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Moein Heidari
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2020 – today
- 2024
- [j3]Reza Azad, Amirhossein Kazerouni
, Moein Heidari
, Ehsan Khodapanah Aghdam, Amirali Molaei, Yiwei Jia
, Abin Jose
, Rijo Roy, Dorit Merhof
:
Advances in medical image analysis with vision Transformers: A comprehensive review. Medical Image Anal. 91: 103000 (2024) - [i14]Pooria Ashrafian, Milad Yazdani, Moein Heidari, Dena Shahriari, Ilker Hacihaliloglu:
Vision-Language Synthetic Data Enhances Echocardiography Downstream Tasks. CoRR abs/2403.19880 (2024) - [i13]Moein Heidari, Reza Azad, Sina Ghorbani Kolahi, René Arimond, Leon Niggemeier, Alaa Sulaiman, Afshin Bozorgpour, Ehsan Khodapanah Aghdam, Amirhossein Kazerouni, Ilker Hacihaliloglu, Dorit Merhof:
Enhancing Efficiency in Vision Transformer Networks: Design Techniques and Insights. CoRR abs/2403.19882 (2024) - [i12]Moein Heidari, Sina Ghorbani Kolahi, Sanaz Karimijafarbigloo, Bobby Azad, Afshin Bozorgpour, Soheila Hatami, Reza Azad, Ali Diba, Ulas Bagci, Dorit Merhof, Ilker Hacihaliloglu:
Computation-Efficient Era: A Comprehensive Survey of State Space Models in Medical Image Analysis. CoRR abs/2406.03430 (2024) - [i11]Sina Ghorbani Kolahi, Seyed Kamal Chaharsooghi, Toktam Khatibi, Afshin Bozorgpour, Reza Azad, Moein Heidari, Ilker Hacihaliloglu, Dorit Merhof:
MSA2Net: Multi-scale Adaptive Attention-guided Network for Medical Image Segmentation. CoRR abs/2407.21640 (2024) - 2023
- [j2]Amirhossein Kazerouni
, Ehsan Khodapanah Aghdam, Moein Heidari
, Reza Azad, Mohsen Fayyaz
, Ilker Hacihaliloglu
, Dorit Merhof
:
Diffusion models in medical imaging: A comprehensive survey. Medical Image Anal. 88: 102846 (2023) - [c9]Mustansar Fiaz, Moein Heidari, Rao Muhammad Anwer, Hisham Cholakkal:
SA2-Net: Scale-aware Attention Network for Microscopic Image Segmentation. BMVC 2023: 730-738 - [c8]Tohid Abedini, Samin Heydarian, Moein Heidari, Alireza Morsali:
Chaotic Transformers for Deep Reinforcement Learning in Algorithmic Trading. Tiny Papers @ ICLR 2023 - [c7]Moein Heidari, Alireza Morsali, Tohid Abedini, Samin Heydarian:
DiffGANPaint: Fast Inpainting Using Denoising Diffusion GANs. Tiny Papers @ ICLR 2023 - [c6]Samin Heydarian, Tohid Abedini, Alireza Morsali, Moein Heidari:
Speaker-Invariant Speech Recognition through Fine-Tuning on Individual-Specific Data with Voice Conversion. Tiny Papers @ ICLR 2023 - [c5]Alireza Morsali, Moein Heidari, Samin Heydarian, Tohid Abedini:
MLP-Attention: Improving Transformer Architecture with MLP Attention Weights. Tiny Papers @ ICLR 2023 - [c4]Moein Heidari, Amirhossein Kazerouni
, Milad Soltany Kadarvish, Reza Azad, Ehsan Khodapanah Aghdam, Julien Cohen-Adad, Dorit Merhof:
HiFormer: Hierarchical Multi-scale Representations Using Transformers for Medical Image Segmentation. WACV 2023: 6191-6201 - [i10]Reza Azad, Amirhossein Kazerouni
, Moein Heidari, Ehsan Khodapanah Aghdam, Amirali Molaei, Yiwei Jia, Abin Jose, Rijo Roy, Dorit Merhof:
Advances in Medical Image Analysis with Vision Transformers: A Comprehensive Review. CoRR abs/2301.03505 (2023) - [i9]Mustansar Fiaz
, Moein Heidari, Rao Muhammad Anwer, Hisham Cholakkal:
SA2-Net: Scale-aware Attention Network for Microscopic Image Segmentation. CoRR abs/2309.16661 (2023) - [i8]Moein Heidari, Alireza Morsali
, Tohid Abedini, Samin Heydarian:
DiffGANPaint: Fast Inpainting Using Denoising Diffusion GANs. CoRR abs/2311.11469 (2023) - [i7]Reza Azad, Moein Heidari, Kadir Yilmaz, Michael Hüttemann, Sanaz Karimijafarbigloo, Yuli Wu, Anke Schmeink, Dorit Merhof:
Loss Functions in the Era of Semantic Segmentation: A Survey and Outlook. CoRR abs/2312.05391 (2023) - 2022
- [j1]Reza Azad
, Mohammad T. Al-Antary
, Moein Heidari, Dorit Merhof
:
TransNorm: Transformer Provides a Strong Spatial Normalization Mechanism for a Deep Segmentation Model. IEEE Access 10: 108205-108215 (2022) - [c3]Reza Azad, Moein Heidari, Julien Cohen-Adad, Ehsan Adeli
, Dorit Merhof:
Intervertebral Disc Labeling with Learning Shape Information, a Look once Approach. PRIME@MICCAI 2022: 49-59 - [c2]Reza Azad, Moein Heidari, Moein Shariatnia, Ehsan Khodapanah Aghdam, Sanaz Karimijafarbigloo, Ehsan Adeli
, Dorit Merhof:
TransDeepLab: Convolution-Free Transformer-Based DeepLab v3+ for Medical Image Segmentation. PRIME@MICCAI 2022: 91-102 - [c1]Reza Azad, Moein Heidari, Yuli Wu
, Dorit Merhof:
Contextual Attention Network: Transformer Meets U-Net. MLMI@MICCAI 2022: 377-386 - [i6]Reza Azad, Moein Heidari, Yuli Wu, Dorit Merhof:
Contextual Attention Network: Transformer Meets U-Net. CoRR abs/2203.01932 (2022) - [i5]Reza Azad, Moein Heidari, Julien Cohen-Adad, Ehsan Adeli, Dorit Merhof:
Intervertebral Disc Labeling With Learning Shape Information, A Look Once Approach. CoRR abs/2204.02943 (2022) - [i4]Moein Heidari, Amirhossein Kazerouni
, Milad Soltany Kadarvish, Reza Azad, Ehsan Khodapanah Aghdam, Julien Cohen-Adad, Dorit Merhof:
HiFormer: Hierarchical Multi-scale Representations Using Transformers for Medical Image Segmentation. CoRR abs/2207.08518 (2022) - [i3]Reza Azad, Mohammad T. Al-Antary, Moein Heidari, Dorit Merhof:
TransNorm: Transformer Provides a Strong Spatial Normalization Mechanism for a Deep Segmentation Model. CoRR abs/2207.13415 (2022) - [i2]Reza Azad, Moein Heidari, Moein Shariatnia, Ehsan Khodapanah Aghdam, Sanaz Karimijafarbigloo, Ehsan Adeli, Dorit Merhof:
TransDeepLab: Convolution-Free Transformer-based DeepLab v3+ for Medical Image Segmentation. CoRR abs/2208.00713 (2022) - [i1]Amirhossein Kazerouni, Ehsan Khodapanah Aghdam, Moein Heidari, Reza Azad, Mohsen Fayyaz, Ilker Hacihaliloglu, Dorit Merhof:
Diffusion Models for Medical Image Analysis: A Comprehensive Survey. CoRR abs/2211.07804 (2022)
Coauthor Index
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last updated on 2024-08-25 20:09 CEST by the dblp team
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