Index for coch

Cochard, D.[David] * 2013: Building worlds with strokes

Coche, E. * 2005: Model-Guided Segmentation of Opacified Thorax Vessels

Cochener, B. * 2008: Optimal Wavelet Transform for the Detection of Microaneurysms in Retina Photographs
* 2010: Adaptive Nonseparable Wavelet Transform via Lifting and its Application to Content-Based Image Retrieval
* 2010: Retinopathy Online Challenge: Automatic Detection of Microaneurysms in Digital Color Fundus Photographs
* 2011: Case Retrieval in Medical Databases by Fusing Heterogeneous Information
* 2012: Fast Wavelet-Based Image Characterization for Highly Adaptive Image Retrieval
* 2014: Real-Time Segmentation and Recognition of Surgical Tasks in Cataract Surgery Videos
* 2015: Real-Time Task Recognition in Cataract Surgery Videos Using Adaptive Spatiotemporal Polynomials
7 for Cochener, B.

Cocherel, G. * 2020: Prediction-Aware Quality Enhancement of VVC Using CNN
* 2020: Study on the Impact of Training Data in CNN-Based Super-Resolution for Low Bitrate End-to-End Video Coding, A
Includes: Cocherel, G. Cocherel, G.[Gildas]

Cochet, A. * 2012: Nonsupervised Ranking of Different Segmentation Approaches: Application to the Estimation of the Left Ventricular Ejection Fraction From Cardiac Cine MRI Sequences
* 2014: mutual reference shape based on information theory, A
* 2021: Performance Evaluation and Compatibility Studies of a Compact Preclinical Scanner for Simultaneous PET/MR Imaging at 7 Tesla

Cochet, H.[Hubert] * 2014: Confidence-Based Training for Clinical Data Uncertainty in Image-Based Prediction of Cardiac Ablation Targets
* 2017: Prediction of Post-Ablation Outcome in Atrial Fibrillation Using Shape Parameterization and Partial Least Squares Regression
* 2017: VT Scan: Towards an Efficient Pipeline from Computed Tomography Images to Ventricular Tachycardia Ablation
* 2019: Deep Learning Formulation of ECGI for Data-Driven Integration of Spatiotemporal Correlations and Imaging Information
* 2019: Fully Automated Electrophysiological Model Personalisation Framework from CT Imaging
* 2021: In-Silico Analysis of the Influence of Pulmonary Vein Configuration on Left Atrial Haemodynamics and Thrombus Formation in a Large Cohort
* 2021: Scar-Related Ventricular Arrhythmia Prediction from Imaging Using Explainable Deep Learning
7 for Cochet, H.

Cochlin, L.E. * 2009: Functional Imaging of Tendon

Cochoff, S.M. * 2002: Likelihood maximization approach to image registration

Cochonneau, G.[Gerard] * 2019: Indirect Assessment of Sedimentation in Hydropower Dams Using MODIS Remote Sensing Images
Includes: Cochonneau, G.[Gerard] Cochonneau, G.[Gérard]

Cochran, D. * 1994: Phase and magnitude in normalized images
* 2011: Efficient Deterministic Compressed Sensing for Images with Chirps and Reed-Muller Codes
Includes: Cochran, D. Cochran, D.[Douglas]

Cochran, S. * 2017: Development of a Mechanical Scanning Device With High-Frequency Ultrasound Transducer for Ultrasonic Capsule Endoscopy
* 2021: Learning-Based Microultrasound System for the Detection of Inflammation of the Gastrointestinal Tract, A

Cochran, S.D. * 1985: Implementation of a Multiresolution Surface Reconstruction Algorithm
* 1987: Correcting Matches and Inferring Surface Patches in Passive Stereo
* 1987: Steps Toward Accurate Stereo Correspondence
* 1989: Accurate Surface Description for Binocular Stereo
* 1989: Accurate Surface Description for Binocular Stereo
* 1990: Surface Description from Binocular Stereo
* 1992: 3-D Surface Description from Binocular Stereo
* 1993: Research in Automated Analysis of Remotely Sensed Imagery
* 1994: Adaptive Vergence for the Stereo Matching of Oblique Imagery
* 1994: Adaptive Vergence for the Stereo Matching of Oblique Imagery
* 1994: Research in the Automated Analysis of Remotely Sensed Imagery: 1993-1994
* 1995: Adaptive Vergence for the Stereo Matching of Oblique Imagery
* 1996: Automatic Cartographic Feature Extraction Using Photogrammetric Principles
* 1996: Research in Automated Analysis of Remotely Sensed Imagery: 1994-1995
* 1996: Research in the Automated Analysis of Remotely Sensed Imagery: 1994-1995
* 1997: Research in the Automated Analysis of Remotely Sensed Imagery: 1995-1996
* 1998: Automated Cartographic Feature Attribution Using Panchromatic and Hyperspectral Imagery
* 1998: Automated Cartographic Feature Attribution Using Panchromatic and Hyperspectral Imagery
* 1998: Research in Image Understanding and Automated Cartography: 1997-1998
* 1998: Research in Image Understanding and Automated Cartography: 1997-1998
* 1999: Fusion of HYDICE Hyperspectral Data with Panchromatic Imagery for Cartographic Feature Extraction
* 2000: Performance Evaluation for Automatic Feature Extraction
Includes: Cochran, S.D. Cochran, S.D.[Steven Douglas] Cochran, S.D.[Steven D.]
22 for Cochran, S.D.

Cochrane, C.J. * 2015: Fast Classification Scheme in Raman Spectroscopy for the Identification of Mineral Mixtures Using a Large Database With Correlated Predictors, A
* 2020: FPGA-Based Signal Processor for FMCW Doppler Radar and Spectroscopy, An

Cochrane, J.M.[Jared M.] * 2022: Generalizing Imaging Through Scattering Media With Uncertainty Estimates

Cochrane, M.A.[Mark A.] * 2013: Ten-Year Landsat Classification of Deforestation and Forest Degradation in the Brazilian Amazon
* 2014: Decade Long, Multi-Scale Map Comparison of Fire Regime Parameters Derived from Three Publically Available Satellite-Based Fire Products: A Case Study in the Central African Republic, A
* 2017: Evaluation of Landsat-Based METRIC Modeling to Provide High-Spatial Resolution Evapotranspiration Estimates for Amazonian Forests
* 2019: Fire Frequency and Related Land-Use and Land-Cover Changes in Indonesia's Peatlands
* 2021: Detection of Fire Smoke Plumes Based on Aerosol Scattering Using VIIRS Data over Global Fire-Prone Regions
* 2022: Framework for Improving Wall-to-Wall Canopy Height Mapping by Integrating GEDI LiDAR, A

Index for "c"


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