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HTTP/2 200 server: GitHub.com content-type: text/html; charset=utf-8 last-modified: Mon, 22 Dec 2025 11:01:22 GMT access-control-allow-origin: * strict-transport-security: max-age=31556952 etag: W/"69492502-10750" expires: Mon, 29 Dec 2025 06:55:11 GMT cache-control: max-age=600 content-encoding: gzip x-proxy-cache: MISS x-github-request-id: 74EF:2F7ECD:86ABDB:97513F:69522376 accept-ranges: bytes age: 0 date: Mon, 29 Dec 2025 06:45:11 GMT via: 1.1 varnish x-served-by: cache-bom-vanm7210062-BOM x-cache: MISS x-cache-hits: 0 x-timer: S1766990712.659725,VS0,VE201 vary: Accept-Encoding x-fastly-request-id: dffe24c173fcf6963bb990a25a05e2e466212040 content-length: 14965 Xia Li

Home
News
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Xia Li 李夏

Doctoral student

About Me

Find my new webpage at medcpt.cn

I’m now a joint doctoral student of ETH Zurich and Paul Sherrer Institut, supervised by Prof. Joachim Buhmann, Prof. Antony Lomax and Dr. Ye Zhang. Previously, I obtained my Master’s and Bachlor’s degree from Peking University and Beijing University of Posts and Telecommunications, respectively. During my postgrade, I was fortunate to work with Prof. Hong Liu and Prof. Zhouchen Lin.

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Interests

Medical Imaging
Radiotherapy
Computer Vision

Education

PhD Computer Science

ETH Zurich
MSc Computer Science

Peking University

📚 My Research

Find my new webpage at medcpt.cn

Now my research interest lies in the intersection of image processing technique and radiation therapy. My ultimate goal of my research is to reducing the cost of proton therapy from the algorithm perspective, and make it affordable by average people. Before studying medical image processing, I mainly work on image and video segmentation. I also have experience on image restoration and data mining.

Recent News

I am awarded the 1st place in the ICCR Rising Star Competition (Oral Presentation)!

Jul 10, 2024

For our work and my presentation on NGP-DIR

Read more

Jul 10, 2024

Our submission is selected as an Oral presentation by ICCR 2024!

Mar 15, 2024

Neural Graphics Primitives-based Deformable Image Registration for On-the-fly Motion Extraction

Read more

Mar 15, 2024

Our abstract is selected as a Proffered Paper by ESTRO 2024!

Dec 18, 2023

Beyond Voxel-Based Methods: Continuous Motion Modeling for Enhanced Deformable Image Registration

Read more

Dec 18, 2023

Our abstract is selected as a Mini-Oral presentation by ESTRO 2023!

Dec 20, 2022

Uncertainty-aware MR-base CT synthesis for robust proton planning of skull-based tumour

Read more

Dec 20, 2022

Featured Publications

Neural Graphics Primitives-based Deformable Image Registration for On-the-fly Motion Extraction

Deformable Image Registration

Neural Graphics Primitives-based Deformable Image Registration for On-the-fly Motion Extraction

In this study, we have successfully integrated NGP into DIR, a novel contribution that significantly enhances the accuracy and efficiency of medical image alignment as demonstrated on the DIR-lab dataset. The NGPDIR framework exhibits robust performance across various metrics, particularly in landmark alignment precision and the accommodation of anatomical sliding boundaries. This advancement not only propels the DIR field forward but also opens new avenues for real-time clinical applications, potentially transforming patient care with its rapid, reliable imaging capabilities.

Jul 8, 2024

Uncertainty-aware MR-based CT synthesis for robust proton therapy planning of brain tumour

Mr-Guided Proton Therapy

Uncertainty-aware MR-based CT synthesis for robust proton therapy planning of brain tumour

The enhanced framework incorporates 3D uncertainty prediction and generates high-quality sCTs from MR images. The framework also facilitates conditioned robust optimisation, bolstering proton plan robustness against network prediction errors. The innovative feature of uncertainty visualisation and robust analyses contribute to evaluating sCT clinical utility for individual patients.

Feb 1, 2024

Expectation Maximization Attention Networks for Semantic Segmentation

Image Segmentation

Expectation Maximization Attention Networks for Semantic Segmentation

We formulate the attention mechanism into an expectation-maximization manner and iteratively estimate a much more compact set of bases upon which the attention maps are computed.

Jul 22, 2019

Recent Publications

CPT-Interp: Continuous sPatial and Temporal Motion Modeling for 4D Medical Image Interpolation

Deformable Image Registration

CPT-Interp: Continuous sPatial and Temporal Motion Modeling for 4D Medical Image Interpolation

In this work, we introduce a novel Continuous sPatial and Temporal (CPT) modeling approach for 4D medical image interpolation, addressing the limitations of discrete motion modeling in both spatial and temporal domains. By leveraging implicit neural representations and integrating an ODE solver, our method achieves superior accuracy and speed without requiring extensive training datasets or domain-specific fine-tuning. Through comprehensive experiments and ablation studies, we demonstrated the contributions of spatial and temporal continuity, as well as the robustness of our method across different datasets. CPT-Interp not only outperforms state-of-the-art methods but also exhibits remarkable generalization ability, making it a promising solution for clinical applications.

Nov 9, 2024

Gaussian Representation for Deformable Image Registration

Deformable Image Registration

Gaussian Representation for Deformable Image Registration

This paper presented a novel deformable image registration (DIR) technique using parametric 3D Gaussian control points to model continuous spatial deformation fields effectively. By integrating transformation vectors with linear blend skinning (LBS) for voxel motion interpolation, our approach simplifies computational demands while ensuring high accuracy and efficiency. The adaptive density of Gaussian points further allows for precise handling of varying motion complexities.

Nov 9, 2024

Neural Graphics Primitives-based Deformable Image Registration for On-the-fly Motion Extraction

Deformable Image Registration

Neural Graphics Primitives-based Deformable Image Registration for On-the-fly Motion Extraction

In this study, we have successfully integrated NGP into DIR, a novel contribution that significantly enhances the accuracy and efficiency of medical image alignment as demonstrated on the DIR-lab dataset. The NGPDIR framework exhibits robust performance across various metrics, particularly in landmark alignment precision and the accommodation of anatomical sliding boundaries. This advancement not only propels the DIR field forward but also opens new avenues for real-time clinical applications, potentially transforming patient care with its rapid, reliable imaging capabilities.

Jul 8, 2024

TAMBRIDGE: Bridging Frame-Centered Tracking and 3D Gaussian Splatting for Enhanced SLAM

Gaussian Representation

TAMBRIDGE: Bridging Frame-Centered Tracking and 3D Gaussian Splatting for Enhanced SLAM

Our goal was to develop a 3DGS-based SLAM system suitable for intelligent robotic perception tasks. The system is designed to meet the real-time requirements of robotic perception, and is robust against random sensor noise, motion blur and challenges posed by long-session SLAM. To achieve this, we have implemented a plug-and-play Fusion Bridge module that filters redundant views and leverages the anchoring effect of reprojection errors to estimate poses for rendering initially. This approach marks the first integration of a tracking-centered paradigm with an ORB-based visual odometry frontend together with a 3DGS-centered backend. Our system consistently achieves realtime localization and near-real-time rendering at over 5 FPS on the real-world TUM RGB-D dataset. Furthermore, it significantly surpasses SplaTAM in localization accuracy, rendering quality, and robustness in scenarios involving motion blur and long-distance SLAM tasks

May 30, 2024

See all publications

Recent & Upcoming Talks

ICCR 2024 Rising Star Competition

ICCR 2024 Rising Star Competition

Rising Star Competition by WIMP

Jul 10, 2024

ESTRO 2024 Proffered Paper

ESTRO 2024 Proffered Paper

Proffered paper presentation for continuous deformable image registration

May 4, 2024

ESTRO 2023 Mini-Oral

ESTRO 2023 Mini-Oral

Mini-oral presentation for uncertainty-conditioned MR-guided proton therapy

May 13, 2023

ICCV 2019 Oral

ICCV 2019 Oral

Oral presentation for EMANet

Nov 1, 2019

© 2025 Me. This work is licensed under CC BY NC ND 4.0

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