Oliver Díaz

Universidad Autónoma Metropolitana — Mexico

Computer Science · Physical Sciences

21h-index1.7kcitations137works4.82yr avg
OpenAlex↗ORCID↗Google Scholar↗Lab page↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

AI in cancer detection(53), Medical Imaging Techniques and Applications(43), Digital Radiography and Breast Imaging(43), Radiomics and Machine Learning in Medical Imaging(40), MRI in cancer diagnosis(20)

Publications136 total

Requirements Engineering for AI-Driven Healthcare Solutions: A Case Study Combining Social Innovation and Multistakeholder Engagement (Preprint)
2025Open Access
Stress detection using time-frequency analysis and machine learning framework
Biomedical Physics & Engineering Express·2025
Explainable Radiomics-Based Model for Automatic Image Quality Assessment in Breast Cancer DCE MRI Data
Journal of Imaging·2025Open Access
Federated nnU-Net for privacy-preserving medical image segmentation
Scientific Reports·2025Open Access
Explainable Radiomics‐Based Model for Automatic Image Quality Assessment in Breast Cancer Dce Mri Data
Preprints.org·2025Open Access
Comparing Conditional Diffusion Models for Synthesizing Contrast-Enhanced Breast MRI from Pre-contrast Images
Lecture notes in computer science·2025
Single Image Test-Time Adaptation via Multi-View Co-Training
Lecture notes in computer science·2025
Segmentation variability and radiomics stability for predicting triple-negative breast cancer subtype using magnetic resonance imaging
Journal of Medical Imaging·2025· 1 citedOpen Access
Listening, Learning, Leading: Sharing Global Stories of Partnership Through the Next Decade of the Interdisciplinary Journal of Partnership Studies
Interdisciplinary Journal of Partnership Studies·2025Open Access
Comparing Conditional Diffusion Models for Synthesizing Contrast-Enhanced Breast MRI from Pre-Contrast Images
arXiv (Cornell University)·2025Open Access
Explanation and Elaboration with Examples for METRICS (METRICS-E3): an initiative from the EuSoMII Radiomics Auditing Group
Insights into Imaging·2025· 5 citedOpen Access
Evaluation metrics in medical imaging AI: fundamentals, pitfalls, misapplications, and recommendations
European Journal of Radiology Artificial Intelligence·2025· 18 citedOpen Access
Optimization and validation of a mechanical compression model for digital breast phantoms in mammography and tomosynthesis simulations
Medical Physics·2025Open Access
Single Image Test-Time Adaptation via Multi-View Co-Training
arXiv (Cornell University)·2025Open Access
Simulating dynamic tumor contrast enhancement in breast MRI using conditional generative adversarial networks
Journal of Medical Imaging·2025· 5 citedOpen Access
1792 Deep learning decision-making framework for optimal technique selection in breast radiotherapy: predicting dose distributions for IMRT and 3D-CRT
Radiotherapy and Oncology·2025
From hand-crafted radiomics to deep learning: evaluating breast cancer classification methods in mammograms
2025
Assessing Cancer Presence in Prostate MRI Using Multi-Encoder Cross-Attention Networks
Journal of Imaging·2025Open Access
A large-scale multicenter breast cancer DCE-MRI benchmark dataset with expert segmentations
Scientific Data·2025· 30 citedOpen Access
Federated nnU-Net for Privacy-Preserving Medical Image Segmentation
arXiv (Cornell University)·2025Open Access
page 1 of 7Next →

Frequent Co-authors

Karim Lekadir(15), Robert Martí(11), Kaisar Kushibar(11), Richard Osuala(11), David R. Dance(11), Kenneth C. Young(9), Kevin Wells(9), Eloy García(9), Lidia Garrucho(8), Xavier Lladó(7), Ioannis Sechopoulos(6), Albert Gubern‐Mérida(6), Yago Díez(5), Marco Caballo(5), Christian Fedon(5), Richa Agarwal(4), Laura Igual(4), Fred Prior(4), Alejandro Rodríguez‐Ruiz(4), Premkumar Elangovan(4)