Bozoglu, N.
* 2013: Application of Radial Ray Based Segmentation to Cervical Lymph Nodes in CT Images
Bozok, A.[Anastasia]
* 2016: Joint Segmentation of Myocardium on Rest and Stress Spect Images
Bozoki, A.[Andrea]
* 2024: Federated learning for medical image analysis: A survey
Bozoki, S.
* 1997: Scene Adaptive Rate Control in a Distributed Parallel MPEG Video Encoder
* 1998: Transcoding of MPEG video using lattice vector quantization
Bozorgi, M.
* 2019: Spatiotemporal Monitoring of Thermal Environment in Isfahan Metropolitan Area
Bozorgi, P.[Parisa]
* 2021: Analysis of Geotagging Behavior: Do Geotagged Users Represent the Twitter Population?
Bozorgmehr, R.[Rama]
* 2024: Differentiation of COVID-19 pneumonia from other lung diseases using CT radiomic features and machine learning: A large multicentric cohort study
Bozorgpour, I.A.[I Afshin]
* 2021: Deep Frequency Re-calibration U-Net for Medical Image Segmentation
Bozorgtabar, B.[Behzad]
* 2013: Robust Visual Vocabulary Tracking Using Hierarchical Model Fusion
* 2013: Visual Object Tracking VOT2013 Challenge Results, The
* 2014: Discriminative Multi-Task Sparse Learning for Robust Visual Tracking Using Conditional Random Field
* 2014: Enhanced Laplacian Group Sparse Learning with Lifespan Outlier Rejection for Visual Tracking
* 2014: Joint sparsity-based robust visual tracking
* 2014: Robust Visual Tracking via Rank-Constrained Sparse Learning
* 2015: Multi-level action detection via learning latent structure
* 2016: Efficient multi-target tracking via discovering dense subgraphs
* 2016: Sparse Coding Based Skin Lesion Segmentation Using Dynamic Rule-Based Refinement
* 2018: MSMCT: Multi-State Multi-Camera Tracker
* 2019: Informative sample generation using class aware generative adversarial networks for classification of chest Xrays
* 2019: Learn to synthesize and synthesize to learn
* 2019: SROBB: Targeted Perceptual Loss for Single Image Super-Resolution
* 2019: SynDeMo: Synergistic Deep Feature Alignment for Joint Learning of Depth and Ego-Motion
* 2020: ExprADA: Adversarial domain adaptation for facial expression analysis
* 2020: Pathological Retinal Region Segmentation From OCT Images Using Geometric Relation Based Augmentation
* 2021: Benefiting from Bicubically Down-Sampled Images for Learning Real-World Image Super-Resolution
* 2021: Medical Image Classification Using Generalized Zero Shot Learning
* 2021: Quantifying Explainers of Graph Neural Networks in Computational Pathology
* 2021: Self-Attentive Spatial Adaptive Normalization for Cross-Modality Domain Adaptation
* 2021: SOoD: Self-Supervised Out-of-Distribution Detection Under Domain Shift for Multi-Class Colorectal Cancer Tissue Types
* 2021: Test-Time Adaptation for Super-Resolution: You Only Need to Overfit on a Few More Images
* 2022: Medical Image Super Resolution by Preserving Interpretable and Disentangled Features
* 2022: Self-Supervised Generative Style Transfer for One-Shot Medical Image Segmentation
* 2022: Unsupervised Domain Adaptation Using Feature Disentanglement and Gcns for Medical Image Classification
* 2023: Adaptive Similarity Bootstrapping for Self-Distillation based Representation Learning
* 2023: CrOC: Cross-View Online Clustering for Dense Visual Representation Learning
* 2023: ScoreNet: Learning Non-Uniform Attention and Augmentation for Transformer-Based Histopathological Image Classification
* 2023: TeSLA: Test-Time Self-Learning With Automatic Adversarial Augmentation
Includes: Bozorgtabar, B.[Behzad] Bozorgtabar, B.
29 for Bozorgtabar, B.
Bozovi?, P.[Predrag]
* 2024: Vineyard Zoning and Vine Detection Using Machine Learning in Unmanned Aerial Vehicle Imagery
Includes: Bozovi?, P.[Predrag] Božovi?, P.[Predrag]