-
"A Wasserstein-Type Distance for Gaussian Mixtures on Vector Bundles with Applications to Shape Analysis"
2024 ▪
SIAM Journal on Imaging Sciences
-
"PERFORMANCE EVALUATION OF ELECTRIC BUSES & ADAPTATION IN INDIAN MARKET"
2024 ▪
International Research Journal of Modernization in Engineering Technology and Science
-
"Shape-Graph Matching Network (SGM-net): Registration for Statistical Shape Analysis"
2024 ▪
Anuj Srivastava;
S. Sarkar;
Shenyuan Liang;
Mauricio Pamplona Segundo;
Sathyanarayanan N. Aakur;
-
"Rejoinder on: Shape-based functional data analysis"
2024 ▪
Test
-
"Statistical Analysis of Complex Shape Graphs"
2024 ▪
IEEE Transactions on Pattern Analysis and Machine Intelligence
-
"Longitudinal Elastic Shape Analysis of Brain Subcortical Structures"
2023 ▪
Alzheimer s & Dementia
Anuj Srivastava;
Zhengwu Zhang;
Hongtu Zhu;
Yuexuan Wu;
Kwun Chuen Gary Chan;
Dean Shibata;
Walter A. Kukull;
-
"Shape-based functional data analysis"
2023 ▪
Test
-
"Supplementary Table 3 from Cancer Stem Cells, not Bulk Tumor Cells, Determine Mechanisms of Resistance to SMO Inhibitors"
2023 ▪
Anuj Srivastava;
Jeffrey H. Chuang;
Joshy George;
Yaohui Chen;
Nourhan Abdelfattah;
Keiko Yamamoto;
Thomas D. Gallup;
Scott I. Adamson;
Brad Rybinski;
Parveen Kumar;
Min Gyu Lee;
David S. Baskin;
Wen Jiang;
Jong Min Choi;
William Flavahan;
Betty Y.S. Kim;
Jiaqiong Xu;
Sung Yun Jung;
Kyuson Yun;
-
"Supplementary Table 3 from Cancer Stem Cells, not Bulk Tumor Cells, Determine Mechanisms of Resistance to SMO Inhibitors"
2023 ▪
Anuj Srivastava;
Jeffrey H. Chuang;
Joshy George;
Yaohui Chen;
Nourhan Abdelfattah;
Keiko Yamamoto;
Thomas D. Gallup;
Scott I. Adamson;
Brad Rybinski;
Parveen Kumar;
Min Gyu Lee;
David S. Baskin;
Wen Jiang;
Jong Min Choi;
William Flavahan;
Betty Y.S. Kim;
Jiaqiong Xu;
Sung Yun Jung;
Kyuson Yun;
-
"Supplementary Table 4 from Cancer Stem Cells, not Bulk Tumor Cells, Determine Mechanisms of Resistance to SMO Inhibitors"
2023 ▪
Anuj Srivastava;
Jeffrey H. Chuang;
Joshy George;
Yaohui Chen;
Nourhan Abdelfattah;
Keiko Yamamoto;
Thomas D. Gallup;
Scott I. Adamson;
Brad Rybinski;
Parveen Kumar;
Min Gyu Lee;
David S. Baskin;
Wen Jiang;
Jong Min Choi;
William Flavahan;
Betty Y.S. Kim;
Jiaqiong Xu;
Sung Yun Jung;
Kyuson Yun;
-
"Supplementary Table 4 from Cancer Stem Cells, not Bulk Tumor Cells, Determine Mechanisms of Resistance to SMO Inhibitors"
2023 ▪
Anuj Srivastava;
Jeffrey H. Chuang;
Joshy George;
Yaohui Chen;
Nourhan Abdelfattah;
Keiko Yamamoto;
Thomas D. Gallup;
Scott I. Adamson;
Brad Rybinski;
Parveen Kumar;
Min Gyu Lee;
David S. Baskin;
Wen Jiang;
Jong Min Choi;
William Flavahan;
Betty Y.S. Kim;
Jiaqiong Xu;
Sung Yun Jung;
Kyuson Yun;
-
"Supplementary Table 5 from Cancer Stem Cells, not Bulk Tumor Cells, Determine Mechanisms of Resistance to SMO Inhibitors"
2023 ▪
Anuj Srivastava;
Jeffrey H. Chuang;
Joshy George;
Yaohui Chen;
Nourhan Abdelfattah;
Keiko Yamamoto;
Thomas D. Gallup;
Scott I. Adamson;
Brad Rybinski;
Parveen Kumar;
Min Gyu Lee;
David S. Baskin;
Wen Jiang;
Jong Min Choi;
William Flavahan;
Betty Y.S. Kim;
Jiaqiong Xu;
Sung Yun Jung;
Kyuson Yun;
-
"Supplementary Table 5 from Cancer Stem Cells, not Bulk Tumor Cells, Determine Mechanisms of Resistance to SMO Inhibitors"
2023 ▪
Anuj Srivastava;
Jeffrey H. Chuang;
Joshy George;
Yaohui Chen;
Nourhan Abdelfattah;
Keiko Yamamoto;
Thomas D. Gallup;
Scott I. Adamson;
Brad Rybinski;
Parveen Kumar;
Min Gyu Lee;
David S. Baskin;
Wen Jiang;
Jong Min Choi;
William Flavahan;
Betty Y.S. Kim;
Jiaqiong Xu;
Sung Yun Jung;
Kyuson Yun;
-
"Supplementary Table 6 from Cancer Stem Cells, not Bulk Tumor Cells, Determine Mechanisms of Resistance to SMO Inhibitors"
2023 ▪
Anuj Srivastava;
Jeffrey H. Chuang;
Joshy George;
Yaohui Chen;
Nourhan Abdelfattah;
Keiko Yamamoto;
Thomas D. Gallup;
Scott I. Adamson;
Brad Rybinski;
Parveen Kumar;
Min Gyu Lee;
David S. Baskin;
Wen Jiang;
Jong Min Choi;
William Flavahan;
Betty Y.S. Kim;
Jiaqiong Xu;
Sung Yun Jung;
Kyuson Yun;
-
"Supplementary Table 6 from Cancer Stem Cells, not Bulk Tumor Cells, Determine Mechanisms of Resistance to SMO Inhibitors"
2023 ▪
Anuj Srivastava;
Jeffrey H. Chuang;
Joshy George;
Yaohui Chen;
Nourhan Abdelfattah;
Keiko Yamamoto;
Thomas D. Gallup;
Scott I. Adamson;
Brad Rybinski;
Parveen Kumar;
Min Gyu Lee;
David S. Baskin;
Wen Jiang;
Jong Min Choi;
William Flavahan;
Betty Y.S. Kim;
Jiaqiong Xu;
Sung Yun Jung;
Kyuson Yun;
-
"Supplementary Table 7 from Cancer Stem Cells, not Bulk Tumor Cells, Determine Mechanisms of Resistance to SMO Inhibitors"
2023 ▪
Anuj Srivastava;
Jeffrey H. Chuang;
Joshy George;
Yaohui Chen;
Nourhan Abdelfattah;
Keiko Yamamoto;
Thomas D. Gallup;
Scott I. Adamson;
Brad Rybinski;
Parveen Kumar;
Min Gyu Lee;
David S. Baskin;
Wen Jiang;
Jong Min Choi;
William Flavahan;
Betty Y.S. Kim;
Jiaqiong Xu;
Sung Yun Jung;
Kyuson Yun;
-
"Supplementary Table 7 from Cancer Stem Cells, not Bulk Tumor Cells, Determine Mechanisms of Resistance to SMO Inhibitors"
2023 ▪
Anuj Srivastava;
Jeffrey H. Chuang;
Joshy George;
Yaohui Chen;
Nourhan Abdelfattah;
Keiko Yamamoto;
Thomas D. Gallup;
Scott I. Adamson;
Brad Rybinski;
Parveen Kumar;
Min Gyu Lee;
David S. Baskin;
Wen Jiang;
Jong Min Choi;
William Flavahan;
Betty Y.S. Kim;
Jiaqiong Xu;
Sung Yun Jung;
Kyuson Yun;
-
"Supplementary Table 8 from Cancer Stem Cells, not Bulk Tumor Cells, Determine Mechanisms of Resistance to SMO Inhibitors"
2023 ▪
Anuj Srivastava;
Jeffrey H. Chuang;
Joshy George;
Yaohui Chen;
Nourhan Abdelfattah;
Keiko Yamamoto;
Thomas D. Gallup;
Scott I. Adamson;
Brad Rybinski;
Parveen Kumar;
Min Gyu Lee;
David S. Baskin;
Wen Jiang;
Jong Min Choi;
William Flavahan;
Betty Y.S. Kim;
Jiaqiong Xu;
Sung Yun Jung;
Kyuson Yun;
-
"Supplementary Table 8 from Cancer Stem Cells, not Bulk Tumor Cells, Determine Mechanisms of Resistance to SMO Inhibitors"
2023 ▪
Anuj Srivastava;
Jeffrey H. Chuang;
Joshy George;
Yaohui Chen;
Nourhan Abdelfattah;
Keiko Yamamoto;
Thomas D. Gallup;
Scott I. Adamson;
Brad Rybinski;
Parveen Kumar;
Min Gyu Lee;
David S. Baskin;
Wen Jiang;
Jong Min Choi;
William Flavahan;
Betty Y.S. Kim;
Jiaqiong Xu;
Sung Yun Jung;
Kyuson Yun;
-
"Supplementary Table 9 from Cancer Stem Cells, not Bulk Tumor Cells, Determine Mechanisms of Resistance to SMO Inhibitors"
2023 ▪
Anuj Srivastava;
Jeffrey H. Chuang;
Joshy George;
Yaohui Chen;
Nourhan Abdelfattah;
Keiko Yamamoto;
Thomas D. Gallup;
Scott I. Adamson;
Brad Rybinski;
Parveen Kumar;
Min Gyu Lee;
David S. Baskin;
Wen Jiang;
Jong Min Choi;
William Flavahan;
Betty Y.S. Kim;
Jiaqiong Xu;
Sung Yun Jung;
Kyuson Yun;
-
"Supplementary Table 9 from Cancer Stem Cells, not Bulk Tumor Cells, Determine Mechanisms of Resistance to SMO Inhibitors"
2023 ▪
Anuj Srivastava;
Jeffrey H. Chuang;
Joshy George;
Yaohui Chen;
Nourhan Abdelfattah;
Keiko Yamamoto;
Thomas D. Gallup;
Scott I. Adamson;
Brad Rybinski;
Parveen Kumar;
Min Gyu Lee;
David S. Baskin;
Wen Jiang;
Jong Min Choi;
William Flavahan;
Betty Y.S. Kim;
Jiaqiong Xu;
Sung Yun Jung;
Kyuson Yun;
-
"Antenatal care is associated with adherence to iron supplementation among pregnant women in selected low?middle?income?countries of Asia, Africa, and Latin America & the Caribbean regions: Insights from Demographic and Health Surveys"
2023 ▪
Maternal and Child Nutrition
Anuj Srivastava;
Elvina Karyadi;
J. C. Reddy;
Kirk A. Dearden;
Tutut Purwanti;
None Mardewi;
Eriana Asri;
Loreto B. Roquero;
Jocelyn A. Juguan;
Angelita Sapitula?Evidente;
Binu Anand;
Kirti Warvadekar;
Anjali Bhardwaj;
Md. K. Alam;
Susmita Das;
Gopa K. Nair;
Manoj K. Raut;
-
"Rejoinder: LESA: Longitudinal Elastic Shape Analysis of Brain Subcortical Structures"
2023 ▪
Journal of the American Statistical Association
Anuj Srivastava;
Joseph Ibrahim;
Zhengwu Zhang;
Hongtu Zhu;
Yuexuan Wu;
Di Xiong;
-
"Contributors"
2023 ▪
Elsevier eBooks
Anuj Srivastava;
Gerardo Chowell;
Manuel A. Acuña-Zegarra;
Alma Y. Alanis;
Francisco Aleman;
Guillermo de Anda-Jáuregui;
Sofia Bernal-Silva;
Pablo Castañeda;
Alexandre Colato;
Andreu Comas-García;
Ruth Corona-Moreno;
Agustina D’Jorge;
Liliana Durán-Polanco;
Philip J. Gerrish;
Alejandro H. González;
Abba B. Gumel;
Shuai Han;
Mauricio Hernández-Ávila;
Enrique Hernández-Lemus;
Esteban A. Hernandez-Vargas;
Yin Jiang;
Gabriel Martinez-Soltero;
Ramsés H. Mena;
Rafael Meza;
Calistus N. Ngonghala;
Mayra Núñez-López;
T.Y. Okosun;
Ryosuke Omori;
Gamaliel A. Palomo-Briones;
Nancy F. Ramirez;
Daniel Ríos-Rivera;
Carlos E. Rodríguez;
Erika E. Rodriguez Torres;
Fernando Saldaña;
Ignacio J. Sánchez;
Mario Santana-Cibrian;
Mario Siller;
Sarah Skolnick;
Horst Stoecker;
Mayra R. Tocto-Erazo;
Angélica Torres-Díaz;
Jorge X. Velasco-Hernández;
Lingxiao Wang;
Rodrigo Zepeda-Tello;
Kai Zhou;
-
"Elastic Shape Analysis of Tree-like 3D Objects using Extended SRVF Representation"
2023 ▪
IEEE Transactions on Pattern Analysis and Machine Intelligence
-
"On spatial heterogeneity of COVID-19 using shape analysis of pandemic curves?"
2023 ▪
Elsevier eBooks
-
"TADBay: A Bayesian Construction of Topologically Associated Domains"
2022 ▪
2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
-
"Elastic shape analysis of brain structures for predictive modeling of PTSD"
2022 ▪
Frontiers in Neuroscience
-
"Characterizing Cell Shape Distributions Using k-Mode Kernel Mixtures"
2022 ▪
2022 26th International Conference on Pattern Recognition (ICPR)
Anuj Srivastava;
Ximu Deng;
Rituparna Sarkar;
Elisabeth Labruyere;
Jean-Christophe Olivo-Marin;
-
"LESA: Longitudinal Elastic Shape Analysis of Brain Subcortical Structures"
2022 ▪
Journal of the American Statistical Association
Anuj Srivastava;
Joseph Ibrahim;
Zhengwu Zhang;
Hongtu Zhu;
Yuexuan Wu;
Di Xiong;
-
"Statistical shape analysis of brain arterial networks (BAN)"
2022 ▪
The Annals of Applied Statistics
-
"4D Atlas: Statistical Analysis of the Spatiotemporal Variability in Longitudinal 3D Shape Data"
2022 ▪
IEEE Transactions on Pattern Analysis and Machine Intelligence
Anuj Srivastava;
Sebastian Kurtek;
I H Jermyn;
Hamid Laga;
Marcel Padilla;
Mohammed Bennamoun;
-
"Characterizing Cell Populations Using Statistical Shape Modes"
2022 ▪
2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI)
Anuj Srivastava;
Ximu Deng;
Rituparna Sarkar;
Elisabeth Labruyere;
Jean-Christophe Olivo-Marin;
-
"Realistic-Shape Bacterial Biofilm Simulator for Deep Learning-Based 3D Single-Cell Segmentation"
2022 ▪
2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI)
Anuj Srivastava;
Yuexuan Wu;
Tanjin Taher Toma;
Jie Wang;
Andreas Gahlmann;
Scott T. Acton;
-
"An investigation of spatial-temporal patterns and predictions of the coronavirus 2019 pandemic in Colombia, 2020–2021"
2022 ▪
PLoS neglected tropical diseases
Anuj Srivastava;
Amna Tariq;
Juan M. Banda;
Pavel Skums;
Sushma Dahal;
Alexander Kirpich;
Ruiyan Luo;
Gerardo Chowell;
Tsira Chakhaia;
Alexander Ewing;
Xinyi Hua;
Sylvia K. Ofori;
Olaseni Prince;
Argita D. Salindri;
Ayotomiwa Ezekiel Adeniyi;
Leidy Y. Lara-Díaz;
Raimund Bürger;
Isaac Chun-Hai Fung;
Eunha Shim;
-
"Data Science for Motion and Time Analysis with Modern Motion Sensor Data"
2022 ▪
Operations Research
-
"Bayesian Tracking of Video Graphs Using Joint Kalman Smoothing and Registration"
2022 ▪
Lecture notes in computer science
Anuj Srivastava;
S. Sarkar;
Aditi Basu Bal;
Sathyanarayanan N. Aakur;
Ramy Mounir;
-
"LESA: Longitudinal Elastic Shape Analysis of Brain Subcortical Structures"
2022 ▪
Figshare
Anuj Srivastava;
Joseph Ibrahim;
Zhengwu Zhang;
Hongtu Zhu;
Yuexuan Wu;
Di Xiong;
-
"Representation of Chromosome Conformations Using a Shape Alphabet Across Modeling Methods"
2021 ▪
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
Anuj Srivastava;
Darshan Bryner;
Nicola Neretti;
Carlos Soto;
Audrey Dalgarno;
Benjamin McLaughlin;
-
"Shape Analysis of Functional Data With Elastic Partial Matching"
2021 ▪
IEEE Transactions on Pattern Analysis and Machine Intelligence
-
"Elastic statistical analysis of interval-valued time series"
2021 ▪
Journal of Applied Statistics
-
"Nonparametric k-Sample Test on Shape Spaces with Applications to Mitochondrial Shape Analysis"
2021 ▪
Journal of the Royal Statistical Society Series C (Applied Statistics)
-
"Intensity Estimation for Poisson Process With Compositional Noise"
2021 ▪
Frontiers in Applied Mathematics and Statistics
-
"Elastic Shape Analysis of Planar Objects Using Tensor Field Representations"
2021 ▪
Journal of Mathematical Imaging and Vision
-
"Inaccuracy of the Hinge Point-to-Hinge Point Aortic Annulus Measurement—a Mathematical Explanation and Solution"
2021 ▪
Journal of the American Society of Echocardiography
-
"Transmission dynamics and forecasts of the COVID-19 pandemic in Mexico, March-December 2020"
2021 ▪
PLoS ONE
Anuj Srivastava;
Amna Tariq;
Juan M. Banda;
Pavel Skums;
Sushma Dahal;
Carlos Castillo-Garsow;
Baltazar Espinoza;
Noel G. Brizuela;
Roberto A. Saenz;
Alexander Kirpich;
Ruiyan Luo;
Humberto Gutierrez;
Nestor Garcia Chan;
Ana I. Bento;
Maria-Eugenia Jimenez-Corona;
Gerardo Chowell;
-
"Geo-FARM: Geodesic Factor Regression Model for Misaligned Pre-shape Responses in Statistical Shape Analysis"
2021 ▪
-
"SrvfRegNet: Elastic Function Registration Using Deep Neural Networks"
2021 ▪
-
"Random-Walk, Agent-Level Pandemic Simulation (RAW-ALPS) for Analyzing Effects of Different Lockdown Measures"
2021 ▪
Frontiers in Applied Mathematics and Statistics
-
"Statistical Comparisons Of Chromosomal Shape Populations"
2021 ▪
-
"A Quotient Space Formulation for Generative Statistical Analysis of Graphical Data"
2021 ▪
Journal of Mathematical Imaging and Vision
-
"Toward a Three-Dimensional Chromosome Shape Alphabet"
2021 ▪
Journal of Computational Biology
-
"Statistical Shape Analysis"
2021 ▪
Springer eBooks
-
"Modality-Constrained Density Estimation via Deformable Templates"
2020 ▪
Technometrics
-
"Modeling Shape Dynamics During Cell Motility in Microscopy Videos"
2020 ▪
Anuj Srivastava;
Ximu Deng;
Rituparna Sarkar;
Elisabeth Labruyere;
Jean-Christophe Olivo-Marin;
-
"Regression models using shapes of functions as predictors"
2020 ▪
Computational Statistics & Data Analysis
-
"Advances in Geometrical Analysis of Topologically-Varying Shapes"
2020 ▪
-
"Effect of Finite Ground Plane on Performance of Compact Air-Suspended Rectangular Microstrip Antenna for 5G Applications"
2020 ▪
IEEE Conference Proceedings
-
"Modality-Constrained Density Estimation via Deformable Templates"
2020 ▪
Figshare
-
"Shape Analysis of Functional Data"
2020 ▪
Springer eBooks
-
"Statistical Shape Analysis"
2020 ▪
Springer eBooks
-
"Statistical analysis and modeling of the geometry and topology of plant roots"
2019 ▪
Journal of Theoretical Biology
-
"A Framework for Interpretable Full-Body Kinematic Description Using Geometric and Functional Analysis"
2019 ▪
IEEE Transactions on Biomedical Engineering
-
"Contributors"
2019 ▪
Elsevier eBooks
Anuj Srivastava;
Beatriz Paniagua;
Nicolas Charon;
Martin Bauer;
James N. Damon;
Rudrasis Chakraborty;
Benjamin Charlier;
Hyo-young Choi;
Loic Devilliers;
Aasa Feragen;
Tom Fletcher;
Joan Glaunès;
Polina Golland;
Pietro Gori;
Junpyo Hong;
Sarang Joshi;
Sungkyu Jung;
Zhiyuan Liu;
Marco Lorenzi;
J.S. Marron;
Stephen Marsland;
Nina Miolane;
Jan Modersitzki;
Klas Modin;
Marc Niethammer;
Tom Nye;
Xavier Pennec;
Stephen M. Pizer;
Thomas Polzin;
Laurent Risser;
Pierre Roussillon;
Jörn Schulz;
Ankur Sharma;
Stefan Sommer;
Liyun Tu;
Baba C. Vemuri;
François-Xavier Vialard;
Jared Vicory;
Jiyao Wang;
William M. Wells;
Miaomiao Zhang;
Ruiyi Zhang;
-
"On shape analysis of functional data"
2019 ▪
Elsevier eBooks
-
"Analyzing Dynamical Brain Functional Connectivity as Trajectories on Space of Covariance Matrices"
2019 ▪
IEEE Transactions on Medical Imaging
-
"Discovering common change-point patterns in functional connectivity across subjects"
2019 ▪
Medical Image Analysis
-
"Abstract 1074: The PDX Data Commons and Coordinating Center (PDCCC) for PDXNet in support of preclinical research"
2019 ▪
Cancer Research
Anuj Srivastava;
Jack DiGiovanna;
Yvonne A. Evrard;
Jeffrey A. Moscow;
Brandi Davis-Dusenbery;
Jeffrey H. Chuang;
Vishal K. Sarsani;
Jacqueline Rosains;
Wingyi Woo;
Christian Frech;
Carol J. Bult;
ZiMing Zhao;
Javad Noorbakhsh;
Ogan D. Abaan;
Ryan Jeon;
Steve Neuhauser;
Peter Robinson;
-
"Abstract 1074: The PDX Data Commons and Coordinating Center (PDCCC) for PDXNet in support of preclinical research"
2019 ▪
Tumor Biology
Anuj Srivastava;
Vishal Sarsani;
Ziming Zhao;
Javad Noorbakhsh;
Jack DiGiovanna;
Ogan D. Abaan;
Steve Neuhauser;
Peter Robinson;
Yvonne A. Evrard;
Carol J. Bult;
Jeffrey A. Moscow;
Brandi Davis-Dusenbery;
Jeffrey H. Chuang;
Jacqueline Rosains;
Wingyi Woo;
Christian Frech;
Ryan Jeon;
-
"Abstract 1075: Genomic data analysis workflows for tumors from patient-derived xenografts (PDXs): Challenges and guidelines"
2019 ▪
Tumor Biology
Anuj Srivastava;
Jeffrey H. Chuang;
Guruprasad Ananda;
Vishal K. Sarsani;
Joshy George;
Xing Yi Woo;
Joel H. Graber;
Vinod Yadav;
Al Simons;
Glen Beane;
Stephen Grubb;
Grace Stafford;
Susan D. Airhart;
R. Krishna Karuturi;
Carol J. Bult;
-
"Bayesian Estimation of Three-Dimensional Chromosomal Structure from Single-Cell Hi-C Data"
2019 ▪
Journal of Computational Biology
Anuj Srivastava;
Darshan Bryner;
Michael Rosenthal;
Fred Huffer;
Shane Evans;
Nicola Neretti;
-
"Clustering Household Electrical Load Profiles Using Elastic Shape Analysis"
2019 ▪
-
"Video-Based Action Recognition Using Dimension Reduction of Deep Covariance Trajectories"
2019 ▪
-
"Pattern Recognition"
2019 ▪
Wiley Encyclopedia of Electrical and Electronics Engineering
-
"Bayesian shape-constrained density estimation"
2019 ▪
Quarterly of Applied Mathematics
-
"A Two-Step Geometric Framework For Density Modeling"
2019 ▪
Statistica Sinica
-
"Additional file 2: of Genomic data analysis workflows for tumors from patient-derived xenografts (PDXs): challenges and guidelines"
2019 ▪
Figshare
Anuj Srivastava;
Jeffrey H. Chuang;
Guruprasad Ananda;
Vishal K. Sarsani;
Joshy George;
Xing Yi Woo;
Joel H. Graber;
Vinod Yadav;
Al Simons;
Glen Beane;
Stephen Grubb;
Grace Stafford;
Susan D. Airhart;
R. Krishna Karuturi;
Carol J. Bult;
Rangjiao Liu;
-
"Elastic functional principal component regression"
2018 ▪
Statistical Analysis and Data Mining The ASA Data Science Journal
-
"Are generalized spillover indices overstating connectedness?"
2018 ▪
Economics Letters
-
"Statistical shape analysis of simplified neuronal trees"
2018 ▪
The Annals of Applied Statistics
-
"Shape Preserving Incremental Learning for Power Systems Fault Detection"
2018 ▪
IEEE Control Systems Letters
Anuj Srivastava;
Reza Arghandeh;
Jose Cordova;
Carlos Soto;
Mostafa Gilanifar;
Yuxun Zhou;
-
"Abstract 1029: The PDX Data Commons and Coordinating Center (PDCCC) for PDXNet"
2018 ▪
Cancer Research
Anuj Srivastava;
Anurag Sethi;
Xingyi Woo;
Vishal Sarsani;
Ziming Zhao;
Javad Noorbakhsh;
Christian French;
Jack DiGiovanna;
Ogan D. Abaan;
Steve Neuhauser;
Peter Robinson;
Yvonne A. Evrard;
Carol J. Bult;
Jeffrey A. Moscow;
Brandi Davis-Dusenbery;
Jeffrey H. Chuang;
-
"Robust Comparison of Kernel Densities on Spherical Domains"
2018 ▪
Sankhya A
-
"Elastic Handling of Predictor Phase in Functional Regression Models"
2018 ▪
-
"Shape-Constrained and Unconstrained Density Estimation Using Geometric Exploration"
2018 ▪
-
"Temporal Alignment Improves Feature Quality: An Experiment on Activity Recognition with Accelerometer Data"
2018 ▪
Anuj Srivastava;
Pavan Turaga;
Hongjun Choi;
Qiao Wang;
Meynard Toledo;
Matthew Buman;
-
"Genome Informatics"
2018 ▪
Elsevier eBooks
Anuj Srivastava;
Anil K. Kesarwani;
Ankit Malhotra;
Guruprasad Ananda;
Haitham Ashoor;
Parveen Kumar;
Rupesh K. Kesharwani;
Vishal K. Sarsani;
Yi Li;
Joshy George;
R. Krishna Murty Karuturi;
-
"Rate-Invariant Analysis of Covariance Trajectories"
2018 ▪
Journal of Mathematical Imaging and Vision
-
"Mapping population-based structural connectomes"
2018 ▪
NeuroImage
Anuj Srivastava;
Zhengwu Zhang;
Maxime Descoteaux;
Jingwen Zhang;
Gabriel Girard;
Maxime Chamberland;
David Dunson;
Hongtu Zhu;
-
"Phase-Amplitude Separation and Modeling of Spherical Trajectories"
2018 ▪
Journal of Computational and Graphical Statistics
-
"Phase-Amplitude Separation and Modeling of Spherical Trajectories"
2018 ▪
Figshare
-
"Elastic 3D shape analysis using square-root normal field representation"
2017 ▪
-
"Optimization Problems Associated with Manifold-Valued Curves with Applications in Computer Vision"
2017 ▪
Springer eBooks
-
"Elastic Shape Analysis of Three-Dimensional Objects"
2017 ▪
Synthesis lectures on computer vision
-
"Bayesian Tractography Using Geometric Shape Priors"
2017 ▪
Frontiers in Neuroscience
-
"Shape analysis of curved surfaces in synthetic aperture sonar 3-dimensional imagery"
2017 ▪
OCEANS 2017 – Anchorage
-
"A Geometric Framework For Density Modeling"
2017 ▪
arXiv (Cornell University)
-
"Numerical Inversion of SRNF Maps for Elastic Shape Analysis of Genus-Zero Surfaces"
2017 ▪
IEEE Transactions on Pattern Analysis and Machine Intelligence
-
"Case Studies Using Human Body and Anatomical Shapes"
2017 ▪
Synthesis lectures on computer vision
-
"Computing Geometrical Quantities"
2017 ▪
Synthesis lectures on computer vision
-
"Discovering Change-Point Patterns in Dynamic Functional Brain Connectivity of a Population"
2017 ▪
Lecture notes in computer science
-
"Elastic Shape Analysis of Three-Dimensional Objects"
2017 ▪
Synthesis lectures on computer vision
-
"Elastic Shape Analysis: Metrics and Representations"
2017 ▪
Synthesis lectures on computer vision
-
"Exact Function Alignment Under Elastic Riemannian Metric"
2017 ▪
Lecture notes in computer science
-
"Genomes of the Mouse Collaborative Cross"
2017 ▪
Carolina Digital Repository (University of North Carolina at Chapel Hill)
Anuj Srivastava;
Patrick F Sullivan;
Vishal K. Sarsani;
Morgan, Andrew P.;
Najarian, Maya L.;
Sigmon, J. Sebastian;
Shorter, John R.;
Kashfeen, Anwica;
McMullan, Rachel C.;
Williams, Lucy H.;
Giusti-Rodríguez, Paola;
Ferris, Martin T.;
Hock, Pablo;
Miller, Darla R.;
Bell, Timothy A.;
McMillan, Leonard;
Churchill, Gary A.;
De Villena, Fernando Pardo-Manuel;
-
"Landmark-driven Elastic Shape Analysis"
2017 ▪
Synthesis lectures on computer vision
-
"Problem Introduction and Motivation"
2017 ▪
Synthesis lectures on computer vision
-
"Statistical Analysis of Shapes"
2017 ▪
Synthesis lectures on computer vision
-
"Automated Alignment of Mass Spectrometry Data Using Functional Geometry"
2016 ▪
Springer eBooks
-
"3. Image registration using phase–amplitude separation"
2016 ▪
De Gruyter eBooks
-
"Surface Shape Morphometry for Hippocampal Modeling in Alzheimer's Disease"
2016 ▪
-
"Testing Stationarity of Brain Functional Connectivity Using Change-Point Detection in fMRI Data"
2016 ▪
-
"Spatially Coherent Interpretations of Videos Using Pattern Theory"
2016 ▪
International Journal of Computer Vision
-
"Elastic Functional Coding of Riemannian Trajectories"
2016 ▪
IEEE Transactions on Pattern Analysis and Machine Intelligence
-
"Estimation of linear target-layer trajectories using cluttered point cloud data"
2016 ▪
Computational Statistics & Data Analysis
Anuj Srivastava;
Darshan Bryner;
J. Derek Tucker;
Michael Rosenthal;
Fred Huffer;
-
"Norm-preserving constraint in the Fisher–Rao registration and its application in signal estimation"
2016 ▪
Journal of nonparametric statistics
-
"A two-sample test for statistical comparisons of shape populations"
2016 ▪
-
"Pattern theory for representation and inference of semantic structures in videos"
2016 ▪
Pattern Recognition Letters
-
"Underwater Minefield Detection in Clutter Data Using Spatial Point-Process Models"
2016 ▪
IEEE Journal of Oceanic Engineering
-
"In-vitro Measurement of Glucose Concentration in Human Blood Plasma Mixed Intralipid Phantom Samples by Using Modulated Ultrasound and Infrared Light"
2016 ▪
British Biotechnology Journal
-
"An Elastic Riemannian Framework for Shape Analysis of Curves and Tree-Like Structures"
2016 ▪
Advances in computer vision and pattern recognition
-
"Background: Relevant Tools from Geometry"
2016 ▪
Springer series in statistics
-
"Congenital Ichthyosis - Collodion Baby Case Report"
2016 ▪
JOURNAL OF CLINICAL AND DIAGNOSTIC RESEARCH
Anuj Srivastava;
Priyanka Srivastava;
Prachi Srivastava;
Anupama Vithal Kumar Betigeri;
Minakshi Verma;
-
"Functional and Shape Data Analysis"
2016 ▪
Springer series in statistics
-
"Functional Data and Elastic Registration"
2016 ▪
Springer series in statistics
-
"Motivation for Function and Shape Analysis"
2016 ▪
Springer series in statistics
-
"Optical phantam based in-vitro study for developing non-invasive blood glucose monitoring technique using modulated ultrasound and infrared light"
2016 ▪
-
"Previous Techniques in Shape Analysis"
2016 ▪
Springer series in statistics
-
"Related Topics in Shape Analysis of Curves"
2016 ▪
Springer series in statistics
-
"Shapes of Curves in Higher Dimensions"
2016 ▪
Springer series in statistics
-
"Shapes of Planar Closed Curves"
2016 ▪
Springer series in statistics
-
"Shapes of Planar Curves"
2016 ▪
Springer series in statistics
-
"Statistical Modeling of Functional Data"
2016 ▪
Springer series in statistics
-
"Statistical Modeling of Planar Shapes"
2016 ▪
Springer series in statistics
-
"Statistical Modeling on Nonlinear Manifolds"
2016 ▪
Springer series in statistics
-
"Noninvasive blood glucose measurement utilizing a newly designed system based on modulated ultrasound and infrared light"
2015 ▪
International Journal of Diabetes in Developing Countries
-
"Welcome to Riemannian Computing in Computer Vision"
2015 ▪
Springer eBooks
-
"Functional Data Analysis of Amplitude and Phase Variation"
2015 ▪
Statistical Science
-
"Riemannian Optimization for Registration of Curves in Elastic Shape Analysis"
2015 ▪
Journal of Mathematical Imaging and Vision
-
"Elastic registration and shape analysis of functional objects"
2015 ▪
Wiley series in probability and statistics
-
"Action Recognition Using Rate-Invariant Analysis of Skeletal Shape Trajectories"
2015 ▪
IEEE Transactions on Pattern Analysis and Machine Intelligence
-
"Elastic functional coding of human actions: From vector-fields to latent variables"
2015 ▪
-
"Temporally coherent interpretations for long videos using pattern theory"
2015 ▪
-
"Gauge Invariant Framework for Shape Analysis of Surfaces"
2015 ▪
IEEE Transactions on Pattern Analysis and Machine Intelligence
-
"Video Event Understanding with Pattern Theory"
2015 ▪
-
"Bayesian clustering of shapes of curves"
2015 ▪
Journal of Statistical Planning and Inference
-
"Bayesian Shape Clustering"
2015 ▪
Springer eBooks
-
"Error Grid Analysis of Reference and Predicted Blood Glucose Level Values as Obtained from the Normal and Prediabetic Human Volunteers"
2015 ▪
American Journal of Biomedical Engineering
-
"Functional Data Analysis of Amplitude and Phase Variation"
2015 ▪
Carolina Digital Repository (University of North Carolina at Chapel Hill)
-
"Generation of 3D Canonical Anatomical Models: An Experience on Carpal Bones"
2015 ▪
Lecture notes in computer science
Anuj Srivastava;
Sebastian Kurtek;
Hamid Laga;
Imon Banerjee;
Giuseppe Patanè;
Michela Spagnuolo;
-
"Study of reeological charactics of blood flow in narrow vessels"
2015 ▪
Shodhganga
-
"Prospective Analysis of Developing Noninvasive Blood Glucose Monitoring Biosensors for Diabetic Population"
2014 ▪
Biosciences Biotechnology Research Asia
-
"The Utilization of Ultrasonic Standing Waves for Predicting Glucose Concentration Levels in Dextrose Mixed Intralipid Based Tissue Phantom"
2014 ▪
Biomedical & Pharmacology Journal
-
"Fusion of Global and Local Motion Estimation Using Foreground Objects for Distributed Video Coding"
2014 ▪
IEEE Transactions on Circuits and Systems for Video Technology
Anuj Srivastava;
Abdalbassir Abou-Elailah;
Frederic Dufaux;
Joumana Farah;
Marco Cagnazzo;
Beatrice Pesquet-Popescu;
-
"Measurement of Glucose Concentration using Amplitude Modulated Ultrasound with Infrared Technique in Intralipid Phantoms and Human Whole Blood Mixed Intralipid Phantoms of Healthy and Diabetic Subjects"
2014 ▪
Biosciences Biotechnology Research Asia
-
"Pairwise Alignment of Chromatograms using a Fisher-Rao Metric"
2014 ▪
Analytica Chimica Acta
-
"Accurate 3D action recognition using learning on the Grassmann manifold"
2014 ▪
Pattern Recognition
-
"Landmark-free statistical analysis of the shape of plant leaves"
2014 ▪
Journal of Theoretical Biology
-
"Glycemia levels relation with blood pressure in normal and hyperglycemic subjects: Its evaluation by invasive and indigenous noninvasive glycemic level detecting technology"
2014 ▪
-
"Handwritten Text Segmentation Using Elastic Shape Analysis"
2014 ▪
-
"Measurement of glucose by using modulating ultrasound with optical technique in normal and diabetic human blood serum"
2014 ▪
-
"Pattern Theory-Based Interpretation of Activities"
2014 ▪
-
"Pairwise alignment of chromatograms using an extended Fisher–Rao metric"
2014 ▪
Analytica Chimica Acta
-
"The Potential Application of Amplitude Modulated Ultrasound with Infrared Technique for Blood Glucose Level Determination in Non Invasive Manner"
2014 ▪
Biomedical & Pharmacology Journal
-
"Bayesian Active Contours with Affine-Invariant, Elastic Shape Prior"
2014 ▪
-
"Rate-Invariant Analysis of Trajectories on Riemannian Manifolds with Application in Visual Speech Recognition"
2014 ▪
-
"RASS: a web server for RNA alignment in the joint sequence-structure space"
2014 ▪
Nucleic Acids Research
-
"Riemannian Optimization for Elastic Shape Analysis"
2014 ▪
-
"4-D Facial Expression Recognition by Learning Geometric Deformations"
2014 ▪
IEEE Transactions on Cybernetics
Anuj Srivastava;
Mohamed Daoudi;
Hassen Drira;
Boulbaba Ben Amor;
Stefano Berretti;
-
"Spherical Regression Models Using Projective Linear Transformations"
2014 ▪
Journal of the American Statistical Association
-
"Statistical analysis of trajectories on Riemannian manifolds: Bird migration, hurricane tracking and video surveillance"
2014 ▪
The Annals of Applied Statistics
-
"Elastic Shape Analysis of Cylindrical Surfaces for 3D/2D Registration in Endometrial Tissue Characterization"
2014 ▪
IEEE Transactions on Medical Imaging
-
"Analysis of AneuRisk65 data: Elastic shape registration of curves"
2014 ▪
Electronic Journal of Statistics
-
"Analysis of juggling data: Alignment, extraction, and modeling of juggling cycles"
2014 ▪
Electronic Journal of Statistics
-
"Analysis of proteomics data: Phase amplitude separation using an extended Fisher-Rao metric"
2014 ▪
Electronic Journal of Statistics
-
"Analysis of spike train data: Alignment and comparisons using the extended Fisher-Rao metric"
2014 ▪
Electronic Journal of Statistics
-
"Analysis of spike train data: Discussion of results"
2014 ▪
Electronic Journal of Statistics
-
"Five days daily sessions of noninvasive blood glucose level predictions based on amplitude modulated ultrasound and infrared technique over a healthy and diabetic subject"
2014 ▪
IOSR Journal of Electrical and Electronics Engineering
-
"Image Analysis and Recognition"
2014 ▪
Academic press library in signal processing
-
"Image, video processing and analysis, hardware, audio, acoustic and speech processing"
2014 ▪
Academic Press eBooks
Anuj Srivastava;
H Trussell;
Rama Chellappa;
A.K. Roy-Chowdhury;
Ankur Srivastava;
Patrick A. Naylor;
Sergios Theodoridis;
-
"Introduction to neural spike train data for phase-amplitude analysis"
2014 ▪
Electronic Journal of Statistics
-
"Metric-Based Pairwise and Multiple Image Registration"
2014 ▪
Lecture notes in computer science
-
"Numerical Inversion of SRNFs for Efficient Elastic Shape Analysis of Star-Shaped Objects"
2014 ▪
Lecture notes in computer science
-
"Prospective Utilization o f Modulated Ultrasound w ith Infrared Unit t o Predict Three Different Ranges o f Bloo d Glucose Concentration Levels i n Various Human Whole Blood Mixed Intralipid Phantom Samples and Its Performance Evaluation b y Clarke a nd Parkes Error Grid Analysis"
2014 ▪
-
"Spherical Regression Models Using Projective Linear Transformations"
2014 ▪
Figshare
-
"Statistical Shape Analysis"
2014 ▪
Springer eBooks
-
"Statistics of time warpings and phase variations"
2014 ▪
Carolina Digital Repository (University of North Carolina at Chapel Hill)
-
"Statistics of time warpings and phase variations"
2014 ▪
Electronic Journal of Statistics
-
"The Role of Amplitude Modulated Ultrasonic Standing Waves and Infrared Light in Noninvasive detection of Blood Glucose Levels"
2014 ▪
-
"The V iability of Intralipid optical Phantom for Developing Noninvasive Blood G lucometer"
2014 ▪
-
"An efficient multiple protein structure comparison method and its application to structure clustering and outlier detection"
2013 ▪
-
"Parallel Transport of Deformations in Shape Space of Elastic Surfaces"
2013 ▪
-
"Rate-invariant comparisons of covariance paths for visual speech recognition"
2013 ▪
-
"Differential geometric representations and algorithms for some pattern recognition and computer vision problems"
2013 ▪
Pattern Recognition Letters
-
"2D Affine and Projective Shape Analysis"
2013 ▪
IEEE Transactions on Pattern Analysis and Machine Intelligence
-
"Statistical shape models of plant leaves"
2013 ▪
-
"Elastic shapes models for improving segmentation of object boundaries in synthetic aperture sonar images"
2013 ▪
Computer Vision and Image Understanding
-
"Analysis of Signals Under Compositional Noise With Applications to SONAR Data"
2013 ▪
IEEE Journal of Oceanic Engineering
-
"3D Face Modeling, Analysis and Recognition"
2013 ▪
Wiley eBooks
-
"3D Face Surface Analysis and Recognition Based on Facial Curves"
2013 ▪
Anuj Srivastava;
Mohamed Daoudi;
Hassen Drira;
Boulbaba Ben Amor;
Stefano Berretti;
Alberto del Bimbo;
Pietro Pala;
-
"Applications"
2013 ▪
Anuj Srivastava;
Mohamed Daoudi;
Hassen Drira;
Boulbaba Ben Amor;
Stefano Berretti;
Alberto del Bimbo;
Pietro Pala;
-
"Shadow Segmentation in SAS and SAR Using Bayesian Elastic Contours"
2013 ▪
-
"The influence of blood glucose level upon the transport of light in diabetic and non-diabetic subjects"
2013 ▪
International Journal of Biomedical and Advance Research
-
"Landmark?Guided Elastic Shape Analysis of Spherically?Parameterized Surfaces"
2013 ▪
Computer Graphics Forum
-
"Gaussian Blurring-Invariant Comparison of Signals and Images"
2013 ▪
IEEE Transactions on Image Processing
-
"Statistical analysis of manual segmentations of structures in medical images"
2013 ▪
Computer Vision and Image Understanding
Anuj Srivastava;
Sebastian Kurtek;
Jingyong Su;
Cindy Grimm;
Michelle Vaughan;
Ross Sowell;
-
"RNA global alignment in the joint sequence–structure space using elastic shape analysis"
2013 ▪
Nucleic Acids Research
-
"Segmentation, alignment and statistical analysis of biosignals with application to disease classification"
2013 ▪
Journal of Applied Statistics
-
"Morphological changes in the corpus callosum: a study using joint Riemannian feature spaces"
2013 ▪
Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE
-
"3D Face Recognition under Expressions, Occlusions, and Pose Variations"
2013 ▪
IEEE Transactions on Pattern Analysis and Machine Intelligence
-
"Blood Glucose Monitoring Using Non InvasiveOptical Method: Design Limitations andChallenges"
2013 ▪
International Journal of Advanced Research in Electrical Electronics and Instrumentation Engineering
-
"Challenges & Countermeasures in OpticalNoninvasive Blood Glucose Detection"
2013 ▪
International Journal of Innovative Research in Science Engineering and Technology
-
"Joint Registration and Shape Analysis of Curves and Surfaces"
2013 ▪
Advances in computer vision and pattern recognition
-
"Sélection de caractéristiques géométriques pour la reconnaissance faciale 3D"
2013 ▪
Anuj Srivastava;
Mohamed Daoudi;
Boulbaba Ben Amor;
Lahoucine Ballihi;
Driss Aboutajdine;
-
"Statistical Methods on Special Manifolds for Image and Video Understanding"
2013 ▪
Handbook of statistics
-
"Generative models for functional data using phase and amplitude separation"
2012 ▪
Computational Statistics & Data Analysis
-
"A Riemannian Elastic Metric for Shape-Based Plant Leaf Classification"
2012 ▪
Anuj Srivastava;
Sebastian Kurtek;
Hamid Laga;
Stanley J. Miklavcic;
Mahmood Golzarian;
-
"Sélection de caractéristiques géométriques pour la reconnaissance faciale 3D"
2012 ▪
Traitement du signal
Anuj Srivastava;
Mohamed Daoudi;
Boulbaba Ben Amor;
Lahoucine Ballihi;
Driss Aboutadjine;
-
"Estimating summary statistics in the spike-train space"
2012 ▪
Journal of Computational Neuroscience
-
"Analysis of signals under compositional noise with applications to SONAR data"
2012 ▪
-
"Detection, classification and estimation of individual shapes in 2D and 3D point clouds"
2012 ▪
Computational Statistics & Data Analysis
-
"Statistical Modeling of Curves Using Shapes and Related Features"
2012 ▪
Journal of the American Statistical Association
-
"Estimation of a mean template from spike-train data"
2012 ▪
-
"Boosting 3-D-Geometric Features for Efficient Face Recognition and Gender Classification"
2012 ▪
IEEE Transactions on Information Forensics and Security
Anuj Srivastava;
Mohamed Daoudi;
Boulbaba Ben Amor;
Lahoucine Ballihi;
Driss Aboutajdine;
-
"Affine-invariant, elastic shape analysis of planar contours"
2012 ▪
-
"WE-E-213CD-05: A Non-Rigid Image Registration Algorithm That Accommodates Organ Segmentation Error"
2012 ▪
Medical Physics
Anuj Srivastava;
Sebastian Kurtek;
Elisabeth Weiss;
C Zhang;
GE Christensen;
MJ Murphy;
JF Williamson;
-
"On advances in differential-geometric approaches for 2D and 3D shape analyses and activity recognition"
2012 ▪
Image and Vision Computing
-
"Computing Equilibrium Wealth Distributions in Models with Heterogeneous-Agents, Incomplete Markets and Idiosyncratic Risk"
2012 ▪
Computational Economics
-
"A geometric analysis of ODFs as oriented surfaces for interpolation, averaging and denoising in HARDI data"
2012 ▪
-
"A Novel Framework for Metric-Based Image Registration"
2012 ▪
Lecture notes in computer science
-
"Elastic Shape Matching of Parameterized Surfaces Using Square Root Normal Fields"
2012 ▪
Lecture notes in computer science
-
"Elastic symmetry analysis of anatomical structures"
2012 ▪
-
"SUPIR: Surface Uncertainty-Penalized, Non-rigid Image Registration for Pelvic CT Imaging"
2012 ▪
Lecture notes in computer science
Anuj Srivastava;
Sebastian Kurtek;
Gary E. Christensen;
Cheng Zhang;
Martin J. Murphy;
Elisabeth Weiss;
Erwei Bai;
Jeffrey F. Williamson;
-
"Signal Estimation Under Random Time-Warpings and Nonlinear Signal Alignment"
2011 ▪
Neural Information Processing Systems
-
"Elastic Geodesic Paths in Shape Space of Parameterized Surfaces"
2011 ▪
IEEE Transactions on Pattern Analysis and Machine Intelligence
-
"Blurring-invariant Riemannian metrics for comparing signals and images"
2011 ▪
-
"Structure-based RNA Function Prediction Using Elastic Shape Analysis"
2011 ▪
-
"An Improved Estimator of GRID Model for Representing Large Diffeomorphic Deformations"
2011 ▪
-
"Fitting smoothing splines to time-indexed, noisy points on nonlinear manifolds"
2011 ▪
Image and Vision Computing
-
"An information-geometric framework for statistical inferences in the neural spike train space"
2011 ▪
Journal of Computational Neuroscience
-
"Statistical analysis and classification of acoustic color functions"
2011 ▪
Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE
-
"A Gradient-Descent Method for Curve Fitting on Riemannian Manifolds"
2011 ▪
Foundations of Computational Mathematics
-
"Statistical Computations on Grassmann and Stiefel Manifolds for Image and Video-Based Recognition"
2011 ▪
IEEE Transactions on Pattern Analysis and Machine Intelligence
-
"Statistical Analysis and Modeling of Elastic Functions"
2011 ▪
arXiv (Cornell University)
-
"A joint model for boundaries of multiple anatomical parts"
2011 ▪
Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE
-
"A novel Riemannian metric for analyzing HARDI data"
2011 ▪
Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE
-
"Classification of mathematics deficiency using shape and scale analysis of 3D brain structures"
2011 ▪
Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE
-
"Parameterization-Invariant Shape Comparisons of Anatomical Surfaces"
2011 ▪
IEEE Transactions on Medical Imaging
-
"Shape analysis of local facial patches for 3D facial expression recognition"
2011 ▪
Pattern Recognition
Anuj Srivastava;
Mohamed Daoudi;
Boulbaba Ben Amor;
Stefano Berretti;
Ahmed Maalej;
-
"A Mathematical Framework for Protein Structure Comparison"
2011 ▪
PLoS Computational Biology
-
"A riemannian framework for annotated curves analysis"
2011 ▪
-
"Parameterization-Invariant Shape Statistics and Probabilistic Classification of Anatomical Surfaces"
2011 ▪
Lecture notes in computer science
-
"Silhouette-based gesture and action recognition via modeling trajectories on Riemannian shape manifolds"
2010 ▪
Computer Vision and Image Understanding
-
"Towards statistical summaries of spike train data"
2010 ▪
Journal of Neuroscience Methods
-
"Elastic radial curves to model 3D facial deformations"
2010 ▪
-
"Elastic Riemannian frameworks and statistical tools for shape analysis"
2010 ▪
-
"An Open Platform for 3D Face Recognition Algorithms"
2010 ▪
Anuj Srivastava;
Mohamed Daoudi;
Hassen Drira;
Boulbaba Ben Amor;
Joseph Colineau;
-
"Shape Analysis of Elastic Curves in Euclidean Spaces"
2010 ▪
IEEE Transactions on Pattern Analysis and Machine Intelligence
-
"Geodesic shape distance and integral invariant shape features for automatic target recognition"
2010 ▪
-
"Protein structure alignment using elastic shape analysis"
2010 ▪
-
"Detection of Shapes in 2D Point Clouds Generated from Images"
2010 ▪
-
"A fully statistical framework for shape detection in image primitives"
2010 ▪
-
"A novel riemannian framework for shape analysis of 3D objects"
2010 ▪
-
"Joint Gait-Cadence Analysis for Human Identification Using an Elastic Shape Framework"
2010 ▪
Communication in Statistics- Theory and Methods
-
"A Statistical Theory for Shape Analysis of Curves and Surfaces with Applications in Image Analysis, Biometrics, Bioinformatics and Medical Diagnostics"
2010 ▪
-
"Guest Editors' Introduction to the Special Section on Shape Analysis and Its Applications in Image Understanding"
2010 ▪
IEEE Transactions on Pattern Analysis and Machine Intelligence
-
"A comprehensive riemannian framework for the analysis of white matter fiber tracts"
2010 ▪
-
"An efficient particle filtering technique on the Grassmann manifold"
2010 ▪
-
"Statistical Analysis on Manifolds and Its Applications to Video Analysis"
2010 ▪
Studies in computational intelligence
-
"Mapping Genetic Influences on Brain Fiber Architecture and Intellectual Performance - A High Angular Resolution Diffusion Imaging (HARDI) Study"
2009 ▪
NeuroImage
Anuj Srivastava;
Paul M. Thompson;
Marina Barysheva;
David W. Shattuck;
Sarah K. Madsen;
Christina Avedissian;
Andrea D. Klunder;
Greig I. de Zubicaray;
Nikolay Balov;
A. W. Toga;
M-C. Chiang;
A.D. Lee;
K.L. McMahon;
M.J. Wright;
-
"Rate-Invariant Recognition of Humans and Their Activities"
2009 ▪
IEEE Transactions on Image Processing
-
"Optimal linear projections for enhancing desired data statistics"
2009 ▪
Statistics and Computing
-
"Genetics of Brain Fiber Architecture and Intellectual Performance"
2009 ▪
Journal of Neuroscience
Anuj Srivastava;
Arthur Toga;
Paul M. Thompson;
Ming-Chang Chiang;
Marina Barysheva;
David W. Shattuck;
Agatha D. Lee;
Sarah K. Madsen;
Christina Avedissian;
Andrea D. Klunder;
Katie L. McMahon;
Greig I. de Zubicaray;
Margaret J. Wright;
Nikolay Balov;
-
"An experimental illustration of 3D facial shape analysis under facial expressions"
2009 ▪
Annals of Telecommunications
Anuj Srivastava;
Mohamed Daoudi;
Hassen Drira;
Boulbaba Ben Amor;
Lahoucine Ballihi;
-
"Bayesian Classification of Shapes Hidden in Point Cloud Data"
2009 ▪
-
"COMPUTATIONAL METHODS IN STATISTICS"
2009 ▪
-
"Fitting Curves on Riemannian Manifolds Using Energy Minimization"
2009 ▪
Machine Vision Applications
-
"Nasal Region Contribution in 3D Face Biometrics Using Shape Analysis Framework"
2009 ▪
Lecture notes in computer science
-
"ON ANALYZING SYMMETRY OF OBJECTS USING ELASTIC DEFORMATIONS"
2009 ▪
-
"An Intrinsic Framework for Analysis of Facial Surfaces"
2008 ▪
International Journal of Computer Vision
-
"Intrinsic Bayesian Active Contours for Extraction of Object Boundaries in Images"
2008 ▪
International Journal of Computer Vision
-
"Joint shape and texture analysis of objects boundaries in images using a Riemannian approach"
2008 ▪
-
"Modeling spatial patterns of shapes"
2008 ▪
-
"Looking for Shapes in Two-Dimensional Cluttered Point Clouds"
2008 ▪
IEEE Transactions on Pattern Analysis and Machine Intelligence
-
"The Labeling of Cortical Sulci using Multidimensional Scaling"
2008 ▪
-
"Elastic Shape Models for Face Analysis Using Curvilinear Coordinates"
2008 ▪
Journal of Mathematical Imaging and Vision
-
"Mapping genetic influences on brain fiber architecture with high angular resolution diffusion imaging (HARDI)"
2008 ▪
Anuj Srivastava;
Arthur Toga;
Paul M. Thompson;
Marina Barysheva;
Agatha D. Lee;
Sarah K. Madsen;
Andrea D. Klunder;
Katie L. McMahon;
Greig I. de Zubicaray;
Margaret J. Wright;
Nikolay Balov;
Matthew Meredith;
None Ming-Chang Chiang;
-
"The Karcher mean of a class of symmetric distributions on the circle"
2008 ▪
Statistics & Probability Letters
-
"Brain fiber architecture, genetics, and intelligence: a high angular resolution diffusion imaging (HARDI) study"
2008 ▪
Faculty of Health; Institute of Health and Biomedical Innovation
Anuj Srivastava;
Arthur Toga;
Paul M. Thompson;
Ming-Chang Chiang;
Marina Barysheva;
Sarah K. Madsen;
Andrea D. Klunder;
Katie L. McMahon;
Greig I. de Zubicaray;
Margaret J. Wright;
Nikolay Balov;
Matthew Meredith;
A. D. Lee;
-
"Brain Fiber Architecture, Genetics, and Intelligence: A High Angular Resolution Diffusion Imaging (HARDI) Study"
2008 ▪
Lecture notes in computer science
Anuj Srivastava;
Arthur Toga;
Paul M. Thompson;
Ming-Chang Chiang;
Marina Barysheva;
Agatha D. Lee;
Sarah K. Madsen;
Andrea D. Klunder;
Katie L. McMahon;
Greig I. de Zubicaray;
Margaret J. Wright;
Nikolay Balov;
Matthew Meredith;
-
"Mapping genetic influences on brain fiber architecture with high angular resolution diffusion imaging (HARDI)"
2008 ▪
Faculty of Health; Institute of Health and Biomedical Innovation
Anuj Srivastava;
Arthur Toga;
Paul M. Thompson;
Ming-Chang Chiang;
Marina Barysheva;
Sarah K. Madsen;
Andrea D. Klunder;
Katie L. McMahon;
Greig I. de Zubicaray;
Margaret J. Wright;
Nikolay Balov;
Matthew Meredith;
A. D. Lee;
-
"Mapping genetic influences on brain fiber architecture with High Angular Resolution Diffusion Imaging (HARDI)"
2008 ▪
Anuj Srivastava;
Paul M. Thompson;
Ming-Chang Chiang;
Marina Barysheva;
Sarah K. Madsen;
Andrea D. Klunder;
Katie L. McMahon;
Margaret J. Wright;
Nikolay Balov;
Matthew Meredith;
A. D. Lee;
A. W. Toga;
Greig I De Zubaricay;
-
"MURI 06: Integrated Fusion, Performance Prediction, and Sensor Management for Automatic Target Exploitation FA9550-06-1-0324"
2008 ▪
Anuj Srivastava;
Müjdat Çetin;
Randolph L. Moses;
David Castanon;
Emre Ertin;
Clem Karl;
Alan Willsky;
J. Fisher;
A. Hero;
-
"Gait-Based Human Recognition by Classification of Cyclostationary Processes on Nonlinear Shape Manifolds"
2007 ▪
Journal of the American Statistical Association
-
"Rejoinder"
2007 ▪
Journal of the American Statistical Association
-
"Tree species classification using radiometry, texture and shape based features"
2007 ▪
European Signal Processing Conference
Anuj Srivastava;
Meena Mani;
Maria S. Kulikova;
Xavier Descombes;
Josiane Zerubia;
-
"A Framework of Calculus on Facial Surfaces"
2007 ▪
-
"Shape Analysis of Open Curves in ?3 with Applications to Study of Fiber Tracts in DT-MRI Data"
2007 ▪
Lecture notes in computer science
-
"Removing Shape-Preserving Transformations in Square-Root Elastic (SRE) Framework for Shape Analysis of Curves"
2007 ▪
Lecture notes in computer science
-
"A Novel Representation for Riemannian Analysis of Elastic Curves in Rn"
2007 ▪
-
"Riemannian Analysis of Probability Density Functions with Applications in Vision"
2007 ▪
-
"Integrated Fusion, Performance Prediction, and Sensor Management for Automatic Target Exploitation"
2007 ▪
Anuj Srivastava;
Müjdat Çetin;
Randolph L. Moses;
David Castanon;
Emre Ertin;
III Fisher;
Hero John W.;
Alfred O. III;
Clem Karl;
Lee C. Potter;
Alan Willsky;
-
"A Pattern-Theoretic Characterization of Biological Growth"
2007 ▪
IEEE Transactions on Medical Imaging
-
"An Efficient Representation for Computing Geodesics Between n-Dimensional Elastic Shapes"
2007 ▪
-
"HUMAN IDENTIFICATION USING FACIAL CURVES WITH EXTENSIONS TO JOINT SHAPE-TEXTURE ANALYSIS"
2007 ▪
-
"Applications of Planar Shape Analysis to Image-Based Inferences"
2006 ▪
-
"Three-Dimensional Face Recognition Using Shapes of Facial Curves"
2006 ▪
IEEE Transactions on Pattern Analysis and Machine Intelligence
-
"On Shape of Plane Elastic Curves"
2006 ▪
International Journal of Computer Vision
-
"3D Face Recognition Using Shapes of Facial Curves"
2006 ▪
-
"Applications of Shape-Distance Metric to Clustering Shape-Databases"
2006 ▪
Kluwer Academic Publishers eBooks
-
"Characterization of Biological Growth Using Iterated Diffeomorphisms"
2006 ▪
-
"Contour Inferences for Image Understanding"
2006 ▪
International Journal of Computer Vision
-
"Fluidized Bed Separators - A Comprehensive Review"
2006 ▪
-
"Cyclostationary Processes on Shape Spaces for Gait-Based Recognition"
2006 ▪
Lecture notes in computer science
-
"Geodesics Between 3D Closed Curves Using Path-Straightening"
2006 ▪
Lecture notes in computer science
-
"High-Resolution Spectral Analysis of Mixtures of Complex Exponentials Modulated by Polynomials"
2006 ▪
-
"Riemannian Structures on Shape Spaces: A Framework for Statistical Inferences"
2006 ▪
Modeling and simulation in science, engineering & technology
-
"Shape Estimation and Object Classification in Images Using Geometric Priors"
2006 ▪
-
"Statistical Shape Models Using Elastic-String Representations"
2006 ▪
Lecture notes in computer science
-
"Planar Shape Analysis and Its Applications in Image-Based Inferences"
2005 ▪
Springer eBooks
-
"Face recognition using optimal linear components of range images"
2005 ▪
Image and Vision Computing
-
"Tools for application-driven linear dimension reduction"
2005 ▪
Neurocomputing
-
"A Bayesian MRF framework for labeling terrain using hyperspectral imaging"
2005 ▪
IEEE Transactions on Geoscience and Remote Sensing
-
"Development of a sensor for automatic detection of downey mildew disease"
2005 ▪
-
"Statistical shape analysis: clustering, learning, and testing"
2005 ▪
IEEE Transactions on Pattern Analysis and Machine Intelligence
-
"3D curve interpolation and object reconstruction"
2005 ▪
-
"Elastic Shape Models for Interpolations of Curves in Image Sequences"
2005 ▪
Lecture notes in computer science
-
"Maximum-Likelihood Estimation of Biological Growth Variables"
2005 ▪
Lecture notes in computer science
-
"Statistical Models of Targets and Clutter for Use in Bayesian Object Recognition"
2005 ▪
Elsevier eBooks
-
"Statistical models on human shapes with application to bayesian image segmentation and gait recognition"
2005 ▪
-
"Elastic-string models for representation and analysis of planar shapes"
2004 ▪
-
"Some approaches to shape analysis"
2004 ▪
European Signal Processing Conference
-
"A geometric approach to shape clustering and learning'"
2004 ▪
-
"Efficient algorithms for inferences on grassmann manifolds"
2004 ▪
-
"Optimal linear representations of images for object recognition"
2004 ▪
IEEE Transactions on Pattern Analysis and Machine Intelligence
-
"Integrated learning of linear representations"
2004 ▪
-
"On intrinsic generalization of low dimensional representations of images for recognition"
2004 ▪
-
"Bayesian and geometric subspace tracking"
2004 ▪
Advances in Applied Probability
-
"Analysis of planar shapes using geodesic paths on shape spaces"
2004 ▪
IEEE Transactions on Pattern Analysis and Machine Intelligence
-
"Bayesian and geometric subspace tracking"
2004 ▪
Advances in Applied Probability
-
"Application-Driven Dimension Reduction"
2004 ▪
-
"Hierarchical Organization of Shapes for Efficient Retrieval"
2004 ▪
Lecture notes in computer science
-
"Interpolations with elasticae in Euclidean spaces"
2004 ▪
Quarterly of Applied Mathematics
-
"Learning and Bayesian Shape Extraction for Object Recognition"
2004 ▪
Lecture notes in computer science
-
"Geometric analysis of planar shapes using geodesic paths"
2003 ▪
-
"A computational geometric approach to shape analysis in images"
2003 ▪
Neural Information Processing Systems
-
"Optimal linear representations of images for object recognition"
2003 ▪
-
"A spectral representation for appearance-based classification and recognition"
2003 ▪
-
"Spaces and subspaces of images for recognition"
2003 ▪
-
"Statistical hypothesis pruning for identifying faces from infrared images"
2003 ▪
Image and Vision Computing
-
"An Integrated Learning Framework for Recognition Based on Images"
2003 ▪
-
"Statistical Search for Hierarchical Linear Optimal Representations of Images"
2003 ▪
-
"Intrinsic generalization analysis of low dimensional representations"
2003 ▪
Neural Networks
-
"Jump-diffusion processes on matrix Lie groups for Bayesian inference"
2003 ▪
-
"A geometric approach to shape clustering and learning"
2003 ▪
IEEE Signal Processing Workshop on Statistical Signal Processing
-
"A novel technique for face recognition using range imaging"
2003 ▪
-
"Efficient algorithms for inferences on Grassmann manifolds"
2003 ▪
IEEE Signal Processing Workshop on Statistical Signal Processing
-
"Geometric Analysis of Constrained Curves"
2003 ▪
Neural Information Processing Systems
-
"Geometric Analysis of Continuous, Planar Shapes"
2003 ▪
Lecture notes in computer science
-
"Learning Optimal Representations for Image Retrieval Applications"
2003 ▪
Lecture notes in computer science
-
"Stochastic Search for Optimal Linear Representations of Images on Spaces with Orthogonality Constraints"
2003 ▪
Lecture notes in computer science
-
"Untitled"
2003 ▪
Journal of Mathematical Imaging and Vision
-
"Jump-diffusion based sampling algorithm for target tracking and recognition"
2002 ▪
Anuj Srivastava;
Michael I. Miller;
J.A. O'Sullivan;
D.L. Snyder;
R.S. Teichman;
-
"Subspace tracking via rigid body dynamics"
2002 ▪
-
"Lie group parametrization for dynamics based prior in ATR"
2002 ▪
-
"Analysis of a frictional–kinetic model for gas–particle flow"
2002 ▪
Powder Technology
-
"Asymptotic probabilities in Bayesian target recognition"
2002 ▪
-
"Performance bounds for subspace estimation in array signal processing"
2002 ▪
-
"Gradient flows on projection matrices for subspace estimation"
2002 ▪
-
"3D object recognition using perceptual components"
2002 ▪
-
"A compact probability model for natural clutter"
2002 ▪
-
"Analytical models for reduced spectral representations of images"
2002 ▪
-
"Image segmentation using local spectral histograms"
2002 ▪
-
"A nonlinear filtering method for geometric subspace tracking"
2002 ▪
-
"Stochastic models for capturing image variability"
2002 ▪
IEEE Signal Processing Magazine
-
"Universal analytical forms for modeling image probabilities"
2002 ▪
IEEE Transactions on Pattern Analysis and Machine Intelligence
-
"Jump–diffusion Markov processes on orthogonal groups for object pose estimation"
2002 ▪
Journal of Statistical Planning and Inference
-
"Role of wall friction in fluidization and standpipe flow"
2002 ▪
Powder Technology
-
"Analysis of Planar Shapes Using Geodesic Lengths on a Shape Manifold"
2002 ▪
-
"Analytical Image Models and Their Applications"
2002 ▪
Lecture notes in computer science
-
"Monte Carlo extrinsic estimators of manifold-valued parameters"
2002 ▪
IEEE Transactions on Signal Processing
-
"Regression model for prediction of IR images"
2001 ▪
Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE
-
"Acquisition of Equipment for Research in Bayesian Automated Target Recognition"
2001 ▪
-
"Probability models for clutter in natural images"
2001 ▪
IEEE Transactions on Pattern Analysis and Machine Intelligence
-
"Monte Carlo Techniques for Automated Target Recognition"
2001 ▪
Springer eBooks
Anuj Srivastava;
Michael I. Miller;
U. Grenander;
Aaron D. Lanterman;
Marc Loizeaux;
-
"<title>Asymptotic analysis of pattern-theoretic object recognition</title>"
2000 ▪
Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE
-
"<title>Bayesian filtering for tracking pose and location of rigid targets</title>"
2000 ▪
Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE
-
"Asymptotic performance analysis of Bayesian target recognition"
2000 ▪
IEEE Transactions on Information Theory
-
"A Bayesian approach to geometric subspace estimation"
2000 ▪
IEEE Transactions on Signal Processing
-
"<title>Quadratic analysis of information measures for object recognition</title>"
1999 ▪
Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE
-
"Estimation of pose and location of ground targets for ATR"
1999 ▪
Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE
-
"Automatic battle damage assessment based on laser radar imagery"
1999 ▪
Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE
-
"Dynamics of gas-particle flow in circulating fluidized beds"
1998 ▪
Powder Technology
Anuj Srivastava;
Sankaran Sundaresan;
K. Agrawal;
Reddy S.B. Karri;
T. M. Knowlton;
-
"<title>MSTAR target classification using Bayesian pattern theory</title>"
1998 ▪
Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE
-
"<title>Metrics for target recognition</title>"
1998 ▪
Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE
-
"Hilbert-Schmidt lower bounds for estimators on matrix lie groups for ATR"
1998 ▪
IEEE Transactions on Pattern Analysis and Machine Intelligence
-
"<title>Accommodating geometric and thermodynamic variability for forward-looking infrared sensors</title>"
1997 ▪
Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE
-
"<title>Detection of multiple airborne targets from multisensor data</title>"
1995 ▪
Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE
-
"Automated Target Tracking and Recognition Using Jump-Diffusion Processes."
1995 ▪
-
"Multiple target direction of arrival tracking"
1995 ▪
IEEE Transactions on Signal Processing
-
"Conditional-mean estimation via jump-diffusion processes in multiple target tracking/recognition"
1995 ▪
IEEE Transactions on Signal Processing
-
"nal-Mean Estimation Via Jump-Diffusion ses in Multiple Target Tracking/Recognition"
1995 ▪
-
"Tracking Using a Random Sampling Algorithm *"
1993 ▪
IFAC Proceedings Volumes
-
"Image segmentation by a parallel, non-parametric histogram based clustering algorithm"
1990 ▪
Pattern Recognition
