Lianli Liu

ORCID: 0000-0002-1095-0953
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About
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Research Areas
  • Crystallization and Solubility Studies
  • X-ray Diffraction in Crystallography
  • Medical Imaging Techniques and Applications
  • Advanced Radiotherapy Techniques
  • Advanced MRI Techniques and Applications
  • Metal-Organic Frameworks: Synthesis and Applications
  • Magnetism in coordination complexes
  • Gas Sensing Nanomaterials and Sensors
  • Multicomponent Synthesis of Heterocycles
  • Advanced X-ray and CT Imaging
  • Chemical Synthesis and Reactions
  • Spinal Fractures and Fixation Techniques
  • Polyoxometalates: Synthesis and Applications
  • Luminescence Properties of Advanced Materials
  • Spine and Intervertebral Disc Pathology
  • Radiomics and Machine Learning in Medical Imaging
  • Crystallography and molecular interactions
  • Management of metastatic bone disease
  • Medical Imaging and Analysis
  • Dye analysis and toxicity
  • Sulfur-Based Synthesis Techniques
  • Synthesis and biological activity
  • Bauxite Residue and Utilization
  • Metal complexes synthesis and properties
  • Advanced Numerical Analysis Techniques

Stanford University
2021-2025

Stanford Medicine
2024-2025

Science and Technology Department of Sichuan Province
2024

University of Michigan
2015-2021

Bohai University
2009-2019

Xi'an Jiaotong University
2014

Defining the loss function is an important part of neural network design and critically determines success deep learning modeling. A significant shortcoming conventional functions that they weight all regions in input image volume equally, despite fact system known to be heterogeneous (i.e., some can achieve high prediction performance more easily than others). Here, we introduce a region-specific lift implicit assumption homogeneous weighting for better learning. We divide entire into...

10.1109/tpami.2023.3289667 article EN IEEE Transactions on Pattern Analysis and Machine Intelligence 2023-06-26

Four new d10 metal–organic coordination polymers tuned by the "V"-shaped tri-pyridyl–bis-amide ligands with different spacers, namely, [Zn(L1)(BDC)]·H2O (1), [Cd(L1)(BDC)]·H2O (2), [Zn(L2)(BDC)] (3) and [Cd(L2)(BDC)] (4) (L1 = N,N′-bis(pyridine-3-yl)pyridine-2,6-dicarboxamide, L2 N,N′-bis(pyridine-3-yl)pyridine-3,5-dicarboxamide, H2BDC 1,4-benzenedicarboxylic acid) have been synthesized under hydrothermal conditions. In complexes 1 2, metal ions are linked L1 to form left- right-helical...

10.1039/c2ce26892b article EN CrystEngComm 2013-01-01

Dosimetric commissioning and quality assurance (QA) for linear accelerators (LINACs) present a significant challenge clinical physicists due to the high measurement workload stringent precision standards. This is exacerbated radiosurgery LINACs because of increased uncertainty more demanding setup accuracy small-field beams. Optimizing physicists' effort during beam measurements while ensuring measured data crucial efficiency patient safety. To develop LINAC model that embeds prior knowledge...

10.1002/mp.17617 article EN Medical Physics 2025-01-15

Abstract Background For patients with spine metastases, stereotactic radiosurgery (SRS) provides excellent local control and pain response. Despite increasing use of this treatment modality, there is no consensus on the optimal dose fractionation SRS for efficacy toxicity. We have initiated a single-center phase III randomized trial that compares two regimens similar biological equivalent (BED) to determine isolated effect control. Methods Patients one three cervical, thoracic, or lumbar...

10.1186/s12885-025-13655-6 article EN cc-by BMC Cancer 2025-02-21

A technique for generating MRI-derived synthetic CT volumes (MRCTs) is demonstrated in support of adaptive liver stereotactic body radiation therapy (SBRT). Under IRB approval, 16 subjects with hepatocellular carcinoma were scanned using a single MR pulse sequence (T1 Dixon). Air-containing voxels identified by intensity thresholding on T1-weighted, water and fat images. The envelope the anterior vertebral bodies was segmented from image fuzzy-C-means (FCM) used to classify each non-air...

10.1088/1361-6560/aa5059 article EN Physics in Medicine and Biology 2017-03-17

Detection and segmentation of brain metastases (BMs) play a pivotal role in diagnosis, treatment planning, follow-up evaluations for effective BM management. Given the rising prevalence cases its predominantly multiple onsets, automated is becoming necessary stereotactic radiosurgery. It not only alleviates clinician’s manual workload improves clinical workflow efficiency but also ensures safety, ultimately improving patient care. Recent strides machine learning, particularly deep learning...

10.3390/bioengineering11050454 article EN cc-by Bioengineering 2024-05-03

Magnetic resonance imaging (MRI) is gaining popularity in guiding radiation treatment for intrahepatic cancers due to its superior soft tissue contrast and potential of monitoring individual motion liver function. This study investigates a deep learning-based method that generates synthetic CT volumes from T1-weighted MR Dixon images support MRI-based radiotherapy planning. Training neutral networks this purpose has been challenged by mismatches between different organ filling status. work...

10.1088/1361-6560/ab8cd2 article EN Physics in Medicine and Biology 2020-04-24

The hydrothermal reaction of CoCl2 with N,N′-bis(pyridine-3-yl)pyridine-3,5-dicarboxamide (L) and 1,3,5-benzenetricarboxylic acid (H3BTC) mixed ligands affords two novel polynuclear cobalt cluster-based metal–organic frameworks (MOFs), [Co3(L)2(BTC)2(H2O)2]·6H2O (1) {[Co2(L)(BTC)(OH)]·2.5H2O}2 (2). Single crystal X-ray diffraction analysis reveals that the CoII ions in complex 1 are connected by BTC anions a four-coordinated mode to form dimensional (2D) undulating layer based on dinuclear...

10.1039/c3ra41552j article EN RSC Advances 2013-01-01

Using MRI for radiotherapy treatment planning and image guidance is appealing as it provides superior soft tissue information over CT scans avoids possible systematic errors introduced by aligning MR to images. This study presents a method that generates Synthetic (MRCT) volumes performing probabilistic classification of voxels from data using single imaging sequence (T1 Dixon). The intensity overlap between different tissues on images, major challenge voxel-based MRCT generation methods,...

10.1088/1361-6560/62/8/2935 article EN Physics in Medicine and Biology 2017-03-17

Separating bone from air in MR data is one of the major challenges using images to derive synthetic CT. The problem further complicated when anatomic regions filled with are altered across scans due mobility, for instance, pelvic regions, thereby estimated an ultrashort echo time (UTE) sequence invalid other image series acquired multispectral classification. This study aims develop and investigate a female shape model identify low intensity MRI where unlikely be present support CT...

10.1088/0031-9155/61/1/169 article EN Physics in Medicine and Biology 2015-12-01

Abstract Purpose To develop a geometry‐informed deep learning framework for volumetric MRI with sub‐second acquisition time in support of 3D motion tracking, which is highly desirable improved radiotherapy precision but hindered by the long image time. Methods A 2D–3D network an explicitly defined geometry module that embeds geometric priors k‐space encoding pattern was investigated, where 2D generation first augmented sparsely sampled dataset generating new representations underlying...

10.1002/mp.15822 article EN Medical Physics 2022-06-29

Abdominal organ motions introduce geometric uncertainties to gastrointestinal radiotherapy. This study investigated slow drifting motion induced by changes of internal anatomic arrangements using a 3D radial MRI sequence with scan length 20 min. Breathing and cyclic GI were first removed through multi-temporal resolution image reconstruction. Slow analysis was performed an time series consisting 72 volumes temporal sampling rate 17 s. B-spline deformable registration align the reference...

10.1088/1361-6560/abef42 article EN Physics in Medicine and Biology 2021-03-16

Abdominal organ motions introduce geometric uncertainties to radiotherapy. This study investigates a multi-temporal resolution 3D motion prediction scheme that accounts for both breathing and slow drifting in the abdomen support of MRI-guided Ten-minute MRI scans were acquired 8 patients using volumetric golden-angle stack-of-stars sequence. The first five-minutes was used patient-specific modeling. Fast modeled from high temporal radial k-space samples, which served as navigator signal sort...

10.1088/1361-6560/ac1f37 article EN Physics in Medicine and Biology 2021-08-19

Linear accelerator (Linac) beam data commissioning and quality assurance (QA) play a vital role in accurate radiation treatment delivery entail large number of measurements using variety field sizes. How to optimize the effort acquisition while maintaining high medical physics practice has been sought after.

10.1002/mp.16212 article EN Medical Physics 2023-01-09

Abstract Sodium poly(aspartic acid) (PASP) was investigated for application in the diffusive gradients thin films (DGT) technique as a new binding phase (PASP DGT) measurement of Cd2+ waters. The uptake PASP DGT increased linearly with time (r2 = 0.9989), DGT-labile fraction (Ψ) 97.57 ± 1.45% synthetic solution. Ψ values were measured spiked river water (48.65 2.26%) and domestic wastewater (26.71 1.25%). capacity decreased increasing ionic strength, whereas it remained fairly constant pH...

10.1246/cl.2012.1471 article EN Chemistry Letters 2012-11-01

Octahedral Atacamite (Cu2Cl(OH)3) microcrystals have been successfully fabricated via a convenient hydrothermal route in the absence of any external inorganic additives or organic structure-directing agents. Powder X-ray diffraction, scanning electron microscopy and Fourier transform infrared spectroscopy spectra are used to characterise various properties obtained microcrystals. It is found that morphologies strongly depend on conditions, which urea plays an important role during whole...

10.1049/mnl.2010.0217 article EN Micro & Nano Letters 2011-03-10
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