H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science D-index 54 Citations 12,433 149 World Ranking 2249 National Ranking 1214

Research.com Recognitions

Awards & Achievements

2019 - Fellow of the Indian National Academy of Engineering (INAE)

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Statistics
  • Computer vision

Sarang Joshi spends much of his time researching Artificial intelligence, Computer vision, Pattern recognition, Population and Image registration. Sarang Joshi studies Computational anatomy, a branch of Artificial intelligence. His study in the field of Segmentation, Respiratory motion and 3d image also crosses realms of Treatment plan.

Sarang Joshi combines subjects such as Visualization, Visual cortex and Atlas with his study of Pattern recognition. Sarang Joshi has included themes like Medical imaging, Image processing, Monte Carlo method, Radiation therapy and Dosimetry in his Image registration study. His Geometry research is multidisciplinary, incorporating perspectives in Boundary, Principal component analysis and Algebra.

His most cited work include:

  • Unbiased diffeomorphic atlas construction for computational anatomy. (708 citations)
  • Principal geodesic analysis for the study of nonlinear statistics of shape (621 citations)
  • Volumetric transformation of brain anatomy (460 citations)

What are the main themes of his work throughout his whole career to date?

His scientific interests lie mostly in Artificial intelligence, Computer vision, Image registration, Pattern recognition and Population. His study in Artificial intelligence is interdisciplinary in nature, drawing from both Diffeomorphism and Atlas. The concepts of his Computer vision study are interwoven with issues in Imaging phantom, Radiation therapy and Computed tomography.

Sarang Joshi has included themes like Radiation treatment planning, Fiducial marker and Medical imaging in his Image registration study. His Medical imaging research focuses on Nuclear medicine and how it connects with Magnetic resonance imaging. His biological study focuses on Active shape model.

He most often published in these fields:

  • Artificial intelligence (44.19%)
  • Computer vision (34.11%)
  • Image registration (18.99%)

What were the highlights of his more recent work (between 2012-2021)?

  • Artificial intelligence (44.19%)
  • Computer vision (34.11%)
  • Diffeomorphism (9.30%)

In recent papers he was focusing on the following fields of study:

His primary areas of study are Artificial intelligence, Computer vision, Diffeomorphism, Image registration and Metric. His Artificial intelligence study incorporates themes from Dimension, Focus and Pattern recognition. His work deals with themes such as Rotational invariance and Simple extension, which intersect with Pattern recognition.

His studies deal with areas such as Subspace topology, Radiation therapy and Computed tomography as well as Computer vision. His Image registration research incorporates elements of Radiation treatment planning and Feature. His Metric research is multidisciplinary, incorporating perspectives in Manifold, Distribution, Information geometry and Applied mathematics.

Between 2012 and 2021, his most popular works were:

  • Morphometry of anatomical shape complexes with dense deformations and sparse parameters. (153 citations)
  • Intrinsic Polynomials for Regression on Riemannian Manifolds (62 citations)
  • A vector momenta formulation of diffeomorphisms for improved geodesic regression and atlas construction (49 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Statistics
  • Computer vision

Sarang Joshi mostly deals with Diffeomorphism, Topology, Population, Euclidean geometry and Image registration. Sarang Joshi focuses mostly in the field of Diffeomorphism, narrowing it down to topics relating to Geodesic and, in certain cases, Shape analysis. His Topology study combines topics from a wide range of disciplines, such as Residual and Applied mathematics.

Population combines with fields such as Pattern recognition and Artificial intelligence in his investigation. His research investigates the connection between Pattern recognition and topics such as Human brain that intersect with issues in Neuroimaging. His research in Image registration intersects with topics in Fiducial marker, Projection, Motion analysis, Matching and Convolutional neural network.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Unbiased diffeomorphic atlas construction for computational anatomy.

S. Joshi;Brad Davis;Matthieu Jomier;Guido Gerig.
NeuroImage (2004)

972 Citations

Principal geodesic analysis for the study of nonlinear statistics of shape

P.T. Fletcher;Conglin Lu;S.M. Pizer;Sarang Joshi.
IEEE Transactions on Medical Imaging (2004)

841 Citations

Volumetric transformation of brain anatomy

G.E. Christensen;S.C. Joshi;M.I. Miller.
IEEE Transactions on Medical Imaging (1997)

671 Citations

Landmark matching via large deformation diffeomorphisms

S.C. Joshi;M.I. Miller.
IEEE Transactions on Image Processing (2000)

610 Citations

Hippocampal morphometry in schizophrenia by high dimensional brain mapping

John G. Csernansky;Sarang Joshi;Lei Wang;John W. Haller.
Proceedings of the National Academy of Sciences of the United States of America (1998)

536 Citations

Functional and structural mapping of human cerebral cortex: solutions are in the surfaces.

David C. Van Essen;Heather A. Drury;Sarang Joshi;Michael I. Miller.
Proceedings of the National Academy of Sciences of the United States of America (1998)

449 Citations

Deformable M-Reps for 3D Medical Image Segmentation

Stephen M. Pizer;P. Thomas Fletcher;Sarang Joshi;Andrew Thall.
International Journal of Computer Vision (2003)

431 Citations

Four-dimensional radiotherapy planning for DMLC-based respiratory motion tracking

Paul J. Keall;Sarang Joshi;S. Sastry Vedam;Jeffrey V. Siebers.
Medical Physics (2005)

396 Citations

Riemannian geometry for the statistical analysis of diffusion tensor data

P. Thomas Fletcher;Sarang Joshi.
Signal Processing (2007)

363 Citations

Principal Geodesic Analysis on Symmetric Spaces: Statistics of Diffusion Tensors

P. Thomas Fletcher;Sarang C. Joshi.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2004)

328 Citations

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Best Scientists Citing Sarang Joshi

Paul M. Thompson

Paul M. Thompson

University of Southern California

Publications: 165

Michael I. Miller

Michael I. Miller

Johns Hopkins University

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Dinggang Shen

Dinggang Shen

ShanghaiTech University

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Arthur W. Toga

Arthur W. Toga

University of Southern California

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Martin Styner

Martin Styner

University of North Carolina at Chapel Hill

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Guido Gerig

Guido Gerig

New York University

Publications: 111

Xavier Pennec

Xavier Pennec

French Institute for Research in Computer Science and Automation - INRIA

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Christos Davatzikos

Christos Davatzikos

University of Pennsylvania

Publications: 91

Lei Wang

Lei Wang

Northwestern University

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Laurent Younes

Laurent Younes

Johns Hopkins University

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Baba C. Vemuri

Baba C. Vemuri

University of Florida

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Daniel Rueckert

Daniel Rueckert

Technical University of Munich

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Stephen M. Pizer

Stephen M. Pizer

University of North Carolina at Chapel Hill

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John G. Csernansky

John G. Csernansky

Northwestern University

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Bruce Fischl

Bruce Fischl

Harvard University

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Anqi Qiu

Anqi Qiu

National University of Singapore

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