Faculty

Institution

Unit

Venue

Lianli Liu

Clinical Assistant Professor Radiation Oncology - Radiation Physics

Stanford University

Affiliations

Radiation Oncology

Medical Physics

School of Medicine

Radiation Oncology

Lianli Liu is currently serving as a Medical Physics Clinical Assistant Professor Radiation Oncology - Radiation Physics at Stanford University.

Honors

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Experiences

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Education

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Lianli Liu

Stanford University

Clinical Assistant Professor Radiation Oncology - Radiation Physics

You can click a keyword to filter the displayed items

medical imaging biomedical imaging magnetic resonance imaging physics radiation oncology neuroimaging machine learning medical image analysis health sciences applied physics cancer imaging computed tomography deep learning oncology respiratory medicine computational imaging positron emission tomography radiation therapy pattern recognition computer vision medical image computing abdominal imaging medical biophysics spinal tumors advanced imaging machine intelligence physical medicine bone research mobile computing medical physics gynecologic oncology nuclear medicine surgical oncology image representation pattern analysis ct scan bone imaging medical technology 3d imaging computational anatomy accelerator technology brain science spinal fusion spine surgery spinal oncology brain imaging image reconstruction multimodal learning radiographic imaging oncologic imaging adaptive region-specific loss synthetic ct mr dixon images joint intensity synthetic ct generation geometry-informed deep learning volumetric mri volumetric prediction radial mri multi-temporal resolution modeling quality assurance applications implicit neural representation beam data linear accelerator brain metastases hievarchical sparse coding radiomics clinical workflow radiology artificial intelligence

Notable Scholarly Works

Notable Federal Grants

Collaborators

Efficient and Accurate Commissioning and Quality Assurance of Radiosurgery Beam via Prior‐Embedded Implicit Neural Representation Learning. Medical Physics (2025)

Lianli LiuCynthia ChangLei WangXuejun GuGregory SzalkowskiLei Xing

medical physicsbiomedical engineeringaccurate commissioningradiosurgery beam

Single- Versus Multi-Fraction Spine Stereotactic Radiosurgery (All-Star) for Patients With Spinal Metastases: A Randomized Phase III Trial Protocol. BMC Cancer (2025)

Aniket PratapneniDaniella KlebanerScott Gerard SoltysElham RahimyIris Catrice GibbsSteven Daniel ChangGordon LiMelanie Hayden GephartAnand VeeravaguGregory Arthur SzalkowskiXuejun GuLei WangCynthia ChuangLianli LiuScott JacksonRong LuJillian Adele SkerchakKelly Zhe HuangSamantha WongEleanor BrownErqi Liu Pollom

spinal fusionspinal tumorsspine surgeryoncologyorthopaedic surgeryspinal metastasesspinal oncology

Use of Carbon Fiber Implants to Improve the Safety and Efficacy of Radiation Therapy for Spine Tumor Patients. Brain Sciences (2025)

Fred C. LamSantosh GuruDeyaldeen AbuReeshYusuke S. HoriCynthia ChuangLianli LiuLei WangXuejun GuGregory A. SzalkowskiZiyi WangChristopher WohlersArmine TayagSara C. EmrichLouisa UstrzynskiCorinna C. ZygourakisAtman DesaiMelanie Hayden GephartJohn ByunErqi Liu PollomElham RahimyScott SoltysDavid J. ParkSteven D. Chang

spinal tumorscarbon fiber implantsradiation therapybrain sciencehealth sciencesspine tumor patients

Low-To-High Frequency Progressive K-Space Learning for Mri Reconstruction. Lecture notes in computer science (2024)

Xiaohan XingLiang QiuLequan YuLingting ZhuLei XingLianli Liu

biomedical imagingmri reconstructionimage reconstructioncomputer sciencemedical imaging

Multi-Sensor Learning Enables Information Transfer Across Different Sensory Data and Augments Multi-Modality Imaging. arXiv (Cornell University) (2024)

Zhu, LingtingChen, YizhengLiu, LianliXing, LeiYu, Lequan

multimodal learningmulti-sensor learningdifferent sensory datamachine learningdata scienceinformation transferaugments multi-modality imaging

Parametric Response Mapping of Co-Registered Intravoxel Incoherent Motion Magnetic Resonance Imaging and Positron Emission Tomography in Locally Advanced Cervical Cancer Undergoing Concurrent Chemoradiation Therapy. Physics and Imaging in Radiation Oncology (2024)

Dante P I CapaldiJen-Yeu WangLianli LiuVipul R ShethElizabeth A KiddDimitre H Hristov

magnetic resonance imagingradiation therapyadvanced cervical cancerradiationbiomedical imagingoncologypositron emission tomographyradiation oncologymolecular imagingconcurrent chemoradiation therapyradiologygynecologic oncologynuclear medicinebiophysicssurgical oncologyparametric response mappingcancer imagingradiographic imagingoncologic imagingmedical imagingcervical cancer

St-Nerp: Spatial-Temporal Neural Representation Learning With Prior Embedding for Patient-Specific Imaging Study. arXiv (Cornell University) (2024)

Qiu, LiangShen, LiyueLiu, LianliLiu, JunyanChen, YizhengXing, Lei

biomedical imagingimage representationpatient-specific imaging studyspatial-temporal neural representationneurosciencemedical imaging

Where Does Auto-Segmentation for Brain Metastases Radiosurgery Stand Today?. Bioengineering (2024)

Matthew KimJen-Yeu WangWeiguo LuHao JiangStrahinja StojadinovicZabi WardakTu DanRobert TimmermanLei WangCynthia ChuangGregory SzalkowskiLianli LiuErqi PollomElham RahimyScott SoltysMingli ChenXuejun Gu

radiation oncologybiomedical engineeringbrain metastasesoncology

Adaptive Region-Specific Loss for Improved Medical Image Segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence (2023)

Yizheng ChenLequan YuJen-Yeu WangNeil PanjwaniJean-Pierre ObeidWu LiuLianli LiuNataliya KovalchukMichael Francis GensheimerLucas Kas VitzthumBeth M. BeadleDaniel T. ChangQuynh-Thu LeBin HanLei Xing

pattern recognitioncomputer sciencemachine learningmachine intelligencedeep learningadaptive region-specific losspattern analysis

Modeling Linear Accelerator (Linac) Beam Data by Implicit Neural Representation Learning for Commissioning and Quality Assurance Applications. Medical Physics (2023)

Lianli LiuLiyue ShenYong YangEmil SchülerWei ZhaoGordon WetzsteinLei Xing

engineeringquality assurance applicationsradiation oncologyimplicit neural representationaccelerator technologymachine learningbeam dataapplied physicsmodeling and simulationlinear accelerator

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Lianli Liu

Clinical Assistant Professor Radiation Oncology - Radiation Physics

Stanford University

Affiliations

Radiation Oncology

Medical Physics

School of Medicine

Radiation Oncology

Lianli Liu is currently serving as a Medical Physics Clinical Assistant Professor Radiation Oncology - Radiation Physics at Stanford University.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Lianli Liu

Stanford University

Clinical Assistant Professor Radiation Oncology - Radiation Physics

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Efficient and Accurate Commissioning and Quality Assurance of Radiosurgery Beam via Prior‐Embedded Implicit Neural Representation Learning. Medical Physics (2025)

Lianli LiuCynthia ChangLei WangXuejun GuGregory SzalkowskiLei Xing

medical physicsbiomedical engineeringaccurate commissioningradiosurgery beam

Single- Versus Multi-Fraction Spine Stereotactic Radiosurgery (All-Star) for Patients With Spinal Metastases: A Randomized Phase III Trial Protocol. BMC Cancer (2025)

spinal fusionspinal tumorsspine surgeryoncologyorthopaedic surgeryspinal metastasesspinal oncology

Use of Carbon Fiber Implants to Improve the Safety and Efficacy of Radiation Therapy for Spine Tumor Patients. Brain Sciences (2025)

spinal tumorscarbon fiber implantsradiation therapybrain sciencehealth sciencesspine tumor patients

Low-To-High Frequency Progressive K-Space Learning for Mri Reconstruction. Lecture notes in computer science (2024)

Xiaohan XingLiang QiuLequan YuLingting ZhuLei XingLianli Liu

biomedical imagingmri reconstructionimage reconstructioncomputer sciencemedical imaging

Multi-Sensor Learning Enables Information Transfer Across Different Sensory Data and Augments Multi-Modality Imaging. arXiv (Cornell University) (2024)

Zhu, LingtingChen, YizhengLiu, LianliXing, LeiYu, Lequan

multimodal learningmulti-sensor learningdifferent sensory datamachine learningdata scienceinformation transferaugments multi-modality imaging

Dante P I CapaldiJen-Yeu WangLianli LiuVipul R ShethElizabeth A KiddDimitre H Hristov

St-Nerp: Spatial-Temporal Neural Representation Learning With Prior Embedding for Patient-Specific Imaging Study. arXiv (Cornell University) (2024)

Qiu, LiangShen, LiyueLiu, LianliLiu, JunyanChen, YizhengXing, Lei

biomedical imagingimage representationpatient-specific imaging studyspatial-temporal neural representationneurosciencemedical imaging

Where Does Auto-Segmentation for Brain Metastases Radiosurgery Stand Today?. Bioengineering (2024)

radiation oncologybiomedical engineeringbrain metastasesoncology

Adaptive Region-Specific Loss for Improved Medical Image Segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence (2023)

Yizheng ChenLequan YuJen-Yeu WangNeil PanjwaniJean-Pierre ObeidWu LiuLianli LiuNataliya KovalchukMichael Francis GensheimerLucas Kas VitzthumBeth M. BeadleDaniel T. ChangQuynh-Thu LeBin HanLei Xing

pattern recognitioncomputer sciencemachine learningmachine intelligencedeep learningadaptive region-specific losspattern analysis

Modeling Linear Accelerator (Linac) Beam Data by Implicit Neural Representation Learning for Commissioning and Quality Assurance Applications. Medical Physics (2023)

Lianli LiuLiyue ShenYong YangEmil SchülerWei ZhaoGordon WetzsteinLei Xing

engineeringquality assurance applicationsradiation oncologyimplicit neural representationaccelerator technologymachine learningbeam dataapplied physicsmodeling and simulationlinear accelerator

1
2
10 / page

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University of North Carolina at Chapel Hill

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imrt/vmat optimization

Junghoon Lee

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James Lamb

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University of California, Los Angeles

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