I am currently an undergraduate student at Shandong First Medical University (2024-2028), majoring in Medical Information Engineering. I have a strong passion for learning and research in the interdisciplinary field of Medicine + Engineering. My current focus is on Deep Learning for Medical Image Segmentation. I have a basic understanding of Computer Vision (e.g., traditional digital image processing) and are familiar with terms and concepts in Computer Graphics (e.g., Volume Rendering, Surface Rendering, 3D Gaussian Splatting, NeRF, etc.).

• Medical Image IO & Analysis: Capable of using tools like pydicom/nibabel to read and manipulate medical data formats such as .dcm/.nii. Process medical images using tools like OpenCV and SimpleITK.
• Deep Learning for Medical Segmentation: Complete basic full-process model construction using PyTorch. (Currently, I do not write advanced custom differentiable layers from scratch). I use MONAI primarily as an API toolkit to call advanced models (e.g., SwinUNet) and have not yet studied it systematically.
• Reconstruction for Medical Imaging: This area involves high mathematical barriers, particularly Linear Algebra and Calculus/Differentiation, which I am still studying. I only understand basic algorithm principles (e.g., Surface/Volume Rendering) and have done some practical work.
• Computer Science Basics: Capable of using Ubuntu OS, connecting to servers via SSH to run deep learning models, but cannot yet configure multi-GPU training.
• Literature Research: Capable of using academic tools such as Google Scholar, PubMed, Zotero, Connected Papers, etc., to search for and read articles.
• Programming Languages: Mastered: Python; C++ (Future Plan).

Primarily for learning and exchange. I hope to meet more like-minded people. If you are interested in academic research collaboration, please contact me via email or WeChat. My capabilities are limited, but I am willing to give my best effort.

I haven't published any research papers yet, but maybe soon? I don't have any high-value repositories yet, but I hope to have great ones in the future.

Always open to discussing academic cooperation, open-source projects, or tech exchanges!

• Portfolio: https://zlyd-cv.github.io/
• Email: zlyd20060615@163.com | zhouluoyidi@gmail.com
• WeChat: 19144210452

1. Future Plans: I hope to get into a good graduate school. I am not highly fixated on the school’s tier, but rather hope to join a good laboratory or research group. To be honest, my current school doesn’t offer many research opportunities. If I can't find a good group, I will continue to work hard to learn knowledge, improve my GitHub, and look at others' open-source code.
2. Minecraft: I really enjoy playing Minecraft, but due to academic busy, I haven't had time to experience various adventure modpacks or fully understand industrial mods (like Immersive Engineering, IC2, Agriculture, Forestry, etc.). I hope that at some point in my life, I can experience all of these mods.
3. Mobile Games: Currently playing Clash of Clans (International Server). Tags: #Q080C02P2, #G9RR9VRPQ.

目前就读于山东第一医科大学（2024-2028），本科专业为医学信息工程。对医学+工科领域有着强烈的学习和研究热情。目前主要学习深度学习模型在医学图像分割；初步学习了计算机视觉基础（如传统数字图像处理方法）；了解一些计算机图形学相关名词与概念（如体绘制,面绘制,3D高斯溅射,神经辐射场等）。

• 医学图像读取与分析: 能够使用如 pydicom/nibabel 进行 .dcm/.nii 医学数据格式的读取与相关操作，通过 OpenCV, SimpleITK 等图像处理工具处理医学影像。
• 深度学习模型用于医学图像分割: 使用 PyTorch 完成简单模型全流程构建。（但是不会深入使用如手写可微分层）。MONAI 被我用来当作调用先进模型（如 SwinUNet）API 的工具包，还没有系统性学习。
• 计算机视觉/计算机图形学用于医学影像重建: 相关部分涉及较高的数学门槛，尤其是线性代数与高数微分知识，还在学习中。只了解过简单算法（如面绘制/体绘制）原理与做过相关实践。
• 计算机基础: 能够使用 Ubuntu OS 的计算机，并使用 SSH 连接服务器跑深度学习模型，但是不会跨显卡跑模型。
• 文献基础: 能够使用谷歌学术, PubMed, Zotero, Connected Papers 等相关学术工具搜索并阅读文章。
• 掌握的编程语言: Python；C++ (未来计划)。

主要还是学习交流为主，希望能够认识更多有志同道合的人。如果有相关的学术研究合作意向可通过邮件或者微信联系我，我虽能力有限但愿意拼尽全力。

还没有发表过相关的研究论文，但是也许快了？还没有具有较大价值的仓库，希望未来能够拥有好的仓库。

随时欢迎探讨学术合作、开源项目或技术交流！

• 个人主页: https://zlyd-cv.github.io/
• Email: zlyd20060615@163.com | zhouluoyidi@gmail.com
• WeChat: 19144210452

1. 未来打算： 希望考上一个好的研究生，我不是那么看中学校层次，与之相比更希望加入一个好的实验室/课题组。说实话我的学校科研机会也不多。如果不能找到好的课题组并加入的话，我就一直努力学习领域相关知识，努力完善我的GitHub，多多看看别人的开源代码。
2. 我的世界： 我特别喜欢玩Minecraft，但是由于学业繁忙一直没有时间体验各种冒险整合包，以及玩懂工业模组（比如沉浸工程,工业2,农业,林业等），希望人生中能有那么一段时间将这些模组都体验一遍吧。
3. 手游： 目前在玩的手游：部落冲突国际服，标签：#Q080C02P2, #G9RR9VRPQ。