Reza Azad

Joseph Paul Cohen

Ehsan Adeli

IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Advances in medical image analysis with vision Transformers: A comprehensive review.

[BibT_eX]

[DOI]

Medical Image Anal., January, 2024

Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation?

[BibT_eX]

[DOI]

CoRR, 2024

Single-Layer Learnable Activation for Implicit Neural Representation (SL<sup>2</sup>A-INR).

[BibT_eX]

[DOI]

Hamid Soltanian-Zadeh

Ilker Hacihaliloglu

CoRR, 2024

MSA2Net: Multi-scale Adaptive Attention-guided Network for Medical Image Segmentation.

[BibT_eX]

[DOI]

Sina Ghorbani Kolahi

Seyed Kamal Chaharsooghi

CoRR, 2024

Computation-Efficient Era: A Comprehensive Survey of State Space Models in Medical Image Analysis.

[BibT_eX]

[DOI]

Sina Ghorbani Kolahi

CoRR, 2024

LHU-Net: A Light Hybrid U-Net for Cost-Efficient, High-Performance Volumetric Medical Image Segmentation.

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

Ilker Hacihaliloglu

CoRR, 2024

INCODE: Implicit Neural Conditioning with Prior Knowledge Embeddings.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Beyond Self-Attention: Deformable Large Kernel Attention for Medical Image Segmentation.

[BibT_eX]

[DOI]

Leon Niggemeier

Michael Hüttemann

Yury Velichko

Ulas Bagci

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Self-Supervised Contrastive Learning for Consistent Few-Shot Image Representations.

[BibT_eX]

[DOI]

Proceedings of the Predictive Intelligence in Medicine - 7th International Workshop, 2024

Fusenet: Self-Supervised Dual-Path Network For Medical Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Leveraging Unlabeled Data for 3D Medical Image Segmentation Through Self-Supervised Contrastive Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

HCA-NET: Hierarchical Context Attention Network for Intervertebral Disc Semantic Labeling.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

Diffusion models in medical imaging: A comprehensive survey.

[BibT_eX]

[DOI]

Medical Image Anal., August, 2023

SegPC-2021: A challenge & dataset on segmentation of Multiple Myeloma plasma cells from microscopic images.

[BibT_eX]

[DOI]

Medical Image Anal., 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

Yuli Wu

Anke Schmeink

CoRR, 2023

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

[BibT_eX]

[DOI]

Islem Rekik

CoRR, 2023

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

[BibT_eX]

[DOI]

Yiwei Jia

CoRR, 2023

HiFormer: Hierarchical Multi-scale Representations Using Transformers for Medical Image Segmentation.

[BibT_eX]

[DOI]

Milad Soltany Kadarvish

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.

[BibT_eX]

[DOI]

Alaa Sulaiman

Afshin Bozorgpour

Abin Jose

Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

MMCFormer: Missing Modality Compensation Transformer for Brain Tumor Segmentation.

[BibT_eX]

[DOI]

Saeed Ebadollahi

Proceedings of the Medical Imaging with Deep Learning, 2023

MS-Former: Multi-Scale Self-Guided Transformer for Medical Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging with Deep Learning, 2023

Self-supervised Few-Shot Learning for Semantic Segmentation: An Annotation-Free Approach.

[BibT_eX]

[DOI]

Proceedings of the Predictive Intelligence in Medicine - 6th International Workshop, 2023

DermoSegDiff: A Boundary-Aware Segmentation Diffusion Model for Skin Lesion Delineation.

[BibT_eX]

[DOI]

Afshin Bozorgpour

Yousef Sadegheih

Proceedings of the Predictive Intelligence in Medicine - 6th International Workshop, 2023

Laplacian-Former: Overcoming the Limitations of Vision Transformers in Local Texture Detection.

[BibT_eX]

[DOI]

Yury Velichko

Ulas Bagci

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

DAE-Former: Dual Attention-Guided Efficient Transformer for Medical Image Segmentation.

[BibT_eX]

[DOI]

René Arimond

Proceedings of the Predictive Intelligence in Medicine - 6th International Workshop, 2023

Attention Swin U-Net: Cross-Contextual Attention Mechanism for Skin Lesion Segmentation.

[BibT_eX]

[DOI]

Maral Zarvani

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Implicit Neural Representation in Medical Imaging: A Comparative Survey.

[BibT_eX]

[DOI]

Amirali Molaei

Amirhossein Aminimehr

Armin Tavakoli

Bobby Azad

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Self-supervised Semantic Segmentation: Consistency over Transformation.

[BibT_eX]

[DOI]

Yury Velichko

Ulas Bagci

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.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Diffusion Models for Medical Image Analysis: A Comprehensive Survey.

[BibT_eX]

[DOI]

CoRR, 2022

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

[BibT_eX]

[DOI]

Nika Khosravi

Mohammad Dehghanmanshadi

CoRR, 2022

TransNorm: Transformer Provides a Strong Spatial Normalization Mechanism for a Deep Segmentation Model.

[BibT_eX]

[DOI]

Mohammad T. Al-Antary

IEEE Access, 2022

SMU-Net: Style matching U-Net for brain tumor segmentation with missing modalities.

[BibT_eX]

[DOI]

Nika Khosravi

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

Contextual Attention Network: Transformer Meets U-Net.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022

TransDeepLab: Convolution-Free Transformer-Based DeepLab v3+ for Medical Image Segmentation.

[BibT_eX]

[DOI]

Moein Shariatnia

Ehsan Adeli

Proceedings of the Predictive Intelligence in Medicine - 5th International Workshop, 2022

Intervertebral Disc Labeling with Learning Shape Information, a Look once Approach.

[BibT_eX]

[DOI]

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?

[BibT_eX]

[DOI]

Comput. Ind., 2021

On the Texture Bias for Few-Shot CNN Segmentation.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Lucas Rouhier

Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

Deep Frequency Re-calibration U-Net for Medical Image Segmentation.

[BibT_eX]

[DOI]

Afshin Bozorgpour

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.

[BibT_eX]

[DOI]

Proceedings of the MICCAI Workshop on Computational Pathology, 2021

2020

Semi-supervised few-shot learning for medical image segmentation.

[BibT_eX]

[DOI]

CoRR, 2020

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

[BibT_eX]

[DOI]

Mahmood Fathy

CoRR, 2020

Attention Deeplabv3+: Multi-level Context Attention Mechanism for Skin Lesion Segmentation.

[BibT_eX]

[DOI]

Mahmood Fathy

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

2019

Dynamic 3D Hand Gesture Recognition by Learning Weighted Depth Motion Maps.

[BibT_eX]

[DOI]

Shohreh Kasaei

IEEE Trans. Circuits Syst. Video Technol., 2019

Bi-Directional ConvLSTM U-Net with Densley Connected Convolutions.

[BibT_eX]

[DOI]

Mahmood Fathy

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.

[BibT_eX]

[DOI]

Hamid Reza Shayegh

CoRR, 2014

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

[BibT_eX]

[DOI]

Hamid Reza Shayegh

CoRR, 2014

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

[BibT_eX]

[DOI]

Majid Nazari

CoRR, 2014

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

[BibT_eX]

[DOI]

Fatemeh Davami

CoRR, 2014

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

[BibT_eX]

[DOI]

Hamid Reza Shayegh

CoRR, 2014

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

[BibT_eX]

[DOI]

CoRR, 2014

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

[BibT_eX]

[DOI]

Iman Tavakoli Kazerooni

CoRR, 2014

Optimized Method for Iranian Road Signs Detection and recognition system.

[BibT_eX]

[DOI]