• Denoising task-correlated head motion from motor-task fMRI data with multi-echo ICA 

  Reddy, Neha A.; Zvolanek, Kristina M.; Moia, Stefano; Caballero-Gaudes, César; Bright, Molly G. (MIT PRESS, 2024)

  Motor-task functional magnetic resonance imaging (fMRI) is crucial in the study of several clinical conditions, including stroke and Parkinson’s disease. However, motor-task fMRI is complicated by task-correlated head ...
• The CrowdGleason dataset: Learning the Gleason grade from crowds and experts 

  López-Pérez, Miguel; Morquecho, Alba; Schmidt, Arne; Pérez-Bueno, Fernando; Martín-Castro, Aurelio; Mateos, Javier; Molina, Rafael (ELSEVIER, 2024)

  Background: Currently, prostate cancer (PCa) diagnosis relies on the human analysis of prostate biopsy Whole Slide Images (WSIs) using the Gleason score. Since this process is error-prone and time-consuming, recent advances ...
• The Gender Gap in Mathematical Competence and School Effectiveness in the Basque Country (Spain). 

  Oregui González, Eider ; Azkarate Morales, Ander; Lojo Novo, Amaia; Bartau Rojas, Isabel Ana (Hipatia Press, 2024-10-24)

  [EN] National and international assessments consistently report gender differences in mathematics, with boys scoring higher than girls. This study aims to explore whether the gender gap has been overcome in mathematical ...
• A novel image data base for social concepts reveals preference biases in autistic spectrum in adults and children 

  Soto, David ; Salazar, Amaia; Elosegi, Patxi; Walter, Antje; Mei, Ning; Rodriguez, Ekaine; Petrollini, Valentina; Vicente, Agustín (SPRINGER NATURE, 2024)

  Human beings display the extraordinary ability of grasping and communicating abstract concepts. Yet, no standardized instruments exist to assess this ability. Developing these tools is paramount for understanding abstract ...

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