MedSoft-Diffusion: Medical Semantic-Guided Diffusion Model with Soft Mask Conditioning for Vertebral Disease Diagnosis
https://doi.org/10.1007/978-3-032-05182-0_33

MedVLM-R1: Incentivizing Medical Reasoning Capability of Vision-Language Models (VLMs) via Reinforcement Learning
https://doi.org/10.1007/978-3-032-04981-0_32

MELON: Multimodal Mixture-of-Experts with Spectral-Temporal Fusion for Long-Term MObility EstimatioN in Critical Care
https://doi.org/10.1007/978-3-032-05182-0_34

Memory-Augmented Incomplete Multimodal Survival Prediction via Cross-Slide and Gene-Attentive Hypergraph Learning
https://doi.org/10.1007/978-3-032-05127-1_31

Memory-Augmented SAM2 for Training-Free Surgical Video Segmentation
https://doi.org/10.1007/978-3-032-05127-1_32

Mesh4D: A Motion-Aware Multi-View Variational Autoencoder for 3D+t Mesh Reconstruction
https://doi.org/10.1007/978-3-032-05325-1_33

Meta-analysis guided multi-task graph transformer network for diagnosis of neurological disease and cognitive deficits
https://doi.org/10.1007/978-3-032-05162-2_44

Meta-Learning Physics-Informed Neural Networks for Personalized Cardiac Modeling
https://doi.org/10.1007/978-3-032-04927-8_33

Meta-Learning-Driven CT Morphology Disentangled Diffusion Model for Multi-Region SPECT Attenuation Correction
https://doi.org/10.1007/978-3-032-05169-1_34

Metastatic Lymph Node Station Classification in Esophageal Cancer via Prior-guided Supervision and Station-Aware Mixture-of-Experts
https://doi.org/10.1007/978-3-032-05169-1_35

MG-UNet: A Memory-Guided UNet for Lesion Segmentation in Chest Images
https://doi.org/10.1007/978-3-032-04927-8_34

MGG-Net: A Multi-Modal Feature Extraction and Global-Aware Feature Graph-Based Deep Learning Network for MGMT Status Classification in Glioma
https://doi.org/10.1007/978-3-032-04947-6_34

MIBF-Net: Multi-modal Information Balanced Fusion Network for Clinical Diagnosis via Patient Narratives and Lesion Image
https://doi.org/10.1007/978-3-032-04927-8_35

MiCo: Multiple Instance Learning with Context-Aware Clustering for Whole Slide Image Analysis
https://doi.org/10.1007/978-3-032-04927-8_36

MicroMIL: Graph-Based Multiple Instance Learning for Context-Aware Diagnosis with Microscopic Images
https://doi.org/10.1007/978-3-032-04927-8_37

Mind the Detail: Uncovering Clinically Relevant Image Details in Accelerated MRI with Semantically Diverse Reconstructions
https://doi.org/10.1007/978-3-032-04937-7_34

MindLink: Subject-agnostic Cross-Subject Brain Decoding Framework
https://doi.org/10.1007/978-3-032-05162-2_45

Minuscule Cell Detection in AS-OCT Images with Progressive Field-of-View Focusing
https://doi.org/10.1007/978-3-032-04947-6_35

Mission Balance: Generating Under-represented Class Samples using Video Diffusion Models
https://doi.org/10.1007/978-3-032-05141-7_40

MixStyleFlow: Domain Generalization in Medical Image Segmentation using Normalizing Flows
https://doi.org/10.1007/978-3-032-04947-6_36

MM-DINOv2: Adapting Foundation Models for Multi-Modal Medical Image Analysis
https://doi.org/10.1007/978-3-032-04984-1_31

MMBNA: Masked Multiview Brain Network Analysis via Disentangling for Alzheimer’s Early Diagnosis with fMRI
https://doi.org/10.1007/978-3-032-05162-2_46

MNM: Multi-level Neuroimaging Meta-analysis with Hyperbolic Brain-Text Representations
https://doi.org/10.1007/978-3-032-04927-8_38

MOC: Meta-Optimized Classifier for Few-Shot Whole Slide Image Classification
https://doi.org/10.1007/978-3-032-04971-1_40

MoDiff: A Morphology-Emphasized Diffusion Model for Ambiguous Medical Image Segmentation
https://doi.org/10.1007/978-3-032-04947-6_37