鍾翊方

Automated Coronary Artery Calcium Scoring on Low-Dose CT Using Deep Learning

生物醫學資訊研究所・共同指導：梁恭豪

冠狀動脈鈣化、Agatston score、低劑量電腦斷層掃描、三維深度學習、心血管風險分層、Hounsfield Unit、coronary artery calcium、3D segmentation、low-dose CT、cardiovascular risk stratification、deep learning

Longitudinal Assessment of Canine Eruption Using Deep Learning-Based Registration of Panoramic Radiographs

生物醫學資訊研究所・共同指導：Reinhilde Jacobs

全景 X 光影像、犬齒萌發、影像配準、深度學習、TransMorph、CBCT、縱向評估、panoramic radiograph、canine eruption、image registration、deep learning、longitudinal assessment

Deep Learning-Based Assessment of Airway Patency in Sleep Endoscopy

生物醫學資訊研究所

阻塞型睡眠呼吸中止症 (OSA)、藥物誘導睡眠內視鏡 (DISE)、氣道分割、課程學習、MVC-Net、Obstructive Sleep Apnea (OSA)、Drug-Induced Sleep Endoscopy (DISE)、Airway Segmentation、Curriculum Learning

Predicting Diabetic Patient Survival using Bilateral Fundus Imaging and Deep Learning Foundation Models

生物醫學資訊研究所

糖尿病、深度學習、DualEyeNet、Diabetes、deep learning

Unified Attention Framework for Integrating Drug Substructures and Genomic Features in Cancer Drug Response Prediction

生物醫學資訊研究所

癌症藥物反應預測、深度學習、藥物子結構、特徵嵌入、領域適應、Cancer drug response prediction、Deep-learning、Drug Substructures、Feature embedding、Domain adaption

Introduce multiple semi-supervised learning strategies to renal pathology image segmentation

生物醫學資訊研究所

腎臟病理切片、腎絲球、腎小管、語意切割、半監督式學習、CAMANet、renal pathology、glomeruli、renal tubules、semantic segmentation、semi-supervised learning

Enhancing Organ Area Supervision to Guide for Spleen Injury Detection in 3D Abdominal CT Scans

生物醫學資訊研究所

脾臟損傷、電腦斷層影像、AAST損傷量表、深度學習、影像切割、形態學操作、splenic injury、computed tomography (CT)、AAST Organ Injury Scale (OIS)、deep learning (DL)、image segmentation、morphology operation

Dual Graph Convolutional Networks and PET Imaging for Enhancing Alzheimer's Disease Diagnosis

生物醫學資訊研究所

阿茲海默症、輕度認知障礙、圖卷積網路、失智症、正子斷層造影、深度學習、分類模型、Alzheimer's disease (AD)、mild cognitive impairment (MCI)、graph convolutional network (GCN)、dementia、positron emission tomography (PET)、deep learning、classification model

Detection of spread through air spaces based on federated learning and staining regularization

生物醫學資訊研究所

腫瘤氣道擴散、物件偵測、HarmoFL、聯邦式學習、Spread through air spaces、Object Detection、Federated Learning

Deep learning approaches for fracture detection in pelvic x-ray images

生物醫學資訊研究所

Pelvic radiographs (PXRs)、骨折偵測、物件偵測、影像分割、Patch、fracture detection、object detection、image segmentation

Application of a deep learning algorithm for fracture detection on plain radiographs

生物醫學資訊研究所

深度學習、醫學影像、外傷、骨折、電腦輔助診斷、Deep learning、medical image、trauma、fracture、computer-aided diagnosis

Introduce GAN learning strategy to perform semantic segmentation of kidney pathology images

生物醫學資訊研究所

生成對抗網路、腎臟病理切片、語義分割、資料擴增、殘差模塊、GAN、kidney pathology images、semantic segmentation、data augmentation、residual block

Apply transfer learning to hip fracture detection in pelvic X-ray image

生物醫學資訊研究所

深度學習、遷移學習、髖關節骨折、生成對抗網路、deep learning、transfer learning、hip fracture、generative adversarial network

Medical Data Augmentation Using Generative Adversarial Networks

生物醫學資訊研究所

髖部骨折、生成式對抗網路、影像生成、醫學影像、資料擴增、條件式生成、Hip Fracture、GAN、Image Synthesis、Medical Imaging、Data Augmentation、Conditional Generation

Investigation of RNA editing on cancer transcriptome

生物醫學資訊研究所・共同指導：林振慶

核醣核酸編輯、次世代定序、微型核醣核酸、乳癌、RNA editing、NGS、miRNA、BRCA

Identification of Driver Gene Sets in Cancer by Designing Quadratic Objective Function

生物醫學資訊研究所・共同指導：鄭維中

驅動基因組、高互斥性、高涵蓋性、二次目標函式、長尾分佈、driver gene sets、high exclusivity、high coverage、quadratic objective function、long tail distribution

Using deep learning model to identify glomerulus on renal biopsy pathological images

生物醫學資訊研究所・共同指導：莊家峰

腎絲球、影像處理、深度學習、醫學影像、AlexNet、卷積神經網路、區域檢測基於卷積神經網路之特徵、Glomerulus、Image Recognition、Deep Learning、Medical Image、Convolutional Neural Network、Regions with CNN features

Distinguish EGFR+ and EGFR- Patients in Lung adenocarcinoma using CT Images

生物醫學資訊研究所

電腦斷層攝影影像、CT Images

Fuzzy modeling for discovering different types of marker genes from time-series mesenchymal stem cell NGS data

生物醫學資訊研究所

間質幹細胞、模糊模型、次世代定序、單調基因樣板、Mesenchymal Stem Cells、Fuzzy modeling、NGS、monotonic patterns

Introducing machine-learning concept into the design of an approach for predicting the effect of missense mutations

生物醫學資訊研究所

錯義突變、機器學習、錯義突變影響性預測工具、missense mutation、machine learning、missense mutation effect prediction tools

Using Bioinformatics Methods Investigate c-Myc and Kaposi’s Sarcoma Herpesvirus Cofactor Kaposin B Co-operating to Elicit Angiogenesis through Modulating MiRNome Traits of Endothelial Cells and Find the Driver- / Prognosis- Related Genes in Colorectal Cancer

微生物及免疫學研究所・共同指導：王學偉

生物資訊學、卡波西氏肉瘤、微小核醣核酸、大腸直腸癌、驅動基因、Bioinformatics、Kaposi’s Sarcoma Herpesvirus、MicroRNA、Colorectal Cancer、Driver Genes

FusionBase: identification of fusion genes using cancer RNA sequencing data

生物醫學資訊研究所・共同指導：王學偉

轉錄體定序、融合基因、融合基因偵測工具、融合基因資料庫、RNA-Seq、Fusion gene、Fusion gene detection、Fusion gene database

Airway Microbiota Analysis Using 16S rRNA Gene Sequencing Data for Childhood Asthma

生物醫學資訊研究所・共同指導：王學偉

16S rRNA、宏觀基因體、次世代定序、氣喘、Metagenomics、Next Generation Sequencing、Asthma

Development of Mathematical Models for Investigating Permeability of Blood-brain Barrier

生物醫學資訊研究所

聚焦式超音波、血腦障壁、動態對比增強磁共振成像、一般動力學模型、兩階段動力學模型、Focused ultrasound、Blood-brain barrier、dynamic contrast enhanced MRI、general kinetic model、Two-stage GKM

Selection of Useful Features with Non-linear Dependency Using a Multi-objective Evolutionary Optimization Algorithm

生物醫學資訊研究所

基因選取、多目標最佳化演化式演算法、非線性關聯性、gene selection、multiobjective evolutionary optimization algorithm、non-linear relationship

A comprehensive evaluation of fusion gene detection algorithms in paired-end RNA-Seq data

生物醫學資訊研究所・共同指導：王學偉

轉錄體定序、融合基因、融合基因偵測工具、RNA-Seq、fusion gene、fusion gene detection tools

Integrative Analytical RNA-Seq toolkit and RNA-Seq database for lncRNA research

生物醫學資訊研究所・共同指導：王學偉

長鏈非編碼核糖核酸、次世代定序、資料庫、lncRNA、RNA-Seq、Database

Using Exome-Seq data to identify cancer driver mutations / genes

生物醫學資訊研究所・共同指導：王學偉

外顯子定序、驅動突變、驅動基因、exome sequencing、driver mutation、driver gene

Identification of useful features for predicting linear B-cell epitopes by machine-learning approaches

生物醫學資訊研究所・共同指導：楊永正、NikhilR.Pal

B細胞抗原決定位、機器學習、支持向量機、隨機森林、特徵篩選、B-cell epitope、machine learning、support vector machine、random forests、feature selection

Integrated Approaches to Dimensionality Reduction and System Identification using Fuzzy Rule Based Framework

生物醫學資訊研究所

特徵選取、維度縮減、特徵衰減、模糊規則、特徵調變器、特徵相關性、冗餘控制、Feature selection、Dimensionality reduction、Feature attenuating、Fuzzy rules、Feature modulators、Feature correlation、Redundancy control

Prediction of microRNA target genes using hierarchical classification system

生物醫學資訊研究所

微核醣核酸、機器學習、標靶基因、miRNA、machine learning、target gene

In silico Approaches in Identification of Biomarkers from Gene Expression Data and the Applications

生物醫學資訊研究所・共同指導：NikhilR.Pal

生物標誌基因、微陣列、基因表現資料、Biomarker、Microarray、Gene Expression Data、Gene Dominant/Dormant Index、Group Marker Index、GDI、GMI

Construction of an all-in-one microRNA analysis pipeline for smRNA-Seq data: Pediatric brain tumors as an example

生物醫學資訊研究所・共同指導：王學偉

次世代定序、微型核醣核酸、NGS、miRNA

RNA-Seq for Discovery of Chimaeric Transcripts in Atypical Teratoid Rhabdoid Tumor

生物醫學資訊研究所・共同指導：王學偉

融合基因、次世代定序、非典型畸胎橫紋細胞瘤、fusion gene、next generation sequencing、atypical teratoid rhabdoid tumor

Exome-Seq for Deciphering Chromosome Abnormalities in Research of Atypical Teratoid Rhabdoid Tumor

生物醫學資訊研究所・共同指導：王學偉

非典型性畸胎樣橫紋肌肉瘤、高通量定序、Atypical teratoid rhabdoid tumor、Next generation sequencing、exome-sequencing