conftrace_

magnetic resonance imaging

182 papers

Explore in graph

Also known as

MRI

Co-occurring keywords

image reconstruction (671) medical imaging (971) convolutional neural network (4226) deep learning (2118) diffusion model (3751) compressed sensing (201) computed tomography (119) vocal tract (61) medical image segmentation (351) semantic segmentation (3186)

Papers

TMFormer: Token Merging Transformer for Brain Tumor Segmentation with Missing Modalities AAAI 2024
Controllable Text-to-Image Synthesis for Multi-Modality MR Images WACV 2024
Data-Efficient Unsupervised Interpolation Without Any Intermediate Frame for 4D Medical Images CVPR 2024
Constrained Probabilistic Mask Learning for Task-Specific Undersampled MRI Reconstruction WACV 2024
CycleINR: Cycle Implicit Neural Representation for Arbitrary-Scale Volumetric Super-Resolution of Medical Data CVPR 2024
Autoregressive Image Diffusion: Generation of Image Sequence and Application in MRI NIPS 2024
Adaptive Latent Diffusion Model for 3D Medical Image to Image Translation: Multi-Modal Magnetic Resonance Imaging Study WACV 2024
Rethinking Diffusion Model for Multi-Contrast MRI Super-Resolution CVPR 2024
Self-Promoted Clustering-based Contrastive Learning for Brain Networks Pretraining IJCAI 2024
CSAM: A 2.5D Cross-Slice Attention Module for Anisotropic Volumetric Medical Image Segmentation WACV 2024
Fully Convolutional Slice-to-Volume Reconstruction for Single-Stack MRI CVPR 2024
Scratch Each Other's Back: Incomplete Multi-Modal Brain Tumor Segmentation via Category Aware Group Self-Support Learning ICCV 2023
MTSR-MRI: Combined Modality Translation and Super-Resolution of Magnetic Resonance Images MIDL 2023
Coupled Reconstruction of Cortical Surfaces by Diffeomorphic Mesh Deformation NIPS 2023
A Deep Learning Based Framework for Joint Image Registration and Segmentation of Brain Metastases on Magnetic Resonance Imaging MLHC 2023
Zero-Shot Self-Supervised Joint Temporal Image and Sensitivity Map Reconstruction via Linear Latent Space MIDL 2023
Multi PILOT: Feasible Learned Multiple Acquisition Trajectories For Dynamic MRI MIDL 2023
A Conditional Normalizing Flow for Accelerated Multi-Coil MR Imaging ICML 2023
Reverse Engineering Breast MRIs: Predicting Acquisition Parameters Directly from Images MIDL 2023
Learning Federated Visual Prompt in Null Space for MRI Reconstruction CVPR 2023
Reference-based MRI Reconstruction Using Texture Transformer MIDL 2023
Rethinking Multi-Contrast MRI Super-Resolution: Rectangle-Window Cross-Attention Transformer and Arbitrary-Scale Upsampling ICCV 2023
M3AE: Multimodal Representation Learning for Brain Tumor Segmentation with Missing Modalities AAAI 2023
Diffusion Models for Contrast Harmonization of Magnetic Resonance Images MIDL 2023
Analyzing the Sample Complexity of Self-Supervised Image Reconstruction Methods NIPS 2023