Index for boes

Boes, J.L. * 1995: Liver Definition in CT Using a Population-Based Shape Model

Boes, U. * 1983: Linear Filtering in Image Sequences

Boesch, H.[Hartmut] * 2011: Global Characterization of CO2 Column Retrievals from Shortwave-Infrared Satellite Observations of the Orbiting Carbon Observatory-2 Mission
* 2016: Impact of Aerosol Property on the Accuracy of a CO2 Retrieval Algorithm from Satellite Remote Sensing
* 2016: Retrieving XCO2 from GOSAT FTS over East Asia Using Simultaneous Aerosol Information from CAI
* 2018: Observing Water Vapour in the Planetary Boundary Layer from the Short-Wave Infrared
* 2021: Monitoring Greenhouse Gases from Space

Boesch, M.[Mathew] * 2022: Location-Based Schemes for Mitigating Cyber Threats on Connected and Automated Vehicles: A Survey and Design Framework

Boesch, R.[Ruedi] * 2006: Saliency and semantic processing: Extracting forest cover from historical topographic maps
* 2007: Accuracy of Forest Parameters Derived from Medium Footprint Lidar under Operational Constraints
* 2007: Color- and Texture-Based Image Segmentation for Improved Forest Delineation
* 2010: Colors of the past: color image segmentation in historical topographic maps based on homogeneity
* 2011: Quantitative Comparison of Segmentation Results from ADS40 Images in Swiss NFI
* 2013: Model Based Automatic Segmentation of Tree Stems from Single Scan Data
* 2016: Comparison Of Digital Surface Models For Snow Depth Mapping With Uav And Aerial Cameras
* 2017: Accuracy Assessment of Digital Surface Models from Unmanned Aerial Vehicles' Imagery on Glaciers
* 2019: Mass Movements of An Alpine Rock Glacier
* 2021: Impact of Beam Diameter and Scanning Approach on Point Cloud Quality of Terrestrial Laser Scanning in Forests
Includes: Boesch, R.[Ruedi] Boesch, R.
10 for Boesch, R.

Boesch, T.[Thomas] * 2016: Orlando Project: A 28 nm FD-SOI Low Memory Embedded Neural Network ASIC, The

Boesche, N.[Nina] * 2016: EnGeoMAP 2.0: Automated Hyperspectral Mineral Identification for the German EnMAP Space Mission

Boesche, N.K.[Nina K.] * 2014: Reduction of Uncorrelated Striping Noise: Applications for Hyperspectral Pushbroom Acquisitions
* 2014: Spaceborne Mine Waste Mineralogy Monitoring in South Africa, Applications for Modern Push-Broom Missions: Hyperion/OLI and EnMAP/Sentinel-2
* 2015: Hyperspectral REE (Rare Earth Element) Mapping of Outcrops: Applications for Neodymium Detection
Includes: Boesche, N.K.[Nina K.] Boesche, N.K.[Nina Kristine]

Boese, A.[Axel] * 2020: Seizure prediction with cross-higher-order spectral analysis of EEG signals

Boese, J. * 2006: Towards Cardiac C-Arm Computed Tomography
* 2012: Automatic Aorta Segmentation and Valve Landmark Detection in C-Arm CT for Transcatheter Aortic Valve Implantation
* 2012: Interventional 4-D C-Arm CT Perfusion Imaging Using Interleaved Scanning and Partial Reconstruction Interpolation

Boesen, L.[Lars] * 2017: Computer Aided Detection of Prostate Cancer on Biparametric MRI Using a Quadratic Discriminant Model

Boesen, M.[Mikael] * 2008: General framework for unsupervised evaluation of quality of segmentation results

Boesen, M.P.[Mikael Ploug] * 2023: Multi-planar 3D knee MRI segmentation via UNet inspired architectures

Boesnach, I.[Ingo] * 2006: Composition of Complex Motion Models from Elementary Human Motions

Boeszoermenyi, L.[Laszlo] * 2000: Multi-Clip Query Optimization in Video Databases
* 2011: Image and video browsing with a cylindrical 3D storyboard

Index for "b"


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