Ibsa Jalata Source Confirmed

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

Researcher

University of Arkansas at Fayetteville

faculty

5 h-index 11 pubs 77 cited

Research Areas

Medical Imaging Techniques and Applications Advanced Neural Network Applications Neurological disorders and treatments Musculoskeletal pain and rehabilitation Radiomics and Machine Learning in Medical Imaging

Links

ORCID Research Group

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OverviewAI-generated summary

Ibsa Jalata's research focuses on the application of deep learning techniques to medical imaging and visual data analysis. His work includes developing methods for group-level emotion recognition from crowd videos and utilizing graph convolutional neural networks for movement analysis in neurological and musculoskeletal disorders. Jalata has also investigated unsupervised deep learning architectures for accelerated magnetic resonance imaging (MRI), employing image priors and system models. Further research areas include semi-supervised medical image segmentation using augmentation techniques like Puzzlemix and Cut-Puzzle mix, as well as addressing data scarcity in deep learning-based MRI reconstruction through systematic exploitation of oversampling. Jalata collaborates with researchers from the University of Arkansas at Little Rock and within the University of Arkansas at Fayetteville, with shared publications including work with Ukash Nakarmi and Khoa Luu.

Metrics

  • h-index: 5
  • Publications: 11
  • Citations: 77

Selected Publications

  • Semi-Supervised Medical Image Segmentation using Puzzlemix Augmentation Technique (2024) DOI
  • Cut-Puzzle mix: Scribble Guided Medical Image Segmentation without Segmentation Masks (2024) DOI
  • Learning From Oversampling: A Systematic Exploitation of Oversampling to Address Data Scarcity Issues in Deep Learning- Based Magnetic Resonance Image Reconstruction (2024) DOI
  • When System Model Meets Image Prior: An Unsupervised Deep Learning Architecture for Accelerated Magnetic Resonance Imaging (2023) DOI
  • EQAdap: Equipollent Domain Adaptation Approach to Image Deblurring (2022) DOI
  • Non-volume preserving-based fusion to group-level emotion recognition on crowd videos (2022) DOI
  • Movement Analysis for Neurological and Musculoskeletal Disorders Using Graph Convolutional Neural Network (2021) DOI

Collaborators

Researchers in the database who share publications

Ukash Nakarmi University of Arkansas at Little Rock 5 shared publications Khoa Luu University of Arkansas at Fayetteville 3 shared publications Han‐Seok Seo University of Arkansas at Fayetteville 1 shared publication Pierce Helton University of Arkansas at Fayetteville 1 shared publication Chase Rainwater University of Arkansas at Fayetteville 1 shared publication Naga Venkata Sai Raviteja Chappa University of Arkansas at Fayetteville 1 shared publication

Similar Researchers

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