洪哲倫

Automated Clinical Summarization of Ophthalmology Conversations Using Whisper and Language Models

生物醫學資訊研究所

語音辨識、大型語言模型、參數高效微調、SOAP報告、檢索增強生成、Speech Recognition、Large Language Models、Parameter-Efficient Fine Tuning、SOAP Report Generation、Retrieval-Augmented Generation

Predicting Rotator Cuff Tear Reparability from Preoperative MRI and X-Ray Images Using Deep Learning

生物醫學資訊研究所

旋轉肌腱斷裂、不可修補旋轉肌腱斷裂、可修補性、多模態學習、深度學習、磁振造影、X光、多頭自注意力、合成醫學影像、預訓練策略、醫學影像分析、Rotator cuff tear、irreparable rotator cuff tear、reparability、multimodal learning、deep learning、MRI、X-ray、multi-head self-attention、synthetic medical imaging、pretraining strategy、medical image analysis

Deep Learning for Ankle Fracture Identification on X-ray Images: Focus on Bimalleolar and Trimalleolar Fractures

生物醫學資訊研究所

踝關節骨折診斷、X光影像、多視角分類模型、遷移學習、融合策略、ankle fracture diagnosis、radiographic images、multi-view classification model、transfer learning、fusion strategies

Deep Learning Approach for Diagnosing Heart Disease Using Cardiac Color Doppler Ultrasound

生物醫學資訊研究所

都卜勒超音波、心肌運動分析、深度學習、心臟衰竭、醫學影像處理、Doppler Ultrasound、Myocardial motion analysis、Deep Learning、Heart Failure、Medical Image Processing

Method for Automatic Generation of Liver Tumor CT Scan Reports Based on Generative Artificial Intelligence

生物醫學資訊研究所

肝癌、電腦斷層掃描影像、放射學報告、影像處理、自然語言處理、大型語言模型、Liver cancer、CT imaging、Radiology reports、Image Processing、Natural Language Processing、Large Language Models

Enhancing Non-IID Data in Federated Learning Using Heterogeneous Model and Knowledge Distillation

生物醫學資訊研究所

聯邦學習、知識蒸餾、異質模型、非獨立同分佈、條件式生成對抗網路、Federated Learning、Knowledge Distillation、Heterogeneous Network、Not Identically and Independently Distributed、Conditional Generation Adversarial Network

A High Precision Symptom Prediction and Diagnosis of Atrial Fibrillation Using CNN and LSTM with Multimodal Feature Fusion Technique

生物醫學資訊研究所

多模態、深度學習、心臟衰竭、心臟超音波、訊號分析、影像分割、Multimodal、Deep Learning、Heart Failure、Cardiac Ultrasound、Signal analysis、Image Segmentation

Skin Disease Classification Using Transfer Learning Model and Fusion Strategy

生物醫學資訊研究所

遷移學習、特徵融合、皮膚病、分類、機器學習、模糊排名、transfer learning、feature fusion、skin disease、classification、machine learning、fuzzy rank

Attention-Based Deep Learning Models for Detecting Long-Term Effects Misinformation of COVID-19

生物醫學資訊研究所・共同指導：吳俊穎

fuzzy ranks、pre-train language models(PLMs)、misinformation、attention mechanism、模糊排名、預訓練語言模型(PLMs)、COVID-19、假消息辨識、注意力機制

A Voting Strategy for Classifying Major Depressive Disorder Based on Facial Micro-Expressions Using Deep Learning and Machine Learning Techniques

生物醫學資訊研究所

深度學習、機器學習、電腦視覺、憂鬱症、臉部表情分析、臉部微表情、deep learning、machine learning、computer vision、depression、facial expression analysis、facial micro-expressions

Detection of Electric Current Signal Decay in Continuous Glucose Monitoring using Machine Learning Algorithms

生物醫學資訊研究所

連續血糖監測、生物感測器、機器學習、決策樹、隨機森林、XGBoost、Diabetes、Continuous Glucose Monitoring、Biosensor、Machine Learning、Classification、Decision Tree、Random Forest、Signal Decay

Fatty Liver Recognition Using Deep Learning in Ultrasound Images

生物醫學資訊研究所

脂肪肝、超音波影像、深度學習、影像切割、紋理分析、電腦輔助診斷、Fatty liver、Ultrasound image、Deep learning、Image segmentation、Texture analysis、Computer aided diagnosis

Accelerate NGTDM Algorithm for Feature Extraction on Magnetic Resonance imaging

生物醫學資訊研究所

平行運算、圖形顯示卡、鄰域灰度差矩陣、特徵擷取、乳房核磁共振影像、Parallel Computing、GPU、NGTDM、Feature Extraction、Breast MRI