Search Results for author:
Found 8 papers, 7 papers with code
Affective Medical Estimation and Decision Making via Visualized Learning and Deep Learning
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.
Deep Variational Clustering Framework for Self-labeling of Large-scale Medical Images
We propose a Deep Variational Clustering (DVC) framework for unsupervised representation learning and clustering of large-scale medical images.
Feasibility Assessment of Multitasking in MRI Neuroimaging Analysis: Tissue Segmentation, Cross-Modality Conversion and Bias correction
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.
Human activity recognition using improved dynamic image
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.
Joint Low Dose CT Denoising And Kidney Segmentation
In this research, both image denoising and kidney segmentation tasks are addressed jointly via one multitask deep convolutional network.
SignCol: Open-Source Software for Collecting Sign Language Gestures
Sign(ed) languages use gestures, such as hand or head movements, for communication.
Automatic vocal tract landmark localization from midsagittal MRI data
The various speech sounds of a language are obtained by varying the shape and position of the articulators surrounding the vocal tract.
Image to Images Translation for Multi-Task Organ Segmentation and Bone Suppression in Chest X-Ray Radiography
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.
