影像組學引... 導的卷積神經網路用於腎臟腫瘤分類 (Radiomics-Guided Convolutional Neural Networks for the Classification of Kidney Cancer)more

影像組學引導的卷積神經網路用於腎臟腫瘤分類 (Radiomics-Guided Convolutional Neural Networks for the Classification of Kidney Cancer)

EEGen... ：利用Transformer生成模型提升腦電圖合成技術 (EEGen: Advancing EEG Synthesis with Transformer-Based Generative Models)more

EEGen：利用Transformer生成模型提升腦電圖合成技術 (EEGen: Advancing EEG Synthesis with Transformer-Based Generative Models)

增強公平性... 於胸腔放射圖模型:透過使用自監督學習消除捷徑 (Enhancing Fairness in Chest X-ray Models: Eliminating Shortcuts through Self-Supervised Learning)more

增強公平性於胸腔放射圖模型:透過使用自監督學習消除捷徑 (Enhancing Fairness in Chest X-ray Models: Eliminating Shortcuts through Self-Supervised Learning)

使用孿生網... 路提升醫學影像人工智慧的公平性與可解釋性 (Enhancing Fairness and Interpretability in Medical Imaging AI through Siamese Neural Networks)more

使用孿生網路提升醫學影像人工智慧的公平性與可解釋性 (Enhancing Fairness and Interpretability in Medical Imaging AI through Siamese Neural Networks)

基於自監督... 學習與注意力遮罩降低胸腔X光影像的向量嵌入偏誤 (Reducing Bias in Chest X-ray Vector Embeddings Using Self-Supervised Learning with Attention-Driven Masking)more

基於自監督學習與注意力遮罩降低胸腔X光影像的向量嵌入偏誤 (Reducing Bias in Chest X-ray Vector Embeddings Using Self-Supervised Learning with Attention-Driven Masking)

利用多重注... 意力融合機制於阿茲海默症轉變的早期檢測 (Multi-attention fusion mechanisms for early detection of transitions in Alzheimer’s disease)more

利用多重注意力融合機制於阿茲海默症轉變的早期檢測 (Multi-attention fusion mechanisms for early detection of transitions in Alzheimer’s disease)

利用深度神... 經網路與人機迴圈設計基於電腦斷層掃描上區分非結核分枝桿菌造成之肺部移生與疾病 (Differentiating Between Non-tuberculous Mycobacterial Pulmonary Colonization and Disease Based on Computed Tomography Using Deep Neural Network with Human-in-the-Loop Design)more

利用深度神經網路與人機迴圈設計基於電腦斷層掃描上區分非結核分枝桿菌造成之肺部移生與疾病 (Differentiating Between Non-tuberculous Mycobacterial Pulmonary Colonization and Disease Based on Computed Tomography Using Deep Neural Network with Human-in-the-Loop Design)

利用非線性... 資料擴增方法提升超音波影像惡性肋膜積液鑑定 (Enhancing Malignancy Identification in Ultrasound Images of Pleural Effusion through Non-linear Augmentation)more

利用非線性資料擴增方法提升超音波影像惡性肋膜積液鑑定 (Enhancing Malignancy Identification in Ultrasound Images of Pleural Effusion through Non-linear Augmentation)

基於多中心... 電子病歷資料聯邦圖模型用於死亡預測 (Federated Graph Learning for Mortality Prediction Using Multi-site EHR Data)more

基於多中心電子病歷資料聯邦圖模型用於死亡預測 (Federated Graph Learning for Mortality Prediction Using Multi-site EHR Data)

利用預訓練... 語言模型改進針對英文文章不同面向之自動評分 (Harnessing the Power of Pre-Trained Language Models for Automated Essay Trait Scoring)more

利用預訓練語言模型改進針對英文文章不同面向之自動評分 (Harnessing the Power of Pre-Trained Language Models for Automated Essay Trait Scoring)

利用表徵相... 似性及機器學習在跨模態方法對氣味知覺之解析 (Decoding odor perception in the human brain with cross- and multi-modal approaches using representational similarity analysis and machine learning classifier)more

利用表徵相似性及機器學習在跨模態方法對氣味知覺之解析 (Decoding odor perception in the human brain with cross- and multi-modal approaches using representational similarity analysis and machine learning classifier)

利用孿生網... 路基於腦電波訊號之學習風格辨識 (Learning style recognition based on EEG using siamese neural network)more

利用孿生網路基於腦電波訊號之學習風格辨識 (Learning style recognition based on EEG using siamese neural network)

重症加護病... 房院內死亡和院內心臟驟停的多模態預測 (Multi-modal Prediction of In-Hospital Mortality and In-Hospital Cardiac Arrest in the Intensive Care Unit)more

重症加護病房院內死亡和院內心臟驟停的多模態預測 (Multi-modal Prediction of In-Hospital Mortality and In-Hospital Cardiac Arrest in the Intensive Care Unit)

利用類別增... 強進行胸部X光之小樣本學習 (Few-shot learning for chest X-ray using class augmentation)more

利用類別增強進行胸部X光之小樣本學習 (Few-shot learning for chest X-ray using class augmentation)