Brent C. Munsell

3.1k total citations
31 papers, 1.2k citations indexed

About

Brent C. Munsell is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Brent C. Munsell has authored 31 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cognitive Neuroscience, 11 papers in Computer Vision and Pattern Recognition and 8 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Brent C. Munsell's work include Functional Brain Connectivity Studies (9 papers), Image Retrieval and Classification Techniques (7 papers) and Medical Image Segmentation Techniques (6 papers). Brent C. Munsell is often cited by papers focused on Functional Brain Connectivity Studies (9 papers), Image Retrieval and Classification Techniques (7 papers) and Medical Image Segmentation Techniques (6 papers). Brent C. Munsell collaborates with scholars based in United States, China and South Korea. Brent C. Munsell's co-authors include Dinggang Shen, Guorong Wu, Minjeong Kim, Qian Wang, Yue Gao, Yaozong Gao, Jun Zhang, Song Wang, Leonardo Bonilha and Daoqiang Zhang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, NeuroImage and Brain.

In The Last Decade

Brent C. Munsell

31 papers receiving 1.2k citations

Peers

Countries citing papers authored by Brent C. Munsell

Since Specialization

Citations

This map shows the geographic impact of Brent C. Munsell's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Brent C. Munsell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brent C. Munsell more than expected).

Fields of papers citing papers by Brent C. Munsell

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brent C. Munsell. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Brent C. Munsell. The network helps show where Brent C. Munsell may publish in the future.

Co-authorship network of co-authors of Brent C. Munsell

This figure shows the co-authorship network connecting the top 25 collaborators of Brent C. Munsell. A scholar is included among the top collaborators of Brent C. Munsell based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Brent C. Munsell. Brent C. Munsell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Seizure forecasting using machine learning models trained by seizure diaries 2022 ·Physiological Measurement ·Ezequiel Gleichgerrcht, (unknown), David A. Hartmann, Brent C. Munsell, Ruben Kuzniecky, Leonardo Bonilha, Reza Sameni	7
2	The White Matter Connectome as an Early Imaging Biomarker 2021 ·Biological Psychiatry ·John H. Gilmore, (unknown), (unknown), Rebecca Stephens, Emil Cornea, Martin Styner, Brent C. Munsell	1
3	Domain Transfer Learning for MCI Conversion Prediction 2020 ·UNC Libraries ·Dinggang Shen, Mingxia Liu, Brent C. Munsell, Bo Cheng, Daoqiang Zhang	2
4	Neural structures supporting spontaneous and assisted (entrained) speech fluency 2019 ·Brain ·Leonardo Bonilha, Argye E. Hillis, Janina Wilmskoetter, Gregory Hickok, Alexandra Basilakos, Brent C. Munsell, Chris Rorden, Julius Fridriksson	16
5	White matter connectomes at birth accurately predict cognitive abilities at age 2 2019 ·NeuroImage ·Jessica B. Girault, Brent C. Munsell, (unknown), (unknown), Juan Carlos Prieto, Martin Styner, John H. Gilmore	40
6	Identifying disease-related subnetwork connectome biomarkers by sparse hypergraph learning 2018 ·Brain Imaging and Behavior ·Chen Zu, Yue Gao, Brent C. Munsell, Minjeong Kim, Ziwen Peng, Jessica R. Cohen, Daoqiang Zhang, Guorong Wu	24
7	Multi-modal classification of neurodegenerative disease by progressive graph-based transductive learning 2017 ·Medical Image Analysis ·Zhengxia Wang, Xiaofeng Zhu, Ehsan Adeli, Yingying Zhu, Feiping Nie, Brent C. Munsell, Guorong Wu	51
8	Relationship between neuronal network architecture and naming performance in temporal lobe epilepsy: A connectome based approach using machine learning 2017 ·Brain and Language ·Brent C. Munsell, Guorong Wu, Julius Fridriksson, Kristina A. Thayer, (unknown), (unknown), Dinggang Shen, Leonardo Bonilha	17
9	Identifying High Order Brain Connectome Biomarkers via Learning on Hypergraph 2016 ·Lecture notes in computer science ·Chen Zu, Yue Gao, Brent C. Munsell, Minjeong Kim, Ziwen Peng, Yingying Zhu, Wei Gao, Daoqiang Zhang, Dinggang Shen, Guorong Wu	16
10	Identifying Relationships in Functional and Structural Connectome Data Using a Hypergraph Learning Method 2016 ·Lecture notes in computer science ·Brent C. Munsell, Guorong Wu, Yue Gao, (unknown), Martin Styner	6
11	Evaluation of machine learning algorithms for treatment outcome prediction in patients with epilepsy based on structural connectome data 2015 ·NeuroImage ·Brent C. Munsell, (unknown), Simon S. Keller, Bernd Weber, Christian E. Elger, (unknown), Travis Nesland, Martin Styner, Dinggang Shen, Leonardo Bonilha	109
12	Domain Transfer Learning for MCI Conversion Prediction 2015 ·IEEE Transactions on Biomedical Engineering ·Bo Cheng, Mingxia Liu, Daoqiang Zhang, Brent C. Munsell, Dinggang Shen	132
13	Hierarchical and symmetric infant image registration by robust longitudinal‐example‐guided correspondence detection 2015 ·Medical Physics ·Yao Wu, Guorong Wu, Li Wang, Brent C. Munsell, Qian Wang, Weili Lin, Qianjin Feng, Wufan Chen, Dinggang Shen	6
14	Hierarchical multi-atlas label fusion with multi-scale feature representation and label-specific patch partition 2014 ·NeuroImage ·Guorong Wu, Minjeong Kim, Gerard Sanromà, Qian Wang, Brent C. Munsell, Dinggang Shen	72
15	Pre-organizing Shape Instances for Landmark-Based Shape Correspondence 2011 ·International Journal of Computer Vision ·Brent C. Munsell, (unknown), Martin Styner, Song Wang	10
16	Two perceptually motivated strategies for shape classification 2010 ·(unknown), Brent C. Munsell, (unknown), Song Wang	50
17	Fast multiple shape correspondence by pre-organizing shape instances 2009 ·2009 IEEE Conference on Computer Vision and Pattern Recognition ·Brent C. Munsell, (unknown), Song Wang	13
18	Evaluating Shape Correspondence for Statistical Shape Analysis: A Benchmark Study 2008 ·IEEE Transactions on Pattern Analysis and Machine Intelligence ·Brent C. Munsell, (unknown), Song Wang	30
19	A New Benchmark for Shape Correspondence Evaluation 2007 ·Lecture notes in computer science ·Brent C. Munsell, (unknown), Song Wang	1
20	A Fast 3D Correspondence Method for Statistical Shape Modeling 2007 ·(unknown), Brent C. Munsell, Song Wang, Jijun Tang, (unknown), (unknown), Xiangrong Zhou, Hiroshi Fujita	25

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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