Saved in:
| Main Authors: | Puig, Julia, Friboulet, Denis, Ling, Hang Jung, Varray, François, Porée, Jonathan, Provost, Jean, Garcia, Damien, Millioz, Fabien |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2404.00067 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Ultrafast Cardiac Imaging Using Deep Learning For Speckle-Tracking Echocardiography
by: Lu, Jingfeng, et al.
Published: (2023)
by: Lu, Jingfeng, et al.
Published: (2023)
Pruning Sparse Tensor Neural Networks Enables Deep Learning for 3D Ultrasound Localization Microscopy
by: Rauby, Brice, et al.
Published: (2024)
by: Rauby, Brice, et al.
Published: (2024)
Functional Assessment of Cerebral Capillaries using Single Capillary Reporters in Ultrasound Localization Microscopy
by: Lee, Stephen A, et al.
Published: (2024)
by: Lee, Stephen A, et al.
Published: (2024)
Feature Compression for Machines with Range-Based Channel Truncation and Frame Packing
by: Merlos, Juan, et al.
Published: (2025)
by: Merlos, Juan, et al.
Published: (2025)
Physics-Guided Neural Networks for Intraventricular Vector Flow Mapping
by: Ling, Hang Jung, et al.
Published: (2024)
by: Ling, Hang Jung, et al.
Published: (2024)
Energy-Aware Frame Rate Selection for Video Coding
by: Ramasubbu, Geetha, et al.
Published: (2026)
by: Ramasubbu, Geetha, et al.
Published: (2026)
Reinforced Rate Control for Neural Video Compression via Inter-Frame Rate-Distortion Awareness
by: Cong, Wuyang, et al.
Published: (2026)
by: Cong, Wuyang, et al.
Published: (2026)
Inverse Problem Approach to Aberration Correction for in vivo Transcranial Imaging Based on a Sparse Representation of Contrast-enhanced Ultrasound Data
by: Xing, Paul, et al.
Published: (2024)
by: Xing, Paul, et al.
Published: (2024)
Deep Unfolded Approximate Message Passing for Quantitative Acoustic Microscopy Image Reconstruction
by: Pappas, Odysseas, et al.
Published: (2024)
by: Pappas, Odysseas, et al.
Published: (2024)
Inline AI: Open-source Deep Learning Inference for Cardiac MR
by: Xue, Hui, et al.
Published: (2024)
by: Xue, Hui, et al.
Published: (2024)
DH-PTAM: A Deep Hybrid Stereo Events-Frames Parallel Tracking And Mapping System
by: Soliman, Abanob, et al.
Published: (2023)
by: Soliman, Abanob, et al.
Published: (2023)
Accelerated Cardiac Parametric Mapping using Deep Learning-Refined Subspace Models
by: Sheagren, Calder D., et al.
Published: (2025)
by: Sheagren, Calder D., et al.
Published: (2025)
Content-Driven Frame-Level Bit Prediction for Rate Control in Versatile Video Coding
by: Premkumar, Amritha, et al.
Published: (2026)
by: Premkumar, Amritha, et al.
Published: (2026)
Wrapper-Aware Rate-Distortion Optimization in Feature Coding for Machines
by: Fernández-Menduiña, Samuel, et al.
Published: (2026)
by: Fernández-Menduiña, Samuel, et al.
Published: (2026)
Towards Transcranial 3D Ultrasound Localization Microscopy of the Nonhuman Primate Brain
by: Xing, Paul, et al.
Published: (2024)
by: Xing, Paul, et al.
Published: (2024)
Identification of Rare Cortical Folding Patterns using Unsupervised Deep Learning
by: Guillon, Louise, et al.
Published: (2022)
by: Guillon, Louise, et al.
Published: (2022)
Epicardium Prompt-guided Real-time Cardiac Ultrasound Frame-to-volume Registration
by: Lei, Long, et al.
Published: (2024)
by: Lei, Long, et al.
Published: (2024)
Variable-Rate Learned Image Compression with Multi-Objective Optimization and Quantization-Reconstruction Offsets
by: Kamisli, Fatih, et al.
Published: (2024)
by: Kamisli, Fatih, et al.
Published: (2024)
Physics-informed Score-based Diffusion Model for Limited-angle Reconstruction of Cardiac Computed Tomography
by: Han, Shuo, et al.
Published: (2024)
by: Han, Shuo, et al.
Published: (2024)
Deep Separable Spatiotemporal Learning for Fast Dynamic Cardiac MRI
by: Wang, Zi, et al.
Published: (2024)
by: Wang, Zi, et al.
Published: (2024)
TVC: Tokenized Video Compression with Ultra-Low Bit Rate
by: Zhou, Lebin, et al.
Published: (2025)
by: Zhou, Lebin, et al.
Published: (2025)
CardiacFlow: 3D+t Four-Chamber Cardiac Shape Completion and Generation via Flow Matching
by: Ma, Qiang, et al.
Published: (2025)
by: Ma, Qiang, et al.
Published: (2025)
Motion-Robust Deep Reconstruction for Free-Breathing Cardiac Cine MRI
by: Yurt, Mahmut, et al.
Published: (2026)
by: Yurt, Mahmut, et al.
Published: (2026)
Cardiac Mesh Flow: One-Step Generation of 3D+t Cardiac Four-Chamber Meshes via Flow Matching
by: Ma, Qiang, et al.
Published: (2026)
by: Ma, Qiang, et al.
Published: (2026)
Fully Automated Assessment of Cardiac Coverage in Cine Cardiovascular Magnetic Resonance Images using an Explainable Deep Visual Salient Region Detection Model
by: Nabavi, Shahabedin, et al.
Published: (2022)
by: Nabavi, Shahabedin, et al.
Published: (2022)
An All-in-one Approach for Accelerated Cardiac MRI Reconstruction
by: Hamedani, Kian Anvari, et al.
Published: (2024)
by: Hamedani, Kian Anvari, et al.
Published: (2024)
Assessment of Clonal Hematopoiesis of Indeterminate Potential and Future Cardiomyopathy from Cardiac Magnetic Resonance Imaging using Deep Learning in a Cardio-oncology Population
by: Xing, Jiarui, et al.
Published: (2024)
by: Xing, Jiarui, et al.
Published: (2024)
Noise-aware Dynamic Image Denoising and Positron Range Correction for Rubidium-82 Cardiac PET Imaging via Self-supervision
by: Xie, Huidong, et al.
Published: (2024)
by: Xie, Huidong, et al.
Published: (2024)
Position Dependent Prediction Combination For Intra-Frame Video Coding
by: Said, Amir, et al.
Published: (2025)
by: Said, Amir, et al.
Published: (2025)
Motion-Adaptive Inference for Flexible Learned B-Frame Compression
by: Yilmaz, M. Akin, et al.
Published: (2024)
by: Yilmaz, M. Akin, et al.
Published: (2024)
Automatic Aberration Correction for Transcranial Functional and Super-Resolution Ultrasound Imaging in Rodents and Nonhuman Primates
by: Xing, Paul, et al.
Published: (2026)
by: Xing, Paul, et al.
Published: (2026)
The state-of-the-art in Cardiac MRI Reconstruction: Results of the CMRxRecon Challenge in MICCAI 2023
by: Lyu, Jun, et al.
Published: (2024)
by: Lyu, Jun, et al.
Published: (2024)
UU-Mamba: Uncertainty-aware U-Mamba for Cardiac Image Segmentation
by: Tsai, Ting Yu, et al.
Published: (2024)
by: Tsai, Ting Yu, et al.
Published: (2024)
Multimodal Fusion of Echocardiography and Electronic Health Records for the Detection of Cardiac Amyloidosis
by: Feng, Zishun, et al.
Published: (2024)
by: Feng, Zishun, et al.
Published: (2024)
Segmenting Cardiac Muscle Z-disks with Deep Neural Networks
by: Ibrahim, Mihaela Croitor, et al.
Published: (2024)
by: Ibrahim, Mihaela Croitor, et al.
Published: (2024)
GenMFSR: Generative Multi-Frame Image Restoration and Super-Resolution
by: Weligampola, Harshana, et al.
Published: (2026)
by: Weligampola, Harshana, et al.
Published: (2026)
Quantum-Driven Multihead Inland Waterbody Detection With Transformer-Encoded CYGNSS Delay-Doppler Map Data
by: Lin, Chia-Hsiang, et al.
Published: (2025)
by: Lin, Chia-Hsiang, et al.
Published: (2025)
Sparse Reconstruction of Optical Doppler Tomography with Alternative State Space Model and Attention
by: Li, Zhenghong, et al.
Published: (2024)
by: Li, Zhenghong, et al.
Published: (2024)
Unsupervised Cardiac Video Translation Via Motion Feature Guided Diffusion Model
by: Deb, Swakshar, et al.
Published: (2025)
by: Deb, Swakshar, et al.
Published: (2025)
Groupwise Image Registration with Edge-Based Loss for Low-SNR Cardiac MRI
by: Lei, Xuan, et al.
Published: (2024)
by: Lei, Xuan, et al.
Published: (2024)
Similar Items
-
Ultrafast Cardiac Imaging Using Deep Learning For Speckle-Tracking Echocardiography
by: Lu, Jingfeng, et al.
Published: (2023) -
Pruning Sparse Tensor Neural Networks Enables Deep Learning for 3D Ultrasound Localization Microscopy
by: Rauby, Brice, et al.
Published: (2024) -
Functional Assessment of Cerebral Capillaries using Single Capillary Reporters in Ultrasound Localization Microscopy
by: Lee, Stephen A, et al.
Published: (2024) -
Feature Compression for Machines with Range-Based Channel Truncation and Frame Packing
by: Merlos, Juan, et al.
Published: (2025) -
Physics-Guided Neural Networks for Intraventricular Vector Flow Mapping
by: Ling, Hang Jung, et al.
Published: (2024)