Dam Hansen, C.[Carsten]
* 2019: Unmanned Aerial System multispectral mapping for low and variable solar irradiance conditions: Potential of tensor decomposition
Includes: Dam Hansen, C.[Carsten] Dam-Hansen, C.[Carsten]
Dam, B.
* 1995: Foreground/background segmentation of color images by integration of multiple cues
Dam, E.
* 2004: Integrating automatic and interactive brain tumor segmentation
Dam, E.B.[Erik B.]
* 2001: Exploring nonlinear diffusion: the diffusion echo
* 2003: Approximating Non-linear Diffusion
* 2005: Combining Binary Classifiers for Automatic Cartilage Segmentation in Knee MRI
* 2007: Segmenting Articular Cartilage Automatically Using a Voxel Classification Approach
* 2008: Efficient Segmentation by Sparse Pixel Classification
* 2011: Maximum a Posteriori Estimation of Linear Shape Variation With Application to Vertebra and Cartilage Modeling
* 2011: Texture Analysis by a PLS Based Method for Combined Feature Extraction and Selection
* 2012: Automatic Quantification of Tibio-Femoral Contact Area and Congruity
* 2013: Linear feature selection in texture analysis: A PLS based method
* 2023: Comprehensive Multimodal Segmentation in Medical Imaging: Combining YOLOv8 with SAM and HQ-SAM Models
* 2023: Multi-planar 3D knee MRI segmentation via UNet inspired architectures
Includes: Dam, E.B.[Erik B.] Dam, E.B. Dam, E.B.[Erik Bjørnager]
11 for Dam, E.B.
Dam, H.H.
* 2000: FIR filter design over discrete coefficients and least square error
* 2014: Design of Variable Fractional Delay Filter with Fractional Delay Constraints
* 2015: Design of Allpass Variable Fractional Delay Filter with Powers-of-Two Coefficients
* 2015: Fast Low Complexity Method for Optimal Zero-Forcing Beamformer MU-MIMO System, A
* 2017: Optimal Design of Oversampled Modulated Filter Bank
Includes: Dam, H.H. Dam, H.H.[Hai Huyen]
Dam, L.T.[Lam Truong]
* 2021: Real-time and Robust System for Counting Movement-Specific Vehicle at Crowded Intersections
Includes: Dam, L.T.[Lam Truong] Dam, L.T.[Lam-Truong]
Dam, N.[Nhan]
* 2015: Realtime Face Verification with Lightweight Convolutional Neural Networks
* 2016: Clustering for point pattern data
* 2016: Model-Based Classification and Novelty Detection for Point Pattern Data
* 2018: Model-based learning for point pattern data
Dam, T.[Tanmoy]
* 2022: Improving Self-Supervised Learning for Out-Of-Distribution Task via Auxiliary Classifier
* 2022: Latent Preserving Generative Adversarial Network for Imbalance Classification
* 2024: HELA-VFA: A Hellinger Distance-Attention-based Feature Aggregation Network for Few-Shot Classification