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Found 11 papers, 4 papers with code
CAFusion: Controllable Anatomical Synthesis of Perirectal Lymph Nodes via SDF-guided Diffusion
Lesion synthesis methods have made significant progress in generating large-scale synthetic datasets.
DiffAtlas: GenAI-fying Atlas Segmentation via Image-Mask Diffusion
Accurate medical image segmentation is crucial for precise anatomical delineation.
Self-Attention Limits Working Memory Capacity of Transformer-Based Models
Critically, we find that the total entropy of the attention score matrix increases as N increases, suggesting that the dispersion of attention scores might be the cause of the capacity limit observed in N-back tasks.
LN-Gen: Rectal Lymph Nodes Generation via Anatomical Features
Accurate segmentation of rectal lymph nodes is crucial for the staging and treatment planning of rectal cancer.
Voltage-Controlled Magnetoelectric Devices for Neuromorphic Diffusion Process
Stochastic diffusion processes are pervasive in nature, from the seemingly erratic Brownian motion to the complex interactions of synaptically-coupled spiking neurons.
Medical MLLM is Vulnerable: Cross-Modality Jailbreak and Mismatched Attacks on Medical Multimodal Large Language Models
Security concerns related to Large Language Models (LLMs) have been extensively explored, yet the safety implications for Multimodal Large Language Models (MLLMs), particularly in medical contexts (MedMLLMs), remain insufficiently studied.
Interpolating neural network: A novel unification of machine learning and interpolation theory
Artificial intelligence (AI) has revolutionized software development, shifting from task-specific codes (Software 1. 0) to neural network-based approaches (Software 2. 0).
Meply: A Large-scale Dataset and Baseline Evaluations for Metastatic Perirectal Lymph Node Detection and Segmentation
The CoSAM utilizes sequence-based detection to guide the segmentation of metastatic lymph nodes in rectal cancer, contributing to improved localization performance for the segmentation model.
LeFusion: Controllable Pathology Synthesis via Lesion-Focused Diffusion Models
Previous efforts in medical imaging synthesis have struggled with separating lesion information from background, resulting in low-quality backgrounds and limited control over the synthetic output.
CARE: A Large Scale CT Image Dataset and Clinical Applicable Benchmark Model for Rectal Cancer Segmentation
The generalization of the model is further verified on the WORD dataset.
Spin Nernst Effect of Antiferromagnetic Magnons in the Presence of Spin Diffusion
Magnon spin Nernst effect was recently proposed as an intrinsic effect in antiferromagnets, where spin diffusion and boundary spin transmission have been ignored.
Mesoscale and Nanoscale Physics Materials Science Other Condensed Matter
