Andrew J. Plassard

1.7k citations

37 papers · 1.2k indexed · h-index 15

Radiology, Nuclear Medicine and Imaging top 5%
Computer Vision and Pattern Recognition top 5%
Neurology top 5%
Surgery
Immunology top 10%

Co-authors: Bennett A. Landman Daniel Fabbri Bruce J. Aronow Yuankai Huo Marc E. Rothenberg Thomas X. Lu John A. Besse Joseph D. Sherrill
Topics: Medical Image Segmentation Techniques (8 papers)Advanced MRI Techniques and Applications (6 papers)Advanced Neuroimaging Techniques and Applications (6 papers)
Cited by: Neurology Computer Vision and Pattern Recognition Rheumatology
Journals: Blood The Journal of Immunology PLoS ONE
Partner nations: United States Switzerland Brazil

In The Last Decade

Andrew J. Plassard

37 papers receiving 1.1k citations

Peers

Countries citing papers authored by Andrew J. Plassard

Since Specialization

Citations

This map shows the geographic impact of Andrew J. Plassard'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 Andrew J. Plassard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew J. Plassard more than expected).

Fields of papers citing papers by Andrew J. Plassard

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew J. Plassard. 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 Andrew J. Plassard. The network helps show where Andrew J. Plassard may publish in the future.

Co-authorship network of co-authors of Andrew J. Plassard

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew J. Plassard. A scholar is included among the top collaborators of Andrew J. Plassard 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 Andrew J. Plassard. Andrew J. Plassard 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	Automated, open-source segmentation of the Hippocampus and amygdala with the open Vanderbilt archive of the temporal lobe 2021 ·Magnetic Resonance Imaging ·Andrew J. Plassard,Shunxing Bao,Maureen McHugo,Lori L. Beason‐Held,Jennifer Urbano Blackford,Stephan Heckers,Bennett A. Landman	3
2	Multi-modal imaging with specialized sequences improves accuracy of the automated subcortical grey matter segmentation 2019 ·Magnetic Resonance Imaging ·Andrew J. Plassard,Shunxing Bao,(unknown),Srivatsan Pallavaram,Daniel O. Claassen,Benoît M. Dawant,Bennett A. Landman	4
3	Anatomical context improves deep learning on the brain age estimation task 2019 ·Magnetic Resonance Imaging ·Camilo Bermudez,Andrew J. Plassard,Shikha Chaganti,Yuankai Huo,Katherine S. Aboud,Laurie E. Cutting,Susan M. Resnick,Bennett A. Landman	26
4	Using deep learning for a diffusion-based segmentation of the dentate nucleus and its benefits over atlas-based methods 2019 ·Journal of Medical Imaging ·(unknown),Shunxing Bao,Kalen J. Petersen,Alexander M. Lopez,Jacqueline Reid,Andrew J. Plassard,David H. Zald,Daniel O. Claassen,Benoît M. Dawant,Bennett A. Landman	2
5	Fully convolutional neural networks improve abdominal organ segmentation 2018 ·PubMed ·Bennett A. Landman,(unknown),Yuankai Huo,(unknown),Shunxing Bao,John Virostko,Andrew J. Plassard,Ilwoo Lyu,Albert Assad,Richard G. Abramson,Melissa A. Hilmes	55
6	Splenomegaly segmentation using global convolutional kernels and conditional generative adversarial networks 2018 ·PubMed ·Yuankai Huo,Zhoubing Xu,Shunxing Bao,Camilo Bermudez,Andrew J. Plassard,(unknown),Jiaqi Liu,Albert Assad,Richard G. Abramson,Bennett A. Landman	40
7	Right Fronto-Subcortical White Matter Microstructure Predicts Cognitive Control Ability on the Go/No-go Task in a Community Sample 2018 ·Frontiers in Human Neuroscience ·(unknown),Benjamin B. Lahey,Victoria Villalta‐Gil,Brian D. Boyd,(unknown),(unknown),Andrew J. Plassard,Brooks Applegate,Neil D. Woodward,Bennett A. Landman,David H. Zald	10
8	Technology Enablers for Big Data, Multi-Stage Analysis in Medical Image Processing 2018 ·Scholarworks@UNIST (Ulsan National Institute of Science and Technology) ·Shunxing Bao,(unknown),Yuankai Huo,(unknown),Andrew J. Plassard,(unknown),Hongyang Sun,Ilwoo Lyu,David H. Zald,Bennett A. Landman,Aniruddha Gokhale	1
9	Comparison of Cortical and Subcortical Measurements in Normal Older Adults across Databases and Software Packages 2017 ·Journal of Alzheimer s Disease Reports ·Swati Rane,Andrew J. Plassard,Bennett A. Landman,Daniel O. Claassen,Manus J. Donahue,(unknown)	5
10	Tests of cortical parcellation based on white matter connectivity using diffusion tensor imaging 2017 ·NeuroImage ·Yurui Gao,Kurt G. Schilling,Iwona Stepniewska,Andrew J. Plassard,Ann S. Choe,Xia Li,Bennett A. Landman,Adam W. Anderson	12
11	Consistent cortical reconstruction and multi-atlas brain segmentation 2016 ·NeuroImage ·Yuankai Huo,Andrew J. Plassard,Aaron Carass,Susan M. Resnick,Dzung L. Pham,Jerry L. Prince,Bennett A. Landman	87
12	Multi-atlas learner fusion: An efficient segmentation approach for large-scale data 2015 ·Medical Image Analysis ·Andrew J. Asman,Yuankai Huo,Andrew J. Plassard,Bennett A. Landman	28
13	Revealing latent value of clinically acquired CTs of traumatic brain injury through multi-atlas segmentation in a retrospective study of 1,003 with external cross-validation 2015 ·Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE ·Andrew J. Plassard,Patrick D. Kelly,Andrew J. Asman,Hakmook Kang,Mayur B. Patel,Bennett A. Landman	4
14	Bootstrapping white matter segmentation, Eve++ 2015 ·Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE ·Andrew J. Plassard,(unknown),Vijay Venkatraman,C. González,Susan M. Resnick,Bennett A. Landman	7
15	Toward content-based image retrieval with deep convolutional neural networks 2015 ·Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE ·(unknown),Andrew J. Plassard,Daniel Fabbri,Bennett A. Landman	33
16	Constructing a statistical atlas of the radii of the optic nerve and cerebrospinal fluid sheath in young healthy adults 2015 ·Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE ·(unknown),Andrew J. Plassard,Louise A. Mawn,Robert L. Galloway,Seth A. Smith,Bennett A. Landman	7
17	Analysis and expansion of the eosinophilic esophagitis transcriptome by RNA sequencing 2014 ·Genes and Immunity ·Joseph D. Sherrill,(unknown),Carine Blanchard,Emily M. Stucke,Katherine A. Kemme,Margaret H. Collins,J. Pablo Abonia,Philip E. Putnam,Vincent A. Mukkada,Ajay Kaul,Samuel A. Kocoshis,Jonathan P. Kushner,Andrew J. Plassard,Rebekah Karns,Phillip J. Dexheimer,Bruce J. Aronow,Marc E. Rothenberg	124
18	A gene expression atlas of early craniofacial development 2014 ·Developmental Biology ·Eric W. Brunskill,Andrew Potter,(unknown),Phillip J. Dexheimer,Andrew J. Plassard,Bruce J. Aronow,S. Steven Potter	57
19	MicroRNA signature in patients with eosinophilic esophagitis, reversibility with glucocorticoids, and assessment as disease biomarkers 2012 ·Journal of Allergy and Clinical Immunology ·Thomas X. Lu,Joseph D. Sherrill,Ting Wen,Andrew J. Plassard,John A. Besse,J. Pablo Abonia,James P. Franciosi,Philip E. Putnam,Michael D. Eby,Lisa J. Martin,Bruce J. Aronow,Marc E. Rothenberg	121
20	MiR-375 is downregulated in epithelial cells after IL-13 stimulation and regulates an IL-13-induced epithelial transcriptome 2012 ·Mucosal Immunology ·Thomas X. Lu,(unknown),Ting Wen,Andrew J. Plassard,Simon P. Hogan,Lisa J. Martin,Bruce J. Aronow,Marc E. Rothenberg	58

About Andrew J. Plassard

Andrew J. Plassard is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Neurology, having authored 37 papers that have together received 1.2k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (8 papers), Advanced MRI Techniques and Applications (6 papers) and Advanced Neuroimaging Techniques and Applications (6 papers). The work is most often cited by research in Neurology (246 citations), Computer Vision and Pattern Recognition (267 citations) and Rheumatology (193 citations). Andrew J. Plassard has collaborated with scholars based in United States, Switzerland and Brazil. Frequent co-authors include Bennett A. Landman, Daniel Fabbri, Bruce J. Aronow, Yuankai Huo, Marc E. Rothenberg, Thomas X. Lu, John A. Besse, Joseph D. Sherrill, Ting Wen and Philip E. Putnam. Their work appears in journals such as Blood, The Journal of Immunology and PLoS ONE.

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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