Copertina

Robust Multicenter CT Radiogenomics for Dual EGFR and KRAS Prediction in Lung Cancer with Stability-Aware Modeling and SHAP Interpretation

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Mehrnia, Somayeh Sadat, Razavi, Fatemeh, Abedini, Helia, Rahimi, Niloofar, Rahmim, Arman, Salmanpour, Mohammad
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Medical Physics F.2.2; I.2.7
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

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

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

Enhancement Without Contrast: Stability-Aware Multicenter Machine Learning for Glioma MRI Imaging
di: Amiri, Sajad, et al.
Pubblicazione: (2025)

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

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

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

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

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

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

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

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

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

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

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

Lung adenocarcinoma: Sustained subtyping with immunohistochemistry and EGFR, HER2 and KRAS mutational status
di: Vitor Sousa
Pubblicazione: (2015)

An AI-powered Public Health Automated Kiosk System for Personalized Care: An Experimental Pilot Study
di: Falahati, Sonya, et al.
Pubblicazione: (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)
di: Toosi, Amirhosein, et al.
Pubblicazione: (2024)

A Method for Evaluating the Interpretability of Machine Learning Models in Predicting Bond Default Risk Based on LIME and SHAP
di: Zhang, Yan, et al.
Pubblicazione: (2025)

Privacy-Preserving Explainable AIoT Application via SHAP Entropy Regularization
di: Sharma, Dilli Prasad, et al.
Pubblicazione: (2025)

Enhancing Adversarial Robustness of IoT Intrusion Detection via SHAP-Based Attribution Fingerprinting
di: Sharma, Dilli Prasad, et al.
Pubblicazione: (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
di: Salmanpour, Mohammad R., et al.
Pubblicazione: (2025)

Fairness in the k-Server Problem
di: Daneshvaramoli, Mohammadreza, et al.
Pubblicazione: (2025)

Near-Optimal Consistency-Robustness Trade-Offs for Learning-Augmented Online Knapsack Problems
di: Daneshvaramoli, Mohammadreza, et al.
Pubblicazione: (2024)

LLM-Rubric: A Multidimensional, Calibrated Approach to Automated Evaluation of Natural Language Texts
di: Hashemi, Helia, et al.
Pubblicazione: (2024)

Enhanced Lung Cancer Survival Prediction using Semi-Supervised Pseudo-Labeling and Learning from Diverse PET/CT Datasets
di: Salmanpour, Mohammad R., et al.
Pubblicazione: (2024)

Causality-Driven Neural Network Repair: Challenges and Opportunities
di: Vares, Fatemeh, et al.
Pubblicazione: (2025)

The Secretary Problem with Predictions and a Chosen Order
di: Karisani, Helia, et al.
Pubblicazione: (2026)

MC-CPO: Mastery-Conditioned Constrained Policy Optimization
di: Olukola, Oluseyi, et al.
Pubblicazione: (2026)

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

Grammatically-Guided Sparse Attention for Efficient and Interpretable Transformers
di: Pratyush, Spandan
Pubblicazione: (2026)

Automated Circuit Interpretation via Probe Prompting
di: Birardi, Giuseppe
Pubblicazione: (2025)

Pedagogical Safety in Educational Reinforcement Learning: Formalizing and Detecting Reward Hacking in AI Tutoring Systems
di: Olukola, Oluseyi, et al.
Pubblicazione: (2026)

SIA: Symbolic Interpretability for Anticipatory Deep Reinforcement Learning in Network Control
di: Jabbari, MohammadErfan, et al.
Pubblicazione: (2026)

General vs Domain-Specific CNNs: Understanding Pretraining Effects on Brain MRI Tumor Classification
di: Abedini, Helia, et al.
Pubblicazione: (2025)

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

Review Beats Planning: Dual-Model Interaction Patterns for Code Synthesis
di: Miller, Jan
Pubblicazione: (2026)

Adaptive Latent-Space Constraints in Personalized Federated Learning
di: Ayromlou, Sana, et al.
Pubblicazione: (2025)

(How) Do Large Language Models Understand High-Level Message Sequence Charts?
di: Mousavi, Mohammad Reza
Pubblicazione: (2026)

MM-SHAP: A Performance-agnostic Metric for Measuring Multimodal Contributions in Vision and Language Models & Tasks
di: Parcalabescu, Letitia, et al.
Pubblicazione: (2022)

Interactive Diabetes Risk Prediction Using Explainable Machine Learning: A Dash-Based Approach with SHAP, LIME, and Comorbidity Insights
di: Allani, Udaya
Pubblicazione: (2025)