1 code implementation • 9 May 2022 • Mohammad Eslami, Solale Tabarestani, Ehsan Adeli, Glyn Elwyn, Tobias Elze, Mengyu Wang, Nazlee Zebardast, Nassir Navab, Malek Adjouadi
With the advent of sophisticated machine learning (ML) techniques and the promising results they yield, especially in medical applications, where they have been investigated for different tasks to enhance the decision-making process.
1 code implementation • 22 Sep 2021 • Farzin Soleymani, Mohammad Eslami, Tobias Elze, Bernd Bischl, Mina Rezaei
We propose a Deep Variational Clustering (DVC) framework for unsupervised representation learning and clustering of large-scale medical images.
1 code implementation • 31 May 2021 • Mohammad Eslami, Solale Tabarestani, Malek Adjouadi
This investigation shows that bias correction and cross-modality conversion applications are significantly easier than the segmentation application, and having multitasking with segmentation is not reasonable if one of them is identified as the main target application.
no code implementations • IET Image Processing 2020 • Mohammadreza Riahi, Mohammad Eslami, Seyed Hamid Safavi, Farah Torkamani Azar
Experimental results on popular UCF11, Olympic Sports, and J-HMDB datasets show the superiority of the proposed KFDI approach compared to the DI in capturing long dynamics of videos for action recognition.
1 code implementation • 31 Jul 2020 • Mohammad Eslami, Solale Tabarestani, Malek Adjouadi
In this research, both image denoising and kidney segmentation tasks are addressed jointly via one multitask deep convolutional network.
1 code implementation • 31 Oct 2019 • Mohammad Eslami, Mahdi Karami, Sedigheh Eslami, Solale Tabarestani, Farah Torkamani-Azar, Christoph Meinel
Sign(ed) languages use gestures, such as hand or head movements, for communication.
1 code implementation • 18 Jul 2019 • Mohammad Eslami, Christiane Neuschaefer-Rube, Antoine Serrurier
The various speech sounds of a language are obtained by varying the shape and position of the articulators surrounding the vocal tract.
1 code implementation • 24 Jun 2019 • Mohammad Eslami, Solale Tabarestani, Shadi Albarqouni, Ehsan Adeli, Nassir Navab, Malek Adjouadi
Chest X-ray radiography is one of the earliest medical imaging technologies and remains one of the most widely-used for diagnosis, screening, and treatment follow up of diseases related to lungs and heart.