Joint Frequency- and Image-Space Learning for Fourier Imaging. - Nalini M. Singh; Juan Eugenio Iglesias; Elfar Adalsteinsson; Adrian V. Dalca; Polina Golland (CoRR, 2020)

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; et al. (Neuroinformatics, 2022)

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 (MIDL, 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)

Deeper evaluation of a single-cell foundation model. - Rebecca Boiarsky; Nalini M. Singh; Alejandro Buendia; Ava P. Amini; Gad Getz; David A. Sontag (Nat. Mac. Intell., 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; et al. (NeuroImage, 2025)