OpenAlex · Aktualisierung stündlich · Letzte Aktualisierung: 26.03.2026, 20:01

Ghulam Rasool

263 Arbeiten2.978 Zitationen

University of Sargodha · PK

Relevante Arbeiten

Meistzitierte Publikationen im Bereich Gesundheit & MedTech

Revolutionizing Digital Pathology With the Power of Generative Artificial Intelligence and Foundation Models

2023 · 108 Zit. · Laboratory Investigation

Failure Detection in Deep Neural Networks for Medical Imaging

2022 · 21 Zit. · Frontiers in Medical Technology

Privacy-preserving Federated Learning and Uncertainty Quantification in Medical Imaging

2025 · 14 Zit. · Radiology Artificial Intelligence

Trustworthy Medical Segmentation with Uncertainty Estimation.

2021 · 7 Zit. · arXiv (Cornell University)

EvalAttAI: A Holistic Approach to Evaluating Attribution Maps in Robust and Non-Robust Models

2023 · 6 Zit. · IEEE Access

Reasoning Beyond Accuracy: Expert Evaluation of Large Language Models in Diagnostic Pathology

2025 · 3 Zit.

Improving Radiology Report Conciseness and Structure via Local Large Language Models

2025 · 3 Zit. · Journal of Imaging Informatics in Medicine

SUPER-Net: Trustworthy image segmentation via uncertainty propagation in encoder-decoder networks

2025 · 3 Zit. · Pattern Recognition

Towards an Explainable Mortality Prediction Model

2020 · 2 Zit.

Cross-Institutional Evaluation of Large Language Models for Radiology Diagnosis Extraction: A Prompt-Engineering Perspective

2025 · 1 Zit. · Journal of Imaging Informatics in Medicine

Common Errors In Proposal Writing: A Cross Sectional Study Among Post Graduate Medical Trainees At Peshawar.

2020 · 0 Zit. · PubMed

TheBlueScrubs-v1, a comprehensive curated medical dataset derived from the internet

2025 · 0 Zit. · ArXiv.org

EvalAttAI: A Holistic Approach to Evaluating Attribution Maps in Robust and Non-Robust Models

2023 · 0 Zit. · arXiv (Cornell University)

Improving Radiology Report Conciseness and Structure via Local Large Language Models

2024 · 0 Zit. · arXiv (Cornell University)

Deployment of a Robust and Explainable Mortality Prediction Model: The COVID-19 Pandemic and Beyond

2023 · 0 Zit. · arXiv (Cornell University)