- Medical imaging analysis.- 3T to 7T Whole Brain + Skull MRI Translation with Densely Engineered U-Net Network.- A Sparse Convolutional Autoencoder for Joint Feature Extraction and Clustering of Metastatic Prostate Cancer Images.- AI in Neuro-Oncology: Predicting EGFR Amplification in Glioblastoma from Whole Slide Images using Weakly Supervised Deep Learning.- An Exploration of Diabetic Foot Osteomyelitis X-ray Data for Deep Learning Applications.- Automated Detection and Characterization of Small Cell Lung Cancer Liver Metastases on CT.- Content-Based Medical Image Retrieval for Medical Radiology Images.- Cross-Modality Synthesis of T1c MRI from Non-Contrast Images Using GANs: Implications for Brain Tumor Research.

- Harnessing the Power of Graph Propagation in Lung Nodule Detection.- Histology Image Artifact Restoration with Lightweight Transformer and Diffusion Model.- Improved Glioma Grade Prediction with Mean Image Transformation.- Learning to Predict the Optimal Template in Stain Normalization For Histology Image Analysis.- MRI Brain Cancer Image Detection Application of an Integrated U-Net and ResNet50 Architecture.- MRI Scan Synthesis Methods based on Clustering and Pix2Pix.- Supervised Pectoral Muscle Removal in Mammography Images.- TinySAM-Med3D: A Lightweight Segment Anything Model for Volumetric Medical Imaging with Mixture of Experts.

- Towards a Formal Description of Artificial Intelligence Models and Datasets in Radiology.- Towards Aleatoric and Epistemic Uncertainty in Medical Image Classification.- Ultrasound Image Segmentation via a Multi-Scale Salient Network.- Data integration and multimodal analysis.- A 360-Degree View for Large Language Models: Early Detection of Amblyopia in Children using Multi-View Eye Movement Recordings.- Enhancing Anti-VEGF Response Prediction in Diabetic Macular Edema through OCT Features and Clinical Data Integration based on Deep Learning.- Expert Insight-Enhanced Follow-up Chest X-Ray Summary Generation.- Integrating multimodal patient data into attention-based graph networks for disease risk prediction.

- Integrative analysis of amyloid imaging and genetics reveals subtypes of Alzheimer progression in early stage.- Modular Quantitative Temporal Transformer for Biobank-scale Unified Representations.- Multimodal Fusion of Echocardiography and Electronic Health Records for the Detection of Cardiac Amyloidosis.- Multi-View $k$-Nearest Neighbor Graph Contrastive Learning on Multi-Modal Biomedical Data.- Quasi-Orthogonal ECG-Frank XYZ Transformation with Energy-based models and clinical text.- Explainable AI.- Do you trust your model explanations? An analysis of XAI performance under dataset shift.- Explainable AI for Fair Sepsis Mortality Predictive Model.

- Explanations of Augmentation Methods For Deep Learning ECG Classification.- Exploring the possibility of arrhythmia interpretation of time domain ECG using XAI: a preliminary study.- Improving XAI Explanations for Clinical Decision-Making - Physicians'' Perspective on Local Explanations in Healthcare.- Manually-Curated Versus LLM-Generated Explanations for Complex Patient Cases: An Exploratory Study with Physicians.- On Identifying Effective Investigations with Feature Finding using Explainable AI: an Ophthalmology Case Study.- Towards Interactive and Interpretable Image Retrieval-Based Diagnosis: Enhancing Brain Tumor Classification with LLM Explanations and Latent Structure Preservation.- Towards Trustworthy AI in Cardiology: A Comparative Analysis of Explainable AI Methods for Electrocardiogram Interpretation.