Chenbin Liu
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View article: Comparative impact of supine vs prone positioning on dose distribution, acute toxicity, and setup error in postoperative radiotherapy for cervical cancer: a multidimensional propensity-matched cohort study
Comparative impact of supine vs prone positioning on dose distribution, acute toxicity, and setup error in postoperative radiotherapy for cervical cancer: a multidimensional propensity-matched cohort study Open
Background Postoperative radiotherapy is standard for high-risk cervical cancer, but acute toxicities—particularly gastrointestinal and hematologic—remain clinically relevant. Patient positioning may influence organ dose exposure and setup…
View article: Gene4Denovo2: an updated platform for human <i>de novo</i> mutations discovery and interpretation
Gene4Denovo2: an updated platform for human <i>de novo</i> mutations discovery and interpretation Open
De novo mutations (DNMs) drive evolution and increase biodiversity, yet concurrently act as a cryptic cause of numerous genetic diseases. Here, we present Gene4Denovo2 (https://genemed.tech/gene4denovo2/), an updated version of the Gene4De…
View article: Streamlining Thoracic Radiotherapy Quality assurance: One-Class Classification for Automated OAR Contour Assessment
Streamlining Thoracic Radiotherapy Quality assurance: One-Class Classification for Automated OAR Contour Assessment Open
Purpose Automating quality assurance (QA) for contours generated by automatic algorithms is critical in radiotherapy treatment planning. Manual QA is tedious, time-consuming, and prone to subjective experiences. Automatic segmentation redu…
View article: Critical review of patient outcome study in head and neck cancer radiotherapy
Critical review of patient outcome study in head and neck cancer radiotherapy Open
View article: C2FAU-Net: A Deep Learning Approach with Multi-scale Strategy for Automated Delineation of Organs-at-risk in Cervical Cancer High-dose Rate Brachytherapy
C2FAU-Net: A Deep Learning Approach with Multi-scale Strategy for Automated Delineation of Organs-at-risk in Cervical Cancer High-dose Rate Brachytherapy Open
Background and Purpose: Precise delineation of pelvic organs-at-risk (OARs) is crucial for high-dose-rate brachytherapy (HDR-BT) in cervical cancer treatment. While deep learning methods have shown promise in automatic delineation, substan…
View article: Critical review of patient outcome study in head and neck cancer radiotherapy
Critical review of patient outcome study in head and neck cancer radiotherapy Open
Rapid technological advances in radiation therapy have significantly improved dose delivery and tumor control for head and neck cancers. However, treatment-related toxicities caused by high-dose exposure to critical structures remain a sig…
View article: Enabling clinical use of linear energy transfer in proton therapy for head and neck cancer – A review of implications for treatment planning and adverse events study
Enabling clinical use of linear energy transfer in proton therapy for head and neck cancer – A review of implications for treatment planning and adverse events study Open
Proton therapy offers significant advantages due to its unique physical and biological properties, particularly the Bragg peak, enabling precise dose delivery to tumors while sparing healthy tissues. However, the clinical implementation is…
View article: Diffusion probabilistic priors for zero‐shot low‐dose CT image denoising
Diffusion probabilistic priors for zero‐shot low‐dose CT image denoising Open
Background Denoising low‐dose computed tomography (CT) images is a critical task in medical image computing. Supervised deep learning‐based approaches have made significant advancements in this area in recent years. However, these methods …
View article: Enabling Clinical Use of Linear Energy Transfer in Proton Therapy for Head and Neck Cancer -- A Review of Implications for Treatment Planning and Adverse Events Study
Enabling Clinical Use of Linear Energy Transfer in Proton Therapy for Head and Neck Cancer -- A Review of Implications for Treatment Planning and Adverse Events Study Open
Proton therapy offers significant advantages due to its unique physical and biological properties, particularly the Bragg peak, enabling precise dose delivery to tumors while sparing healthy tissues. However, the clinical implementation is…
View article: TG-LMM: Enhancing Medical Image Segmentation Accuracy through Text-Guided Large Multi-Modal Model
TG-LMM: Enhancing Medical Image Segmentation Accuracy through Text-Guided Large Multi-Modal Model Open
We propose TG-LMM (Text-Guided Large Multi-Modal Model), a novel approach that leverages textual descriptions of organs to enhance segmentation accuracy in medical images. Existing medical image segmentation methods face several challenges…
View article: Assessment of different head tilt angles in volumetric modulated arc therapy for hippocampus-avoidance whole-brain radiotherapy
Assessment of different head tilt angles in volumetric modulated arc therapy for hippocampus-avoidance whole-brain radiotherapy Open
Purpose In the field of radiation therapy for brain metastases, whole-brain hippocampus-avoidance treatment is commonly employed. this study aims to examine the impact of different head tilt angles on the dose distribution in the whole-bra…
View article: Dynamic Addressing Molecular Robot (DAMR): An Effective and Efficient Trial‐and‐Error Approach for the Analysis of Single Nucleotide Polymorphisms
Dynamic Addressing Molecular Robot (DAMR): An Effective and Efficient Trial‐and‐Error Approach for the Analysis of Single Nucleotide Polymorphisms Open
Accurate and efficient molecular recognition plays a crucial role in the fields of molecular detection and diagnostics. Conventional trial‐and‐error‐based molecular recognition approaches have always been challenged in distinguishing minim…
View article: Assessment of different head tilt angles in volumetric modulated arc therapy for hippocampus-avoidance whole-brain radiotherapy
Assessment of different head tilt angles in volumetric modulated arc therapy for hippocampus-avoidance whole-brain radiotherapy Open
Purpose: We aims to examine the impact of different head tilt angles on the dose distribution in the whole-brain target area and organs at risk. It also aims to determine the head tilt angle to achieve optimal radiation therapy outcomes. M…
View article: Quality assurance of organs-at-risk delineation in radiotherapy
Quality assurance of organs-at-risk delineation in radiotherapy Open
The delineation of tumor target and organs-at-risk is critical in the radiotherapy treatment planning. Automatic segmentation can be used to reduce the physician workload and improve the consistency. However, the quality assurance of the a…
View article: The Radiation Oncology NLP Database
The Radiation Oncology NLP Database Open
We present the Radiation Oncology NLP Database (ROND), the first dedicated Natural Language Processing (NLP) dataset for radiation oncology, an important medical specialty that has received limited attention from the NLP community in the p…
View article: Comparison of Different Head Tilt Angles in Tomotherapy and Volumetric Modulated Arc Therapy for Hippocampal-Avoidance Whole-Brain Radiotherapy
Comparison of Different Head Tilt Angles in Tomotherapy and Volumetric Modulated Arc Therapy for Hippocampal-Avoidance Whole-Brain Radiotherapy Open
Purpose Hippocampal-avoidance whole-brain radiotherapy (HA-WBRT) planning can present challenges. This study examines the influence of head tilt angles on the dosimetric characteristics of target and organs at risk (OARs), aiming to identi…
View article: Artificial general intelligence for radiation oncology
Artificial general intelligence for radiation oncology Open
The emergence of artificial general intelligence (AGI) is transforming radiation oncology. As prominent vanguards of AGI, large language models (LLMs) such as GPT-4 and PaLM 2 can process extensive texts and large vision models (LVMs) such…
View article: RadOnc-GPT: A Large Language Model for Radiation Oncology
RadOnc-GPT: A Large Language Model for Radiation Oncology Open
This paper presents RadOnc-GPT, a large language model specialized for radiation oncology through advanced tuning methods. RadOnc-GPT was finetuned on a large dataset of radiation oncology patient records from the Mayo Clinic in Arizona. T…
View article: Artificial General Intelligence for Radiation Oncology
Artificial General Intelligence for Radiation Oncology Open
The emergence of artificial general intelligence (AGI) is transforming radiation oncology. As prominent vanguards of AGI, large language models (LLMs) such as GPT-4 and PaLM 2 can process extensive texts and large vision models (LVMs) such…
View article: Throwing and manipulating and cheating with a DNA nano-dice
Throwing and manipulating and cheating with a DNA nano-dice Open
View article: Lantern-shaped flexible RNA origami for Smad4 mRNA delivery and growth suppression of colorectal cancer
Lantern-shaped flexible RNA origami for Smad4 mRNA delivery and growth suppression of colorectal cancer Open
View article: Monte Carlo simulation of linac using PRIMO
Monte Carlo simulation of linac using PRIMO Open
Background Monte Carlo simulation is considered as the most accurate method for dose calculation in radiotherapy. PRIMO is a Monte-Carlo program with a user-friendly graphical interface. Material and method A VitalBeam with 6MV and 6MV fla…
View article: Label-free single-particle imaging approach for ultra-rapid detection of pathogenic bacteria in clinical samples
Label-free single-particle imaging approach for ultra-rapid detection of pathogenic bacteria in clinical samples Open
Rapid detection of pathogenic bacteria within a few minutes is the key to control infectious disease. However, rapid detection of pathogenic bacteria in clinical samples is quite a challenging task due to the complex matrix, as well as the…
View article: Evaluation of Plan Robustness Using Hybrid Intensity-Modulated Radiotherapy (IMRT) and Volumetric Arc Modulation Radiotherapy (VMAT) for Left-Sided Breast Cancer
Evaluation of Plan Robustness Using Hybrid Intensity-Modulated Radiotherapy (IMRT) and Volumetric Arc Modulation Radiotherapy (VMAT) for Left-Sided Breast Cancer Open
Purpose: We aim to evaluate the robustness of multi-field IMRT and VMAT plans to target motion for left-sided BC radiotherapy. Methods: The 7-field hybrid IMRT (7F-H-IMRT) and 2-arc VMAT (2A-VMAT) plans were generated for ten left-sided BC…
View article: Predicting machine's performance record using the stacked long short‐term memory (LSTM) neural networks
Predicting machine's performance record using the stacked long short‐term memory (LSTM) neural networks Open
Purpose The record of daily quality control (QC) items shows machine performance patterns and potentially provides warning messages for preventive actions. This study developed a neural network model that could predict the record and trend…
View article: Serum exosomal miR-34a as a potential biomarker for the diagnosis and prognostic of hepatocellular carcinoma
Serum exosomal miR-34a as a potential biomarker for the diagnosis and prognostic of hepatocellular carcinoma Open
Background: Circulating exosomal microRNAs (miRNAs) are considered as potentially non-invasive biomarkers for early detection and prognosis of cancers. Due to the lack of highly sensitive and specific molecular markers, a lot of pat…
View article: A Critical Review of LET-Based Intensity-Modulated Proton Therapy Plan Evaluation and Optimization for Head and Neck Cancer Management
A Critical Review of LET-Based Intensity-Modulated Proton Therapy Plan Evaluation and Optimization for Head and Neck Cancer Management Open
View article: Exosomal microRNAs in hepatocellular carcinoma
Exosomal microRNAs in hepatocellular carcinoma Open
View article: Zinc Finger Protein CTCF Regulates Extracellular Matrix (ECM)-Related Gene Expression Associated With the Wnt Signaling Pathway in Gastric Cancer
Zinc Finger Protein CTCF Regulates Extracellular Matrix (ECM)-Related Gene Expression Associated With the Wnt Signaling Pathway in Gastric Cancer Open
Gastric cancer (GC), a leading cause of cancer-related death, is a heterogeneous disease. We aim to describe clinically relevant molecular classifications of GC that incorporate heterogeneity and provide useful clinical information. We com…
View article: Exosome in Hepatocellular Carcinoma: an update
Exosome in Hepatocellular Carcinoma: an update Open
Hepatocellular carcinoma (HCC) is a common malignant tumor in the digestive tract with limited therapeutic choices. Intercellular communication among cancer cells and their microenvironment is crucial to disease progression. Exosomes are e…