Scholar
Richard Osuala
Google Scholar ID: 0KkVRVQAAAAJ
University of Barcelona
Medical Image Analysis
Generative Models
Computer Vision
Deep Learning
Follow
Google Scholar
↗
Citations & Impact
All-time
Citations
841
H-index
11
i10-index
12
Publications
20
Co-authors
19
list available
Contact
No contact links provided.
Publications
11 items
The MAMA-MIA Challenge: Advancing Generalizability and Fairness in Breast MRI Tumor Segmentation and Treatment Response Prediction
2026
Cited
0
Agent-Based Output Drift Detection for Breast Cancer Response Prediction in a Multisite Clinical Decision Support System
2025
Cited
0
Progressive Growing of Patch Size: Curriculum Learning for Accelerated and Improved Medical Image Segmentation
2025
Cited
0
Mask-Guided Multi-Channel SwinUNETR Framework for Robust MRI Classification
2025
Cited
0
Comparing Conditional Diffusion Models for Synthesizing Contrast-Enhanced Breast MRI from Pre-Contrast Images
2025
Cited
0
Clinically-guided Data Synthesis for Laryngeal Lesion Detection
2025
Cited
0
Single Image Test-Time Adaptation via Multi-View Co-Training
2025
Cited
0
Temporal Neural Cellular Automata: Application to modeling of contrast enhancement in breast MRI
2025
Cited
0
Load more
Resume (English only)
Co-authors
19 total
Karim Lekadir
ICREA Research Professor, Universitat de Barcelona
Oliver Diaz
Associate Professor at University of Barcelona (Spain)
Kaisar Kushibar
University of Barcelona
Lidia Garrucho
Universitat de Barcelona
Smriti Joshi
Artificial Intelligence in Medicine (BCN-AIM), Universitat de Barcelona
Co-author 6
Grzegorz Skorupko
Universitat de Barcelona
Akis Linardos
Indiana University
×
Welcome back
Sign in to Agora
Welcome back! Please sign in to continue.
Email address
Password
Forgot password?
Continue
Do not have an account?
Sign up