Artificial Intelligence in Medicine: 22nd International Conference, AIME 2024, Salt Lake City, UT, USA, July 912, 2024, Proceedings, Part II 2024 ed. [Pehme köide]

.- 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.