Sabuj, M.S.[Mir Shahriar]
* 2017: Opinion Mining Using Support Vector Machine with Web Based Diverse Data
Sabuncu, A.
* 2016: Detection Of Coastline Deformation Using Remote Sensing And Geodetic Surveys
* 2016: Preliminary Results Of Earthquake-induced Building Damage Detection With Object-based Image Classification
Sabuncu, M.
* 2020: Synthetic Learning: Learn From Distributed Asynchronized Discriminator GAN Without Sharing Medical Image Data
Sabuncu, M.R.
* 2004: Fast alignment of digital images using a lower bound on an entropy metric
* 2007: Robust Algorithm for Fiber-Bundle Atlas Construction, A
* 2007: What Data to Co-register for Computing Atlases
* 2008: Using Spanning Graphs for Efficient Image Registration
* 2009: Consistency Clustering: A Robust Algorithm for Group-wise Registration, Segmentation and Automatic Atlas Construction in Diffusion MRI
* 2009: Image-Driven Population Analysis Through Mixture Modeling
* 2010: Generative Model for Image Segmentation Based on Label Fusion, A
* 2010: Learning Task-Optimal Registration Cost Functions for Localizing Cytoarchitecture and Function in the Cerebral Cortex
* 2010: Spherical Demons: Fast Diffeomorphic Landmark-Free Surface Registration
* 2012: Generative Model for Probabilistic Label Fusion of Multimodal Data, A
* 2012: Relevance Voxel Machine (RVoxM): A Self-Tuning Bayesian Model for Informative Image-Based Prediction, The
* 2013: On Removing Interpolation and Resampling Artifacts in Rigid Image Registration
* 2016: Probabilistic Modeling of Imaging, Genetics and Diagnosis
* 2018: Anatomical Priors in Convolutional Networks for Unsupervised Biomedical Segmentation
* 2018: Unsupervised Learning Model for Deformable Medical Image Registration, An
* 2019: Medical Image Imputation From Image Collections
* 2019: VoxelMorph: A Learning Framework for Deformable Medical Image Registration
* 2021: Ensembling Low Precision Models for Binary Biomedical Image Segmentation
* 2021: Real-Time Uncertainty Estimation in Computer Vision via Uncertainty-Aware Distribution Distillation
* 2022: Hyper-Convolution Networks for Biomedical Image Segmentation
* 2023: UniverSeg: Universal Medical Image Segmentation
* 2024: Robust Learning via Conditional Prevalence Adjustment
Includes: Sabuncu, M.R. Sabuncu, M.R.[Mert R.] Sabuncu, M.R.[Mert Rory]
22 for Sabuncu, M.R.
Sabuncu, O.[Ozlem]
* 2023: powerful probabilistic model for noise analysis in medical images, A
Includes: Sabuncu, O.[Ozlem] Sabuncu, Ö.[Özlem]
Saburi, K.[Kinjiro]
* 1980: Structural Description of Regularly Arranged Textures, A
* 1982: Structural Analyzer for Regularly Arranged Textures, A