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- Brown UniversityUS17 papers
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5 papers · 1 filter
Highly Undersampled MRI Reconstruction via a Single Posterior Sampling of Diffusion Models
Jin Liu, Qing Lin, Zhuang Xiong +7
Incoherent k-space undersampling and deep learning-based reconstruction methods have shown great success in accelerating MRI. However, the performance of most previous methods will…
Fourier-Based 3D Multistage Transformer for Aberration Correction in Multicellular Specimens
Thayer Alshaabi, Daniel E. Milkie, Gaoxiang Liu +17
High-resolution tissue imaging is often compromised by sample-induced optical aberrations that degrade resolution and contrast. While wavefront sensor-based adaptive optics (AO) ca…
Confidence Intervals for Performance Estimates in Brain MRI Segmentation
R. El Jurdi, G. Varoquaux, O. Colliot
Medical segmentation models are evaluated empirically. As such an evaluation is based on a limited set of example images, it is unavoidably noisy. Beyond a mean performance measure…
PhagoStat a scalable and interpretable end to end framework for efficient quantification of cell phagocytosis in neurodegenerative disease studies
Mehdi Ounissi, Morwena Latouche, Daniel Racoceanu
Quantifying the phagocytosis of dynamic, unstained cells is essential for evaluating neurodegenerative diseases. However, measuring rapid cell interactions and distinguishing cells…
A Hybrid Frequency-domain/Image-domain Deep Network for Magnetic Resonance Image Reconstruction
Roberto Souza, Richard Frayne
Decreasing magnetic resonance (MR) image acquisition times can potentially reduce procedural cost and make MR examinations more accessible. Compressed sensing (CS)-based image reco…