Towards computer-aided configuration design for the life cycle. - David W. Rosen; Bert Bras; Steven L. Hassenzahl; Patrick J. Newcomb; Thomas Yu (J. Intell. Manuf., 1996)

Scattered manifold-valued data approximation. - Philipp Grohs; Markus Sprecher; Thomas Yu (Numerische Mathematik, 2017)

Robust Biophysical Parameter Estimation with a Neural Network Enhanced Hamiltonian Markov Chain Monte Carlo Sampler. - Thomas Yu; Marco Pizzolato; Gabriel Girard; Jonathan Rafael-Patino; Erick Jorge Canales-Rodríguez; Jean-Philippe Thiran (IPMI, 2019)

Robust T2 Relaxometry With Hamiltonian MCMC for Myelin Water Fraction Estimation. - Thomas Yu; Marco Pizzolato; Erick Jorge Canales-Rodríguez; Jean-Philippe Thiran (ISBI, 2019)

Semantic workflows for benchmark challenges: Enhancing comparability, reusability and reproducibility. - Arunima Srivastava; Ravali Adusumilli; Hunter Boyce; Daniel Garijo; Varun Ratnakar; Rajiv Mayani; Thomas Yu; Raghu Machiraju; Yolanda Gil; Parag Mallick (PSB, 2019)

T2 Mapping from Super-Resolution-Reconstructed Clinical Fast Spin Echo Magnetic Resonance Acquisitions. - Hélène Lajous; Tom Hilbert; Christopher W. Roy; Sébastien Tourbier; Priscille de Dumast; Thomas Yu; Jean-Philippe Thiran; Jean-Baptiste Ledoux; Davide Piccini; Patric Hagmann; Reto Meuli; Tobias Kober; et al. (MICCAI (2), 2020)

Benefitting from Bicubically Down-Sampled Images for Learning Real-World Image Super-Resolution. - Mohammad Saeed Rad; Thomas Yu; Claudiu Musat; Hazim Kemal Ekenel; Behzad Bozorgtabar; Jean-Philippe Thiran (CoRR, 2020)

Piloting a model-to-data approach to enable predictive analytics in health care through patient mortality prediction. - Timothy Bergquist; Yao Yan; Thomas Schaffter; Thomas Yu; Vikas Pejaver; Noah Hammarlund; Justin Prosser; Justin Guinney; Sean D. Mooney (J. Am. Medical Informatics Assoc., 2020)

A Continuous Crowd-sourced Challenge for Benchmarking COVID-19 Health Outcome Prediction. - Yao Yan; Thomas Schaffter; Timothy Bergquist; Thomas Yu; Justin Prosser; Sean D. Mooney; Justin Guinney (AMIA, 2021)

Test-Time Adaptation for Super-Resolution: You Only Need to Overfit on a Few More Images. - Mohammad Saeed Rad; Thomas Yu; Behzad Bozorgtabar; Jean-Philippe Thiran (ICCVW, 2021)

Simulated Half-Fourier Acquisitions Single-shot Turbo Spin Echo (HASTE) of the Fetal Brain: Application to Super-Resolution Reconstruction. - Hélène Lajous; Tom Hilbert; Christopher W. Roy; Sébastien Tourbier; Priscille de Dumast; Yasser Alemán-Gómez; Thomas Yu; Hamza Kebiri; Jean-Baptiste Ledoux; Patric Hagmann; Reto Meuli; Vincent Dunet; et al. (UNSURE/PIPPI@MICCAI, 2021)

Benefiting from Bicubically Down-Sampled Images for Learning Real-World Image Super-Resolution. - Mohammad Saeed Rad; Thomas Yu; Claudiu Musat; Hazim Kemal Ekenel; Behzad Bozorgtabar; Jean-Philippe Thiran (WACV, 2021)

MPRAGE to MP2RAGE UNI translation via generative adversarial network improves the automatic tissue and lesion segmentation in multiple sclerosis patients. - Francesco La Rosa; Thomas Yu; Germán Barquero; Jean-Philippe Thiran; Cristina Granziera; Meritxell Bach Cuadra (Comput. Biol. Medicine, 2021)

The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification. - Ujjwal Baid; Satyam Ghodasara; Michel Bilello; Suyash Mohan; Evan Calabrese; Errol Colak; Keyvan Farahani; Jayashree Kalpathy-Cramer; Felipe C. Kitamura; Sarthak Pati; Luciano M. Prevedello; Jeffrey D. Rudie; et al. (CoRR, 2021)

FaBiAN: A Fetal Brain magnetic resonance Acquisition Numerical phantom. - Hélène Lajous; Christopher W. Roy; Tom Hilbert; Priscille de Dumast; Sébastien Tourbier; Yasser Alemán-Gómez; Jérôme Yerly; Thomas Yu; Hamza Kebiri; Kelly Payette; Jean-Baptiste Ledoux; Reto Meuli; et al. (CoRR, 2021)

Comparison of non-parametric T2 relaxometry methods for myelin water quantification. - Erick Jorge Canales-Rodríguez; Marco Pizzolato; Gian Franco Piredda; Tom Hilbert; Nicolas Kunz; Caroline Pot; Thomas Yu; Raymond Salvador; Edith Pomarol-Clotet; Tobias Kober; Jean-Philippe Thiran; Alessandro Daducci (Medical Image Anal., 2021)

Model-informed machine learning for multi-component T2 relaxometry. - Thomas Yu; Erick Jorge Canales-Rodríguez; Marco Pizzolato; Gian Franco Piredda; Tom Hilbert; Elda Fischi Gomez; Matthias Weigel; Muhamed Barakovic; Meritxell Bach Cuadra; Cristina Granziera; Tobias Kober; Jean-Philippe Thiran (Medical Image Anal., 2021)

Revisiting the T2 spectrum imaging inverse problem: Bayesian regularized non-negative least squares. - Erick Jorge Canales-Rodríguez; Marco Pizzolato; Thomas Yu; Gian Franco Piredda; Tom Hilbert; Joaquim Radua; Tobias Kober; Jean-Philippe Thiran (NeuroImage, 2021)

Tractography dissection variability: What happens when 42 groups dissect 14 white matter bundles on the same dataset? - Kurt G. Schilling; François Rheault; Laurent Petit; Colin B. Hansen; Vishwesh Nath; Fang-Cheng Yeh; Gabriel Girard; Muhamed Barakovic; Jonathan Rafael-Patino; Thomas Yu; Elda Fischi Gomez; Marco Pizzolato; et al. (NeuroImage, 2021)

Slice Estimation in Diffusion MRI of Neonatal and Fetal Brains in Image and Spherical Harmonics Domains Using Autoencoders. - Hamza Kebiri; Gabriel Girard; Yasser Alemán-Gómez; Thomas Yu; András Jakab; Erick Jorge Canales-Rodríguez; Meritxell Bach Cuadra (CDMRI@MICCAI, 2022)

Validation and Generalizability of Self-Supervised Image Reconstruction Methods for Undersampled MRI. - Thomas Yu; Tom Hilbert; Gian Franco Piredda; Arun Joseph; Gabriele Bonanno; Salim Zenkhri; Patrick Omoumi; Meritxell Bach Cuadra; Erick Jorge Canales-Rodríguez; Tobias Kober; Jean-Philippe Thiran (CoRR, 2022)

The NLP Sandbox: an efficient model-to-data system to enable federated and unbiased evaluation of clinical NLP models. - Yao Yan; Thomas Yu; Kathleen Muenzen; Sijia Liu 002; Connor Boyle; George Koslowski; Jiaxin Zheng; Nicholas J. Dobbins; Clement Essien; Hongfang Liu; Larsson Omberg; Meliha Yestigen; et al. (CoRR, 2022)

Insights from the IronTract challenge: Optimal methods for mapping brain pathways from multi-shell diffusion MRI. - Chiara Maffei; Gabriel Girard; Kurt G. Schilling; Dogu Baran Aydogan; Nagesh Adluru; Andrey Zhylka; Ye Wu 001; Matteo Mancini; Andac Hamamci; Alessia Sarica; Achille Teillac; Steven H. Baete; et al. (NeuroImage, 2022)

The Brain Tumor Segmentation (BraTS) Challenge 2023: Brain MR Image Synthesis for Tumor Segmentation (BraSyn). - Hongwei Bran Li; Gian Marco Conte; Syed Muhammad Anwar; Florian Kofler; Koen Van Leemput; Marie Piraud; Ivan Ezhov; Felix Meissen; Maruf Adewole; Anastasia Janas; Anahita Fathi Kazerooni; Dominic LaBella; et al. (CoRR, 2023)

The Average Rate of Convergence of the Exact Line Search Gradient Descent Method. - Thomas Yu (CoRR, 2023)

Evaluation of crowdsourced mortality prediction models as a framework for assessing artificial intelligence in medicine. - Timothy Bergquist; Thomas Schaffter; Yao Yan; Thomas Yu; Justin Prosser; Jifan Gao; Guanhua Chen 002; Lukasz Charzewski; Zofia Nawalany; Ivan Brugere; Renata Retkute; Alidivinas Prusokas; et al. (J. Am. Medical Informatics Assoc., 2023)

In-Silico Trained AI for Enhanced T2 Spectrum Imaging and Myelin Water Fraction Mapping in Preclinical 7T MRI. - Daniel Vallejo-Aldana; Alonso Ramirez-Manzanares; Erick Jorge Canales-Rodríguez; Thomas Yu; Abraham Cisneros-Mejorado; Luis Concha; Jonathan Rafael-Patino; Jean-Philippe Thiran (ISBI, 2024)