Luca Pegolotti

14 papers Journal 13Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Deformable registration and generative modelling of aortic anatomies by auto-decoders and neural ODEs.
CoRR
Riccardo Tenderini, Luca Pegolotti, Fanwei Kong, Stefano Pagani, Francesco Regazzoni, Alison L. Marsden, Simone Deparis
2025 J jnl
Hybrid physics-based and data-driven modeling of vascular bifurcation pressure differences.
Comput. Biol. Medicine
Natalia L. Rubio, Luca Pegolotti, Martin R. Pfaller, Eric F. Darve, Alison L. Marsden
2025 J jnl
Inferring Optical Tissue Properties from Photoplethysmography using Hybrid Amortized Inference.
CoRR
Jens Behrmann, Maria R. Cervera, Antoine Wehenkel, Andrew C. Miller, Albert Cerussi, Pranay Jain, Vivek Venugopal, Shijie Yan, Guillermo Sapiro, Luca Pegolotti, Jörn-Henrik Jacobsen
2025 J jnl
Red teaming ChatGPT in medicine to yield real-world insights on model behavior.
npj Digit. Medicine
Crystal T. Chang, Hodan Farah, Haiwen Gui, Shawheen Justin Rezaei, Charbel Bou-Khalil, Ye-Jean Park, Akshay Swaminathan, Jesutofunmi A. Omiye, Akaash Kolluri, Akash Chaurasia, Alejandro Lozano, Alice Heiman, Allison Sihan Jia, Amit Kaushal, Angela Jia, Angelica Iacovelli, Archer Yang, Arghavan Salles, Arpita Singhal, Balasubramanian Narasimhan, Benjamin Belai, Benjamin H. Jacobson, Binglan Li, Celeste H. Poe, Chandan Sanghera, Chenming Zheng, Conor Messer, Damien Varid Kettud, Deven Pandya, Dhamanpreet Kaur, Diana Hla, Diba Dindoust, Dominik Moehrle, Duncan Ross, Ellaine Chou, Eric Lin, Fateme Nateghi Haredasht, Ge Cheng, Irena Gao, Jacob Chang, Jake Silberg, Jason A. Fries, Jiapeng Xu, Joe Jamison, John S. Tamaresis, Jonathan H. Chen, Joshua Lazaro, Juan M. Banda, Julie J. Lee, Karen Ebert Matthys, Kirsten R. Steffner, Lu Tian, Luca Pegolotti, Malathi Srinivasan, Maniragav Manimaran, Matthew Schwede, Minghe Zhang, Minh Nguyen, Mohsen Fathzadeh, Qian Zhao, Rika Bajra, Rohit Khurana, Ruhana Azam, Rush Bartlett, Sang T. Truong, Scott L. Fleming, Shriti Raj, Solveig Behr, Sonia Onyeka, Sri Muppidi, Tarek Bandali, Tiffany Y. Eulalio, Wenyuan Chen, Xuanyu Zhou, Yanan Ding, Ying Cui, Yuqi Tan, Yutong Liu, Nigam Shah, Roxana Daneshjou
2024 — conf
A Novel LSTM and Graph Neural Networks Approach for Cardiovascular Simulations.
BHI
Angelica Iacovelli, Luca Pegolotti, Matteo Salvador, Edoardo Stoppa, Marco D. Santambrogio, Alison L. Marsden
2024 J jnl
Bayesian Windkessel calibration using optimized 0D surrogate models.
CoRR
Jakob Richter, Jonas Nitzler, Luca Pegolotti, Karthik Menon, Jonas Biehler, Wolfgang A. Wall, Daniele E. Schiavazzi, Alison L. Marsden, Martin R. Pfaller
2024 J jnl
Hybrid Physics-Based and Data-Driven Modeling of Vascular Bifurcation Pressure Differences.
CoRR
Natalia L. Rubio, Luca Pegolotti, Martin R. Pfaller, Eric F. Darve, Alison L. Marsden
2024 J jnl
Learning reduced-order models for cardiovascular simulations with graph neural networks.
Comput. Biol. Medicine
Luca Pegolotti, Martin R. Pfaller, Natalia L. Rubio, Ke Ding, Rita Brugarolas Brufau, Eric Darve, Alison L. Marsden
2024 J jnl
Leveraging Cardiovascular Simulations for In-Vivo Prediction of Cardiac Biomarkers.
CoRR
Laura Manduchi, Antoine Wehenkel, Jens Behrmann, Luca Pegolotti, Andy C. Miller, Ozan Sener, Marco Cuturi, Guillermo Sapiro, Jörn-Henrik Jacobsen
2023 J jnl
Learning Reduced-Order Models for Cardiovascular Simulations with Graph Neural Networks.
CoRR
Luca Pegolotti, Martin R. Pfaller, Natalia L. Rubio, Ke Ding, Rita Brugarolas Brufau, Eric Darve, Alison L. Marsden
2020 J jnl
Data driven approximation of parametrized PDEs by reduced basis and neural networks.
J. Comput. Phys.
Niccolò Dal Santo, Simone Deparis, Luca Pegolotti
2020 J jnl
Model order reduction of flow based on a modular geometrical approximation of blood vessels.
CoRR
Luca Pegolotti, Martin R. Pfaller, Alison L. Marsden, Simone Deparis
2019 J jnl
Data driven approximation of parametrized PDEs by Reduced Basis and Neural Networks.
CoRR
Niccolò Dal Santo, Simone Deparis, Luca Pegolotti
2018 J jnl
Coupling non-conforming discretizations of PDEs by spectral approximation of the Lagrange multiplier space.
CoRR
Simone Deparis, Luca Pegolotti