Fajin Lv

the first affiliated hospital of chongqing medical university

H指数:5

被引数:48

个人简介

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教育背景

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工作经历

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荣誉奖项

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Non-Nodular CT Patterns of Solid Lung Cancer in the Early Growth Phase: A Two-Center Retrospective Study

实体肺癌早期生长阶段的非结节状CT模式：一项双中心回顾性研究

Diagnostics

IF3.3

2026-10-140

Longitudinal CT-derived growth metrics associated with invasive lung adenocarcinoma in subsolid pulmonary nodules

亚实性肺结节中与浸润性肺腺癌相关的纵向CT衍生生长指标

BMC Medical Imaging

IF3.2

2026-10-030

OAAI

Comparison of Pulmonary Nodule Morphology on Pre-Contrast and Delayed Post-Contrast Stack-of-Spirals Ultrashort Echo Time MRI

对比增强前和延迟增强后螺旋堆叠超短回波时间MRI中的肺结节形态学比较

Diagnostics

IF3.3

2026-09-300

Pretreatment Ki67-to-ADC Ratio Predicts Prognosis in Breast Cancer Patients Receiving Neoadjuvant Chemotherapy: A Retrospective Cohort Study

术前Ki67-ADC比值预测接受新辅助化疗的乳腺癌患者预后：一项回顾性队列研究

Current Oncology

IF3.4

2026-09-030

Integrated Radiologic, Pathologic, and Transcriptomic Analysis of Lymph Node Metastasis Potential in Small (≤3 cm) Lung Adenocarcinoma

小尺寸（≤3 cm）肺腺癌淋巴结转移潜能的影像学、病理学和转录组学综合分析

Cancers

IF4.4

2026-08-280

Beyond Bone Density Alone: Opportunistic Identification of Vertebral Compression Fractures in Breast Cancer Survivors Using Artificial Intelligence-Derived Vertebral Bone Density and Paraspinal Muscle–Fat Metrics

超越骨密度本身：利用人工智能衍生的椎骨骨密度和椎旁肌肉-脂肪指标在乳腺癌幸存者中识别机会性椎体压缩性骨折

Journal of Clinical Medicine

IF2.9

2026-08-140

A Novel Machine Learning-Based Semi-Automated Phantom-Less QCT Model for Osteoporosis Screening on 100 kVp Ultra-Low-Dose Chest CT: A Phantom Study

基于机器学习的新型半自动化无模体QCT模型用于骨质疏松筛查的100 kVp超低剂量胸部CT：一项模体研究

Academic Radiology

IF3.9

2026-08-110

PRE

Prediction of Osteoporosis at the Sacrum Using Opportunistic CT of the Abdomen and Pelvis: A Retrospective Feasibility Study in 277 Patients Comparing CT and QCT Data

利用腹部和盆腔机会性CT预测骶骨骨质疏松：一项比较CT和QCT数据的277例患者回顾性可行性研究

Journal of Clinical Medicine

IF2.9

2026-05-010

OAAI

Ultrasound–Clinical Machine Learning Models for Differentiating Early Cervical Cancer from Myoma: A Retrospective Exploratory Study

超声-临床机器学习模型在区分早期宫颈癌与子宫肌瘤中的应用：一项回顾性探索性研究

Journal of Clinical Medicine

IF2.9

2026-04-270

OAAI

Optimizing Layer Thickness in Multi-Planar Volume Reconstruction for Distinguishing Invasive Adenocarcinoma from Non-Invasive and Minimally Invasive Lesions in Pulmonary Nodules (≤15 mm): A Comparative Study with Conventional Lung Window Settings

优化多平面体积重建中区分肺结节（≤15 mm）浸润性腺癌与非浸润性和微浸润性病变的层厚：与常规肺窗设置的对比研究

Diagnostics

IF3.3

2026-01-100

OAAI

Saliency-aware multi-resolution graph fusion via self-supervised contrastive learning for robust ultrasound endometrial cancer diagnosis

基于自监督对比学习的显著性感知多分辨率图融合，用于鲁棒性超声子宫内膜癌诊断

Information Fusion

IF15.5

2025-10-120

PRE

A windowing-based multi-view u-net for tumor segmentation in cone-beam breast CT

BIOMEDICAL SIGNAL PROCESSING AND CONTROL

IF4.9

2025-05-010

PRE

Nomogram for preoperative differentiation of benign and malignant breast tumors using contrast-enhanced cone-beam breast CT (CE CB-BCT) quantitative imaging and assessment features

RADIOLOGIA MEDICA

IF4.8

2024-03-210

PRE

Computed tomography-based 3D convolutional neural network deep learning model for predicting micropapillary or solid growth pattern of invasive lung adenocarcinoma

基于ct的三维卷积神经网络深度学习模型预测浸润性肺腺癌微乳头状或实性生长模式

RADIOLOGIA MEDICA

IF4.8

2024-03-212

OAAI

Fajin Lv

个人简介

教育背景

工作经历

荣誉奖项

研究方向