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

This two-volume set LNAI 14844-14845 constitutes the refereed proceedings of the 22nd International Conference on Artificial Intelligence in Medicine, AIME 2024, held in Salt Lake City, UT, USA, during July 9-12, 2024.

The 54 full papers and 22 short papers presented in the book were carefully reviewed and selected from 335 submissions.

The papers are grouped in the following topical sections:

Part I: Predictive modelling and disease risk prediction; natural language processing; bioinformatics and omics; and wearable devices, sensors, and robotics.

Part II: Medical imaging analysis; data integration and multimodal analysis; and explainable AI.

.- 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 wiló