On learning adaptive acquisition policies for undersampled multi-coil MRI reconstruction
Tim Bakker, Matthew Muckley, Adriana Romero, Michal Drozdzal, Luis Pineda
People
Research Scientist
I am a Research Scientist in Meta AI Research (FAIR). Previously, I was a post-doctoral researcher at Montreal Institute for Learning Algorithms, advised by Prof. Yoshua Bengio. My postdoctoral research revolved around deep learning techniques to tackle biomedical challenges, such as the ones posed by imaging multi-modality, high dimensional data and graph structured data. I received my PhD from the University of Barcelona in 2015. My thesis was on assisting the training of deep neural networks with applications to computer vision, advised by Dr. Carlo Gatta. My PhD included contributions in the fields of representation learning and model compression, with applications to image classification, image segmentation and remote sensing.
Deep learning, computer vision, graphs, multi-modality, and medical imaging
Tim Bakker, Matthew Muckley, Adriana Romero, Michal Drozdzal, Luis Pineda
Jure Zbontar, Florian Knoll, Anuroop Sriram, Tullie Murrell, Zhengnan Huang, Matthew J. Muckley, Aaron Defazio, Ruben Stern, Patricia Johnson, Mary Bruno, Marc Parente, Krzysztof J. Geras, Joe Katsnelson, Hersh Chandarana, Zizhao Zhang, Michal Drozdzal, Adriana Romero, Mike Rabbat, Pascal Vincent, Nafissa Yakubova, James Pinkerton, Duo Wang, Erich Owens, Larry Zitnick, Michael P. Recht, Daniel K. Sodickson, Yvonne W. Lui
Luis Pineda, Sumana Basu, Adriana Romero, Roberto Calandra, Michal Drozdzal
Edward J. Smith, Roberto Calandra, Adriana Romero, Georgia Gkioxari, David Meger, Jitendra Malik, Michal Drozdzal
Edward J. Smith, Scott Fujimoto, Adriana Romero, David Meger
Zizhao Zhang, Adriana Romero, Matthew J. Muckley, Pascal Vincent, Lin Yang, Michal Drozdzal