1 code implementation • 28 Mar 2024 • Pooria Ashrafian, Milad Yazdani, Moein Heidari, Dena Shahriari, Ilker Hacihaliloglu
High-quality, large-scale data is essential for robust deep learning models in medical applications, particularly ultrasound image analysis.
no code implementations • 28 Mar 2024 • Moein Heidari, Reza Azad, Sina Ghorbani Kolahi, René Arimond, Leon Niggemeier, Alaa Sulaiman, Afshin Bozorgpour, Ehsan Khodapanah Aghdam, Amirhossein Kazerouni, Ilker Hacihaliloglu, Dorit Merhof
Intrigued by the inherent ability of the human visual system to identify salient regions in complex scenes, attention mechanisms have been seamlessly integrated into various Computer Vision (CV) tasks.
1 code implementation • 28 Sep 2023 • Mustansar Fiaz, Moein Heidari, Rao Muhammad Anwer, Hisham Cholakkal
Specifically, we propose scale-aware attention (SA2) module designed to capture inherent variations in scales and shapes of microscopic regions, such as cells, for accurate segmentation.
no code implementations • 3 Aug 2023 • Moein Heidari, Alireza Morsali, Tohid Abedini, Samin Heydarian
Free-form image inpainting is the task of reconstructing parts of an image specified by an arbitrary binary mask.
1 code implementation • 9 Jan 2023 • Reza Azad, Amirhossein Kazerouni, Moein Heidari, Ehsan Khodapanah Aghdam, Amirali Molaei, Yiwei Jia, Abin Jose, Rijo Roy, Dorit Merhof
The remarkable performance of the Transformer architecture in natural language processing has recently also triggered broad interest in Computer Vision.
1 code implementation • 14 Nov 2022 • Amirhossein Kazerouni, Ehsan Khodapanah Aghdam, Moein Heidari, Reza Azad, Mohsen Fayyaz, Ilker Hacihaliloglu, Dorit Merhof
Then, we provide a systematic taxonomy of diffusion models in the medical domain and propose a multi-perspective categorization based on their application, imaging modality, organ of interest, and algorithms.
1 code implementation • 1 Aug 2022 • Reza Azad, Moein Heidari, Moein Shariatnia, Ehsan Khodapanah Aghdam, Sanaz Karimijafarbigloo, Ehsan Adeli, Dorit Merhof
Especially, deep neural networks based on seminal architectures such as U-shaped models with skip-connections or atrous convolution with pyramid pooling have been tailored to a wide range of medical image analysis tasks.
1 code implementation • 27 Jul 2022 • Reza Azad, Mohammad T. AL-Antary, Moein Heidari, Dorit Merhof
In the past few years, convolutional neural networks (CNNs), particularly U-Net, have been the prevailing technique in the medical image processing era.
1 code implementation • 18 Jul 2022 • Moein Heidari, Amirhossein Kazerouni, Milad Soltany, Reza Azad, Ehsan Khodapanah Aghdam, Julien Cohen-Adad, Dorit Merhof
In this paper, we propose HiFormer, a novel method that efficiently bridges a CNN and a transformer for medical image segmentation.
no code implementations • 6 Apr 2022 • Reza Azad, Moein Heidari, Julien Cohen-Adad, Ehsan Adeli, Dorit Merhof
Accurate and automatic segmentation of intervertebral discs from medical images is a critical task for the assessment of spine-related diseases such as osteoporosis, vertebral fractures, and intervertebral disc herniation.
2 code implementations • 2 Mar 2022 • Reza Azad, Moein Heidari, Yuli Wu, Dorit Merhof
Then, they emphasize the informative regions while taking into account the long-range contextual dependency derived by the Transformer module.