Nalini M. Singh

According to our database, Nalini M. Singh authored at least 5 papers between 2020 and 2024.

Collaborative distances:

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

2024

Deep-ER: Deep Learning ECCENTRIC Reconstruction for fast high-resolution neurometabolic imaging.

Paul Weiser, Georg Langs, Wolfgang Bogner, Stanislav Motyka, Bernhard Strasser, Polina Golland, Nalini M. Singh, Jorg Dietrich, Erik Uhlmann, Tracy Batchelor, Daniel Cahill, Malte Hoffmann, Antoine Klauser, Ovidiu C. Andronesi

CoRR, 2024

2023

UncertaINR: Uncertainty Quantification of End-to-End Implicit Neural Representations for Computed Tomography.

Francisca Vasconcelos, Bobby He, Nalini M. Singh, Yee Whye Teh

Trans. Mach. Learn. Res., 2023

Data Consistent Deep Rigid MRI Motion Correction.

Nalini M. Singh, Neel Dey, Malte Hoffmann, Bruce Fischl, Elfar Adalsteinsson, Robert Frost, Adrian V. Dalca, Polina Golland

Proceedings of the Medical Imaging with Deep Learning, 2023

2022

How Machine Learning is Powering Neuroimaging to Improve Brain Health.

Nalini M. Singh, Jordan B. Harrod, Sandya Subramanian, Mitchell B. Robinson, Ken Chang, Suheyla Cetin Karayumak, Adrian Vasile Dalca, Simon B. Eickhoff, Michael Fox, Loraine Franke, Polina Golland, Daniel Haehn, Juan Eugenio Iglesias, Lauren J. O'Donnell, Yangming Ou, Yogesh Rathi, Shan H. Siddiqi, Haoqi Sun, M. Brandon Westover, Susan L. Whitfield-Gabrieli, Randy L. Gollub

Neuroinformatics, 2022

2020

Joint Frequency- and Image-Space Learning for Fourier Imaging.

Nalini M. Singh, Juan Eugenio Iglesias, Elfar Adalsteinsson, Adrian V. Dalca, Polina Golland

CoRR, 2020