Methods for cerebellar imaging: cerebellar subdivision

Self-supervised learning with application for infant cerebellum segmentation and analysis

(2023) Yue Sun et al.   Nature Communications

Evaluating brain parcellations using the distance‐controlled boundary coefficient

(2022) Da Zhi et al.   HUMAN BRAIN MAPPING

CerebNet: A fast and reliable deep-learning pipeline for detailed cerebellum sub-segmentation

(2022) Jennifer Faber et al.   NEUROIMAGE

Replicability, Repeatability, and Long-term Reproducibility of Cerebellar Morphometry

(2021) Peter Sörös et al.   CEREBELLUM

Functional Gradients of the Cerebellum: a Review of Practical Applications

(2021) Xavier Guell   CEREBELLUM

Consensus Paper: Cerebellum and Social Cognition

(2020) Frank Van Overwalle et al.   CEREBELLUM

FastSurfer - A fast and accurate deep learning based neuroimaging pipeline

(2020) Leonie Henschel et al.   NEUROIMAGE

Automatic cerebellum anatomical parcellation using U-Net with locally constrained optimization

(2020) Shuo Han et al.   NEUROIMAGE

Infant FreeSurfer: An automated segmentation and surface extraction pipeline for T1-weighted neuroimaging data of infants 0–2 years

(2020) Lilla Zöllei et al.   NEUROIMAGE

The Detailed Organization of the Human Cerebellum Estimated by Intrinsic Functional Connectivity Within the Individual

(2020) Aihuiping Xue et al.   JOURNAL OF NEUROPHYSIOLOGY

Functional boundaries in the human cerebellum revealed by a multi-domain task battery

(2019) Maedbh King et al.   NATURE NEUROSCIENCE

A connectivity-based parcellation improved functional representation of the human cerebellum

(2019) Yudan Ren et al.   Scientific Reports

The UNC/UMN Baby Connectome Project (BCP): An overview of the study design and protocol development

(2018) Brittany R. Howell et al.   NEUROIMAGE

Comparing fully automated state-of-the-art cerebellum parcellation from magnetic resonance images

(2018) Aaron Carass et al.   NEUROIMAGE

A representative template of the neonatal cerebellum

(2018) Carlos R. Hernandez-Castillo et al.   NEUROIMAGE

Spatial and Temporal Organization of the Individual Human Cerebellum

(2018) Scott Marek et al.   NEURON

CERES: A new cerebellum lobule segmentation method

(2017) Jose E. Romero et al.   NEUROIMAGE

Redefining the cerebellar cortex as an assembly of non-uniform Purkinje cell microcircuits

(2015) Nadia L. Cerminara et al.   NATURE REVIEWS NEUROSCIENCE

Rapid automatic segmentation of the human cerebellum and its lobules (RASCAL)-Implementation and application of the patch-based label-fusion technique with a template library to segment the human cerebellum

(2014) Katrin Weier et al.   HUMAN BRAIN MAPPING

Derivation of high-resolution MRI atlases of the human cerebellum at 3T and segmentation using multiple automatically generated templates

(2014) Min Tae M. Park et al.   NEUROIMAGE

Automated MRI cerebellar size measurements using active appearance modeling

(2014) Mathew Price et al.   NEUROIMAGE

A multiple object geometric deformable model for image segmentation

(2012) John A. Bogovic et al.   COMPUTER VISION AND IMAGE UNDERSTANDING

Performing label-fusion-based segmentation using multiple automatically generated templates

(2012) M. Mallar Chakravarty et al.   HUMAN BRAIN MAPPING

Consensus Paper: Roles of the Cerebellum in Motor Control—The Diversity of Ideas on Cerebellar Involvement in Movement

(2011) Mario Manto et al.   CEREBELLUM

The organization of the human cerebellum estimated by intrinsic functional connectivity

(2011) Randy L. Buckner et al.   JOURNAL OF NEUROPHYSIOLOGY

One Century of Brain Mapping Using Brodmann Areas*

(2009) Michael Strotzer   CLINICAL NEURORADIOLOGY

A probabilistic MR atlas of the human cerebellum

(2009) Jörn Diedrichsen et al.   NEUROIMAGE

Normalized Cut Group Clustering of Resting-State fMRI Data

(2008) Martijn van den Heuvel et al.   PLoS One

Registration and machine learning-based automated segmentation of subcortical and cerebellar brain structures

(2007) Stephanie Powell et al.   NEUROIMAGE