Product
Help
Pricing
About
Jobs
Log in
Get started
Author
Add to collection
Grzegorz Skorupko
Observed name:
Skorupko, Grzegorz
Institution:
Universitat de Barcelona
Observed institution:
Universitat de Barcelona
ORCID:
0000-0002-1059-6915
Observed ORCID:
0000-0002-1059-6915
OpenAlex ID:
A5014439080
medigan: a Python library of pretrained generative models for medical image synthesis
2023
·
Richard Osuala
, Grzegorz Skorupko
, et al.
·
Journal of medical imaging
·
59
PDF
Towards Learning Contrast Kinetics with Multi-condition Latent Diffusion Models
2024
·
Richard Osuala
, Daniel M. Lang
, et al.
·
Lecture notes in computer science
·
19
PDF
Federated nnU-Net for privacy-preserving medical image segmentation
2025
·
Grzegorz Skorupko
, Fotios Avgoustidis
, et al.
·
Scientific Reports
·
15
PDF
Fairness-Aware Data Augmentation for Cardiac MRI Using Text-Conditioned Diffusion Models
2025
·
Grzegorz Skorupko
, Richard Osuala
, et al.
·
Lecture notes in computer science
·
9
PDF
Big Data and Trustworthy AI for Heart Failure: A Review
2026
·
Joan Perramon-Llussà
, Grzegorz Skorupko
, et al.
·
Circulation Heart Failure
·
8
Enhancing the Utility of Privacy-Preserving Cancer Classification Using Synthetic Data
2025
·
Richard Osuala
, Daniel M. Lang
, et al.
·
Lecture notes in computer science
·
5
PDF
Dense Temporal Contrast Synthesis via Conditioned Latent Transport
2026
·
Joshi, Smriti
, Tsirikoglou, Apostolia
, et al.
·
arXiv (Cornell University)
·
1
PDF
Debiasing Cardiac Imaging with Controlled Latent Diffusion Models
2024
·
Skorupko, Grzegorz
·
TIB Data Manager
·
1
FLCore
2026
·
Skorupko, Grzegorz
·
Zenodo (CERN European Organization for Nuclear Research)
Metadata-Aware Adaptation of a Generative Foundation Model for Conditional CMR Synthesis
2026
·
Rodríguez, Marc
, Skorupko, Grzegorz
, et al.
·
arXiv (Cornell University)
PDF
Med-DualLoRA: Local Adaptation of Foundation Models for 3D Cardiac MRI
2026
·
Perramon-Llussà, Joan
, Jiménez-Sánchez, Amelia
, et al.
·
arXiv (Cornell University)
PDF
Show more works
View as search
Works count:
13
Citation count:
119
H-index:
5
I10-index:
3
Year
Topic
Type