Maryam Viqar

Maryam Viqar is a doctoral researcher specializing in plenoptic imaging, with significant contributions to optical coherence tomography (OCT) and deep learning applications. Her work focuses on advancing medical imaging techniques for varicose vein analysis and biomechanical property assessment.

• Research Areas: Biomedical Imaging, Deep Learning, Optical Coherence Tomography
• Key Collaborations: Involved in international research activities with institutions in Europe and Asia.

Her research outputs include deep learning-based image reconstruction and segmentation methods for OCT, with applications in varicose vein diagnostics. Notable projects include WAVE-UNET and Opto-UNET, leveraging attention mechanisms and transfer learning.

Maryam has presented her work at major conferences like the IEEE European Workshop on Visual Information Processing and Optica Publishing Group events in 2022 and 2024. Her recent publications in Sensors and Micromachines highlight interdisciplinary approaches combining biomedical engineering and computer science.