Amirhossein Kazerouni

Orcid: 0000-0002-3155-4407

According to our database1, Amirhossein Kazerouni authored at least 20 papers between 2021 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

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

SUM: Saliency Unification through Mamba for Visual Attention Modeling.
CoRR, 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

Fusenet: Self-Supervised Dual-Path Network For Medical Image Segmentation.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

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

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

An intelligent modular real-time vision-based system for environment perception.
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

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

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

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

2021
Ensemble Neural Representation Networks.
CoRR, 2021


  Loading...