Jaime S. Cardoso

Evaluation of Combined Artificial Intelligence and Radiologist Assessment to Interpret Screening Mammograms

2020 · 409 Zit. · JAMA Network Open

Artificial Intelligence in Medicine

2020 · 53 Zit. · Lecture notes in computer science

Annotating for Artificial Intelligence Applications in Digital Pathology: A Practical Guide for Pathologists and Researchers

2023 · 31 Zit. · Modern Pathology

Evaluating the ability of an artificial-intelligence cloud-based platform designed to provide information prior to locoregional therapy for breast cancer in improving patient’s satisfaction with therapy: The CINDERELLA trial

2023 · 24 Zit. · PLoS ONE

How to produce complementary explanations using an Ensemble Model

2019 · 18 Zit.

Disentangled Representation Learning for Privacy-Preserving Case-Based Explanations

2023 · 5 Zit. · Lecture notes in computer science

Towards Privacy-preserving Explanations in Medical Image Analysis

2021 · 3 Zit. · arXiv (Cornell University)

A survey on attention mechanisms for medical applications: are we moving towards better algorithms?

2022 · 2 Zit. · arXiv (Cornell University)

International workshop on Artificial Intelligence in Medical Applications

2013 · 0 Zit. · Federated Conference on Computer Science and Information Systems

Disentanglement and Assessment of Shortcuts in Ophthalmological Retinal Imaging Exams

2025 · 0 Zit. · ArXiv.org

Federated Learning Under Data Heterogeneity and Scarcity in Medical Imaging: A Systematic Review and Taxonomy

2026 · 0 Zit. · SSRN Electronic Journal

WeNLEX: Weakly Supervised Natural Language Explanations for Multilabel Chest X-ray Classification

2026 · 0 Zit. · ArXiv.org

Evaluating the Potential of Generative AI in Digestive Endoscopy: ChatGPT-4 for Advanced Image Analysis in Gastroenterology

2025 · 0 Zit. · Endoscopy

Interpretable AI for medical image analysis: methods, evaluation, and clinical considerations

2025 · 0 Zit. · Elsevier eBooks

WeNLEX: Weakly Supervised Natural Language Explanations for Multilabel Chest X-ray Classification

2026 · 0 Zit. · arXiv (Cornell University)