Luca Pegolotti

According to our database, Luca Pegolotti authored at least 10 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Deformable registration and generative modelling of aortic anatomies by auto-decoders and neural ODEs.

Riccardo Tenderini, Luca Pegolotti, Fanwei Kong, Stefano Pagani, Francesco Regazzoni, Alison L. Marsden, Simone Deparis

CoRR, June, 2025

Red teaming ChatGPT in medicine to yield real-world insights on model behavior.

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

npj Digit. Medicine, 2025

Hybrid physics-based and data-driven modeling of vascular bifurcation pressure differences.

Natalia L. Rubio, Luca Pegolotti, Martin R. Pfaller, Eric F. Darve, Alison L. Marsden

Comput. Biol. Medicine, 2025

2024

Learning reduced-order models for cardiovascular simulations with graph neural networks.

Luca Pegolotti, Martin R. Pfaller, Natalia L. Rubio, Ke Ding, Rita Brugarolas Brufau, Eric Darve, Alison L. Marsden

Comput. Biol. Medicine, January, 2024

Leveraging Cardiovascular Simulations for In-Vivo Prediction of Cardiac Biomarkers.

Laura Manduchi, Antoine Wehenkel, Jens Behrmann, Luca Pegolotti, Andy C. Miller, Ozan Sener, Marco Cuturi, Guillermo Sapiro, Jörn-Henrik Jacobsen

CoRR, 2024

Bayesian Windkessel calibration using optimized 0D surrogate models.

Jakob Richter, Jonas Nitzler, Luca Pegolotti, Karthik Menon, Jonas Biehler, Wolfgang A. Wall, Daniele E. Schiavazzi, Alison L. Marsden, Martin R. Pfaller

CoRR, 2024

A Novel LSTM and Graph Neural Networks Approach for Cardiovascular Simulations.

Angelica Iacovelli, Luca Pegolotti, Matteo Salvador, Edoardo Stoppa, Marco D. Santambrogio, Alison L. Marsden

Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2024

2020

Data driven approximation of parametrized PDEs by reduced basis and neural networks.

Niccolò Dal Santo, Simone Deparis, Luca Pegolotti

J. Comput. Phys., 2020

Model order reduction of flow based on a modular geometrical approximation of blood vessels.

Luca Pegolotti, Martin R. Pfaller, Alison L. Marsden, Simone Deparis

CoRR, 2020

2018

Coupling non-conforming discretizations of PDEs by spectral approximation of the Lagrange multiplier space.

Simone Deparis, Luca Pegolotti

CoRR, 2018