Cover Image

A Deep Learning Approach to Multi-Fiber Parameter Estimation and Uncertainty Quantification in Diffusion MRI

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Consagra, William, Ning, Lipeng, Rathi, Yogesh
Format:	Preprint
Published:	2024
Subjects:	Image and Video Processing Quantitative Methods Applications Computation
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Neural Orientation Distribution Fields for Estimation and Uncertainty Quantification in Diffusion MRI
by: Consagra, William, et al.
Published: (2023)

Optimized Magnetic Resonance Fingerprinting Using Ziv-Zakai Bound
by: Gong, Chaoguang, et al.
Published: (2024)

Learned Hemodynamic Coupling Inference in Resting-State Functional MRI
by: Consagra, William, et al.
Published: (2026)

A Deep Network for Explainable Prediction of Non-Imaging Phenotypes using Anatomical Multi-View Data
by: Wei, Yuxiang, et al.
Published: (2024)

Association of Progressive PPFE and Mortality in Lung Cancer Screening Cohorts
by: Aslani, Shahab, et al.
Published: (2026)

Foundations of a Knee Joint Digital Twin from qMRI Biomarkers for Osteoarthritis and Knee Replacement
by: Hoyer, Gabrielle, et al.
Published: (2025)

A Hybrid Deep Learning Classification of Perimetric Glaucoma Using Peripapillary Nerve Fiber Layer Reflectance and Other OCT Parameters from Three Anatomy Regions
by: Tan, Ou, et al.
Published: (2024)

AGFS-Tractometry: A Novel Atlas-Guided Fine-Scale Tractometry Approach for Enhanced Along-Tract Group Statistical Comparison Using Diffusion MRI Tractography
by: Zheng, Ruixi, et al.
Published: (2025)

Numerical Uncertainty in Linear Registration: An Experimental Study
by: Mirhakimi, Niusha, et al.
Published: (2025)

Robust Segmentation of CPR-Induced Capnogram Using U-net: Overcoming Challenges with Deep Learning
by: Elola, Andoni, et al.
Published: (2024)

Deep Learning-based MRI Reconstruction with Artificial Fourier Transform Network (AFTNet)
by: Yang, Yanting, et al.
Published: (2023)

Segment Any Tumour: An Uncertainty-Aware Vision Foundation Model for Whole-Body Analysis
by: Peiris, Himashi, et al.
Published: (2025)

Harmonization mitigates diffusion MRI scanner effects in infancy: insights from the HEALthy Brain and Childhood Development (HBCD) study
by: McMaster, Elyssa M., et al.
Published: (2026)

Learning from Limited Multi-Phase CT: Dual-Branch Prototype-Guided Framework for Early Recurrence Prediction in HCC
by: Yu, Hsin-Pei, et al.
Published: (2025)

Diffusion-Based Quality Control of Medical Image Segmentations across Organs
by: Marcianò, Vincenzo, et al.
Published: (2025)

A Comprehensive Approach to Diagnosing Temporomandibular Joint Diseases: AI-driven TMD Diagnostic System
by: Gua, Y., et al.
Published: (2024)

Enhancing Cell Tracking with a Time-Symmetric Deep Learning Approach
by: Szabó, Gergely, et al.
Published: (2023)

Enhancing Alzheimer's Disease Prediction: A Novel Approach to Leveraging GAN-Augmented Data for Improved CNN Model Accuracy
by: Sunkara, Akshay, et al.
Published: (2024)

Estimating Neural Orientation Distribution Fields on High Resolution Diffusion MRI Scans
by: Dwedari, Mohammed Munzer, et al.
Published: (2024)

Robust CNN Multi-Nested-LSTM Framework with Compound Loss for Patch-based Multi-Push Ultrasound Shear Wave Imaging and Segmentation
by: Alam, Md. Jahin, et al.
Published: (2024)

Clinically-aligned Multi-modal Chest X-ray Classification
by: Sloan, Phillip, et al.
Published: (2025)

Adaptive k-space Radial Sampling for Cardiac MRI with Reinforcement Learning
by: Xu, Ruru, et al.
Published: (2025)

2D and 3D Deep Learning Models for MRI-based Parkinson's Disease Classification: A Comparative Analysis of Convolutional Kolmogorov-Arnold Networks, Convolutional Neural Networks, and Graph Convolutional Networks
by: Patel, Salil B, et al.
Published: (2024)

Digital Volumetric Biopsy Cores Improve Gleason Grading of Prostate Cancer Using Deep Learning
by: Redekop, Ekaterina, et al.
Published: (2024)

Reducing Overtreatment of Indeterminate Thyroid Nodules Using a Multimodal Deep Learning Model
by: Athreya, Shreeram, et al.
Published: (2024)

Latent Representation Learning from 3D Brain MRI for Interpretable Prediction in Multiple Sclerosis
by: Huynh, Trinh Ngoc, et al.
Published: (2025)

UnPuzzle: A Unified Framework for Pathology Image Analysis
by: Liao, Dankai, et al.
Published: (2025)

Gut decisions based on the liver: A radiomics approach to boost colorectal cancer screening
by: Hinterberger, Anna, et al.
Published: (2025)

A Spectral Library and Method for Sparse Unmixing of Hyperspectral Images in Fluorescence Guided Resection of Brain Tumors
by: Black, David, et al.
Published: (2024)

Photon Absorption Remote Sensing Virtual Histopathology: A Preliminary Exploration of Diagnostic Equivalence to Gold-Standard H&E Staining in Skin Cancer Excisional Biopsies
by: Ecclestone, Benjamin R., et al.
Published: (2025)

AI in Oncology: Transforming Cancer Detection through Machine Learning and Deep Learning Applications
by: Aftab, Muhammad, et al.
Published: (2025)

Transabdominal Fetal Oximetry via Diffuse Optics: Principled Analysis and Demonstration in Pregnant Ovine Models
by: Qian, Weitai, et al.
Published: (2025)

TABSurfer: a Hybrid Deep Learning Architecture for Subcortical Segmentation
by: Cao, Aaron, et al.
Published: (2023)

In-batch Relational Features Enhance Precision in An Unsupervised Medical Anomaly Detection Task
by: Githinji, P. Bilha, et al.
Published: (2026)

Harmonization Benchmarking Tool for Neuroimaging Datasets
by: Osika, Tom, et al.
Published: (2022)

Progress and new challenges in image-based profiling
by: Serrano, Erik, et al.
Published: (2025)

Robust Glioblastoma Segmentation and Volumetry Without T2-FLAIR: External Validation of Targeted Dropout Training
by: Öchsner, Marco, et al.
Published: (2026)

Morphological Reconstruction of Detached Dendritic Spines via Geodesic Path Prediction
by: Jain, Sammit, et al.
Published: (2020)

PathRWKV: Enhancing Whole Slide Image Inference with Asymmetric Recurrent Modeling
by: Zhang, Tianyi, et al.
Published: (2025)

Impact of Stain Variation and Color Normalization for Prognostic Predictions in Pathology
by: Siyu, et al.
Published: (2024)