Buchumschlag

Enhancement Without Contrast: Stability-Aware Multicenter Machine Learning for Glioma MRI Imaging

Fuente: arXiv

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Amiri, Sajad, Taeb, Shahram, Gharibi, Sara, Dehghanfard, Setareh, Mehrnia, Somayeh Sadat, Oveisi, Mehrdad, Hacihaliloglu, Ilker, Rahmim, Arman, Salmanpour, Mohammad R.
Format:	Preprint
Veröffentlicht:	2025
Schlagworte:	Computer Vision and Pattern Recognition F.2.2; I.2.7
Online-Zugang:	Acceder al recurso
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

Semi-Supervised Radiomics for Glioblastoma IDH Mutation: Limited Labels, Data Sensitivity, and SHAP Interpretation
von: Pouria, Amir Hossein, et al.
Veröffentlicht: (2025)

Robust Semi-Supervised CT Radiomics for Lung Cancer Prognosis: Cost-Effective Learning with Limited Labels and SHAP Interpretation
von: Salmanpour, Mohammad R., et al.
Veröffentlicht: (2025)

AllMetrics: A Unified Python Library for Standardized Metric Evaluation and Robust Data Validation in Machine Learning
von: Alizadeh, Morteza, et al.
Veröffentlicht: (2025)

Robust Multicenter CT Radiogenomics for Dual EGFR and KRAS Prediction in Lung Cancer with Stability-Aware Modeling and SHAP Interpretation
von: Mehrnia, Somayeh Sadat, et al.
Veröffentlicht: (2026)

Handcrafted vs. Deep Radiomics vs. Fusion vs. Deep Learning: A Comprehensive Review of Machine Learning -Based Cancer Outcome Prediction in PET and SPECT Imaging
von: Salmanpour, Mohammad R., et al.
Veröffentlicht: (2025)

Radiological and Biological Dictionary of Radiomics Features: Addressing Understandable AI Issues in Personalized Breast Cancer; Dictionary Version BM1.0
von: Gorji, Arman, et al.
Veröffentlicht: (2025)

Biological and Radiological Dictionary of Radiomics Features: Addressing Understandable AI Issues in Personalized Prostate Cancer; Dictionary Version PM1.0
von: Salmanpour, Mohammad R., et al.
Veröffentlicht: (2024)

Radiuma: A Unified Zero-Code Executable Graphical Workflow Generator for Reproducible and Shareable Medical Image Analysis and Machine Learning
von: Salmanpour, Mohammad, et al.
Veröffentlicht: (2026)

A Clinically Anchored Radiomics Dictionary for Explainable TI-RADS-Based Thyroid Nodule Classification in Ultrasound; Dictionary Version TU1.0
von: Salmanpour, Mohammad, et al.
Veröffentlicht: (2026)

Pathobiological Dictionary Defining Pathomics and Texture Features: Addressing Understandable AI Issues in Personalized Liver Cancer; Dictionary Version LCP1.0
von: Salmanpour, Mohammad R., et al.
Veröffentlicht: (2025)

Towards Interpretable AI in Personalized Medicine: A Radiological-Biological Radiomics Dictionary Connecting Semantic Lung-RADS and imaging Radiomics Features; Dictionary LC 1.0
von: Jouzdani, Ali Fathi, et al.
Veröffentlicht: (2025)

PySERA: Open-Source Standardized Python Library for Automated, Scalable, and Reproducible Handcrafted and Deep Radiomics
von: Salmanpour, Mohammad R., et al.
Veröffentlicht: (2025)

Machine Learning Evaluation Metric Discrepancies across Programming Languages and Their Components: Need for Standardization
von: Salmanpour, Mohammad R., et al.
Veröffentlicht: (2024)

Click, Predict, Trust: Clinician-in-the-Loop AI Segmentation for Lung Cancer CT-Based Prognosis within the Knowledge-to-Action Framework
von: Salmanpour, Mohammad R., et al.
Veröffentlicht: (2025)

Influence of High-Performance Image-to-Image Translation Networks on Clinical Visual Assessment and Outcome Prediction: Utilizing Ultrasound to MRI Translation in Prostate Cancer
von: Salmanpour, Mohammad R., et al.
Veröffentlicht: (2025)

Censor-Aware Semi-Supervised Survival Time Prediction in Lung Cancer Using Clinical and Radiomics Features
von: Gorji, Arman, et al.
Veröffentlicht: (2025)

MEDDAP: Medical Dataset Enhancement via Diversified Augmentation Pipeline
von: Medghalchi, Yasamin, et al.
Veröffentlicht: (2024)

An AI-powered Public Health Automated Kiosk System for Personalized Care: An Experimental Pilot Study
von: Falahati, Sonya, et al.
Veröffentlicht: (2025)

Segmentation-Free Outcome Prediction from Head and Neck Cancer PET/CT Images: Deep Learning-Based Feature Extraction from Multi-Angle Maximum Intensity Projections (MA-MIPs)
von: Toosi, Amirhosein, et al.
Veröffentlicht: (2024)

Stabilization Without Simplification: A Two-Dimensional Model of Software Evolution
von: Furukawa, Masaru
Veröffentlicht: (2026)

On the effect of the average clustering coefficient on topology-based link prediction in featureless graphs
von: Rafiepour, Mehrdad, et al.
Veröffentlicht: (2025)

ExpReS-VLA: Specializing Vision-Language-Action Models Through Experience Replay and Retrieval
von: Syed, Shahram Najam, et al.
Veröffentlicht: (2025)

N-Version Assessment and Enhancement of Generative AI
von: Kessel, Marcus, et al.
Veröffentlicht: (2024)

Contrastive Learning-Enhanced Large Language Models for Monolith-to-Microservice Decomposition
von: Sellami, Khaled, et al.
Veröffentlicht: (2025)

OFMU: Optimization-Driven Framework for Machine Unlearning
von: Asif, Sadia, et al.
Veröffentlicht: (2025)

Latent Cache Flow: Model-to-Model Communication Without Text
von: Rossi, Maximillian, et al.
Veröffentlicht: (2026)

Do High-Performance Image-to-Image Translation Networks Enable the Discovery of Radiomic Features? Application to MRI Synthesis from Ultrasound in Prostate Cancer
von: Salmanpour, Mohammad R., et al.
Veröffentlicht: (2024)

Excluding a Ladder as an Induced Minor in Graphs Without Induced Stars
von: Choi, Mujin, et al.
Veröffentlicht: (2025)

CGRclust: Chaos Game Representation for Twin Contrastive Clustering of Unlabelled DNA Sequences
von: Alipour, Fatemeh, et al.
Veröffentlicht: (2024)

Stabilizing Consensus is Impossible in Lossy Iterated Immediate Snapshot Models
von: Felber, Stephan, et al.
Veröffentlicht: (2024)

AXNav: Replaying Accessibility Tests from Natural Language
von: Taeb, Maryam, et al.
Veröffentlicht: (2023)

Contrastive pretraining for semantic segmentation is robust to noisy positive pairs
von: Gerard, Sebastian, et al.
Veröffentlicht: (2022)

CodeEvolve: LLM-Driven Evolutionary Optimization with Runtime-Enriched Target Selection for Multi-Language Code Enhancement
von: Borra, Ajay Krishna, et al.
Veröffentlicht: (2026)

Project Patti: Why can You Solve Diabolical Puzzles on one Sudoku Website but not Easy Puzzles on another Sudoku Website?
von: Eisenkolb-Vaithyanathan, Arman
Veröffentlicht: (2025)

Unsupervised 4D Flow MRI Velocity Enhancement and Unwrapping Using Divergence-Free Neural Networks
von: Bisbal, Javier, et al.
Veröffentlicht: (2026)

Induced Disjoint Paths Without an Induced Minor
von: Aboulker, Pierre, et al.
Veröffentlicht: (2025)

Domain-Adaptive Transformer for Data-Efficient Glioma Segmentation in Sub-Saharan MRI
von: Abolade, Ilerioluwakiiye, et al.
Veröffentlicht: (2025)

Efficiency Without Cognitive Change: Evidence from Human Interaction with Narrow AI Systems
von: Benítez, María Angélica, et al.
Veröffentlicht: (2025)

Dynamic Buffers: Cost-Efficient Planning for Tabletop Rearrangement with Stacking
von: Barghi, Arman, et al.
Veröffentlicht: (2025)

SuperPoint-SLAM3: Augmenting ORB-SLAM3 with Deep Features, Adaptive NMS, and Learning-Based Loop Closure
von: Syed, Shahram Najam, et al.
Veröffentlicht: (2025)