da Silva, Mariana

1. ICAM-reg: Interpretable Classification and Regression with Feature Attribution for Mapping Neurological Phenotypes in Individual Scans
   2021/03/03 by Bass, Cher, da Silva, Mariana, Sudre, Carole +7 · 4 citations
   #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #electronic engineering #information engineering
2. Applications of interpretable deep learning in neuroimaging: a comprehensive review
   2024/05/30 by Lindsay Munroe, Mariana da Silva, Munroe, Lindsay +13 · 3 citations
   Computer Science · Neuroscience · #AI in cancer detection #Brain Tumor Detection and Classification #Computer Vision and Pattern Recognition (cs.CV) #Explainable Artificial Intelligence (XAI) #FOS: Biological sciences #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Neurons and Cognition (q-bio.NC) #electronic engineering #information engineering
3. ICAM: Interpretable Classification via Disentangled Representations and Feature Attribution Mapping
   2020/06/15 by Cher Bass, Mariana da Silva, Bass, Cher +9 · 1 citation
   Computer Science · #Domain Adaptation and Few-Shot Learning #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Healthcare #electronic engineering #information engineering
4. Biomechanical modelling of brain atrophy through deep learning
   2020/12/14 by Mariana da Silva, Kara Garcia, da Silva, Mariana +9 · 1 citation
   Computer Science · Engineering · Medicine · #Advanced Neuroimaging Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Biological sciences #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Medical Image Segmentation Techniques #Medical Imaging and Analysis #Tissues and Organs (q-bio.TO) #electronic engineering #information engineering