Cover Image

Deep Learning-based Accelerated MR Cholangiopancreatography without Fully-sampled Data

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Kim, Jinho, Nickel, Marcel Dominik, Knoll, Florian
Format:	Preprint
Published:	2024
Subjects:	Image and Video Processing Artificial Intelligence Computer Vision and Pattern Recognition Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Zero-shot self-supervised learning of single breath-hold magnetic resonance cholangiopancreatography (MRCP) reconstruction
by: Kim, Jinho, et al.
Published: (2025)

Deep Learning Pipeline for Fully Automated Myocardial Infarct Segmentation from Clinical Cardiac MR Scans
by: Schwab, Matthias, et al.
Published: (2025)

Curriculum Learning with Synthetic Data for Enhanced Pulmonary Nodule Detection in Chest Radiographs
by: Sambhu, Pranav, et al.
Published: (2025)

A Two-Stage Deep Learning Framework for Segmentation of Ten Gastrointestinal Organs from Coronal MR Enterography
by: Rahman, Ashiqur, et al.
Published: (2026)

Fluence Map Prediction with Deep Learning: A Transformer-based Approach
by: Mgboh, Ujunwa, et al.
Published: (2025)

Loss-Aware Automatic Selection of Structured Pruning Criteria for Deep Neural Network Acceleration
by: Ghimire, Deepak, et al.
Published: (2025)

LSST: Learned Single-Shot Trajectory and Reconstruction Network for MR Imaging
by: Aggarwal, Hemant Kumar, et al.
Published: (2024)

Managing Diabetic Retinopathy with Deep Learning: A Data Centric Overview
by: Dey, Shramana, et al.
Published: (2026)

Reconsider the Template Mesh in Deep Learning-based Mesh Reconstruction
by: Zhang, Fengting, et al.
Published: (2025)

MR-EIT: Multi-Resolution Reconstruction for Electrical Impedance Tomography via Data-Driven and Unsupervised Dual-Mode Neural Networks
by: Shi, Fangming, et al.
Published: (2025)

Efficient Deep Learning Approaches for Processing Ultra-Widefield Retinal Imaging
by: Kim, Siwon, et al.
Published: (2025)

Estimating Total Lung Volume from Pixel-level Thickness Maps of Chest Radiographs Using Deep Learning
by: Dorosti, Tina, et al.
Published: (2021)

MR2-ByteTrack: CNN and Transformer-based Video Object Detection for AI-augmented Embedded Vision Sensor Nodes
by: Bompani, Luca, et al.
Published: (2026)

Fully Guided Neural Schrödinger bridge for Brain MR image synthesis
by: Yang, Hanyeol, et al.
Published: (2025)

Internship Report: Benchmark of Deep Learning-based Imaging PPG in Automotive Domain
by: Tu, Yuqi, et al.
Published: (2024)

Camera Movement Classification in Historical Footage: A Comparative Study of Deep Video Models
by: Lin, Tingyu, et al.
Published: (2025)

Coarse-to-Fine Joint Registration of MR and Ultrasound Images via Imaging Style Transfer
by: Wang, Junyi, et al.
Published: (2025)

Brain MR Image Synthesis with 3D Multi-Contrast Self-Attention GAN
by: Abod, Zaid A., et al.
Published: (2026)

SRE-CNN: A Spatiotemporal Rotation-Equivariant CNN for Cardiac Cine MR Imaging
by: Zhu, Yuliang, et al.
Published: (2024)

Multi-modal Deep Learning
by: Yuhua, Chen
Published: (2024)

3D Wavelet Latent Diffusion Model for Whole-Body MR-to-CT Modality Translation
by: Zheng, Jiaxu, et al.
Published: (2025)

Deep Learning-based Multi Project InP Wafer Simulation for Unsupervised Surface Defect Detection
by: Cantú, Emílio Dolgener, et al.
Published: (2025)

Evaluation of Machine Learning Reconstruction Techniques for Accelerated Brain MRI Scans
by: Mandel, Jonathan I., et al.
Published: (2025)

DRL-STNet: Unsupervised Domain Adaptation for Cross-modality Medical Image Segmentation via Disentangled Representation Learning
by: Lin, Hui, et al.
Published: (2024)

Missing Data Estimation for MR Spectroscopic Imaging via Mask-Free Deep Learning Methods
by: Pham, Tan-Hanh, et al.
Published: (2025)

SynthFM: Training Modality-agnostic Foundation Models for Medical Image Segmentation without Real Medical Data
by: Sengupta, Sourya, et al.
Published: (2025)

Less is More: Selective Reduction of CT Data for Self-Supervised Pre-Training of Deep Learning Models with Contrastive Learning Improves Downstream Classification Performance
by: Wolf, Daniel, et al.
Published: (2024)

SegNet: A Segmented Deep Learning based Convolutional Neural Network Approach for Drones Wildfire Detection
by: Jonnalagadda, Aditya V., et al.
Published: (2024)

SAS: Segment Anything Small for Ultrasound -- A Non-Generative Data Augmentation Technique for Robust Deep Learning in Ultrasound Imaging
by: Ferreira, Danielle L., et al.
Published: (2025)

Weakly Supervised Intracranial Aneurysm Detection and Segmentation in MR angiography via Multi-task UNet with Vesselness Prior
by: Rainville, Erin, et al.
Published: (2025)

A Deep Learning Application for Psoriasis Detection
by: Milani, Anna, et al.
Published: (2025)

Mutual Evidential Deep Learning for Medical Image Segmentation
by: He, Yuanpeng, et al.
Published: (2025)

Deep Learning-Based Automated Segmentation of Uterine Myomas
by: Saleem, Tausifa Jan, et al.
Published: (2025)

Vascular Segmentation of Functional Ultrasound Images using Deep Learning
by: Sebia, Hana, et al.
Published: (2024)

Deep Learning for Fetal Inflammatory Response Diagnosis in the Umbilical Cord
by: Ayad, Marina A., et al.
Published: (2024)

Estimation of Segmental Longitudinal Strain in Transesophageal Echocardiography by Deep Learning
by: Taskén, Anders Austlid, et al.
Published: (2025)

Deep Learning for Early Alzheimer Disease Detection with MRI Scans
by: Rafsan, Mohammad, et al.
Published: (2025)

Classification of Brain Tumors using Hybrid Deep Learning Models
by: Gala, Neerav Nemchand
Published: (2025)

Liver Cirrhosis Stage Estimation from MRI with Deep Learning
by: Zeng, Jun, et al.
Published: (2025)

SISMIK for brain MRI: Deep-learning-based motion estimation and model-based motion correction in k-space
by: Dabrowski, Oscar, et al.
Published: (2023)