesco, García-Paredes, Víctor, Barnabei, Laura, Batignes, Maxime, Boullé, Alexandre, Stolzenberg, Marie-Claude, Pérot, Brieuc P., Charbit, Bruno, Fali, Tinhinane, Pirabakaran, Vithura, Sorin, Boris, Riller, Quentin, Abdessalem, Ghaith, Beretta, Maxime, Grzelak, Ludivine, Goncalves, Pedro, Di Santo, James P., Mouquet, Hugo, Schwartz, Olivier, Zarhrate, Mohammed, Parisot, Mélanie, Bole-Feysot, Christine, Masson, Cécile, Cagnard, Nicolas, Corneau, Aurélien, Brunaud, Camille, Zhang, Shen-Ying, Casanova, Jean-Laurent, Bader-Meunier, Brigitte, Haroche, Julien, Melki, Isabelle, Lorrot, Mathie, Oualha, Mehdi, Moulin, Florence, Bonnet, Damien, Belhadjer, Zahra, Leruez, Marianne, Allali, Slimane, Gras-Leguen, Christèle, de Pontual, Loïc, Fischer, Alain, Duffy, Darragh, Rieux-Laucat, Fredéric, Toubiana, Julie, and Ménager, Mickaël M.

Published
2021
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47. Progression of whole-heart Atherosclerosis by coronary CT and major adverse cardiovascular events

Author

van Rosendael, Alexander R., Lin, Fay Y., van den Hoogen, Inge J., Ma, Xiaoyue, Gianni, Umberto, Al Hussein Alawamlh, Omar, Al’Aref, Subhi J., Peña, Jessica M., Andreini, Daniele, Budoff, Matthew J., Cademartiri, Filippo, Chinnaiyan, Kavitha, Choi, Jung Hyun, Conte, Edoardo, Marques, Hugo, de Araújo Gonçalves, Pedro, Gottlieb, Ilan, Hadamitzky, Martin, Leipsic, Jonathon, Maffei, Erica, Pontone, Gianluca, Raff, Gilbert L., Shin, Sanghoon, Kim, Yong-Jin, Lee, Byoung Kwon, Chun, Eun Ju, Sung, Ji Min, Lee, Sang-Eun, Han, Donghee, Berman, Daniel S., Virmani, Renu, Samady, Habib, Stone, Peter, Narula, Jagat, Bax, Jeroen J., Shaw, Leslee J., Min, James K., and Chang, Hyuk-Jae

Published
2021
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