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Arghavan Rezvani

PhD Student

About Me

My name is Arghavan Rezvani, and I am currently pursuing a PhD in Computer Science at the University of California, Irvine, where I am working under the supervision of Prof. Xiaohui Xie. My primary research focus is on computer vision and deep learning, particularly their applications in medical image analysis.
Prior to this, I completed my bachelor’s degree in Computer Engineering at Sharif University of Technology, Tehran, Iran.

Experience

Sep. 2022 - Present
University of California, Irvine

Graduate Student Researcher

  • Computer vision in medical image analysis
Jan. 2024 - Present
University of California, Irvine

Teaching Assistant

  • Introduction to Artificial Intelligence
  • AI for Biology and Medicine
Jan. 2022 - Sep. 2022
Straiberry

Machine Learning Engineer

  • Design and implementation of deep models for analysis of RGB and X-ray dental images.
Jul. 2020 - Jan. 2022
Sharif University of Technology

Research Assistant

Jul. 2021 - Oct. 2021
University of British Columbia

Remote Research Intern

  • Under the supervision of Prof. Ali Bashashati
  • Conducted research on different aggregation methods in histopathology images

Education

  • PhD in Computer Science
    University of California, Irvine
    2022 - present
    GPA: 3.98/4
  • BSc in Computer Engineering
    Sharif Univeristy of Technology
    2017 - 2022
    GPA: 18.34/20
    Thesis title: Semisupervised Cardiac Segmentation with Sparse Annotations
    Supervised by: Prof. Mahdieh Soleymani

Languages

  • Persian (Native)
  • English (Fluent)

Soft Skills

  • Leadership
  • Team Work
  • Teaching

Selected Publications

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ACorD: Adaptive Correspondence Discovery for Medical Image Registration

Arghavan Rezvani, Kun Han, Xiaohui Xie
Accepted to WACV 2027

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Rotation Equivariant Convolutions in Deformable Registration of Brain MRI

Arghavan Rezvani, Kun Han, Anthony T. Wu, Pooya Khosravi, Xiaohui Xie
2026 IEEE 23rd International Symposium on Biomedical Imaging (ISBI), 2026

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Benchmarking Deep Learning for Future Liver Remnant Segmentation in Colorectal Liver Metastasis

Anthony Wu*, Arghavan Rezvani*, Kela Liu*, Roozbeh Houshyar, Pooya Khosravi, Whitney Li, Xiaohui Xie
2026 IEEE 23rd International Symposium on Biomedical Imaging (ISBI), 2026

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XOCT: Enhancing OCT to OCTA Translation via Cross-Dimensional Supervised Multi-scale Feature Learning

Pooya Khosravi, Kun Han, Anthony T. Wu, Arghavan Rezvani, Zexin Feng, Xiaohui Xie
International Conference on Medical Image Computing and Computer-Assisted Intervention, 2025

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Image-based Cell Profiling Enhancement via Data Cleaning Methods

Arghavan Rezvani*, Mahtab Bigverdi*, Mohammad Hossein Rohban
PLOS ONE Journal, 2022

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Intelligent Sensing Framework: Near-Sensor Machine Learning for Efficient Data Transmission

Arghavan Rezvani*, Wenjun Huang*, Hanning Chen, Yang Ni, Sanggeon Yun, Sungheon Jeong, Guangyi Zhang, Mohsen Imani
IEEE Sensors Journal, 2024