Table of Contents

.- A Lightweight Optimization Framework for Estimating 3D Brain Tumor Infiltration..- A Data-Driven Approach to Optimise Parameters of a Computational Digital Twin Model in Response to SBRT on MR-Linac..- FMIC-AI: Annotation-Free Tumor Cell Detection in Fluorescence Microscopy via Self-Supervised Anomaly Detection..- Score-based Diffusion Model for Unpaired Virtual Histology Staining..- Redefining Spectral Unmixing for In-Vivo BrainTissue Analysis from Hyperspectral Imaging..- CT Image Segmentation Using Frequency Domain Feature-Assisted Selective Long Memory State Space Model..- Towards Robust Skin Lesion Classification: Lesion Segmentation, Mole Collision Simulation and Hierarchical learning..- Key Clinical Parameters Detection and Ovarian Tumor Benign/Malignant Classification in Multi-Modal Ultrasound Images via a Multi-Task Model..- OG-SAM: Enhancing Multi-Organ Segmentation with Organogenesis-Based Adaptive Modeling..- CoMoSeg: Anatomical Consistency and Cross Modality Guidance for Robust Brain Tumor Segmentation Using Partially Labeled MR Sequences..- Region-aware Diagnosis of Clinically Significant Prostate Cancer via Semi-supervised Learning Segmentation..- GraphMMP: A Graph Neural Network Model with Mutual Information and Global Fusion for Multimodal Medical Prognosis..- Dual-Guided 3D Liver CT Image Generation for Medical Analysis..- HaDM-ST: Histology-Assisted Differential Modeling for Spatial Transcriptomics Generation..- Projection-Driven Robust Motion Compensation for CBCT Using a Patient-Specific Model Learned from Prior Scans..- Revealing New Possibilities for Breast MRI Enhancement: Mamba-Driven Cross-Attention GAN with VMKANet..- Hierarchical Brain Structure Modeling for Predicting Genotype of Glioma.

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