I am a PhD student at Istanbul Technical University, Computer Engineering, where I have studied since 2021. I work as a researcher in the 2232 International Fellowship for Outstanding Researchers Program of TUBITAK (Project No: 118C353) and the ITU BAP research funds (Project ID: 47296). My research focuses on MRI reconstruction using deep learning and reinforcement learning methods. My professor is Ilkay Oksuz.

From 2018 to 2020, I was an exchange student at the Lab of Interactive Media Computing at Fudan University. During this time, I was working on projects related to autonomous driving, which involved object detection, pedestrian recognition, Instance segmentation, path planning, etc., working under the guidance of Professor Cheng Jin.

From 2017 to 2020, I pursued my Master’s studies at the SICT(Shanghai Institute of Computing Technology), with a research direction in computer vision. My professor is Xinli Min.

From 2017 to 2020, I interned at Shanghai Shen Teng Technology Co., Ltd. . My work there involved contributing to smart city-related projects.

In 2016, I earned my Bachelor’s degree in Computer Science and Technology.

Gap year: 2016~2017, Backpacker, traveling alone.

Gap year: 2020~2021, Epidemic Volunteer

🔬 Research Interests:
Medical Image Analysis · MRI Reconstruction · Reinforcement Learning · Instance Segmentation · Object Detection · Computer Vision

🌟 Research Highlights

10+

Publications

14+

Total Citations

MICCAI Awards

Conference Talks

🔥 News

[2026.02] 🎤 Paper accepted for in-person presentation at SCMR 2026, Brazil

[2025.09] 🎉 Two papers accepted at MICCAI 2025 with oral presentations!

[2025.03] 🥉 Won 3rd place in CMRxRecon Challenge Task 2

[2025.03] 🥇 Won 5th place in CMRxRecon Challenge Task 1

[2025.01] 📄 Paper accepted in Neurocomputing (Q1, IF: 6.5)

[2024.10] 🎤 Oral presentation at MICCAI 2024

🎓 Education

2021.03 - now, Istanbul Technical University, Computer Engineering, PhD Candidate
2018.04 - 2020.03, Fudan University, Lab of Interactive Media Computing, Exchange learning
2017.09 - 2020.03, SICT (Shanghai Institute of Computing Technology), Engineering Computer Software and Theory, Master’s degree
2012.09 - 2016.07, Liaocheng University, Computer Science and Technology, Bachelor’s degree

💻 Work Experience

📋 TOEFL Score

Score: 108 · Jan 2021, Reading: 28, Listening: 26, Speaking: 24, Writing: 30

📝 Publications

Journal Papers

Xu R, Oksuz I. “Undersampled K-Space Information Recovery with Long-Range Temporal Memory for Multi-Coil MRI Reconstruction.” Computer Methods and Programs in Biomedicine [Q1; IF:4.8, Under Review]

Xu R, Oksuz I. “Optimized K-Space Under-sampling for Brain MRI Reconstruction with Reinforcement Learning.” Pattern Recognition Letters (Q1; IF:3.9) [Under Review, Revise stage]

Wang F,..etc… Xu R, Oksuz I..etc… . “Towards Modality- and Sampling-Universal Learning Strategies for Accelerating Cardiovascular Imaging: Summary of the CMRxRecon2024 Challenge” (Top Journal: TMI; IF:9.8) [Online] | Citations: 1

Xu R, Oksuz I. “A Reinforcement Learning Approach for Optimized MRI Sampling with Region-Specific Fidelity.” Neurocomputing (2025). (Q1; IF:6.5) [Online] [Code] | Citations: 2

Xu R, Oksuz I. “Segmentation-aware MRI subsampling for efficient cardiac MRI reconstruction with reinforcement learning.” Image and Vision Computing (2024). (Q1; IF:4.2) [Online] | Citations: 5

🎤 Conference Papers

📖 Master’s Thesis

Research and Implementation of Intelligent Evaluation Algorithm of Street Cleanliness Based on Vision
[Online] Chinese Master’s Theses Full-text Database · Mar 2, 2020

🏅 MICCAI Challenge

Consistently ranked Top 5 in MICCAI CMRxRecon Challenge (2024-2025), demonstrating expertise in cardiac MRI reconstruction across multiple tasks and evaluation criteria.