Behzad Bozorgtabar

According to our database1, Behzad Bozorgtabar authored at least 74 papers between 2011 and 2024.

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Bibliography

2024
Self-supervised learning-based cervical cytology for the triage of HPV-positive women in resource-limited settings and low-data regime.
Comput. Biol. Medicine, February, 2024

Un-Mixing Test-Time Normalization Statistics: Combatting Label Temporal Correlation.
CoRR, 2024

2023
Weakly supervised joint whole-slide segmentation and classification in prostate cancer.
Medical Image Anal., October, 2023

CrIBo: Self-Supervised Learning via Cross-Image Object-Level Bootstrapping.
CoRR, 2023

Source-Free Open-Set Domain Adaptation for Histopathological Images via Distilling Self-Supervised Vision Transformer.
CoRR, 2023

Adaptive Similarity Bootstrapping for Self-Distillation.
CoRR, 2023

Self-Supervised Learning-Based Cervical Cytology Diagnostics in Low-Data Regime and Low-Resource Setting.
CoRR, 2023

ScoreNet: Learning Non-Uniform Attention and Augmentation for Transformer-Based Histopathological Image Classification.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Class Specific Feature Disentanglement and Text Embeddings for Multi-label Generalized Zero Shot CXR Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

AMAE: Adaptation of Pre-trained Masked Autoencoder for Dual-Distribution Anomaly Detection in Chest X-Rays.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

SaGTTA: Saliency Guided Test Time Augmentation for Medical Image Segmentation Across Vendor Domain Shift.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Adaptive Similarity Bootstrapping for Self-Distillation based Representation Learning.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

TeSLA: Test-Time Self-Learning With Automatic Adversarial Augmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

CrOC: Cross-View Online Clustering for Dense Visual Representation Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Attention-Conditioned Augmentations for Self-Supervised Anomaly Detection and Localization.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Self-rule to multi-adapt: Generalized multi-source feature learning using unsupervised domain adaptation for colorectal cancer tissue detection.
Medical Image Anal., 2022

Self-Supervised Generative Style Transfer for One-Shot Medical Image Segmentation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

OptTTA: Learnable Test-Time Augmentation for Source-Free Medical Image Segmentation Under Domain Shift.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

Unsupervised Domain Adaptation Using Feature Disentanglement and GCNs for Medical Image Classification.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Medical Image Super Resolution by Preserving Interpretable and Disentangled Features.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Anomaly Detection and Localization Using Attention-Guided Synthetic Anomaly and Test-Time Adaptation.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021
Self-Attentive Spatial Adaptive Normalization for Cross-Modality Domain Adaptation.
IEEE Trans. Medical Imaging, 2021

Self-Rule to Adapt: Generalized Multi-source Feature Learning Using Unsupervised Domain Adaptation for Colorectal Cancer Tissue Detection.
CoRR, 2021

Benefiting from Bicubically Down-Sampled Images for Learning Real-World Image Super-Resolution.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Self-Rule to Adapt: Learning Generalized Features from Sparsely-Labeled Data Using Unsupervised Domain Adaptation for Colorectal Cancer Tissue Phenotyping.
Proceedings of the Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany., 2021

Self-supervised Learning of Inter-label Geometric Relationships for Gleason Grade Segmentation.
Proceedings of the Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health, 2021

Self-supervised Multimodal Generalized Zero Shot Learning for Gleason Grading.
Proceedings of the Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health, 2021

Learning Whole-Slide Segmentation from Inexact and Incomplete Labels Using Tissue Graphs.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Self-Taught Semi-Supervised Anomaly Detection On Upper Limb X-Rays.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Test-Time Adaptation for Super-Resolution: You Only Need to Overfit on a Few More Images.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Medical Image Classification Using Generalized Zero Shot Learning.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

SOoD: Self-Supervised Out-of-Distribution Detection Under Domain Shift for Multi-Class Colorectal Cancer Tissue Types.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Quantifying Explainers of Graph Neural Networks in Computational Pathology.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
ExprADA: Adversarial domain adaptation for facial expression analysis.
Pattern Recognit., 2020

Benefiting from multitask learning to improve single image super-resolution.
Neurocomputing, 2020

Anomaly Detection on X-Rays Using Self-Supervised Aggregation Learning.
CoRR, 2020

Benefitting from Bicubically Down-Sampled Images for Learning Real-World Image Super-Resolution.
CoRR, 2020

Pathological Retinal Region Segmentation From OCT Images Using Geometric Relation Based Augmentation.
CoRR, 2020

Structure Preserving Stain Normalization of Histopathology Images Using Self Supervised Semantic Guidance.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

SALAD: Self-supervised Aggregation Learning for Anomaly Detection on X-Rays.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Divide-and-Rule: Self-Supervised Learning for Survival Analysis in Colorectal Cancer.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Pathological Retinal Region Segmentation From OCT Images Using Geometric Relation Based Augmentation.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
DermoNet: densely linked convolutional neural network for efficient skin lesion segmentation.
EURASIP J. Image Video Process., 2019

Learn to synthesize and synthesize to learn.
Comput. Vis. Image Underst., 2019

Informative sample generation using class aware generative adversarial networks for classification of chest Xrays.
Comput. Vis. Image Underst., 2019

Revisiting Few-Shot Learning for Facial Expression Recognition.
CoRR, 2019

Progressive Generative Adversarial Networks for Medical Image Super resolution.
CoRR, 2019

Image super-resolution using progressive generative adversarial networks for medical image analysis.
Comput. Medical Imaging Graph., 2019

SROBB: Targeted Perceptual Loss for Single Image Super-Resolution.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

SynDeMo: Synergistic Deep Feature Alignment for Joint Learning of Depth and Ego-Motion.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Using Photorealistic Face Synthesis and Domain Adaptation to Improve Facial Expression Analysis.
Proceedings of the 14th IEEE International Conference on Automatic Face & Gesture Recognition, 2019

G2-VER: Geometry Guided Model Ensemble for Video-based Facial Expression Recognition.
Proceedings of the 14th IEEE International Conference on Automatic Face & Gesture Recognition, 2019

Exploring Factors for Improving Low Resolution Face Recognition.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018
MSMCT: Multi-State Multi-Camera Tracker.
IEEE Trans. Circuits Syst. Video Technol., 2018

Image-Level Attentional Context Modeling Using Nested-Graph Neural Networks.
CoRR, 2018

Efficient Active Learning for Image Classification and Segmentation Using a Sample Selection and Conditional Generative Adversarial Network.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

2017
Skin lesion segmentation using deep convolution networks guided by local unsupervised learning.
IBM J. Res. Dev., 2017

Retinal Vasculature Segmentation Using Local Saliency Maps and Generative Adversarial Networks For Image Super Resolution.
CoRR, 2017

Image Super Resolution Using Generative Adversarial Networks and Local Saliency Maps for Retinal Image Analysis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Exploiting local and generic features for accurate skin lesions classification using clinical and dermoscopy imaging.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

Tree-loss function for training neural networks on weakly-labelled datasets.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

Investigating deep side layers for skin lesion segmentation.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

2016
Efficient multi-target tracking via discovering dense subgraphs.
Comput. Vis. Image Underst., 2016

Sparse Coding Based Skin Lesion Segmentation Using Dynamic Rule-Based Refinement.
Proceedings of the Machine Learning in Medical Imaging - 7th International Workshop, 2016

2015
Multi-level action detection via learning latent structure.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

2014
Joint sparsity-based robust visual tracking.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Discriminative Multi-Task Sparse Learning for Robust Visual Tracking Using Conditional Random Field.
Proceedings of the 2014 International Conference on Digital Image Computing: Techniques and Applications, 2014

Robust Visual Tracking via Rank-Constrained Sparse Learning.
Proceedings of the 2014 International Conference on Digital Image Computing: Techniques and Applications, 2014

Enhanced Laplacian Group Sparse Learning with Lifespan Outlier Rejection for Visual Tracking.
Proceedings of the Computer Vision - ACCV 2014, 2014

2013
Adaptive Multiple Component Metric Learning for Robust Visual Tracking.
Proceedings of the Neural Information Processing - 20th International Conference, 2013


Robust Visual Vocabulary Tracking Using Hierarchical Model Fusion.
Proceedings of the 2013 International Conference on Digital Image Computing: Techniques and Applications, 2013

2012
An Improved NN Training Scheme Using Two-Stage LDA Features for Face Recognition.
Proceedings of the Neural Information Processing - 19th International Conference, 2012

2011
A Genetic Programming-PCA Hybrid Face Recognition Algorithm.
J. Signal Inf. Process., 2011


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