Gopi, M.
* 2005: Capturing and View-Dependent Rendering of Billboard Models
* 2010: Automated analysis of remyelination therapy for spinal cord injury
* 2011: Automated cell classification and visualization for analyzing remyelination therapy
* 2011: Efficient cell segmentation and tracking of developing plant meristem
* 2014: Optimizing redundant-data clustering for interactive walkthrough applications
* 2016: Automatic Detection of Histological Artifacts in Mouse Brain Slice Images
* 2017: Optimally Redundant, Seek-Time Minimizing Data Layout for Interactive Rendering
* 2020: GAMesh: Guided and Augmented Meshing for Deep Point Networks
8 for Gopi, M.
Gopi, V.P.[Varun P.]
* 2013: CT image reconstruction based on combination of iterative reconstruction technique and total variation
* 2019: improved luminosity and contrast enhancement framework for feature preservation in color fundus images, An
* 2021: Facial Expression Recognition through person-wise regeneration of expressions using Auxiliary Classifier Generative Adversarial Network (AC-GAN) based model
Gopikakumari, R.
* 2013: Unsharp masking using quadratic filter for the enhancement of fingerprints in noisy background
* 2017: Sequency-based mapped real transform: properties and applications
* 2020: Optimisation of both classifier and fusion based feature set for static American sign language recognition
Gopinath, A.[Ajay]
* 2010: Reconstruction comparison and a composite segmentation method for electron tomography
* 2012: Generating a statistical shape model of the AIDS virus spike
* 2012: Shape-Based Regularization of Electron Tomographic Reconstruction
Includes: Gopinath, A.[Ajay] Gopinath, A.
Gopinath, D.
* 2020: Programmatic and Semantic Approach to Explaining and Debugging Neural Network Based Object Detectors, A
* 2021: MAAD: A Model and Dataset for Attended Awareness in Driving
* 2022: HMIway-env: A Framework for Simulating Behaviors and Preferences to Support Human-AI Teaming in Driving
* 2023: CIRCLE: Capture In Rich Contextual Environments
Includes: Gopinath, D. Gopinath, D.[Deepak]
Gopinath, K.
* 2019: HyperDense-Net: A Hyper-Densely Connected CNN for Multi-Modal Image Segmentation
* 2019: RETOUCH: The Retinal OCT Fluid Detection and Segmentation Benchmark and Challenge
* 2022: Learnable Pooling in Graph Convolutional Networks for Brain Surface Analysis
Includes: Gopinath, K. Gopinath, K.[Karthik]
Gopinath, K.A.[Kodigal A.]
* 2024: Mapping Leaf Area Index at Various Rice Growth Stages in Southern India Using Airborne Hyperspectral Remote Sensing
Gopinath, K.S.[Kaundinya S.]
* 2002: Using Prior Shapes in Geometric Active Contours in a Variational Framework
* 2006: Distortion Correction via Non-rigid Registration of Functional to Anatomical Magnetic Resonance Brain Images
* 2007: Brain Functional Localization: A Survey of Image Registration Techniques
* 2007: Kullback-Leibler Distance Optimization for Non-rigid Registration of Echo-Planar to Structural Magnetic Resonance Brain Images
* 2009: Two-stage registration of substrcutures in magnetic resonance brain images
* 2010: Comparison of atlas-based segmentation of subcortical structures in magnetic resonance brain images
* 2010: Symmetric deformable image registration via optimization of information theoretic measures
Includes: Gopinath, K.S.[Kaundinya S.] Gopinath, K.S.
7 for Gopinath, K.S.
Gopinath, M.P.
* 2023: Review on Rice Crop Disease Classification Using Computational Approach, A
Gopinath, R.A.
* 1994: Wavelet based speckle reduction with application to SAR based ATD/R
* 1994: Wavelet-based post-processing of low bit rate transform coded images
* 1995: On cosine-modulated wavelet orthonormal bases
Gopinath, S.[Sowmya]
* 2007: Statistical Approach for Intensity Loss Compensation of Confocal Microscopy Images, A
Gopinath, V.[Vaishnavi]
* 2021: Bounding Box Dataset Augmentation for Long-range Object Distance Estimation
Gopinathan, M.[Muraleekrishna]
* 2021: Indoor Semantic Scene Understanding Using 2D-3D Fusion
Gopir, G.
* 2016: Effect of the X5.4 Class Solar Flare Event of Solar Cycle 24 on the GPS Signal Reception in Peninsular Malaysia