S
Sayan Dev Pathak
Researcher at Allen Institute for Brain Science
Publications - 49
Citations - 7213
Sayan Dev Pathak is an academic researcher from Allen Institute for Brain Science. The author has contributed to research in topics: Prostate brachytherapy & Image segmentation. The author has an hindex of 22, co-authored 48 publications receiving 6388 citations. Previous affiliations of Sayan Dev Pathak include University of Washington.
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Journal ArticleDOI
Genome-wide atlas of gene expression in the adult mouse brain
Ed S. Lein,Michael Hawrylycz,Nancy Ao,Mikael Ayres,Amy Bensinger,Amy Bernard,Andrew F. Boe,Mark S. Boguski,Mark S. Boguski,Kevin S. Brockway,Emi J. Byrnes,Lin Chen,Li Chen,Tsuey-Ming Chen,Mei Chi Chin,Jimmy Chong,Brian E. Crook,Aneta Czaplinska,Chinh Dang,Suvro Datta,Nick Dee,Aimee L. Desaki,Tsega Desta,Ellen Diep,Tim A. Dolbeare,Matthew J. Donelan,Hong-Wei Dong,Jennifer G. Dougherty,Ben J. Duncan,Amanda Ebbert,Gregor Eichele,Lili K. Estin,Casey Faber,Benjamin A.C. Facer,Rick Fields,Shanna R. Fischer,Tim P. Fliss,Cliff Frensley,Sabrina N. Gates,Katie J. Glattfelder,Kevin R. Halverson,Matthew R. Hart,John G. Hohmann,Maureen P. Howell,Darren P. Jeung,Rebecca A. Johnson,Patrick T. Karr,Reena Kawal,Jolene Kidney,Rachel H. Knapik,Chihchau L. Kuan,James H. Lake,Annabel R. Laramee,Kirk D. Larsen,Christopher Lau,Tracy Lemon,Agnes J. Liang,Ying Liu,Lon T. Luong,Jesse Michaels,Judith J. Morgan,Rebecca J. Morgan,Marty Mortrud,Nerick Mosqueda,Lydia Ng,Randy Ng,Geralyn J. Orta,Caroline C. Overly,Tu H. Pak,Sheana Parry,Sayan Dev Pathak,Owen C. Pearson,Ralph B. Puchalski,Zackery L. Riley,Hannah R. Rockett,Stephen A. Rowland,Joshua J. Royall,Marcos J. Ruiz,Nadia R. Sarno,Katherine Schaffnit,Nadiya V. Shapovalova,Taz Sivisay,Clifford R. Slaughterbeck,Simon Smith,Kimberly A. Smith,Bryan I. Smith,Andy J. Sodt,Nick N. Stewart,Kenda-Ruth Stumpf,Susan M. Sunkin,Madhavi Sutram,Angelene Tam,Carey D. Teemer,Christina Thaller,Carol L. Thompson,Lee R. Varnam,Axel Visel,Axel Visel,Ray M. Whitlock,Paul Wohnoutka,Crissa K. Wolkey,Victoria Y. Wong,Matthew J.A. Wood,Murat B. Yaylaoglu,Rob Young,Brian L. Youngstrom,Xu Feng Yuan,Bin Zhang,Theresa A. Zwingman,Allan R. Jones +109 more
TL;DR: An anatomically comprehensive digital atlas containing the expression patterns of ∼20,000 genes in the adult mouse brain is described, providing an open, primary data resource for a wide variety of further studies concerning brain organization and function.
Journal ArticleDOI
Genomic anatomy of the hippocampus.
Carol L. Thompson,Sayan Dev Pathak,Andreas Jeromin,Lydia Ng,Cameron Ross MacPherson,Marty Mortrud,Allison Cusick,Zackery L. Riley,Susan M. Sunkin,Amy Bernard,Ralph B. Puchalski,Fred H. Gage,Allan R. Jones,Vladimir B. Bajic,Michael Hawrylycz,Ed S. Lein +15 more
TL;DR: Application of unbiased statistical component analyses to genome-scale hippocampal gene expression data revealed robust septotemporal molecular heterogeneity, leading to the identification of a large cohort of genes with robust regionalized hippocampal expression.
Journal ArticleDOI
An anatomic gene expression atlas of the adult mouse brain.
Lydia Ng,Amy Bernard,Chris Lau,Caroline C. Overly,Hong-Wei Dong,Chihchau Kuan,Sayan Dev Pathak,Susan M. Sunkin,Chinh Dang,Jason W. Bohland,Hemant Bokil,Partha P. Mitra,Luis Puelles,John G. Hohmann,David J. Anderson,Ed S. Lein,Allan R. Jones,Michael Hawrylycz +17 more
TL;DR: The Anatomic Gene Expression Atlas (AGEA) is a new relational atlas revealing the genetic architecture of the adult C57Bl/6J mouse brain based on spatial correlations across expression data for thousands of genes in the Allen Brain Atlas (ABA).
Journal ArticleDOI
Edge-guided boundary delineation in prostate ultrasound images
TL;DR: It is found that consistency in prostate delineation increases when automatically detected edges are used as visual guide during outlining, while the accuracy of the detected edges was found to be at least as good as those of the human observers.
Journal ArticleDOI
Parametric shape modeling using deformable superellipses for prostate segmentation
TL;DR: An efficient and robust Bayesian segmentation algorithm that was applied to 125 prostate ultrasound images collected from 16 patients and was shown to be fairly insensitive to the choice of the initial curve.