Arun Krishnan

发表

Segmentation of pulmonary nodules of various densities with morphological approaches and convexity models

Marcos Salganicoff, Toshiro Kubota, Anna K. Jerebko, 2011, Medical Image Anal..

Exhaustive whole-genome tandem repeats search

Arun Krishnan, Francis Tang, 2004, Bioinform..

Robust Click-Point Linking for Longitudinal Follow-Up Studies

Xiang Zhou, Arun Krishnan, Xiaolei Huang, 2006, MIAR.

Proteins as networks: usefulness of graph theory in protein science.

Masaru Tomita, Alessandro Giuliani, Arun Krishnan, 2008, Current protein & peptide science.

Network scaling invariants help to elucidate basic topological principles of proteins.

Masaru Tomita, Alessandro Giuliani, Arun Krishnan, 2007, Journal of proteome research.

Semantics and CBIR: a medical imaging perspective

Sonja Zillner, Manuel Möller, Michael Sintek, 2008, CIVR '08.

Predicting allergenic proteins using wavelet transform

Arun Krishnan, Kuo-Bin Li, Praveen Issac, 2004, Bioinform..

A survey of life sciences applications on the grid

Arun Krishnan, A. Krishnan, 2009, New Generation Computing.

Robust Parametric Modeling Approach Based on Domain Knowledge for Computer Aided Detection of Vertebrae Column Metastases in MRI

Jinbo Bi, V. Anand, J. Liu, 2007, IPMI.

Blob segmentation using joint space-intensity likelihood ratio test: application to 3D tumor segmentation

Umut Akdemir, Arun Krishnan, Kazunori Okada, 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

GeNESiS: gene network evolution simulation software

Masaru Tomita, Arun Krishnan, Anton Kratz, 2008, BMC Bioinformatics.

Rapid detection of conserved regions in protein sequences using wavelets

Arun Krishnan, Kuo-Bin Li, Praveen Issac, 2004, Silico Biol..

pSLIP: SVM based protein subcellular localization prediction using multiple physicochemical properties

Arun Krishnan, Kuo-Bin Li, Deepak Sarda, 2005, BMC Bioinformatics.

An Entropy-based gene selection method for cancer classification using microarray data

Xiaoxing Liu, Arun Krishnan, Adrian Mondry, 2005, BMC Bioinformatics.

GEL: Grid execution language

Arun Krishnan, Francis Tang, Praveen Issac, 2005, J. Parallel Distributed Comput..

Validation of Compression-after-Impact Experiments Using ABAQUS Simulations

Arun Krishnan, Waruna Seneviratne, Shenal Perera, 2018 .

Evolution of gene regulatory networks: Robustness as an emergent property of evolution

Masaru Tomita, Alessandro Giuliani, Arun Krishnan, 2008 .

Mining Medical Images

Xiang Zhou, Murat Dundar, Jinbo Bi, 2009 .

Robust Pulmonary Nodule Segmentation in CT: Improving Performance for Juxtapleural Cases

Umut Akdemir, Visvanathan Ramesh, Maneesh Kumar Singh, 2005, MICCAI.

Hierarchical learning for tubular structure parsing in medical imaging: A study on coronary arteries using 3D CT Angiography

Jinbo Bi, Le Lu, Shipeng Yu, 2009, 2009 IEEE 12th International Conference on Computer Vision.

A Mobile Phone Controlled Remote Robot

Ramesh Bhakthavatchalu, Arun Krishnan, R. Harikrishnan, 2011 .

An Integrated Experimental and Numerical analysis on Notch and Interface Interaction in Same-materials

Arun Krishnan, L. Roy Xu, L. R. Xu, 2011 .

WebAllergen: a web server for predicting allergenic proteins

Arun Krishnan, Francis Tang, Kuo-Bin Li, 2005, Bioinform..

Implementing a Bioinformatics Workflow in a Parallel and Distributed Environment

Arun Krishnan, Francis Tang, Ching Lian Chua, 2004, PDCAT.

Protein subcellular localization prediction for Gram-negative bacteria using amino acid subalphabets and a combination of multiple support vector machines

Wing-Kin Sung, Arun Krishnan, Kuo-Bin Li, 2005, BMC Bioinformatics.

Robust anatomy detection from CT topograms

Yiqiang Zhan, Arun Krishnan, Xiang Sean Zhou, 2009, Medical Imaging.

Robust Learning-Based Annotation of Medical Radiographs

Jianhua Xuan, Arun Krishnan, Xiang Sean Zhou, 2009, MCBR-CDS.

Redundancy, redundancy, redundancy: the three keys to highly robust anatomical parsing in medical images

Yiqiang Zhan, Maneesh Dewan, Arun Krishnan, 2010, MIR '10.

Active Scheduling of Organ Detection and Segmentation in Whole-Body Medical Images

Yiqiang Zhan, Arun Krishnan, Xiang Sean Zhou, 2008, MICCAI.

A fast algorithm for body extraction in CT volumes

Arun Krishnan, Jonathan Stoeckel, Matthias Wolf, 2006, SPIE Medical Imaging.

Wildfire: distributed, Grid-enabled workflow construction and execution

Arun Krishnan, Francis Tang, Ching Lian Chua, 2004, BMC Bioinformatics.

CAD performance analysis for pulmonary nodule detection on thin-slice MDCT scans

Murat Dundar, Jinbo Bi, Hong Shen, 2005 .

Image Registration in Medical Imaging: Applications, Methods, and Clinical Evaluation

Gerardo Hermosillo, Marcos Salganicoff, Arun Krishnan, 2011 .

Stratified learning of local anatomical context for lung nodules in CT images

Kim L. Boyer, Jinbo Bi, Le Lu, 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

GridBLAST: a Globus-based high-throughput implementation of BLAST in a Grid computing framework: Research Articles

Arun Krishnan, 2005 .

Feasibility study of breast tomosynthesis CAD system

Joseph Y. Lo, Anna K. Jerebko, Arun Krishnan, 2007, SPIE Medical Imaging.

A Parallel Implementation of Gillespie's Direct Method

Arun Krishnan, Pawan Dhar, Azmi B. M. Ridwan, 2004, International Conference on Computational Science.

Interactive lesion segmentation on dynamic contrast enhanced breast MRI using a Markov model

Donald S. Fussell, Marcos Salganicoff, Arun Krishnan, 2006, SPIE Medical Imaging.

Conditional feature sensitivity: a unifying view on active recognition and feature selection

Dorin Comaniciu, Arun Krishnan, Xiang Sean Zhou, 2003, Proceedings Ninth IEEE International Conference on Computer Vision.

Panoramic image acquisition

Narendra Ahuja, Arun Krishnan, N. Ahuja, 1996, Proceedings CVPR IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

Reliability and Redundancy: Reducing Error Cost in Medical Imaging

Yiqiang Zhan, Maneesh Dewan, Arun Krishnan, 2011 .

An adaptive knowledge-driven medical image search engine for interactive diffuse parenchymal lung disease quantification

Jinbo Bi, Marcos Salganicoff, Arun Krishnan, 2009, Medical Imaging.

Large-scale dynamic gene regulatory network inference combining differential equation models with local dynamic Bayesian network analysis

Zheng Li, Jingdong Liu, Arun Krishnan, 2011, Bioinform..

Parallel Computing Platform for the Agent-Based Modeling of Multicellular Biological Systems

Arun Krishnan, Francis Tang, Andrew B. Goryachev, 2004, PDCAT.

Tiltable Stabilizer for Handicapped Personals

Arun Krishnan, Ruben Raj Mathew, Nithin K Rajan, 2019 .

Beyond String Algorithms: Protein Sequence Analysis Using Wavelet Transforms

Arun Krishnan, Kuo-Bin Li, A. Krishnan, 2007, Analysis of Biological Data: A Soft Computing Approach.

A Universal Machine File Format for MPI Jobs

Arun Krishnan, Francis Tang, Chua Ching Lian, 2004, PDCAT.

CMDWave: Conserved Motifs Detection Using Wavelets

Arun Krishnan, Francis Tang, Kuo-Bin Li, 2005, Silico Biol..

Grid Cellware: the first grid-enabled tool for modelling and simulating cellular processes

Hao Zhu, Arun Krishnan, Li Ye, 2005, Bioinform..

Use of a nonfrontal camera for extended depth of field in wide scenes

Narendra Ahuja, Arun Krishnan, 1993, Other Conferences.

An information theoretic view of the scheduling problem in whole-body CAD

Yiqiang Zhan, Arun Krishnan, Xiang Sean Zhou, 2008, SPIE Medical Imaging.

Distributed Workflows in Bioinformatics

Arun Krishnan, 2005 .

CAD for polyp detection: an invaluable tool to meet the increasing need for colon-cancer screening

Murat Dundar, Alok Gupta, Glenn Fung, 2004, CARS.

A Robust Algorithm for Characterizing Anisotropic Local Structures

Dorin Comaniciu, Arun Krishnan, Kazunori Okada, 2004, ECCV.

Hierarchical Segmentation and Identification of Thoracic Vertebra Using Learning-Based Edge Detection and Coarse-to-Fine Deformable Model

Jun Ma, Le Lu, Marcos Salganicoff, 2010, MICCAI.

Robust 3D Segmentation of Pulmonary Nodules in Multislice CT Images

Dorin Comaniciu, Arun Krishnan, Kazunori Okada, 2004, MICCAI.

Adaptive contrast-based computer aided detection for pulmonary embolism

Marcos Salganicoff, Laks Raghupathi, Arun Krishnan, 2009, Medical Imaging.

GridBLAST: a Globus‐based high‐throughput implementation of BLAST in a Grid computing framework

Arun Krishnan, 2005, Concurr. Comput. Pract. Exp..

Optimization of image quality for DSA warping registration

Arun Krishnan, David L. Wilson, Ashoke S. Talukdar, 1999, Medical Imaging.

Multiresolution Analysis Uncovers Hidden Conservation of Properties in Structurally and Functionally Similar Proteins

Masaru Tomita, Arun Krishnan, Kuo-Bin Li, 2006, J. Bioinform. Comput. Biol..

Warped matching for digital subtraction of CT-angiography studies

Arun Krishnan, Sumitro Samaddar, Ali R. Bani-Hashemi, 1996, Medical Imaging.

Robust anisotropic Gaussian fitting for volumetric characterization of Pulmonary nodules in multislice CT

Dorin Comaniciu, Arun Krishnan, Kazunori Okada, 2005, IEEE Transactions on Medical Imaging.

Robust Automatic Knee MR Slice Positioning Through Redundant and Hierarchical Anatomy Detection

Yiqiang Zhan, Maneesh Dewan, Arun Krishnan, 2011, IEEE Transactions on Medical Imaging.

Reduction of lymph tissue false positives in pulmonary embolism detection

Bernard Ghanem, Jinbo Bi, Marcos Salganicoff, 2008, Medical Imaging: Computer-Aided Diagnosis.

Analytics Performance Load Test

Harsh K. Verma, Arun Krishnan, Sivasubramanian, 2017 .

Lung Nodule Detection

Jinbo Bi, Marcos Salganicoff, Anna K. Jerebko, 2010, ImageCLEF.

Range estimation from focus using a non-frontal imaging camera

Narendra Ahuja, Arun Krishnan, N. Ahuja, 1993, International Journal of Computer Vision.

Multi-level Ground Glass Nodule Detection and Segmentation in CT Lung Images

Jianhua Xuan, Le Lu, Marcos Salganicoff, 2009, MICCAI.

Robust Learning-Based Parsing and Annotation of Medical Radiographs

Arun Krishnan, Xiang Sean Zhou, Zhigang Peng, 2011, IEEE Transactions on Medical Imaging.

Scale selection for anisotropic scale-space: application to volumetric tumor characterization

Dorin Comaniciu, Arun Krishnan, Kazunori Okada, 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..

A Design and implementation of an intelligent performance optimized low power scheduled alarm system using Embedded Microcontroller

Ramesh Bhakthavatchalu, Arun Krishnan, R. Harikrishnan, 2011 .

Automatic localization of lung opacity in chest CT images: a real-world study

Deepta Rajan, David Beymer, Arun Krishnan, 2021, Medical Imaging.

Bug classification using machine and Deep Learning Algorithms

Arun Krishnan, Aishwarya Jayagopal, R. Kaushik, 2021 .

Scale selection for anisotropic scale-space: application to volumetric tumor characterization

Dorin Comaniciu, Arun Krishnan, Kazunori Okada, 2004, CVPR 2004.

Indeterminacy of Reverse Engineering of Gene Regulatory Networks: The Curse of Gene Elasticity

Masaru Tomita, Alessandro Giuliani, Arun Krishnan, 2007, PloS one.

A topologically related singularity suggests a maximum preferred size for protein domains

Alessandro Giuliani, Kristian Rother, Arun Krishnan, 2006, Proteins.

Implications from a Network-Based Topological Analysis of Ubiquitin Unfolding Simulations

Masaru Tomita, Alessandro Giuliani, Arun Krishnan, 2008, PloS one.