Cover Image

A Deep Network for Explainable Prediction of Non-Imaging Phenotypes using Anatomical Multi-View Data

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wei, Yuxiang, Chen, Yuqian, Xue, Tengfei, Zekelman, Leo, Makris, Nikos, Rathi, Yogesh, Cai, Weidong, Zhang, Fan, Donnell, Lauren J. O'
Format:	Preprint
Published:	2024
Subjects:	Quantitative Methods Artificial Intelligence Image and Video Processing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Multimodal Deep Learning Approach for White Matter Shape Prediction in Diffusion MRI Tractography
by: Lo, Yui, et al.
Published: (2025)

DeepNuParc: A Novel Deep Clustering Framework for Fine-scale Parcellation of Brain Nuclei Using Diffusion MRI Tractography
by: He, Haolin, et al.
Published: (2025)

Cross-domain Fiber Cluster Shape Analysis for Language Performance Cognitive Score Prediction
by: Lo, Yui, et al.
Published: (2024)

A Deep Learning Approach to Multi-Fiber Parameter Estimation and Uncertainty Quantification in Diffusion MRI
by: Consagra, William, 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)

The shape of the brain's connections is predictive of cognitive performance: an explainable machine learning study
by: Lo, Yui, et al.
Published: (2024)

MAPLES-DR: MESSIDOR Anatomical and Pathological Labels for Explainable Screening of Diabetic Retinopathy
by: Lepetit-Aimon, Gabriel, et al.
Published: (2024)

Revisiting Adaptive Cellular Recognition Under Domain Shifts: A Contextual Correspondence View
by: Fan, Jianan, et al.
Published: (2024)

A Novel Deep Learning Tractography Fiber Clustering Framework for Functionally Consistent White Matter Parcellation Using Multimodal Diffusion MRI and Functional MRI
by: Wang, Jin, et al.
Published: (2024)

Phenotype discovery of traumatic brain injury segmentations from heterogeneous multi-site data
by: Saunders, Adam M., et al.
Published: (2025)

DeepMultiConnectome: Deep Multi-Task Prediction of Structural Connectomes Directly from Diffusion MRI Tractography
by: Vroemen, Marcus J., et al.
Published: (2025)

Cell as Point: One-Stage Framework for Efficient Cell Tracking
by: Song, Yaxuan, et al.
Published: (2024)

DMVFC: Deep Learning Based Functionally Consistent Tractography Fiber Clustering Using Multimodal Diffusion MRI and Functional MRI
by: Guo, Bocheng, et al.
Published: (2025)

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

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

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

PhenDiff: Revealing Subtle Phenotypes with Diffusion Models in Real Images
by: Bourou, Anis, 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)

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)

TractCloud-FOV: Deep Learning-based Robust Tractography Parcellation in Diffusion MRI with Incomplete Field of View
by: Chen, Yuqian, et al.
Published: (2025)

TractCloud‐FOV: Deep Learning‐Based Robust Tractography Parcellation in Diffusion MRI With Incomplete Field of View
by: Yuqian Chen, et al.
Published: (2025)

Explainable histomorphology-based survival prediction of glioblastoma, IDH-wildtype
by: Redlich, Jan-Philipp, et al.
Published: (2026)

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

Computational Pathology for Accurate Prediction of Breast Cancer Recurrence: Development and Validation of a Deep Learning-based Tool
by: Su, Ziyu, et al.
Published: (2024)

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

Explainable artificial intelligence in breast cancer detection and risk prediction: A systematic scoping review
by: Ghasemi, Amirehsan, et al.
Published: (2024)

Multi-Beholder: Biomarker Prediction for Low-Grade Glioma with Multiple Instance Learning and One-Class Classification
by: Fang, Zijie, et al.
Published: (2023)

DDCSR: A Novel End-to-End Deep Learning Framework for Cortical Surface Reconstruction from Diffusion MRI
by: Li, Chengjin, et al.
Published: (2025)

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)

Diffusion-Based Quality Control of Medical Image Segmentations across Organs
by: Marcianò, Vincenzo, 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)

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)

Numerical Uncertainty in Linear Registration: An Experimental Study
by: Mirhakimi, Niusha, 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)

On the Utility of Virtual Staining for Downstream Applications as it relates to Task Network Capacity
by: Sengupta, Sourya, et al.
Published: (2025)

Computer Navigated Spinal Surgery Using Magnetic Resonance Imaging and Augmented Reality
by: Lu, Songyuan, et al.
Published: (2025)

Sifting through the haystack -- efficiently finding rare animal behaviors in large-scale datasets
by: Bar, Shir, et al.
Published: (2024)