16 citations · 25 across the 13 of their papers we have counts for
13 papers
Technically Plausible but Clinically Misleading? Expert Evaluation of Patient-Personalized Synthetic Prostate MRI
Gabriel Paulo Maglalang Israel, Sol Gedde, Alvaro Fernandez-Quilez
Magnetic resonance imaging (MRI) is central to prostate cancer assessment, yet its acquisition is costly and time-consuming, making it a major bottleneck in the patient care pathwa…
Clinical Pathways Matter for Multimodal Deep Learning in Early Alzheimers Disease Detection
Yao Lu, Solveig Kristina Hammonds, Alvaro Fernandez-Quilez
Identifying individuals at risk of Alzheimer's disease (AD), particularly in the preclinical and early stages, remains challenging. Although deep learning approaches based on struc…
Neuropsychiatric Deviations From Normative Profiles: An MRI-Derived Marker for Early Alzheimer's Disease Detection
Synne Hjertager Osenbroch, Lisa Ramona Rosvold, Yao Lu +1
Neuropsychiatric symptoms (NPS) such as depression and apathy are common in Alzheimer's disease (AD) and often precede cognitive decline. NPS assessments hold promise as early dete…
Beyond the Signal: Medication State Effect on EEG-Based AI models for Parkinson's Disease
Anna Kurbatskaya, Fredrik Nilsen Låder, Andreas Solvang Nese +2
Parkinson's disease (PD) poses a growing challenge due to its increasing prevalence, complex pathology, and functional ramifications. Electroencephalography (EEG), when integrated…
Leveraging multi-view data without annotations for prostate MRI segmentation: A contrastive approach
Tim Nikolass Lindeijer, Tord Martin Ytredal, Trygve Eftestøl +4
An accurate prostate delineation and volume characterization can support the clinical assessment of prostate cancer. A large amount of automatic prostate segmentation tools conside…
On undesired emergent behaviors in compound prostate cancer detection systems
Erlend Sortland Rolfsnes, Philip Thangngat, Trygve Eftestøl +4
Artificial intelligence systems show promise to aid in the di- agnostic pathway of prostate cancer (PC), by supporting radiologists in interpreting magnetic resonance images (MRI)…
Out-of-distribution multi-view auto-encoders for prostate cancer lesion detection
Alvaro Fernandez-Quilez, Linas Vidziunas, Ørjan Kløvfjell Thoresen +3
Traditional deep learning (DL) approaches based on supervised learning paradigms require large amounts of annotated data that are rarely available in the medical domain. Unsupervis…
Prostate Age Gap (PAG): An MRI surrogate marker of aging for prostate cancer detection
Alvaro Fernandez-Quilez, Tobias Nordström, Fredrik Jäderling +2
Background: Prostate cancer (PC) MRI-based risk calculators are commonly based on biological (e.g. PSA), MRI markers (e.g. volume), and patient age. Whilst patient age measures the…
Assessing gender fairness in EEG-based machine learning detection of Parkinson's disease: A multi-center study
Anna Kurbatskaya, Alberto Jaramillo-Jimenez, John Fredy Ochoa-Gomez +2
As the number of automatic tools based on machine learning (ML) and resting-state electroencephalography (rs-EEG) for Parkinson's disease (PD) detection keeps growing, the assessme…
Machine Learning-Based Detection of Parkinson's Disease From Resting-State EEG: A Multi-Center Study
Anna Kurbatskaya, Alberto Jaramillo-Jimenez, John Fredy Ochoa-Gomez +2
Resting-state EEG (rs-EEG) has been demonstrated to aid in Parkinson's disease (PD) diagnosis. In particular, the power spectral density (PSD) of low-frequency bands (δ and θ) and…
3D Masked Modelling Advances Lesion Classification in Axial T2w Prostate MRI
Alvaro Fernandez-Quilez, Christoffer Gabrielsen Andersen, Trygve Eftestøl +2
Masked Image Modelling (MIM) has been shown to be an efficient self-supervised learning (SSL) pre-training paradigm when paired with transformer architectures and in the presence o…
Self-transfer learning via patches: A prostate cancer triage approach based on bi-parametric MRI
Alvaro Fernandez-Quilez, Trygve Eftestøl, Morten Goodwin +2
Prostate cancer (PCa) is the second most common cancer diagnosed among men worldwide. The current PCa diagnostic pathway comes at the cost of substantial overdiagnosis, leading to…
Improving prostate whole gland segmentation in t2-weighted MRI with synthetically generated data
Alvaro Fernandez-Quilez, Steinar Valle Larsen, Morten Goodwin +3
Whole gland (WG) segmentation of the prostate plays a crucial role in detection, staging and treatment planning of prostate cancer (PCa). Despite promise shown by deep learning (DL…