Classification of Alzheimer's Disease in MRI based on Dictionary Learning and Heavy Tailed Modelling. - Perla Mayo; Robin Holmes; Alin Achim (EMBC, 2019)

Super-Resolution OCT Using Sparse Representations and Heavy-Tailed Models. - Daniel Valdez Zermeno; Perla Mayo; Lindsay Nicholson; Alin Achim (EMBC, 2019)

Iterative Cauchy Thresholding: Regularisation With A Heavy-Tailed Prior. - Perla Mayo; Robin Holmes; Alin Achim (ICIP, 2020)

Convergence Guarantees for Non-Convex Optimisation With Cauchy-Based Penalties. - Oktay Karakus; Perla Mayo; Alin Achim (IEEE Trans. Signal Process., 2020)

Representation Learning via Cauchy Convolutional Sparse Coding. - Perla Mayo; Oktay Karakus; Robin Holmes; Alin Achim (IEEE Access, 2021)

Detection of Parasitic Eggs from Microscopy Images and the emergence of a new dataset. - Perla Mayo; Nantheera Anantrasirichai; Thanarat H. Chalidabhongse; Duangdao Palasuwan; Alin Achim (CoRR, 2022)

Deep Image Priors for Magnetic Resonance Fingerprinting with Pretrained Bloch-Consistent Denoising Autoencoders. - Perla Mayo; Matteo Cencini; Ketan Fatania; Carolin M. Pirkl; Marion I. Menzel; Bjoern H. Menze; Michela Tosetti; Mohammad Golbabaee (ISBI, 2024)

StoDIP: Efficient 3D MRF Image Reconstruction with Deep Image Priors and Stochastic Iterations. - Perla Mayo; Matteo Cencini; Carolin M. Pirkl; Marion I. Menzel; Michela Tosetti; Bjoern H. Menze; Mohammad Golbabaee (MLMI@MICCAI (2), 2024)

Improved Patch Denoising Diffusion Probabilistic Models for Magnetic Resonance Fingerprinting. - Perla Mayo; Carolin M. Pirkl; Alin Achim; Bjoern H. Menze; Mohammad Golbabaee (CoRR, 2024)

Physics informed guided diffusion for accelerated multi-parametric MRI reconstruction. - Perla Mayo; Carolin M. Pirkl; Alin Achim; Bjoern H. Menze; Mohammad Golbabaee (CoRR, 2025)