Reza Azad

Orcid: 0000-0002-4772-2161

According to our database1, Reza Azad authored at least 51 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Advances in medical image analysis with vision Transformers: A comprehensive review.
Medical Image Anal., January, 2024

Enhancing Efficiency in Vision Transformer Networks: Design Techniques and Insights.
CoRR, 2024

INCODE: Implicit Neural Conditioning with Prior Knowledge Embeddings.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Beyond Self-Attention: Deformable Large Kernel Attention for Medical Image Segmentation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023
Diffusion models in medical imaging: A comprehensive survey.
Medical Image Anal., August, 2023

SegPC-2021: A challenge & dataset on segmentation of Multiple Myeloma plasma cells from microscopic images.
Medical Image Anal., 2023

Continual Learning in Medical Imaging Analysis: A Comprehensive Review of Recent Advancements and Future Prospects.
CoRR, 2023

Loss Functions in the Era of Semantic Segmentation: A Survey and Outlook.
CoRR, 2023

FuseNet: Self-Supervised Dual-Path Network for Medical Image Segmentation.
CoRR, 2023

Leveraging Unlabeled Data for 3D Medical Image Segmentation through Self-Supervised Contrastive Learning.
CoRR, 2023

HCA-Net: Hierarchical Context Attention Network for Intervertebral Disc Semantic Labeling.
CoRR, 2023

Foundational Models in Medical Imaging: A Comprehensive Survey and Future Vision.
CoRR, 2023

Enhancing Medical Image Segmentation with TransCeption: A Multi-Scale Feature Fusion Approach.
CoRR, 2023

HiFormer: Hierarchical Multi-scale Representations Using Transformers for Medical Image Segmentation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Unlocking Fine-Grained Details with Wavelet-Based High-Frequency Enhancement in Transformers.
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

MMCFormer: Missing Modality Compensation Transformer for Brain Tumor Segmentation.
Proceedings of the Medical Imaging with Deep Learning, 2023

MS-Former: Multi-Scale Self-Guided Transformer for Medical Image Segmentation.
Proceedings of the Medical Imaging with Deep Learning, 2023

Self-supervised Few-Shot Learning for Semantic Segmentation: An Annotation-Free Approach.
Proceedings of the Predictive Intelligence in Medicine - 6th International Workshop, 2023

DermoSegDiff: A Boundary-Aware Segmentation Diffusion Model for Skin Lesion Delineation.
Proceedings of the Predictive Intelligence in Medicine - 6th International Workshop, 2023

Laplacian-Former: Overcoming the Limitations of Vision Transformers in Local Texture Detection.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

DAE-Former: Dual Attention-Guided Efficient Transformer for Medical Image Segmentation.
Proceedings of the Predictive Intelligence in Medicine - 6th International Workshop, 2023

Attention Swin U-Net: Cross-Contextual Attention Mechanism for Skin Lesion Segmentation.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Implicit Neural Representation in Medical Imaging: A Comparative Survey.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Self-supervised Semantic Segmentation: Consistency over Transformation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

End-to-End Classification of Cell-Cycle Stages with Center-Cell Focus Tracker Using Recurrent Neural Networks.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Medical Image Segmentation Review: The success of U-Net.
CoRR, 2022

Diffusion Models for Medical Image Analysis: A Comprehensive Survey.
CoRR, 2022

Medical Image Segmentation on MRI Images with Missing Modalities: A Review.
CoRR, 2022

TransNorm: Transformer Provides a Strong Spatial Normalization Mechanism for a Deep Segmentation Model.
IEEE Access, 2022

SMU-Net: Style matching U-Net for brain tumor segmentation with missing modalities.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

Contextual Attention Network: Transformer Meets U-Net.
Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022

TransDeepLab: Convolution-Free Transformer-Based DeepLab v3+ for Medical Image Segmentation.
Proceedings of the Predictive Intelligence in Medicine - 5th International Workshop, 2022

Intervertebral Disc Labeling with Learning Shape Information, a Look once Approach.
Proceedings of the Predictive Intelligence in Medicine - 5th International Workshop, 2022

2021
A critical study of the existing issues in manufacturing maintenance systems: Can BIM fill the gap?
Comput. Ind., 2021

On the Texture Bias for Few-Shot CNN Segmentation.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Stacked Hourglass Network with a Multi-level Attention Mechanism: Where to Look for Intervertebral Disc Labeling.
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

Deep Frequency Re-calibration U-Net for Medical Image Segmentation.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Multi-scale Regional Attention Deeplab3+: Multiple Myeloma Plasma Cells Segmentation in Microscopic Images.
Proceedings of the MICCAI Workshop on Computational Pathology, 2021

2020
Semi-supervised few-shot learning for medical image segmentation.
CoRR, 2020

Multi-level Context Gating of Embedded Collective Knowledge for Medical Image Segmentation.
CoRR, 2020

Attention Deeplabv3+: Multi-level Context Attention Mechanism for Skin Lesion Segmentation.
Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

2019
Dynamic 3D Hand Gesture Recognition by Learning Weighted Depth Motion Maps.
IEEE Trans. Circuits Syst. Video Technol., 2019

Bi-Directional ConvLSTM U-Net with Densley Connected Convolutions.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

2014
New Method for Optimization of License Plate Recognition system with Use of Edge Detection and Connected Component.
CoRR, 2014

Novel and Tuneable Method for Skin Detection Based on Hybrid Color Space and Color Statistical Features.
CoRR, 2014

Novel and Automatic Parking Inventory System Based on Pattern Recognition and Directional Chain Code.
CoRR, 2014

A robust and adaptable method for face detection based on Color Probabilistic Estimation Technique.
CoRR, 2014

Real-Time and Efficient Method for Accuracy Enhancement of Edge Based License Plate Recognition System.
CoRR, 2014

Real-Time Human-Computer Interaction Based on Face and Hand Gesture Recognition.
CoRR, 2014

Real-Time and Robust Method for Hand Gesture Recognition System Based on Cross-Correlation Coefficient.
CoRR, 2014

Optimized Method for Iranian Road Signs Detection and recognition system.
CoRR, 2014


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