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Found 12 papers, 10 papers with code
MedFuncta: Modality-Agnostic Representations Based on Efficient Neural Fields
Recent research in medical image analysis with deep learning almost exclusively focuses on grid- or voxel-based data representations.
Generating 3D Pseudo-Healthy Knee MR Images to Support Trochleoplasty Planning
Results: The inpainting by our model significantly improves the SA, TGD and D\'ejour classification in a study with 49 knee MR scans.
cWDM: Conditional Wavelet Diffusion Models for Cross-Modality 3D Medical Image Synthesis
This paper contributes to the "BraTS 2024 Brain MR Image Synthesis Challenge" and presents a conditional Wavelet Diffusion Model (cWDM) for directly solving a paired image-to-image translation task on high-resolution volumes.
Modeling the Neonatal Brain Development Using Implicit Neural Representations
In this work, we model the neonatal development of the infant brain in this age range.
Denoising Diffusion Models for 3D Healthy Brain Tissue Inpainting
Monitoring diseases that affect the brain's structural integrity requires automated analysis of magnetic resonance (MR) images, e. g., for the evaluation of volumetric changes.
Binary Noise for Binary Tasks: Masked Bernoulli Diffusion for Unsupervised Anomaly Detection
As diffusion-based methods require a lot of GPU memory and have long sampling times, we present a novel and fast unsupervised anomaly detection approach based on latent Bernoulli diffusion models.
WDM: 3D Wavelet Diffusion Models for High-Resolution Medical Image Synthesis
Due to the three-dimensional nature of CT- or MR-scans, generative modeling of medical images is a particularly challenging task.
Scalable Mechanism Design for Multi-Agent Path Finding
Multi-Agent Path Finding (MAPF) involves determining paths for multiple agents to travel simultaneously and collision-free through a shared area toward given goal locations.
MedShapeNet -- A Large-Scale Dataset of 3D Medical Shapes for Computer Vision
For the medical domain, we present a large collection of anatomical shapes (e. g., bones, organs, vessels) and 3D models of surgical instrument, called MedShapeNet, created to facilitate the translation of data-driven vision algorithms to medical applications and to adapt SOTA vision algorithms to medical problems.
Point Cloud Diffusion Models for Automatic Implant Generation
Advances in 3D printing of biocompatible materials make patient-specific implants increasingly popular.
Deep Investing in Kyle's Single Period Model
The Kyle model describes how an equilibrium of order sizes and security prices naturally arises between a trader with insider information and the price providing market maker as they interact through a series of auctions.
Computational Finance Trading and Market Microstructure
