7 citations · 9 across the 6 of their papers we have counts for
6 papers
FLARE: A Systematic, Uncertainty-Aware Framework for Evidence-Based Adoption of Artificial Intelligence in Healthcare
Jacob Idoko, Siddhartha Paudel, Mariana Bento +2
Artificial intelligence is increasingly being introduced into healthcare workflows, yet most evaluations emphasize model accuracy rather than whether adoption is economically worth…
Enhancing and Accelerating Brain MRI through Deep Learning Reconstruction Using Prior Subject-Specific Imaging
Amirmohammad Shamaei, Alexander Stebner, Salome +5
Magnetic resonance imaging (MRI) is a crucial medical imaging modality. However, long acquisition times remain a significant challenge, leading to increased costs, and reduced pati…
Responsible AI in the Software Industry: A Practitioner-Centered Perspective
Matheus de Morais Leça, Mariana Bento, Ronnie de Souza Santos
Responsible AI principles provide ethical guidelines for developing AI systems, yet their practical implementation in software engineering lacks thorough investigation. Therefore,…
Trustworthy and Responsible AI for Human-Centric Autonomous Decision-Making Systems
Farzaneh Dehghani, Mahsa Dibaji, Fahim Anzum +23
Artificial Intelligence (AI) has paved the way for revolutionary decision-making processes, which if harnessed appropriately, can contribute to advancements in various sectors, fro…
Studying the Effects of Sex-related Differences on Brain Age Prediction using brain MR Imaging
Mahsa Dibaji, Neha Gianchandani, Akhil Nair +3
While utilizing machine learning models, one of the most crucial aspects is how bias and fairness affect model outcomes for diverse demographics. This becomes especially relevant i…
A voxel-level approach to brain age prediction: A method to assess regional brain aging
Neha Gianchandani, Mahsa Dibaji, Johanna Ospel +4
Brain aging is a regional phenomenon, a facet that remains relatively under-explored within the realm of brain age prediction research using machine learning methods. Voxel-level p…