Get our free extension to see links to code for papers anywhere online!

Chrome logo  Add to Chrome

Firefox logo Add to Firefox

Picture for Thomas Yu

Thomas Yu

Signal Processing Laboratory 5

Slice estimation in diffusion MRI of neonatal and fetal brains in image and spherical harmonics domains using autoencoders


Aug 29, 2022
Hamza Kebiri, Gabriel Girard, Yasser Aleman-Gomez, Thomas Yu, Andras Jakab, Erick Jorge Canales-Rodriguez, Meritxell Bach Cuadra


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

The NLP Sandbox: an efficient model-to-data system to enable federated and unbiased evaluation of clinical NLP models


Jun 28, 2022
Yao Yan, Thomas Yu, Kathleen Muenzen, Sijia Liu, Connor Boyle, George Koslowski, Jiaxin Zheng, Nicholas Dobbins, Clement Essien, Hongfang Liu, Larsson Omberg, Meliha Yestigen, Bradley Taylor, James A Eddy, Justin Guinney, Sean Mooney, Thomas Schaffter


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Validation and Generalizability of Self-Supervised Image Reconstruction Methods for Undersampled MRI


Jan 29, 2022
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

* Submitted to Magnetic Resonance in Medicine 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

FaBiAN: A Fetal Brain magnetic resonance Acquisition Numerical phantom


Sep 06, 2021
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, Patric Hagmann, Andras Jakab, Vincent Dunet, Mériam Koob, Tobias Kober, Matthias Stuber, Meritxell Bach Cuadra

* 23 pages, 9 figures (including Supplementary Material), 4 tables, 1 supplement. Submitted to Scientific Reports (2021) 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification


Jul 05, 2021
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, Chiharu Sako, Russell T. Shinohara, Timothy Bergquist, Rong Chai, James Eddy, Julia Elliott, Walter Reade, Thomas Schaffter, Thomas Yu, Jiaxin Zheng, BraTS Annotators, Christos Davatzikos, John Mongan, Christopher Hess, Soonmee Cha, Javier Villanueva-Meyer, John B. Freymann, Justin S. Kirby, Benedikt Wiestler, Priscila Crivellaro, Rivka R. Colen, Aikaterini Kotrotsou, Daniel Marcus, Mikhail Milchenko, Arash Nazeri, Hassan Fathallah-Shaykh, Roland Wiest, Andras Jakab, Marc-Andre Weber, Abhishek Mahajan, Bjoern Menze, Adam E. Flanders, Spyridon Bakas

* 17 pages, 2 figures, 1 table 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Test-Time Adaptation for Super-Resolution: You Only Need to Overfit on a Few More Images


Apr 06, 2021
Mohammad Saeed Rad, Thomas Yu, Behzad Bozorgtabar, Jean-Philippe Thiran


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Benefitting from Bicubically Down-Sampled Images for Learning Real-World Image Super-Resolution


Jul 06, 2020
Mohammad Saeed Rad, Thomas Yu, Claudiu Musat, Hazim Kemal Ekenel, Behzad Bozorgtabar, Jean-Philippe Thiran


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email