Piel, A.K.[Alex K.]
* 2023: Using Drones to Determine Chimpanzee Absences at the Edge of Their Distribution in Western Tanzania
Piela, M.[Michal]
* 2022: Modified Spatio-Temporal Matched Filtering for Brain Responses Classification
Pielka, M.[Maren]
* 2021: Tackling Contradiction Detection in German Using Machine Translation and End-to-End Recurrent Neural Networks
Piella, G.
* 2001: Adaptive Update Lifting Scheme with Perfect Reconstruction, An
* 2002: Gradient-driven update lifting for adaptive wavelets
* 2003: new quality metric for image fusion, A
* 2003: Quantization of adaptive 2D wavelet decompositions
* 2005: Adaptive Lifting Schemes Combining Seminorms for Lossless Image Compression
* 2005: Gradient-driven update lifting for adaptive wavelets
* 2006: Combining Seminorms in Adaptive Lifting Schemes and Applications to Image Analysis and Compression
* 2006: Modified M-Band Synthesis Filter Bank for Fractional Scalability of Images
* 2007: Three-Step Nonlinear Lifting Scheme for Lossless Image Compression, A
* 2009: Image Fusion for Enhanced Visualization: A Variational Approach
* 2011: Cardiac Deformation from Electro-Anatomical Mapping Data: Application to Scar Characterization
* 2011: Multiview Diffeomorphic Registration for Motion and Strain Estimation from 3D Ultrasound Sequences
* 2013: 3D Strain Assessment in Ultrasound (Straus): A Synthetic Comparison of Five Tracking Methodologies
* 2014: Adaptive Multiscale Similarity Measure for Non-rigid Registration, An
* 2014: Improved Myocardial Motion Estimation Combining Tissue Doppler and B-Mode Echocardiographic Images
* 2015: Characterization of Myocardial Velocities by Multiple Kernel Learning: Application to Heart Failure with Preserved Ejection Fraction
* 2015: Learning and Combining Image Similarities for Neonatal Brain Population Studies
* 2016: Building an Ensemble of Complementary Segmentation Methods by Exploiting Probabilistic Estimates
* 2016: Integration of Multi-Plane Tissue Doppler and B-Mode Echocardiographic Images for Left Ventricular Motion Estimation
* 2016: Statistical Shape Model with Random Walks for Inner Ear Segmentation
* 2017: Characterizing Patterns of Response During Mild Stress-Testing in Continuous Echocardiography Recordings Using a Multiview Dimensionality Reduction Technique
* 2018: Quantitative Comparison of Methods for 3D Face Reconstruction from 2D Images, A
* 2018: Random walks with statistical shape prior for cochlea and inner ear segmentation in micro-CT images
* 2020: Deep Q-CapsNet Reinforcement Learning Framework for Intrauterine Cavity Segmentation in TTTS Fetal Surgery Planning
* 2020: Spectral Correspondence Framework for Building a 3D Baby Face Model
* 2020: TTTS-STgan: Stacked Generative Adversarial Networks for TTTS Fetal Surgery Planning Based on 3D Ultrasound
* 2023: BabyNet: Reconstructing 3D faces of babies from uncalibrated photographs
* 2026: Deep learnable spectral decomposition of 3D baby faces
Includes: Piella, G. Piella, G.[Gemma]
28 for Piella, G.
Pielmeier, C.
* 2013: Automatic Grain Type Classification of Snow Micro Penetrometer Signals With Random Forests
Pielot, R.
* 2001: 3D Edge Detection to Define Landmarks for Point-based Warping in Brain Imaging
* 2002: Performance of 3D landmark detection methods for point-based warping in autoradiographic brain imaging
* 2009: Inter-modality registration of NMRi and histological section images using neural networks regression in Gabor feature space