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Nalini M. Singh
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2020 – today
- 2024
- [i4]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:
Deep-ER: Deep Learning ECCENTRIC Reconstruction for fast high-resolution neurometabolic imaging. CoRR abs/2409.18303 (2024) - 2023
- [j2]Francisca Vasconcelos, Bobby He, Nalini M. Singh, Yee Whye Teh:
UncertaINR: Uncertainty Quantification of End-to-End Implicit Neural Representations for Computed Tomography. Trans. Mach. Learn. Res. 2023 (2023) - [c1]Nalini M. Singh, Neel Dey, Malte Hoffmann, Bruce Fischl, Elfar Adalsteinsson, Robert Frost, Adrian V. Dalca, Polina Golland:
Data Consistent Deep Rigid MRI Motion Correction. MIDL 2023: 368-381 - [i3]Nalini M. Singh, Neel Dey, Malte Hoffmann, Bruce Fischl, Elfar Adalsteinsson, Robert Frost, Adrian V. Dalca, Polina Golland:
Data Consistent Deep Rigid MRI Motion Correction. CoRR abs/2301.10365 (2023) - 2022
- [j1]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:
How Machine Learning is Powering Neuroimaging to Improve Brain Health. Neuroinformatics 20(4): 943-964 (2022) - [i2]Francisca Vasconcelos, Bobby He, Nalini M. Singh, Yee Whye Teh:
UncertaINR: Uncertainty Quantification of End-to-End Implicit Neural Representations for Computed Tomography. CoRR abs/2202.10847 (2022) - 2020
- [i1]Nalini M. Singh, Juan Eugenio Iglesias, Elfar Adalsteinsson, Adrian V. Dalca, Polina Golland:
Joint Frequency- and Image-Space Learning for Fourier Imaging. CoRR abs/2007.01441 (2020)
Coauthor Index
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