Search Results for author: Douglas N. Greve

Found 11 papers, 3 papers with code

Cortical analysis of heterogeneous clinical brain MRI scans for large-scale neuroimaging studies

no code implementations2 May 2023 Karthik Gopinath, Douglas N. Greve, Sudeshna Das, Steve Arnold, Colin Magdamo, Juan Eugenio Iglesias

Here we present the first method for cortical reconstruction, registration, parcellation, and thickness estimation for clinical brain MRI scans of any resolution and pulse sequence.

3D Reconstruction

Anatomy-aware and acquisition-agnostic joint registration with SynthMorph

no code implementations26 Jan 2023 Malte Hoffmann, Andrew Hoopes, Douglas N. Greve, Bruce Fischl, Adrian V. Dalca

Most affine methods are agnostic to anatomy, meaning the registration will be inaccurate if algorithms consider all structures in the image.

Affine Image Registration Anatomy +1

Learning the Effect of Registration Hyperparameters with HyperMorph

no code implementations30 Mar 2022 Andrew Hoopes, Malte Hoffmann, Douglas N. Greve, Bruce Fischl, John Guttag, Adrian V. Dalca

We design a meta network, or hypernetwork, that predicts the parameters of a registration network for input hyperparameters, thereby comprising a single model that generates the optimal deformation field corresponding to given hyperparameter values.

Image Registration

Interdigitated Columnar Representation of Personal Space and Visual Space in Human Parietal Cortex

no code implementations8 Nov 2021 Roger B. H. Tootell, Zahra Nasiriavanaki, Baktash Babadi, Douglas N. Greve, Shahin Nasr, Daphne J. Holt

In response to images of different visual stimuli across a range of virtual distances, we found two categories of distance encoding in functionally corresponding columns within parietal cortex.

PSACNN: Pulse Sequence Adaptive Fast Whole Brain Segmentation

no code implementations17 Jan 2019 Amod Jog, Andrew Hoopes, Douglas N. Greve, Koen van Leemput, Bruce Fischl

In this paper we propose a CNN-based segmentation algorithm that, in addition to being highly accurate and fast, is also resilient to variation in the input acquisition.

Brain Segmentation

A probabilistic atlas of the human thalamic nuclei combining ex vivo MRI and histology

no code implementations22 Jun 2018 Juan Eugenio Iglesias, Ricardo Insausti, Garikoitz Lerma-Usabiaga, Martina Bocchetta, Koen van Leemput, Douglas N. Greve, Andre van der Kouwe, Bruce Fischl, Cesar Caballero-Gaudes, Pedro M Paz-Alonso

In this study, we present a probabilistic atlas of the thalamic nuclei built using ex vivo brain MRI scans and histological data, as well as the application of the atlas to in vivo MRI segmentation.

Bayesian Inference Hippocampus +2

Kinetic Compressive Sensing

no code implementations27 Mar 2018 Michele Scipioni, Maria F. Santarelli, Luigi Landini, Ciprian Catana, Douglas N. Greve, Julie C. Price, Stefano Pedemonte

We evaluated the proposed algorithm on a simulated dynamic phantom: a bias/variance study confirmed how direct estimates can improve the quality of parametric maps over a post-reconstruction fitting, and showed how the novel sparsity prior can further reduce their variance, without affecting bias.

Compressive Sensing Time Series +1

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