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Bibliografiske detaljer
Main Authors:	Jain, Sammit, Mukherjee, Suvadip, Danglot, Lydia, Olivo-Marin, Jean-Christophe
Format:	Preprint
Udgivet:	2020
Fag:	Image and Video Processing Quantitative Methods
Online adgang:	https://arxiv.org/abs/2003.08809
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Lignende værker

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

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

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

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

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

Outlier Removal in Cryo-EM via Radial Profiles
af: Kapnulin, Lev, et al.
Udgivet: (2024)

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

Graph Neural Network Reveals the Cortical Morphology of Local Brain Aging in Normal Cognition and Alzheimer's Disease
af: Anderson, Samuel D., et al.
Udgivet: (2026)

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

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

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

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

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

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

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

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

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

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

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

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

AI-Driven Segmentation and Analysis of Microbial Cells
af: Zhang, Shuang, et al.
Udgivet: (2025)

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

Virtual Lung Screening Trial (VLST): An In Silico Study Inspired by the National Lung Screening Trial for Lung Cancer Detection
af: Tushar, Fakrul Islam, et al.
Udgivet: (2024)

Papanicolaou Stain Unmixing for RGB Image Using Weighted Nucleus Sparsity and Total Variation Regularization
af: Gong, Nanxin, et al.
Udgivet: (2025)

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

Evaluation of neuroCombat and deep learning harmonization for multi-site magnetic resonance neuroimaging in youth with prenatal alcohol exposure
af: Scholten, Chloe, et al.
Udgivet: (2026)

Reliability Assessment Framework Based on Feature Separability for Pathological Cell Image Classification under Prior Bias
af: Tachibana, Takaaki, et al.
Udgivet: (2025)

Artificial Intelligence Enhanced Digital Nucleic Acid Amplification Testing for Precision Medicine and Molecular Diagnostics
af: Wei, Yuanyuan, et al.
Udgivet: (2024)

Optimising image capture for low-light widefield quantitative fluorescence microscopy
af: Peterkovic, Zane, et al.
Udgivet: (2024)

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

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

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

Hybrid eTFCE-GRF: Exact Cluster-Size Retrieval with Analytical p-Values for Voxel-Based Morphometry
af: Yin, Don, et al.
Udgivet: (2026)

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

Using convolutional neural networks for the classification of breast cancer images
af: Bonnet, Eric
Udgivet: (2021)

A review of handcrafted and deep radiomics in neurological diseases: transitioning from oncology to clinical neuroimaging
af: Lavrova, Elizaveta, et al.
Udgivet: (2024)

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

Survival Prediction Across Diverse Cancer Types Using Neural Networks
af: Yan, Xu, et al.
Udgivet: (2024)

Mitigating Surgical Data Imbalance with Dual-Prediction Video Diffusion Model
af: Venkatesh, Danush Kumar, et al.
Udgivet: (2025)

Conditional Score-Based Diffusion Model for Cortical Thickness Trajectory Prediction
af: Xiao, Qing, et al.
Udgivet: (2024)