盧家鋒

Chia-Feng Lu・生物醫學暨工程學院・生物醫學影像暨放射科學系

碩士平均畢業時長
2.47 年
中位數 2.04 年・13 人
博士平均畢業時長
4.82 年
中位數 4.50 年・5 人
收錄論文
18 篇
109–114 學年度
全校中位數(供對照)
碩士 2.10・博士 6.11 年

畢業時長趨勢

每學年度畢業人數

只計入有論文收錄的畢業生;中途休學或更換指導教授的學生不會出現在這裡。

研究關鍵字

Radiomics放射組學diffusion tensor imagingIschemic Stroke磁振造影magnetic resonance imagingDeepSurv乳癌Breast cancertransfer learning電腦斷層機器學習Catheter ablationComputed tomographyMachine learning深度學習deep learning擴散張量影像functional magnetic resonance imagingfunctional connectivity失語症弓狀束AphasiaRepetitive transcranial magnetic stimulationArcuate fasciculus影像組學顱內動脈粥狀硬化狹窄缺血性腦中風縱向監測三維血管量化一致性相關係數線性混合模型Intracranial Atherosclerotic StenosisLongitudinal MonitoringThree-Dimensional Vessel QuantificationConcordance Correlation CoefficientLinear Mixed Models缺血性中風FK506結合蛋白5體素形態分析血管分析FKBP5voxel-based morphometrycerebrovascular analysis止血材手術後肉芽腫復發腫瘤磁振影像組學巢狀交叉驗證模型解釋性

想看最新的研究方向與計畫經費,也可以查政府研究計畫(GRB)。

指導論文

學年度論文學制入學提交日期畢業時長
114
Quantitative Analysis of Cerebrovascular Structure in Ischemic Stroke Patients Using Time-of-Flight MR Angiography: A Longitudinal Study
生物醫學影像暨放射科學系
顱內動脈粥狀硬化狹窄、缺血性腦中風、縱向監測、三維血管量化、一致性相關係數、線性混合模型、Intracranial Atherosclerotic Stenosis、Ischemic Stroke、Longitudinal Monitoring、Three-Dimensional Vessel Quantification、Concordance Correlation Coefficient、Linear Mixed Models
碩士1132026-07-301.99 年
114
Development of Voxel-Based Morphometry and Cerebrovascular Analysis Pipelines for Mouse Brain MRI in FKBP5 Knockout Stroke Models
生物醫學影像暨放射科學系・共同指導:高瑀絜
缺血性中風、FK506結合蛋白5、磁振造影、體素形態分析、血管分析、ischemic stroke、FKBP5、magnetic resonance imaging、voxel-based morphometry、cerebrovascular analysis
碩士1132026-07-281.99 年
114
Development of an MRI Radiomics-Based Machine Learning Model for Differentiating Postoperative Granuloma from Recurrent Tumor
生物醫學影像暨放射科學系
止血材、手術後肉芽腫、復發腫瘤、磁振影像組學、巢狀交叉驗證、模型解釋性、線性混合效應模型、hemostatic materials、postoperative granuloma、recurrent tumor、MRI radiomics、nested cross-validation、Shapley additive explanations、linear mixed-effects model
碩士1132026-07-281.99 年
114
Log-File Based Independent Dose Calculation using matRad for Enhancing Patient-Specific Quality Assurance in Carbon Ion Therapy
生物醫學影像暨放射科學系
碳離子放射治療、筆形束掃描、病人專屬品質保證、獨立劑量計算、劑量重建、matRad、carbon-ion radiotherapy、pencil beam scanning、patient-specific quality assurance、independent dose calculation、log file、dose reconstruction
碩士1122026-07-282.99 年
114
Development and Validation of a Clinical–Radiomics Framework for Dose Escalation Selection in Nonmetastatic Esophageal Squamous Cell Carcinoma
生物醫學影像暨放射科學系
食道鱗狀細胞癌、同步放化療、劑量提升、放射組學、深度學習生存分析、Esophageal squamous cell carcinoma、Concurrent chemoradiotherapy、Dose escalation、Radiomics、DeepSurv
博士1102026-01-264.49 年
114
Using Tissue-Based Radiomics for Predicting Rehemorrhage After Gamma Knife Radiosurgery in Arteriovenous Malformation
生物醫學影像暨放射科學系
加馬刀放射手術、動靜脈畸形、影像組學特徵、磁振造影、再出血、Gamma Knife radiosurgery、Arteriovenous malformation、radiomic features、magnetic resonance imaging、re-hemorrhage
碩士1122026-01-162.46 年
113
Integrative Radiomics Modeling based on dynamic contrast enhancement for HER2 expression Classification and Recurrence Prediction in Breast Cancer
生物醫學影像暨放射科學系
乳癌、HER2 表現、動態對比增強磁振造影、放射影像組學、復發預測、Breast cancer、HER2 expression、Dynamic contrast-enhanced magnetic resonance imaging、Radiomics、Recurrence prediction
碩士1122025-08-122.03 年
113
Development of a Prediction System for Early Diagnosis and Overall Survival in Lung Cancer
生物醫學影像暨放射科學系
肺癌、腦轉移、遷移式學習、腫瘤相關血管、放射組學、lung cancer、brain metastasis、transfer learning、tumor-associated vasculature、radiomics
逕讀博士1082025-08-046.01 年
113
The Utilization and Usefulness of Auto-segmented Imaging Features on Cardiac Computed Tomography in Patients with Atrial Fibrillation
生物醫學影像暨放射科學系
心房顫動、電氣導管燒灼手術、電腦斷層、心外膜脂肪組織、心外膜脂肪組織密度、機器學習、Atrial fibrillation、Catheter ablation、Computed tomography、Epicardial adipose tissue、Epicardial adipose tissue density、Machine learning
博士1092025-01-214.47 年
112
Automated Deep Learning and Radiomics Approach for Identifying Etiologies of Left Ventricular Hypertrophy based on Echocardiography
生物醫學影像暨放射科學系
左心室肥厚、心肌病變、深度學習、動態影像組學、深度影像組學、left ventricular hypertrophy、hypertrophic phenocopies、deep learning、dynamic radiomics、deep learning-based radiomics
碩士1112024-07-312.00 年
112
Motor Network Integrity and Prognostic Prediction in Ischemic Stroke after Intra-Arterial Thrombectomy
生物醫學影像暨放射科學系
經動脈取栓術、功能性磁振造影、擴散張量影像、功能性腦連結、皮質脊髓束、intra-arterial thrombectomy、functional magnetic resonance imaging、diffusion tensor imaging、functional connectivity、corticospinal tract
碩士1112024-07-231.98 年
112
Feasibility Study of Transfer Learning for Automatic Lesion Detection in Digital Breast Tomosynthesis with Traditional Digital Mammography
生物醫學影像暨放射科學系
乳癌、數位乳房 X 光攝影、數位乳房斷層合成、自動檢測模型、遷移學習、Auto-detection model、Breast cancer、Digital breast tomosynthesis、Digital mammography、Transfer learning
碩士1102024-01-312.50 年
111
Functional Remodeling and Structural Predictors Associated with Language Recovery in Nonfluent Aphasic Stroke after Repetitive Transcranial Magnetic Stimulation: A Functional MRI and Tractography Study
生物醫學影像暨放射科學系
失語症、重複性穿顱磁刺激、功能性磁振影像、擴散張量影像、功能性連結、弓狀束、Aphasia、Repetitive transcranial magnetic stimulation、Functional magnetic resonance imaging、Diffusion tensor imaging、Functional connectivity、Arcuate fasciculus
逕讀博士1072023-03-194.63 年
111
Integration of CT Radiomics and Deep Learning to Predict Patient Outcomes in Non-Small Cell Lung Cancer Based on a Taiwanese Multicenter Database
生物醫學影像暨放射科學系
放射組學、非小細胞肺癌、總體存活、無惡化存活、生長因子、酪氨酸激酶抑制劑、Radiomics、Non-small cell lung cancer、Overall survival、DeepSurv、Progression free survival、Epidermal growth factor receptor、Tyrosine kinase inhibitors
博士1072023-01-314.50 年
110
Deep learning-based segmentation of atrium and epicardial fat using computed tomography in atrial fibrillation
生物醫學影像暨放射科學系
心房顫動復發、電燒、深度學習、左心房、右心房、心包膜脂肪、Atrial fibrillation recurrence、Catheter ablation、Deep learning、Left atrium、Right atrium、Epicardial fat
碩士1092022-08-172.04 年
109
Association of Language Circuits and Language Recovery After Low-Frequency Repetitive Transcranial Magnetic Stimulation in Aphasic Stroke
生物醫學影像暨放射科學系
失語症、弓狀束、重複穿顱磁刺激、擴張張量影像、神經纖維追蹤術、aphasia、arcuate fasciculus、repetitive transcranial magnetic stimulation、diffusion tensor imaging、tractography
碩士1082021-09-212.14 年
109
Combine Brain CT with Machine Learning to Predict Symptoms and Prognosis after Intracranial Hemorrhage
生物醫學影像暨放射科學系・共同指導:黃正仲、莊惠燕
顱內出血、電腦斷層、預後預測、影像組學、機器學習、intracranial hemorrhage、computed tomography、prognosis prediction、radiomics、machine learning
碩士1052021-01-284.49 年
109
Predicting Response of Vestibular Schwannoma to Gamma Knife Radiosurgery Using Magnetic Resonance Radiomics
生物醫學影像暨放射科學系
影像組學、Radiomics
碩士1062021-01-253.49 年