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  • April 1, 2020. Pre-print of our recent work “Robust joint registration of multiple stains and MRI for multimodal 3D histology reconstruction: Application to the Allen human brain atlas” available at arXiv.
    • Code: https://github.com/acasamitjana/3dhirest
    • Data:https://openneuro.org/datasets/ds003590
  • November, 2020. Checkout DeepReg, an open-source learning-based registration framework in tensorflow. Well documented, wildly tested and with demos to get started. Honoured to be part of the core team.
    • Code in: https://github.com/DeepRegNet/DeepReg
  • October, 2020. MICCAI Conference: coauthor of “3D Reconstruction and Segmentation of Dissection Photographs for MRI-Free Neuropathology” (Tredgigo, et al.) https://arxiv.org/abs/2103.13578
  • June 30, 2020. Paper accepted in Scientific Reports: “A multimodal computational pipeline for 3D histology of the human brain” (Mancini et al.)
  • June 2, 2020. Paper accepted in Frontiers in Neurology: “Projection to Latent Spaces disentangles pathological effects on brain morphology in the asymptomatic phase of Alzheimer’s disease”. (Casamitjana et al.)
  • February, 2020. Paper accepted in Neuroinformatics: “NeAT: a nonlinear analysis toolbox for neuroimaging” (Casamitjana et al.). The code is publicly available through this webpage: https://imatge-upc.github.io/neat-tool/
  • July 28, 2019. Paper accepted in IEEE Journal of Biomedical and Helath Informatics (J-BHI): “Shared latent structures between imaging features and biomarkers in early stages of Alzheimer’s disease: a predictive study” (Casamitjana et al.)
  • July 23, 2019. Paper accepted in Alzheimer’s Research and Therapy: “Prediction of amyloid pathology in cognitively unimpaired individuals using voxelwise analysis of longitudinal structural brain MRI” (Petrone*, Casamitjana* et al.).
  • February 1, 2019. Visiting researcher at CMIC (UCL) under the supervision of Dr. Andre Altman.